Representative works

  1. J Li, T Yu, Y Wang, R Wattenhofer. (2022) Dynamic Byzantine Broadcast in Asynchronous Message-Passing Systems
  2. Li, Z.; Ma, Y.; Zhang, K.; Wan, J.; Zhao, D.; Pi, Y.; Chen, G.; Zhang, J.; Tang, W.; Lin, L.*; Zhong, J.*; Air Permeable Vibrotactile Actuators for Wearable Wireless Haptics, Advanced Functional Materials 2022, 202211146
  3. Zhong, J.; Li, Z.; Takakuwa, M.; Inoue, D.; Hashizume, D.; Jiang, Z.; Ou, L.; Nayeem, M.; Umezu, S.; Fukuda, K.*; Someya, T.*; Smart Face Mask Based on An Ultrathin Pressure Sensor for Wireless Monitoring of Breath Conditions, Advanced Materials 2022, 34, 2107758.
  4. Zhao, D.; Zhang, K; Meng, Y.; Li, Z.; Pi, Y.; Shi, Y.; You, J.; Wang, R.; Dai, Z.; Zhou, B.; Zhong, J.*; Untethered Triboelectric Patch for Wearable Smart Sensing and Energy Harvesting, Nano Energy 2022, 100, 107500.
  5. Zhang, K.; Li, Z.; Zhang, J.; Zhao, D.; Pi, Y.; Shi, Y.; Wang, R.; Chen, P.; Li, C.; Chen, G.; Lei, I. M.; Zhong, J.*, Biodegradable Smart Face Masks for Machine Learning-Assisted Chronic Respiratory Disease Diagnosis. ACS Sensors 2022, 7 (10), 3135-3143.
  6. Lin, S.; Xu, Z.; Wang, S.; Cao, J.; Zhong, J.*; Li, G.*; Fang, P.*; Multiplying the Stable Electrostatic Field of Electret Based on the Heterocharge-Synergy and Superposition Effect, Advanced Science 2022, 9 (32), 2203150.
  7. Shi, Y.; Zhang, K.; Ding, S.; Li, Z.; Huang, Y.; Pi, Y.; Zhao, D.; Zhang, Y.; Wang, R.; Zhou, B.; Yang, Z.; Zhong, J.*, A Self-Powered Piezoelectret Sensor Based on Foamed Plastic Garbage for Monitoring Human Motions, Nano Research 2022, 9, 2203150.
  8. Zhang, Y. W.; Zhang, K.; Shi, Y.; Li, Z.; Zhao, D.; Pi, Y.; Cui, Y.; Zhou, X.; Zhang, Y.*; Zhong, J.*, Electromagnetic Energy Harvesters Based on Natural Leaves for Constructing Self-Powered Systems, Materials Today Energy 2022, 29, 101131.
  9. Qiu, W.; Li, Z.; Wang, G.; Peng, Y.; Zhang, M.*; Wang, X.; Zhong, J.*; Lin, L.*; A Moisture-Resistant Soft Actuator with Low Driving Voltages for Haptic Stimulations in Virtual Games, ACS Applied Materials & Interfaces 2022, 14, 31257–31266.
  10. Cui, Y.*; Wu, M., Li, Z.; Song, X.*; Wang, C.; Yuan, H.; Yang, Z.; Zhong, J.*; A Miniaturized Mechanical Antenna Bases on FEP/THV Unipolar Electret for Extremely-Low Frequency Transmission. Microsystems & Nanoengineering 2022, 8, 58.
  1. Jiang, T.; Qiu, W.; Li, Z.; Ye, X.; Liu, Y.; Li, Y.; Wang, X.; Zhong, J.*; Qian, X*.; Lin, L.*; Programmable Tactile Feedback Patterns for Cognitive Assistance by Flexible Electret Actuators. Advanced Functional Materials 2022, 32, 2107985.
  2. Statistical Inference of spot correlation and spot market Beta under infinite variation jumps, Journal of Financial Econometrics. 20, 612-654.
  3. BAI Lu, LIU Zhi and WANG Jianzhou (2022), Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction, Applied Mathematical Modelling, 106, 177-198.
  4. LIU Qiang, LIU Zhi and ZHANG Chuanhai (2022). Heteroscedasticity test of high-frequency data with jumps and market microstructure noise, Applied Stochastic Models in Business and Industry, 38(3), 441-457.
  5. Zhao, Kai, Long Chen, and CL Philip Chen. “Event-Based Adaptive Neural Control of Nonlinear Systems With Deferred Constraint.” IEEE Transactions on Systems, Man, and Cybernetics: Systems vol. 52, no. 10, pp. 6273-6282, (2022).
  6. Tian, Yifei, Wei Song, Long Chen, Simon Fong, Yunsick Sung, and Jeonghoon Kwak. “A 3D Object Recognition Method From LiDAR Point Cloud Based on USAE-BLS.” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 15267-15277 (2022)
  7. Wang, Yingxu, Tianjun Li, Long Chen, Yufeng Yu, Yinping Zhao, and Jin Zhou. “Tensor-based robust principal component analysis with locality preserving graph and frontal slice sparsity for hyperspectral image classification.” IEEE Transactions on Geoscience and Remote Sensing vol. 60, pp. 1-19, 2022, Art no. 5508319.
  8. Chen, Long, Jia-Bing Chen, Guang-Yong Chen, Min Gan, and CL Philip Chen. “Nuisance Parameter Estimation Algorithms for Separable Nonlinear Models.” IEEE Transactions on Systems, Man, and Cybernetics: Systems vol. 52, no. 11, pp. 7236-7247 (2022).
  1. Wang, Yingxu, Long Chen, Jin Zhou, Tianjun Li, and CL Philip Chen. “Interval type-2 outlier-robust picture fuzzy clustering and its application in medical image segmentation.” Applied Soft Computing 122 (2022): 108891.
  2. Wei, Huiqin, Long Chen, CL Philip Chen, Junwei Duan, Ruizhi Han, and Li Guo. “Fuzzy clustering for multiview data by combining latent information.” Applied Soft Computing 126 (2022): 109140.
  3. Chen, Long, Yin-Ping Zhao, and Chuanbin Zhang. “Efficient kernel fuzzy clustering via random Fourier superpixel and graph prior for color image segmentation.” Engineering Applications of Artificial Intelligence 116 (2022): 105335.
  4. Xiaofei Yang, Weijia Cao, Yao Lu, and Yicong Zhou*, “Self-Supervised Learning with Prediction of Image Scale and Spectral Order for Hyperspectral Image Classification”, IEEE Transactions on Geoscience and Remote Sensing, 60, 5545715, 2022.
  5. Rui Xu, Lei Xing, Shuai Shao, Lifei Zhao, Baodi Liu, Weifeng Liu, and Yicong Zhou, “GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning”, IEEE Transactions on Circuits and Systems for Video Technology, 32(12), 8674–8687, 2022.
  6. Yongshan Zhang, Yang Wang, Xiaohong Chen, Xinwei Jiang, and Yicong Zhou*, “Spectral-Spatial Feature Extraction with Dual Graph Autoencoder for Hyperspectral Image Clustering”, IEEE Transactions on Circuits and Systems for Video Technology, 32(12), 8500–8511, 2022.
  7. Yinxing Zhang, Zhongyun Hua, Han Bao, Hejiao Huang, and Yicong Zhou, “An n-Dimensional Chaotic System Generation Method Using Parametric Pascal Matrix”, IEEE Transactions on Industrial Informatics, 18(12), 8434–8444, 2022.
  8. Shen Wang, Zhaoyang Zhang, Guopu Zhu, Xinpeng Zhang, Yicong Zhou, and Jiwu Huang, “Query-Efficient Adversarial Attack with Low Perturbation Against End-to-End Speech Recognition Systems”, IEEE Transactions on Information Forensics and Security, 18, 351–364, 2022.
  9. Tianjun Zhang, Hao Deng, Lin Zhang, Shengjie Zhao, Xiao Liu, and Yicong Zhou, “Online Correction of Camera Poses for the Surround-view System: A Sparse Direct Approach”, ACM Transactions on Multimedia Computing, Communications, and Applications, 18(4), 106, 2022.
  10. Tianjun Zhang, Lin Zhang, Yang Chen, and Yicong Zhou, “CVIDS: A Collaborative Localization and Dense Mapping Framework for Multi-agent Based Visual-inertial SLAM”, IEEE Transactions on Image Processing, 31, 6562–6576, 2022.
  11. Yao Lu, Zheng Zhang, Guangming Lu, Yicong Zhou, Jinxing Li, and David Zhang, “Addi-Reg: A Better Generalization-Optimization Trade-off Regularization Method for Convolutional Neural Networks”, IEEE Transactions on Cybernetics, 52(10), 10827–10842, 2022.
  12. Wei Lu, Qin Zhang, Shangjun Luo, Jiwu Huang, Yicong Zhou, and Yun-Qing Shi, “Robust Estimation of Upscaling Factor on Double JPEG Compressed Images”, IEEE Transactions on Cybernetics, 52(10), 10814–10826, 2022.
  13. Yongshan Zhang, Xinxin Wang, Xinwei Jiang, and Yicong Zhou*, “Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection”, IEEE Transactions on Geoscience and Remote Sensing, 60, 5538513, 2022.
  14. Yongyong Chen, Xiaolin Xiao, Zhongyun Hua, and Yicong Zhou*, “Adaptive Transition Probability Matrix Learning for Multiview Spectral Clustering”, IEEE Transactions on Neural Networks and Learning Systems, 33(9), 4712–4726, 2022.
  15. Yongyong Chen, Shuqin Wang, Xiaolin Xiao, Youfa Liu, Zhongyun Hua, and Yicong Zhou, “Self-paced Enhanced Low-rank Tensor Kernelized Multi-view Subspace Clustering”, IEEE Transactions on Multimedia, 24, 4054–4066, 2022.
  16. Jie Chang, Guopu Zhu, Hongli Zhang, Yicong Zhou, Xiangyang Luo, and Ligang Wu, “Reversible Data Hiding for Color Images Based on Adaptive 3D Prediction-Error Expansion and Double Deep Q-network”, IEEE Transactions on Circuits and Systems for Video Technology, 32(8), 5055–5067, 2022.
  17. Zhongyun Hua, Yanxiang Wang, Shuang Yi, Yicong Zhou, and Xiaohua Jia, “Reversible Data Hiding in Encrypted Images Using Cipher-Feedback Secret Sharing”, IEEE Transactions on Circuits and Systems for Video Technology, 32(8), 4968–4982, 2022.
  18. Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao, and Changsheng Xu, “Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation”, ACM Transactions on Multimedia Computing, Communications, and Applications, 18(3), 72, 2022.
  19. Ruijun Ma, Bob Zhang, Yicong Zhou, Zhengming Li, and Fangyuan Lei, “PID Controller Guided Attention Neural Network Learning for Fast and Effective Real Photographs Denoising”, IEEE Transactions on Neural Networks and Learning Systems, 33(7), 3010–3023, 2022.
  20. Yulan Zhang, Guopu Zhu, Ligang Wu, Sam Kwong, Hongli Zhang, and Yicong Zhou, “Multi-task SE-Network for Image Splicing Localization”, IEEE Transactions on Circuits and Systems for Video Technology, 32(7), 4828–4840, 2022.
  21. Xuan Shao, Lin Zhang, Tianjun Zhang, Ying Shen, and Yicong Zhou, “MOFISSLAM: A Multi-Object Semantic SLAM System with Front-view, Inertial and Surround-view Sensors for Indoor Parking”, IEEE Transactions on Circuits and Systems for Video Technology, 32(7), 4788–4803, 2022.
  22. Zhongyun Hua, Yongyong Chen, Han Bao, and Yicong Zhou, “Two-Dimensional Parametric Polynomial Chaotic System”, IEEE Transactions on Systems, Man and Cybernetics: Systems, 52(7), 4402–4414, 2022.
  23. Wei Lu, Junjia Chen, Junhong Zhang, Jiwu Huang, Jian Weng, and Yicong Zhou, “Secure Halftone Image Steganography Based on Feature Space and Layer Embedding”, IEEE Transactions on Cybernetics, 52(6), 5001–5014, 2022.
  24. Yu Jiang, Hua Chen, Xiaogang Zhang, Yicong Zhou, and Lianhong Wang, “Combustion Condition Recognition of Coal-Fired Kiln Based on Chaotic Characteristics Analysis of Flame Video”, IEEE Transactions on Industrial Informatics, 18(6), 3843–3852, 2022.
  25. Xiaofei Yang, Weijia Cao, Yao Lu, and Yicong Zhou*, “Hyperspectral Image Transformer Classification Networks”, IEEE Transactions on Geoscience and Remote Sensing, 60, 5528715, 2022.
  26. Xinyu Zhang, Yantao Wei, Weijia Cao, Huang Yao, Jiangtao Peng, and Yicong Zhou, “Local Correntropy Matrix Representation for Hyperspectral Image Classification”, IEEE Transactions on Geoscience and Remote Sensing, 60, 5525813, 2022.
  27. Bing Chen, Wei Lu, Jiwu Huang, Jian Weng, and Yicong Zhou, “Secret Sharing Based Reversible Data Hiding in Encrypted Images with Multiple Data-hiders”, IEEE Transactions on Dependable and Secure Computing, 19(2), 978–991, 2022.
  28. Jianquan Yang, Guopu Zhu, Yao Luo, Sam Kwong, Xinpeng Zhang, and Yicong Zhou, “Forensic Analysis of JPEG-domain Enhanced Images via Coefficient Likelihood Modeling”, IEEE Transactions on Circuits and Systems for Video Technology, 32(3), 1006–1019, 2022.
  29. Yongshan Zhang, Xinxin Wang, Xinwei Jiang, and Yicong Zhou*, “Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection”, IEEE Transactions on Geoscience and Remote Sensing, 60, 5516712, 2022.
  30. Zhongyun Hua, Yinxing Zhang, Han Bao, Hejiao Huang, and Yicong Zhou, “n-Dimensional Polynomial Chaotic System with Applications”, IEEE Transactions on Circuits and Systems I: Regular Papers, 69(2), 784–797, 2022.
  31. Yongyong Chen, Xiaolin Xiao, Chong Peng, Guangming Lu, and Yicong Zhou*, “Low-Rank Tensor Graph Learning for Multi-view Subspace Clustering”, IEEE Transactions on Circuits and Systems for Video Technology, 32(1), 92–104, 2022.
  32. Wu, Q., Wu, Y., Zhang, Y., & Zhang, L. (2022). A Local–Global Estimator Based on Large Kernel CNN and Transformer for Human Pose Estimation and Running Pose Measurement. IEEE Transactions on Instrumentation and Measurement, 71, 1-12.
  33. Dai, L., Zhang, L., Chen, Z., & Ding, W. (2022). Collaborative granular sieving: A deterministic multievolutionary algorithm for multimodal optimization problems. Information Sciences, 613, 288-308.
  34. Dai, L., Zhang, L., & Li, H. (2022). Image Compression Using Stochastic-AFD Based Multisignal Sparse Representation. IEEE Transactions on Image Processing, 31, 5317-5331.
  35. Dai, L., & Zhang, L. (2022). A Joint Spatiotemporal Video Compression Based on Stochastic Adaptive Fourier Decomposition. IEEE Signal Processing Letters, 29, 1531-1535.
  36. Qian, T., Dai, L., Zhang, L., & Chen, Z. (2022). Granular sieving algorithm for selecting best n n parameters. Mathematical Methods in the Applied Sciences.
  37. Mok, K., & Zhang, L. (2022). Adaptive traffic signal management method combining deep learning and simulation. Multimedia Tools and Applications, 1-21.
  38. Ge, Y., Sheng, Z., Fang, Y., & Zhang, L. (2022). An AFD-Based ILC Dynamics Adaptive Matching Method in Frequency Domain for Distributed Consensus Control of Unknown Multiagent Systems. IEEE Transactions on Circuits and Systems I: Regular Papers.
  39. Xie Wei, David Cabecinhas, Rita Cunha, Carlos Silvestre, Cooperative Path Following Control of Multiple Quadcopters with Unknown External Disturbances, IEEE Transactions on Systems, Man and Cybernetics: Systems, Volume 52, Issue 1, pages 667-679, January 2022
  1. Wei Xie, David Cabecinhas, Rita Cunha, Carlos Silvestre, Adaptive Backstepping Control of a Quadcopter with Uncertain Vehicle Mass, Moment of Inertia, and Disturbances, IEEE Transactions on Industrial Electronics, Volume 69, Issue 1, pages 549-559, January 2022.
  2. Xie Wei, Weidong Zhang, Carlos Silvestre, Saturated Backstepping-based Tracking Control of a Quadrotor with Uncertain Vehicle Parameters and External Disturbances, IEEE Control Systems Letters, Volume 6, Pages 1634–1639, 2022.
  3. Sneha Gajbhiye, David Cabecinhas, Carlos Silvestre, Rita Cunha, Geometric finite-time inner-outer loop trajectory tracking control strategy for quadrotor slung-load transportation, Nonlinear Dynamics, Volume 107, Pages 2291–2308, February 2022.
  4. Daniel Silvestre, Paulo Rosa, João P. Hespanha, Carlos Silvestre, Stochastic and Deterministic State-Dependent Social Networks, IEEE Transactions on Systems, Man and Cybernetics: Systems, Volume 52, Issue 2, pages 911-926, February 2022.
  5. David Santos, Pedro Batista, Paulo Oliveira, Carlos Silvestre, Decentralized Navigation Systems for Bearing-based Position and Velocity Estimation in Tiered Formations, International Journal of Systems Science, Volume 53, Issue 3, pages 504-525, March 2022.
  6. Fan Wang, Zidong Wang, Jinling Liang, and Carlos Silvestre, A Recursive Algorithm for Secure Filtering for Two-Dimensional State-Saturated Systems under Network-based Deception Attacks, IEEE Transactions on Network Science and Engineering, Volume 9, Issue 2, pages 678-688, March 2022.
  7. Yu Gan, David Cabecinhas, Rita Cunha, Carlos Silvestre, Aggressive maneuvers for a quadrotor-slung-load system through fast trajectory generation and tracking, Autonomous Robots, Volume 46, Number 3, Pages 499-513, March 2022.
  8. Leonardo Pedroso, Pedro Batista, Paulo Oliveira, Carlos Silvestre, Discrete-time distributed Kalman filter design for networks of interconnected systems with linear time-varying dynamics, International Journal of Systems Science, Volume 53, Issue 6, pages 1334-1351, June 2022.
  9. Guilherme Ramos, Daniel Silvestre, Carlos Silvestre, General Resilient Consensus Algorithms, International Journal Control, Volume 95, Issue 6, June 2022,
  10. Pedro Casau, Ricardo G. Sanfelice, Carlos Silvestre, On the Robustness of Nominally Well-Posed Event-Triggered Controllers, IEEE Control Systems Letters, Volume 6, Pages 415-420, June 2022.
  11. Ziqhi Tang, Rita Cunha, Tarek Hamel, Carlos Silvestre, Relaxed bearing rigidity and bearing formation control under persistence of excitation, Automatica, Volume 141, Issue 7, pages ,1-8, July 2022.
  12. Rongchen Zhao, Wei Xie, Jin Zhao, Pak Kin Wong, Carlos Silvestre, Adaptive Ride Height Controller Design for Vehicle Active Suspension Systems with Uncertain Sprung Mass and Time-varying Disturbances, International Journal of Robust and Nonlinear Control, Volume 32, Issue10, pages 5950-5966, July 2022,
  13. Yao Zou, Wenfu Yang, Wei He, Qiang Fu, Qing Li, Carlos Silvestre, Coordinate-Free Distributed Localization and Circumnavigation for Nonholonomic Vehicles Without Position Information, IEEE Transactions on Mechatronics, Volume 27, Issue 5, Pages 2523-2534, October 2022,
  14. Xinbo Yu, Bin Li, Wei He, Yanghe Feng, Long Cheng, Carlos Silvestre, Adaptive Constrained Impedance Control for Human-Robot Co-Transportation, IEEE Transactions on Cybernetics, Volume 52, Issue 12, pages 13237-13249, December 2022,
  15. Mingzhou Xu, Longyue Wang, Derek F. Wong, Hongye Liu, Linfeng Song, Lidia S. Chao, Shuming Shi, and Zhaopeng Tu. GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pages 11266–11278, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
  16. Zhaocong Li, Xuebo Liu, Derek F. Wong, Lidia S. Chao, and Min Zhang. ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pages 8383–8394, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
  17. Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek F. Wong, and Lidia Chao. UniTE: Unified Translation Evaluation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 8117-8127. 2022.
  18. Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, and Lidia Chao. Attention Mechanism with Energy-Friendly Operations. In Findings of the Association for Computational Linguistics: ACL 2022, pp. 3969-3976. 2022.
  1. Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, and Jun Xie. Alibaba-Translate China’s Submission for WMT 2022 Metrics Shared Task. In Proceedings of the Sixth Conference on Machine Translation, 2022.
  2. Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, and Jun Xie. Alibaba-Translate China’s Submission for WMT 2022 Quality Estimation Shared Task. In Proceedings of the Sixth Conference on Machine Translation, 2022.
  3. Rong Xiao, Yu Wan, Baosong Yang, Haibo Zhang, Huajin Tang, Derek F. Wong, and Boxing Chen. Towards Energy-Preserving Natural Language Understanding with Spiking Neural Networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing (2022).
  4. Mingzhou Xu, Baosong Yang, Derek F. Wong, and Lidia S. Chao. (2022). Multi-view self-attention networks. Knowledge-Based Systems 241 (2022), p. 108268.
  5. Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Liang Yao, Haibo Zhang, and Boxing Chen. (2022). Challenges of Neural Machine Translation for Short Texts. In: Computational Linguistics (Mar. 2022), pp. 1–21.
  6. Z Feng, M Ming, J Ling, X Xiao, Z Yang, F Wan, “Fractional delay filter based repetitive control for precision tracking: design and application to a piezoelectric nanopositioning stage”, Mechanical Systems and Signal Processing, 164, 108249, 2022.
  1. Z Wang, C Wong, A Rosa, T Qian, F Wan, “Adaptive Fourier decomposition for multi-channel signal analysis,” IEEE Transactions on Signal Processing, 70(1), 903-918, 2022.
  2. C Wong, Z Wang, M Nakanishi, B Wang, A Rosa, P Chen, T-P Jung, F Wan, “Online adaptation boosts SSVEP-based BCIs performance”, IEEE Transactions on Biomedical Engineering, 69(6), 2018-2028, 2022.
  3. Z Wang, C Wong, W Nan, Q Tang, A Rosa, P Xu, F Wan, “Learning curve and dynamic brain network based on phase locking value during short time neurofeedback training,” IEEE Transactions on Cognitive and Developmental Systems, 14(3): 1282-1295, 2022.
  4. Huang, C. -M. Vong, W. Qian, Q. Huang and Y. Zhou, “Online Label Distribution Learning Using Random Vector Functional-Link Network,” in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2022.3230400.
  5. Zhou, C. -M. Vong, Y. Nojima and S. Wang, “A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization,” in IEEE Transactions on Fuzzy Systems, 2022, doi: 10.1109/TFUZZ.2022.3223700.
  6. Hui Huang, Hai-Jun Rong, Zhao-Xu Yang, Chi-Man Vong,Recursive least mean dual p-power solution to the generalization of evolving fuzzy system under multiple noises,Information Sciences,Volume 609,2022,Pages 228-247,ISSN 0020-0255.
  7. -C. Wong, C. -M. Vong, X. Jiang and Y. Zhou, “Feature-Based Direct Tracking and Mapping for Real-Time Noise-Robust Outdoor 3D Reconstruction Using Quadcopters,” in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, pp. 20489-20505, Nov. 2022, doi: 10.1109/TITS.2022.3178879.
  8. Qi Lai, Chi Man Vong, Pak Kin Wong, Shi Tong Wang, Tao Yan, I. Cheong Choi, Hon Ho Yu,Multi-scale Multi-instance Multi-feature Joint Learning Broad Network (M3JLBN) for gastric intestinal metaplasia subtype classification,Knowledge-Based Systems,Volume 249,2022,108960,ISSN 0950-7051.
  9. Sun, C. M. Vong and S. Wang, “Fast AUC Maximization Learning Machine With Simultaneous Outlier Detection,” in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2022.3164900.
  10. Huang, C. -M. Vong, C. L. P. Chen and Y. Zhou, “Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation,” in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2022.3165299.
  11. Chuangquan Chen, Chi-Man Vong, Shitong Wang, Hongtao Wang, Miaoqi Pang,Easy Domain Adaptation for cross-subject multi-view emotion recognition,Knowledge-Based Systems,Volume 239,2022,107982,ISSN 0950-7051.
  12. Yang, ZX., Rong, HJ., Wong, P.K. et al. A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine. Cogn Comput 14, 828–851 (2022). https://doi.org/10.1007/s12559-021-09945-3.
  13. Yujian Liu, Jie Du, Chi-Man Vong, Guanghui Yue, Juan Yu, Yuli Wang, Baiying Lei, Tianfu Wang,Scale-adaptive super-feature based MetricUNet for brain tumor segmentation,Biomedical Signal Processing and Control,Volume 73,2022,103442,ISSN 1746-8094.
  14. Xie, C. -M. Vong, C. L. P. Chen and S. Wang, “Dynamic Network Structure: Doubly Stacking Broad Learning Systems With Residuals and Simpler Linear Model Transmission,” in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 6, pp. 1378-1395, Dec. 2022, doi: 10.1109/TETCI.2022.3146983.
  15. Jun-Liu Zhong, Yan-Fen Gan, Chi-Man Vong, Ji-Xiang Yang, Jing-Hong Zhao, Jia-Hua Luo,Effective and efficient pixel-level detection for diverse video copy-move forgery types,Pattern Recognition,Volume 122,2022,108286,ISSN 0031-3203.
  16. Yanfen Gan, Junliu Zhong, Chiman Vong,A Novel Copy-Move Forgery Detection Algorithm via Feature Label Matching and Hierarchical Segmentation Filtering,Information Processing & Management,Volume 59, Issue 1,2022,102783,ISSN 0306-4573.
  17. Dingqi Yang, Bingqing Qu, Jie Yang, Liang Wang, Philippe Cudre-Mauroux, Streaming Graph Embeddings via Incremental Neighborhood Sketching, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
  18. Liang Wang, Dingqi Yang, Zhiwen Yu, Fei Xiong, Lei Han, Shirui Pan and Bin Guo. Task Scheduling in Three-Dimensional Spatial Crowdsourcing: A Social Welfare Perspective, IEEE Transactions on Mobile Computing (TMC), 2022.
  19. Alisa Smirnova, Jie Yang, Dingqi Yang and Philippe Cudre-Mauroux, Nessy: a Neuro-Symbolic System for Label Noise Reduction, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
  20. Shiyu Zhang, Bangchao Deng, Dingqi Yang, CrowdTelescope: Wi-Fi-Positioning-Based Multi-Grained Spatiotemporal Crowd Flow Prediction for Smart Campus, CCF Transactions on Pervasive Computing and Interaction (TPCI), 2022.
  21. Liang Wang, Zhiwen Yu, Kaishun Wu, Dingqi Yang, En Wang, Tian Wang, and Bin Guo, Towards Robust Task Assignment in Mobile Crowdsensing Systems, IEEE Transactions on Mobile Computing (TMC), 2022.
  22. Liang Wang, Zhiwen Yu, Bin Guo, Dingqi Yang, Lianbo Ma, Zhidan Liu, and Fei Xiong. Data-driven Targeted Advertising Recommendation System for Outdoor Billboard. ACM Transactions on Intelligent Systems and Technology (TIST) 13, no. 2 (2022): 1-23.
  23. Jianhang Zhou, Bob Zhang*, Shaoning Zeng, Consensus Sparsity: Multi-context Sparse Image Representation via L∞-induced Matrix Variate, IEEE Transactions on Image Processing, pp. 603 – 616, 2022.
  24. Shuping Zhao, Lunke Fei, Jie Wen, Bob Zhang*, Pengyang Zhao, Shuyi Li, Structure Suture Learning-Based Robust Multiview Palmprint Recognition, IEEE Transactions on Neural Networks and Learning Systems, pp. 1 – 13, 2022.
  25. Qi Zhang, Jianhang Zhou, Bob Zhang*, Multi-feature representation for fatty liver disease detection with breath sample analysis, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), December 6 – 8, 2022.
  26. Guancheng Wang, Qinrou Li, Shaoqing Liu, Hua Xiao, Bob Zhang*, New zeroing neural network with finite-time convergence for dynamic complex-value linear equation and its applications, Chaos, Solitons & Fractals, Volume 164, November 2022, 112674.
  27. Qi Zhang, Jie Wen, Jianhang Zhou, Bob Zhang*, Missing-view completion for fatty liver disease detection, Computers in Biology and Medicine, Volume 150, November 2022, 106097.
  28. Guancheng Wang, Zhihao Hao, Haoen Huang, Bob Zhang*, A proportional-integral iterative algorithm for time-variant equality-constrained quadratic programming problem with applications, Artificial Intelligence Review, 2022.
  29. Jianhang Zhou, Qi Zhang, Shaoning Zeng, Bob Zhang*, Fuzzy Graph Subspace Convolutional Network, IEEE Transactions on Neural Networks and Learning Systems, pp. 1 – 15, 2022.
  30. Jielu Yan, Jianxiu Cai, Bob Zhang*, Yapeng Wang, Derek F Wong, Shirley WI Siu, Recent Progress in the Discovery and Design of Antimicrobial Peptides Using Traditional Machine Learning and Deep Learning, Antibiotics, vol. 11, pp. 1451, 2022.
  31. Shuping Zhao, Jigang Wu, Bob Zhang*, Lunke Fei, Shuyi Li, Pengyang Zhao, Adaptive Graph Embedded Preserving Projection Learning for Feature Extraction and Selection, IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1060 – 1073, 2022.
  32. Yuwu Lu, Qi Zhu, Bob Zhang*, Zhihui Lai, Xuelong Li, Weighted Correlation Embedding Learning for Domain Adaptation, IEEE Transactions on Image Processing, pp. 5303 – 5316, 2022.
  33. Shuping Zhao, Jigang Wu, Lunke Fei, Bob Zhang*, Pengyang Zhao, Double-cohesion learning based multiview and discriminant palmprint recognition, Information Fusion, Volumes 83–84, July 2022, Pages 96 – 109.
  34. Jielu Yan, Bob Zhang*, Mingliang Zhou, Hang Fai Kwok, Shirley WI Siu, Multi-Branch-CNN: Classification of ion channel interacting peptides using multi-branch convolutional neural network, Computers in Biology and Medicine, Volume 147, August 2022, 105717.
  35. Ruijun Ma, Shuyi Li, Bob Zhang*, Leyuan Fang, Zhengming Li, Flexible and Generalized Real Photograph Denoising Exploiting Dual Meta Attention, IEEE Transactions on Cybernetics, pp. 1 – 13, 2022.
  36. Shuyi Li, Ruijun Ma, Lunke Fei, Bob Zhang*, Learning Compact Multi-representation Feature Descriptor for Finger-Vein Recognition, IEEE Transactions on Information Forensics and Security, pp. 1946 – 1958, 2022.
  37. Guancheng Wang, Zhihao Hao, Bob Zhang*, Leyuan Fang, Dianhui Mao, A robust newton iterative algorithm for acoustic location based on solving linear matrix equations in the presence of various noises, Applied Intelligence, pp. 1 – 14, 2022.
  38. Guancheng Wang, Zhihao Hao, Bob Zhang*, Long Jin, Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations, Information Sciences, Volume 588, April 2022, Pages 106-123.
  39. Jianxiu Cai, Manting Liu, Qi Zhang, Ziqi Shao, Jingwen Zhou, Yongjian Guo, Juan Liu, Xiaobin Wang, Bob Zhang*, Xi Li, Renal Cancer Detection: Fusing Deep and Texture Features from Histopathology Images, BioMed Research International, vol. 2022, 2022.
  40. Shuping Zhao, Jigang Wu, Bob Zhang*, Lunke Fei, Low-rank inter-class sparsity based semi-flexible target least squares regression for feature representation, Pattern Recognition, Volume 123, March 2022, 108346.
  41. Ruijun Ma, Shuyi Li, Bob Zhang*, Haifeng Hu, Meta PID Attention Network for Flexible and Efficient Real-World Noisy Image Denoising, IEEE Transactions on Image Processing, pp. 2053 – 2066, 2022.
  42. Ruijun Ma, Shuyi Li, Bob Zhang*, Zhengming Li, Generative Adaptive Convolutions for Real-world Noisy Image Denoising, The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), 2022.
  43. Zhihua Zhao, Zhihao Hao, Guancheng Wang, Dianhui Mao, Bob Zhang*, Min Zuo, Jerome Yen, Guangjian Tu, Sentiment Analysis of Review Data Using Blockchain and LSTM to Improve Regulation for a Sustainable Market, Journal of Theoretical and Applied Electronic Commerce Research, pp. 1 – 19, 2022.
  44. Jianhang Zhou, Shaoning Zeng, Bob Zhang*, Kernel nonnegative representation-based classifier, Applied Intelligence, pp. 2269 – 2289, 2022.
  45. Y Wang, Z Lu, R Wattenhofer. (2022) Gay Dating on Non-dating Platforms: The Case of Online Dating Activities of Gay Men on a Q&A Platform

  1. Liang, J.; Wu, Y.; Yim, J.; Chen, H.; Miao, Z.; Liu, H.; Liu, Y.; Liu, Y.; Wang, D.; Qiu, W.; Shao, Z.; Zhang, M.*; Wang, X.; Zhong, J.*; Lin, L.*; Ultrahigh Agility with Trajectory Control of Insect-Scale Soft Robots, Science Robotics 2021, 6, eabe7906.
  2. Yu, L.; He, P.; Shao, Z.; Li, Z.; Kim, H.; Yao, A.; Peng, Y.; Xu, R.; Ahn, C.; Lee, S.; Zhong, J.*; Lin, L.*; Moisture-induced Autonomous Surface Potential Oscillations for Energy Harvesting, Nature Communications 2021, 12, 5287.
  3. Qiu, W.; Zhong, J.*; Jiang, T.; Li, Z.; Yao, M.; Shao, Z.; Cheng, Q.; Liang, J.; Wang, D.; Peng, Y.; He, P.; Zhang, M.*; Wang, X.; Lin, L.*; A Low Voltage-Powered Soft Electromechanical Stimulation Patch for Haptics Feedback in Human-Machine Interfaces. Biosensors and Bioelectronics 2021, 193, 113616.
  4. Yan, M.; Zhong, J.*; Liu, S.; Xiao, Z.; Yuan, X.; Zhai, D.; Zhou, K.; Li, Z.; Zhang, D.*; Bowen, C.; Zhang, Y.*; Flexible Pillar-Base Structured Piezocomposite with Aligned Porosity for Piezoelectric Energy Harvesting, Nano Energy 2021, 88, 106278.
  5. Wang, C.; Cui, Y.*; Song, X.;* Zhong, J.;* Wei, M.; Wu, M., Model, Design, and Testing of Electret-Based Portable Transmitter for Low-Frequency Applications, IEEE Transactions on Antennas and Propagation 2021, 2021, 69, 5305.
  6. Li, Z.; Cui, Y.; Zhong, J.* Recent Advances in Nanogenerators-Based Flexible Electronics for Electromechanical Biomonitoring, Biosensors and Bioelectronics 2021, 186, 113290
  7. Li, Z.; Long, Y.; Zhong, J.*, Stability and Decay of Surface Electrostatic Charges in Liquids, Nano Energy 2021, 81, 105618.
  8. ZHANG Chuanhai, LIU Zhi and LIU Qiang (2021). Jumps at ultra-high frequency: Evidence from the Chinese stock market, Pacific-Basin Finance Journal. 68, 101420.
  9. Chen, Guang-Yong, Long Chen, Chen Cheng, and Xian Zhang. A novel expectation–maximization-based separable algorithm for parameter identification of RBF-AR model. Nonlinear Dynamics 104, no. 4 (2021): 4023-4034.
  10. Zhao, Kai, Yongduan Song, Wenchao Meng, CL Philip Chen, and Long Chen. Low-cost approximation-based adaptive tracking control of output-constrained nonlinear systems. IEEE Transactions on Neural Networks and Learning Systems 32, no. 11 (2021): 4890-4900.
  1. Zhao, Yin-Ping, Long Chen, and CL Philip Chen. Laplacian regularized nonnegative representation for clustering and dimensionality reduction. IEEE Transactions on Circuits and Systems for Video Technology 31, no. 1 (2021): 1-14.
  2. Wang, Yingxu, Tianjun Li, Long Chen, Guangmei Xu, Jin Zhou, and CL Philip Chen. Random Fourier feature-based fuzzy clustering with p-Laplacian regularization. Applied Soft Computing 111 (2021): 107724.
  3. Xiaolin Xiao, Yongyong Chen, Yuejiao Gong, and Yicong Zhou, Low-Rank Preserving t-Linear Projection for Robust Image Feature Extraction, IEEE Transactions on Image Processing, 30, 108–120, 2021.
  4. Jiangtao Peng, Yicong Zhou, Weiwei Sun, Qian Du, and Lekang Xia, Self-paced Nonnegative Matrix Factorization for Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, 59(2), 1501–1515, 2021.
  5. Sichao Fu, Weifeng Liu, Weili Guan, Yicong Zhou, Dapeng Tao, and Changsheng Xu, Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification, ACM Transactions on Multimedia Computing, Communications, and Applications, 17(1s), Article 4, 1–13, 2021.
  6. Xiaolin Xiao, Yongyong Chen, Yuejiao Gong, and Yicong Zhou*, Prior Knowledge Regularized Multiview Self-Representation and its Applications, IEEE Transactions on Neural Networks and Learning Systems, 32(3), 1325–1338, 2021.
  7. Shiyu Zhao, Lin Zhang, Ying Shen, and Yicong Zhou, RefineDNet: A Weakly Supervised Refinement Framework for Single Image Dehazing, IEEE Transactions on Image Processing, 30, 3391–3404, 2021
  8. Yongyong Chen, Shuqin Wang, Chong Peng, Zhongyun Hua, and Yicong Zhou, Generalized Nonconvex Low-rank Tensor Approximation for Multi-view Subspace Clustering, IEEE Transactions on Image Processing, 30, 4022–4035, 2021.
  1. Shisong Lin, Mengchao Bai, Feng Liu, Linlin Shen, and Yicong Zhou, Orthogonalization-Guided Feature Fusion Network for Multimodal 2D+3D Facial Expression Recognition, IEEE Transactions on Multimedia, 23, 1581–1591, 2021.
  2. Zhongyun Hua, and Yicong Zhou*, Exponential Chaotic Model for Generating Robust Chaos, IEEE Transactions on Systems, Man and Cybernetics: Systems, 51(6), 3713–3724, 2021.
  3. Junxin Chen, Lei Chen, and Yicong Zhou*, Cryptanalysis of Image Ciphers with Permutation-Substitution Network and Chaos, IEEE Transactions on Circuits and Systems for Video Technology, 31(6), 2494–2508, 2021.
  4. Xiaogang Zhang, Yanying Lei, Hua Chen, Lei Zhang, and Yicong Zhou, Multivariate Time Series Modeling for Forecasting Sintering Temperature in Rotary Kilns Using DCGNet, IEEE Transactions on Industrial Informatics, 17(7), 4635–4645, 2021.
  5. Junxin Chen, Lei Chen, and Yicong Zhou*, Universal Chosen-Ciphertext Attack for a Family of Image Encryption Schemes, IEEE Transactions on Multimedia, 23, 2372–2385, 2021.
  6. Dingxiang Wang, Xiaogang Zhang, Hua Chen, Yicong Zhou, and Fanyong Cheng, A Sintering State Recognition Framework to Integrate Prior Knowledge and Hidden Information considering Class Imbalance, IEEE Transactions on Industrial Electronics, 68(8), 7400–7411, 2021.
  7. Lin Zhang, Anqi Zhu, Shiyu Zhao, and Yicong Zhou, Simulation of Atmospheric Visibility Impairment, IEEE Transactions on Image Processing, 30, 8713–8726, 2021.
  8. Anqi Zhu, Lin Zhang, Juntao Chen, and Yicong Zhou, Pedestrian-Aware Panoramic Video Stitching Based on a Structured Camera Array, ACM Transactions on Multimedia Computing, Communications, and Applications, 17(4), Article 136, 1–24, 2021.
  9. Junxin Chen, Leo Yu Zhang, and Yicong Zhou*, Re-evaluation of the Security of a Family of Image Diffusion Mechanisms, IEEE Transactions on Circuits and Systems for Video Technology, 31(12), 4747–4758, 2021.
  10. Ye, Z., Qian, T., Zhang, L., Dai, L., Li, H., & Benediktsson, J. A. (2021). Functional Feature Extraction for Hyperspectral Image Classification With Adaptive Rational Function Approximation. IEEE Transactions on Geoscience and Remote Sensing, 59(9), 7680-7694.
  11. Wu, Y., Zhang, L., Qian, T., Liu, X., & Xie, Q. (2021). Content-adaptive image encryption with partial unwinding decomposition. Signal Processing, 181, 107911.
  12. Pan, B., Zhang, L., Yin, H., Lan, J., & Cao, F. (2021). An automatic 2D to 3D video conversion approach based on RGB-D images. Multimedia Tools and Applications, 80(13), 19179-19201.
  13. Tan, C., Zhang, L., Qian, T., Brás, S., & Pinho, A. J. (2021). Statistical n-Best AFD-Based Sparse Representation for ECG Biometric Identification. IEEE Transactions on Instrumentation and Measurement, 70, 1-13.
  14. Cheng, C., Li, H., & Zhang, L. (2021). Two-Branch Deconvolutional Network With Application in Stereo Matching. IEEE Transactions on Image Processing, 31, 327-340.
  15. Cheng, C., Li, H., Peng, J., Cui, W., & Zhang, L. (2021). Hyperspectral image classification via spectral-spatial random patches network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 4753-4764.
  16. Li, J., Fang, Y., & Zhang, L. (2021). A TM-Based Adaptive Learning Data-Model for Trajectory Tracking and Real-Time Control of a Class of Nonlinear Systems. IEEE Transactions on Circuits and Systems I: Regular Papers, 69(2), 859-871.
  17. Liu, X., Wu, Y., Zhang, H., Wu, J., & Zhang, L. (2021). Quaternion discrete fractional Krawtchouk transform and its application in color image encryption and watermarking. Signal Processing, 189, 108275.
  18. Qian, T., Wang, X., & Zhang, L. (2021). MIMO frequency domain system identification using matrix-valued orthonormal functions. Automatica, 133, 109882.
  19. Tan, C., Zhang, L., Wu, H. T., & Qian, T. (2021). A novel feature representation approach for single-lead heartbeat classification based on adaptive Fourier decomposition. International Journal of Wavelets, Multiresolution and Information Processing, 19(05), 2150010.
  20. Liang, Y., Liu, Y., Yan, Y., Zhang, L., & Wang, H. (2021). Robust visual tracking via spatio-temporal adaptive and channel selective correlation filters. Pattern Recognition, 112, 107738.
  21. Cheng, C., Li, H., & Zhang, L. (2021). An unsupervised stereo matching cost based on sparse representation. International Journal of Wavelets, Multiresolution and Information Processing, 19(01), 2050060.
  22. Xie Wei, Gan Yu, David Cabecinhas, Rita Cunha, Carlos Silvestre, Global Saturated Tracking Control of a Quadcopter With Experimental Validation, IEEE Control Systems Letters, Volume 5, Issue 1, Pages 169-174, January 2021.
  23. Guilherme Ramos, Daniel Silvestre, Carlos Silvestre, Node and network resistance to bribery in multi-agent systems, Systems & Control Letters, Volume 147, Issue 1, January 2021.
  24. Daniel Viegas, Pedro Batista, Paulo Oliveira, Carlos Silvestre, Distributed controller design and performance optimization for discrete-time linear systems, Optimal Control Applications and Methods, Volume 42, Issue 1, Pages 126–143, January 2021.
  25. Daniel Silvestre, Paulo Rosa, Carlos Silvestre, Distinguishability of Discrete-Time Linear Systems, International Journal of Robust and Nonlinear Control, Volume 31, Issue 5, pages 1452–1478, March 2021.
  26. Joel Reis, Pedro Batista, Paulo Oliveira, Carlos Silvestre, Attitude, body-fixed Earth rotation rate, and sensor bias estimation using single observations of direction of gravitational field, Elsevier Automatica, Volume 125, Issue 3, Pages 1 – 9, March, 2021.
  27. Rongchen Zhao, Wei Xie, Jin Zhao, Pak Kin Wong, Carlos Silvestre, Nonlinear Ride Height Control of Active Air Suspension System with Output Constraints and Time-Varying Disturbances, Sensors, Volume 21, Issue 4, Pages 1-16, March, 2021.
  28. Ziqhi Tang, Rita Cunha, Tarek Hamel, Carlos Silvestre, Formation control of a leader-follower structure in three dimensional space using bearing measurements, Elsevier Automatica, Volume 128, Issue 6, Pages 1 – 9, June, 2021.
  29. Rongchen Zhao, Wei Xie, Jin Zhao, Pak Kin Wong, Carlos Silvestre, Nonlinear Ride Height Control of Active Air Suspension System with Output Constraints and Time-Varying Disturbances, Sensors, Volume 21, Issue 4, Pages 1-16, March, 2021.
  30. Ziqhi Tang, Rita Cunha, Tarek Hamel, Carlos Silvestre, Formation control of a leader-follower structure in three dimensional space using bearing measurements, Elsevier Automatica, Volume 128, Issue 6, Pages 1 – 9, June, 2021.
  31. Daniel Silvestre, Joao P. Hespanha, Carlos Silvestre, Resilient Desynchronization for Decentralized Medium Access Control, IEEE Control Systems Letters, Volume 5, Issue 3, Pages 803-808, July 2021.
  32. Guilherme Ramos, Daniel Silvestre, Carlos Silvestre, The robust minimal controllability and observability problem, International Journal of Robust and Nonlinear Control, Volume 31, Issue 10, pages 5033-5044, July 2021.
  33. Ziqhi Tang, Rita Cunha, David Cabecinhas, Tarek Hamel, Carlos Silvestre, Quadrotor going through a window and landing: An image-based visual servo control approach, Elsevier Control Engineering Practice, Volume 112, Issue 7, Pages 1 – 14, July 2021.
  34. Xuan-Zhi Zhu, Pedro Casau, Carlos Silvestre,  Event-triggered global trajectory tracking control of a quadrotor: Synthesis, simulations, and experiments, International Journal of Robust and Nonlinear Control, Volume 31, Issue 13, pages 6144-6165, September 2021.
  35. Bai, Xuefeng, Yafu Li, Zhirui Zhang, Mingzhou Xu, Boxing Chen, Weihua Luo, Derek F. Wong, and Yue Zhang. (2021). Sentence-State LSTMs For Sequence-to-Sequence Learning. In CCF International Conference on Natural Language Processing and Chinese Computing, pp. 104-115. Springer, Cham, 2021.
  36. Yu Wan, Dayiheng Liu, Baosong Yang, Tianchi Bi, Haibo Zhang, Boxing Chen, Weihua Luo, Derek F. Wong, and Lidia S. Chao. (2021). RoBLEURT Submission for WMT2021 Metrics Task. In Proceedings of the Sixth Conference on Machine Translation, pp. 1053-1058. 2021.
  37. Mingzhou Xu, Liangyou Li, Derek F. Wong, Qun Liu, Lidia S. Chao. (2021). Document Graph for Neural Machine Translation. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), 8435-8448.
  38. Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, and Zhaopeng Tu. (2021). On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. In Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 2900-2907. 2021.
  39. Dong Wang, Yang Zhang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu and Derek F. Wong. (2021). User Retention: A Causal Approach with Triple Task Modeling. In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).
  1. Zang, Runzhe, Xuebo Liu, Derek F. Wong, Lidia S. Chao. (2021). Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), AAAI Press.
  2. Runzhe Zhan, Xuebo Liu, Derek F. Wong and Lidia S. Chao. (2021). Variance-Aware Machine Translation Test Sets. In Proceedings of the Twenty-ninth Conference on Neural Information Processing Systems, Datasets and Benchmarks Track (NeurIPS 2021).
  3. Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu. (2021). Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. In Proceedings of the 8th International Conference on Learning Representations (ICLR 2021).
  4. Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu. (2021). Understanding and Improving Lexical Choice in Non-Autoregressive Translation. In Proceedings of the 8th International Conference on Learning Representations (ICLR 2021).
  5. Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi and Zhaopeng Tu. (2021). Reducing Copying Errors in Pre-Training for Neural Machine Translation. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).
  6. Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao and Zhaopeng Tu. (2021). Progressive Multi-Granularity Training for Non-Autoregressive Translation. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).
  7. Runzhe Zhan, Xuebo Liu, Derek F. Wong and Lidia S. Chao. (2021). Difficulty-Aware Machine Translation Evaluation. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).
  8. Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao and Zhaopeng Tu. (2021). Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).
  9. Yang, Baosong, Longyue Wang, Derek F. Wong, Shuming Shi, and Zhaopeng Tu. (2021). Context-Aware Self-Attention Networks for Natural Language Processing. Neurocomputing 458 (2021) 157-169.
  10. Chongman Leong, Xuebo Liu, Derek F. Wong, Lidia S. Chao. (2021). Exploiting Translation Model for Parallel Corpus Mining. IEEE/ACM Trans. Audio, Speech & Language Processing, 29 (2021): 2829-2839.
  11. Huo, Yujia, Derek F. Wong, Lionel M. Ni, Lidia S. Chao, Jing Zhang, and Xin Zuo. (2021). Learning cognitive embedding using signed knowledge interaction graph. Knowledge-Based Systems (2021): 107327.
  12. C Wong, Z Wang, A Rosa, C Chen, T Jung, Y Hu, F Wan, Transferring subject-specific knowledge across stimulus frequencies in SSVEP-Based BCIs, IEEE Transactions on Automation Science and Engineering, 18(2), 552-563, 2021.
  13. D Wu, F Zhou, B Wang, C Wong, C Shui, Y Zhou, Q Lao, and F Wan, “On the benefits of two dimensional metric learning”, IEEE Transactions on Knowledge and Data Engineering, Early Access, 2021.
  14. Hui Huang, Hai-Jun Rong, Zhao-Xu Yang, Chi-Man Vong,Jointly evolving and compressing fuzzy system for feature reduction and classification,Information Sciences,Volume 579,2021,Pages 218-230,ISSN 0020-0255.
  15. Jiahua Luo, Yanfen Gan, Chi-Man Vong, Chi-Man Wong, Chuangquan Chen, Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors, Neurocomputing, Volume 457,2021,Pages 106-116,ISSN 0925-2312.
  16. Du, Y. Zhou, P. Liu, C. -M. Vong and T. Wang, Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021.3110885.
  17. Hongyan Li, Chi Man Vong, Pak Kin Wong, Weng Fai Ip, Tao Yan, I. Cheong Choi, Hon Ho Yu,A multi-feature fusion method for image recognition of gastrointestinal metaplasia (GIM),Biomedical Signal Processing and Control,Volume 69,2021,102909,ISSN 1746-8094.
  18. Wanshui Gan, Pak Kin Wong, Guokuan Yu, Rongchen Zhao, Chi Man Vong, Light-weight network for real-time adaptive stereo depth estimation, Neurocomputing, Volume 441,2021,Pages 118-127,ISSN 0925-2312.
  1. Luo, C. -M. Vong, Z. Liu and C. Chen, “An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems,” in IEEE Access, vol. 9, pp. 87543-87551, 2021, doi: 10.1109/ACCESS.2021.3089539.
  2. -M. Wong et al., “Improving Conversational Recommender System by Pretraining Billion-scale Knowledge Graph,” 2021 IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, 2021, pp. 2607-2612, doi: 10.1109/ICDE51399.2021.00291.
  3. Gu, C. M. Vong, P. K. Wong and S. Wang, “Fast Training of Adversarial Deep Fuzzy Classifier by Downsizing Fuzzy Rules With Gradient Guided Learning,” in IEEE Transactions on Fuzzy Systems, vol. 30, no. 6, pp. 1967-1980, June 2022, doi: 10.1109/TFUZZ.2021.3072498.
  4. Wei Huang and Pak Kin Wong and Ka In Wong and Chi Man Vong and Jing Zhao,Adaptive neural control of vehicle yaw stability with active front steering using an improved random projection neural network,Vehicle System Dynamics,2021,volume 59,pages 396-414.
  5. Jiahua Luo, Chi-Man Wong, Chi-Man Vong,Multinomial Bayesian extreme learning machine for sparse and accurate classification model,Neurocomputing,Volume 423,2021,Pages 24-33,ISSN 0925-2312,
  6. Wong, Chi-Chong and Vong, Chi-Man,Persistent Homology Based Graph Convolution Network for Fine-Grained 3D Shape Segmentation,Persistent Homology Based Graph Convolution Network for Fine-Grained 3D Shape Segmentation,2021,pages 7098-7107.
  1. Paolo Rosso, Dingqi Yang*, Philippe Cudre-Mauroux, RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs, In Proc. of The Web  Conference (WWW’21). April 2021, Ljubljana.
  2. Liang Wang, Dingqi Yang, Zhiwen Yu, Qi Han, En Wang, Kuang Zhou, Bin Guo. Acceptance-Aware Mobile Crowdsourcing Worker Recruitment in Social Networks, IEEE Transactions on Mobile Computing (TMC), 2021.
  3. Liang Wang, Zhiwen Yu, Dingqi Yang, Tian Wang, En Wang, Bin Guo, Daqing Zhang. Task Execution Quality Maximization for Mobile Crowdsourcing in Geo-Social Networks, The 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW’21), Oct. 2021.
  4. Zhenyu Zhang, Lei Zhang, Dingqi Yang, Liu Yang, KRAN: Knowledge Refining Attention Network for Recommendation, ACM Transactions on Knowledge Discovery from Data (TKDD). 2021
  5. Longbiao Chen, Zhihan Jiang, Dingqi Yang, Cheng Wang, Thi-Mai-Trang Nguyen. Fog radio access network optimization for 5G leveraging user mobility and traffic data. Journal of Network and Computer Applications (JNCA). 2021
  6. Jianhang Zhou, Bob Zhang*, Shaoning Zeng, Qi Lai, Joint Discriminative Latent Subspace Learning for Image Classification, IEEE Transactions on Circuits and Systems for Video Technology, pp. 4653 – 4666, 2021.
  7. Shuyi Li, Bob Zhang*, Lunke Fei, Shuping Zhao, Yicong Zhou, Learning Sparse and Discriminative Multimodal Feature Codes for Finger Recognition, IEEE Transactions on Multimedia, pp. 1 – 12, 2021.
  8. Wei Jia, Wei Xia, Bob Zhang*, Yang Zhao, Lunke Fei, Wenxiong Kang, Di Huang, Guodong Guo, A survey on dorsal hand vein biometrics, Pattern Recognition, Volume 120, December 2021, 108122.
  9. Jie Wen, Zhihao Wu, Zheng Zhang, Lunke Fei, Bob Zhang*, Yong Xu, Structural Deep Incomplete Multi-view Clustering Network, Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp. 3538 – 3542, 2021.
  10. Jianhang Zhou, Qi Zhang, Bob Zhang*, Two-phase non-invasive multi-disease detection via sublingual region, Computers in Biology and Medicine, Volume 137, October 2021, 104782.
  11. Bob Zhang*, Jianhang Zhou, Multi-feature representation for burn depth classification via burn images, Artificial Intelligence in Medicine, Volume 118, August 2021, 102128.
  12. Jianhang Zhou, Shaoning Zeng, Bob Zhang*, Sparsity-Induced Graph Convolutional Network for Semisupervised Learning, IEEE Transactions on Artificial Intelligence, pp. 549 – 563, 2021.
  13. Shaoning Zeng, Bob Zhang*, Noise homogenization via multi-channel wavelet filtering for high-fidelity sample generation in gans, 2021 IEEE International Conference on Multimedia and Expo (ICME), pp. 1 – 6, 2021.
  14. Lunke Fei, Bob Zhang*, Jie Wen, Shaohua Teng, Shuyi Li, David Zhang, Jointly learning compact multi-view hash codes for few-shot FKP recognition, Pattern Recognition, Volume 115, July 2021, 107894.
  15. Lunke Fei, Bob Zhang*, Chunwei Tian, Shaohua Teng, Jie Wen, Jointly learning multi-instance hand-based biometric descriptor, Information Sciences, Volume 562, July 2021, Pages 1-12.
  16. Shuyi Li, Bob Zhang*, An Adaptive Discriminant and Sparsity Feature Descriptor for Finger Vein Recognition, ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2140 – 2144, 2021.
  17. Zhihao Hao, Guancheng Wang, Dianhui Mao, Bob Zhang*, Haisheng Li, Min Zuo, Zhihua Zhao, Jerome Yen, A Novel Method for Food Market Regulation by Emotional Tendencies Predictions from Food Reviews Based on Blockchain and SAEs, Foods, vol. 10, 2021.
  18. Qi Zhang, Jianhang Zhou, Bob Zhang*, Computational traditional Chinese medicine diagnosis: a literature survey, Computers in Biology and Medicine, Volume 133, June 2021, 104358.
  19. Jianhang Zhou, Shaoning Zeng, Bob Zhang*, Subspace-level dictionary fusion for robust multimedia classification, Multimedia Tools and Applications, pp. 21885 – 21898, 2021.
  20. Ruijun Ma, Shuyi Li, Bob Zhang*, Zhengming Li, Towards fast and robust real image denoising with attentive neural network and PID controller, IEEE Transactions on Multimedia, pp. 2366 – 2377, 2021.
  21. Shaoning Zeng, Bob Zhang*, Jianping Gou, Yong Xu, Wei Huang, Fast and Robust Dictionary-based Classification for Image Data, ACM Transactions on Knowledge Discovery from Data (TKDD), pp. 1 – 22, 2021.
  22. Shuyi Li, Bob Zhang*, Joint Discriminative Sparse Coding for Robust Hand-Based Multimodal Recognition, IEEE Transactions on Information Forensics and Security, pp. 3186 – 3198, 2021.
  23. Lunke Fei, Bob Zhang*, Yong Xu, Chunwei Tian, Imad Rida, David Zhang, Jointly Heterogeneous Palmprint Discriminant Feature Learning, IEEE Transactions on Neural Networks and Learning Systems, pp. 4979 – 4990, 2021.
  24. Shuyi Li, Bob Zhang*, Lunke Fei, Shuping Zhao, Joint discriminative feature learning for multimodal finger recognition, Pattern Recognition, Volume 111, March 2021, 107704.
  25. Shuyi Li, Bob Zhang*, Shuping Zhao, Jinfeng Yang, Local discriminant coding based convolutional feature representation for multimodal finger recognition, Information Sciences, Volume 547, 8 February 2021, Pages 1170-1181.
  26. Qi Zhang, Jianhang Zhou, Bob Zhang*, Enhua Wu, DsNet: Dual stack network for detecting diabetes mellitus and chronic kidney disease, Information Sciences, Volume 547, 8 February 2021, Pages 945-962.
  27. Jianhang Zhou, Qi Zhang, Bob Zhang*, An automatic multi-view disease detection system via Collective Deep Region-based Feature Representation, Future Generation Computer Systems, Volume 115, February 2021, Pages 59-75.
  28. Ruijun Ma, Bob Zhang*, Yicong Zhou, Zhengming Li, Fangyuan Lei, PID Controller-Guided Attention Neural Network Learning for Fast and Effective Real Photographs Denoising, IEEE Transactions on Neural Networks and Learning Systems, pp. 3010 – 3023, 2021.
  29. Jie Wen, Huijie Sun, Lunke Fei, Jinxing Li, Zheng Zhang, Bob Zhang*, Consensus guided incomplete multi-view spectral clustering, Neural Networks, Volume 133, January 2021, Pages 207-219.

  1. Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Pay Attention to Features, Transfer Learn Faster CNNs, International Conference on Learning Representations (ICLR), 2020.
  2. Zhihao Gavin Tang, Xiaowei Wu and Yuhao Zhang, Towards a Better Understanding of Randomized Greedy Matching, STOC 2020.
  3. S Zhao, and B Zhang, “Learning Salient and Discriminative Descriptor for Palmprint Feature Extraction and Identification,” IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2020.2964799, 2020.
  4. Zeng, B. Zhang, Y. Zhang, and J Gou, “Dual sparse learning via data augmentation for robust facial image classification,” Int. J. Mach. Learn. & Cyber., https://doi.org/10.1007/s13042-020-01067-w, 2020.
  5. Zhao, and B. Zhang, “Deep Discriminative Representation for Generic Palmprint Recognition,” Pattern Recognition, vol. 98, pp. 107071, 2020.
  6. Ground Plane Context Aggregation Network for Day-and-Night on Vehicular Pedestrain Detection, Z.W. Xu, C.M. Vong, C.C. Wong, and Q. Liu, IEEE Trans. On Intelligent Transportation Systems, 2020.
  7. Novel Efficient RNN and LSTM-like Architecture: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification, J. Du, C.M. Vong, C.L. P. Chen, IEEE Trans. On Cybernetics, 2020.
  8. Robust Online Multilabel Learning under Dynamic Changes in Data Distribution with Labels, J. Du, C.M. Vong. IEEE Trans. On Cybernetics, 2020.
  9. Yongyong Chen, Xiaolin Xiao, and Yicong Zhou, “Low-Rank Quaternion Approximation for Color Image Processing”, IEEE Transactions on Image Processing, 29(1), 1426–1439, 2020.
  10. Xiaoyao Li, Yicong Zhou, Jing Zhang, and Lianhong Wang, “Multipatch Unbiased Distance Non-local Adaptive Means with Wavelet Shrinkage”, IEEE Transactions on Image Processing, 29(1), 157–169, 2020.
  11. Rushi Lan, Yicong Zhou, Zhenbing Liu, and Xiaonan Luo, “Prior Knowledge Based Probabilistic Collaborative Representation for Visual Recognition,” IEEE Transactions on Cybernetics, 50(4), 1498–1508, 2020
  12. Xiaolin Xiao, Yongyong Chen, Yuejiao Gong, and Yicong Zhou, “2D Quaternion Sparse Discriminant Analysis”, IEEE Transactions on Image Processing, 29(1), 2271–2286, 2020.
  13. Minming Li, Long Tran-Thanh and Xiaowei Wu, Defending with Shared Resources on a Network, AAAI 2020.
  14. Liu, L. Zhang, Y. Yan, H. Wang, Multi-Stream Siamese and Faster Region-based Convolutional Neural Network for Real-Time Object Tracking. IEEE Transactions on Intelligent Transportation Systems 2020.
  15. Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Haihua Du, Ben C. H. Ao, Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), AAAI.
  16. Yujia Huo, Derek F. Wong, Lionel M. Ni, Lidia S. Chao, and Jing Zhang, Knowledge modeling via contextualized representations for LSTM-based personalized exercise recommendation. Information Sciences 523: 266-278, 2020.
  17. X. Cun and C.-M. Pun, “Improving the Harmony of the Composite Image by Spatial-Separated Attention Module,” IEEE Transactions on Image Processing (TIP), In Press, 2020.
  18. J.-C. Xie and C.-M. Pun, “Deep and Ordinal Ensemble Learning for Human Age Estimation From Facial Images,” IEEE Transactions on Information Forensics and Security (TIFS), 15(1), pp. 2361 – 2374, 2020.
  19. J.-L. Zhong and C.-M. Pun, “An End-to-End Dense-InceptionNet for Image Copy-Move Forgery Detection,” IEEE Transactions on Information Forensics and Security (TIFS), 15(1), pp. 2134 – 2146, 2020.
  20. C. Shi and C.-M. Pun, “Multiscale Superpixel-based Hyperspectral Image Classification Using Recurrent Neural Networks with Stacked Autoencoders,” IEEE Transactions on Multimedia (TMM), 22(2), pp. 487 – 501, 2020.
  21. J.-L. Zhong and C.-M. Pun, “Two-pass hashing feature representation and searching method for copy-move forgery detection,” Information Sciences, 512(2), pp. 675-692, 2020.
  22. Cun, C.-M. Pun and C. Shi, “Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN,” Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
  23. Zhong and C.-M. Pun, “A Unified Framework for Multi-view Spectral Clustering,” Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE), Accepted, 2020.
  24. C. Wong, B. Wang, Z. Wang, K. Lao, A. Rosa and F. Wan, “Spatial filtering in SSVEP-based BCIs: Unified framework and new improvements,” IEEE Transactions on Biomedical Engineering, DOI: 10.1109/TBME.2020.2975552, Early Access, 2020.
  25. C. Wong, F. Wan, B. Wang, Z. Wang, W. Nan, K. Lao, P. Mak, M. Vai and A. Rosa, “Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs,” Journal of Neural Engineering, 17 (1), 016026, 2020.
  26. H. Wang, X. Liu, J. Li, T. Xu, A. Bezerianos, Y. Sun and F. Wan, “Driving fatigue recognition with functional connectivity based on phase synchronization,” IEEE Transactions on Cognitive and Developmental Systems, accepted.
  27. W. Nan, L. Yang, F. Wan, F. Zhu and Y. Hu, “Alpha down-regulation neurofeedback training facilitates implicit motor learning and consolidation,” Journal of Neural Engineering, DOI: 10.1088/1741-2552/ab7c1b, Early Access, 2020.
  28. B. Wang, C. Wong, F. Wan and C. Chen. “Common spatial pattern reformulated for regularizations in brain-computer interfaces,” IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2020.2982901, in press, 2020.
  29. H. Wu and Q. Xu, “Design and Development of a Novel Two-Directional Energy Harvester With Single Piezoelectric Stack,” IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2020.2970655, 2020.
  30. Feng, L. Chen, C. L. P. Chen and L. Guo, “Deep fuzzy clustering – a representation learning approach,” in IEEE Transactions on Fuzzy Systems., Jan 2020, Early Access, DOI: 10.1109/TFUZZ.2020.2966173.
  31. Zhao, L. Chen* and C. L. P. Chen, “Laplacian regularized nonnegative representation for clustering and dimensionality reduction,” in IEEE Transactions on Circuits and Systems for Video Technology., Jan 2020, Early Access, DOI: 10.1109/TCSVT.2020.2967424.
  32. Y. Zha, X. Yuan, B. H. Wen, J. T. Zhou, J. C. Zhang, and C. Zhu, “From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration”, Accepted in IEEE Trans. on Image Process. (T-IP), 2020.
  33. Y. Zha, X. Yuan, B. H. Wen, J. T. Zhou, J. C. Zhang, and C. Zhu, “A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization”, Accepted in IEEE Trans. on Image Process. (T-IP), 2020.
  34. F. Zheng, H. Y. Duan, X. T. Tang, C. Wang, and J. T. Zhou, “Denoising in the Dark: Privacy-Preserving Deep Neural Network Based Image Denoising”, Accepted in IEEE Trans. on Dependable and Secure Computing (T-DSC), 2020.
  35. K. Min, J. T. Zhou, G. T. Zhai, P. L. Callet, X. K. Yang, X. P. Guan, “A Metric for Light Field Reconstruction, Compression, and Display Quality Evaluation”, IEEE Trans. on Image Process. (T-IP), vol. 29, pp. 3790-3804, 2020.
  36. K. Min, G. T. Zhai, J. T. Zhou, X. P. Zhang, X. K. Yang, X. P. Guan, “A Multimodal Saliency Model for Videos With High Audio-Visual Correspondence”, IEEE Trans. on Image Process. (T-IP), vol. 29, pp. 3805-3819, 2020.

  1. Xitong Gao; Yiren Zhao; Lukasz Dudziak; Robert Mullins; Cheng-Zhong Xu, Dynamic Channel Pruning: Feature Boosting and Suppression, International Conference on Learning Representations (ICLR), 2019
  2. Haoyi Xiong; Kafeng Wang; Jiang Bian; Zhanxing Zhu; Cheng-Zhong Xu; Zhishan Guo; Jun Huan,  SpHMC: Spectral Hamiltonian Monte Carlo, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). 2019.
  3. Yiren Zhao, Xitong Gao, Daniel Bates, Robert Mullins, Cheng-Zhong Xu, Focused Quantization for Sparse CNNs, NeuIPS, 2019
  4. Li Li, Haoyi Xiong, Zhishan Guo, Daxiang Dong, Jun Wang, Cheng-Zhong Xu, and Jun Huan, SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System, RTSS, 2019
  5. Nikos Tziritas;Thanasis Loukopoulos; Samee U. Khan; Chengzhong Xu;Albert Y. Zomaya, Online Live VM Migration Algorithms to Minimize Total Migration Time an d Downtime, IPDPS 2019
  6. Guoyao Xu;Cheng-Zhong Xu, MEER: Online Estimation of Optimal Memory Reservations for Long Lived Containers in In-memory Cluster Computing, ICDCS 2019
  7. Yubin Zhao; Xiaofan Li;Yuefeng Ji; Cheng-Zhong Xu, Wireless Power-driven Positioning System: Fundamental Analysis and Resource Allocation, IEEE Internet of Things Journal, 2019.
  8. Fei, B. Zhang, Y. Xu, Z. Guo, J. Wen, and W. Jia, “Learning Discriminant Direction Binary Palmprint Descriptor,” IEEE Transactions on Image Processing, vol. 28, pp. 3808-3820, 2019.
  9. Fei, B. Zhang, W. Zhang, and S. Teng, “Local Apparent and Latent Direction Extraction for Palmprint Recognition,” Information Sciences, vol. 473, pp. 59-72, 2019.
  10. Zeng, B. Zhang, Y. Lan, and J. Gou, “Robust collaborative representation-based classification via regularization of truncated total least squares,” Neural Computing and Applications, vol. 31, pp. 5689-95697, 2019.
  11. 3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention: Z.Z. Han, X.Y. Wang, C.M. Vong, Y.S. Liu, M. Zwicker, C. L. P. Chen, IJCAI 2019.
  12. Efficient Outdoor Video Semantic Segmentation using Feedback-based Fully Convolution Neural Network, C.C. Wong, Y.F. Gan, C.M. Vong, IEEE Trans. On Industrial Informatics, 2019.
  13. Kernel-based Multilayer Extreme Learning Machines for Representation Learning, C.M. Wong, C.M. Vong, P.K. Wong, J.W. Cao, IEEE Trans. On Neural Networks and Learning Systems, 2019.
  14. Xiaolin Xiao, and Yicong Zhou, “Two-dimensional Quaternion PCA and Sparse PCA,” IEEE Transactions on Neural Networks and Learning Systems, 30(7), 2028–2042, 2019.
  15. Haris Aziz, Bo Li and Xiaowei Wu, Strategyproof and Approximately Maxmin Fair Share Allocation of Chores, IJCAI 2019.
  16. M. Li, J. T. Zhou, X.W. Zheng, J.Y. Tian, Y.Y. Tang, “Robust Subspace Clustering with Independent and Piecewise Identically Distributed Noise Modeling”, In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR-19), pp.8720-8729, 2019 (Oral, AR 5.6%).
  17. M. Li and J. T. Zhou, “Fast and Effective Image Copy-Move Forgery Detection via Hierarchical Feature Point Matching”, IEEE Trans. on Inf. Forensics and Security (T-IFS), vol. 14, no. 5, pp. 1307-1322, 2019.
  18. Dong, J. T. Zhou, and Y. Y. Tang, “Content-Adaptive Noise Estimation for Color Images with Cross-Channel Noise Modeling”, IEEE Trans. on Image Process. (T-IP), vol. 28, no. 8, pp. 4161-4176, 2019.
  19. Xiao, G., Wang, H., Yan, Y., Zhang, L, Robust Geometric Model Fitting Based on Iterative Hypergraph Construction and Partition. Neurocomputing, 336. pp. 55-66, 2019.
  20. Wu ; H. Wang ; Y. Liu ; L. Zhang ; X. Gao, SAT: Single-shot Adversarial Tracker. IEEE Transactions on Industrial Electronics, 2019.
  21. Li, Y., Zhang, L., Qian, T, 2D Partial Unwinding-A Novel Non-linear Phase Decomposition of Images. IEEE Transactions on Image Processing, 28(10). pp.4762-4773, 2019.
  22. Tan, C., Zhang, L., Wu, H. A Novel Blaschke Unwinding Adaptive Fourier Decomposition based Signal Compression Algorithm with Application on ECG Signals. IEEE Journal of Biomedical and Health Informatics, 23(2). pp. 672-682, 2019.
  23. Lihu Xu, Approximation of stable law in Wasserstein-1 distance by Stein’s method, Annals of Applied Probability, 29(1), 458-504, 2019.
  24. Xiao Fang; Qi-Man Shao and Lihu Xu, Multivariate approximations in Wasserstein distance by Stein’s method and Bismut’s formula, Probability Theory and Related Fields, 174(3,4), 945–979, 2019.
  25. Jinzhu Jia, Fang Xie and Lihu Xu, Sparse Poisson regression with penalized weighted score function. Electronic Journal of Statistics, 13(2), 2898–2920, 2019.
  26. Xuebo Liu, Derek F. Wong, Lidia S. Chao, Yang Liu, Latent Attribute Based Hierarchical Decoder for Neural Machine Translation. IEEE/ACM Trans. Audio, Speech & Language Processing, 2019.
  27. Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, and Jingbo Zhu, Shared-Private Bilingual Word Embeddings for Neural Machine Translation. In Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019).
  28. Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, and Zhaopeng Tu, Context-Aware Self-Attention Networks. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).
  29. Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, and Lidia S. Chao, Leveraging Local and Global Patterns for Self-Attention Networks. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019).
  30. Hu, J., Li, W., Liu, Z., and Wang Zhou, High-dimensional covariance matrices in elliptical distributions with application to spherical test. Annals of Statistics. 47(1), 527-555, 2019.
  31. Ding, L., Liu, Z., Li, Y., Liao, S., Liu, Y., Yang, P., Yu, G., Shao, L., and Gao, X, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).
  32. -C. Xie and C.-M. Pun, “Chronological Age Estimation under the Guidance of Age-related Facial Attributes,” IEEE Transactions on Information Forensics and Security (TIFS), 14(9), pp.2500 – 2511, 2019.
  33. Xia, C.-M. Pun, D. Zhang, Y. Yang H. Lu, H. Gao and F. Xu, “A 6-DOF Telexistence Drone Controlled by a Head Mounted Display,” Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019.
  34. Tsz Nam Chan, Man Lung Yiu, Leong Hou U: KARL: Fast Kernel Aggregation Queries. ICDE: 542-553, 2019.
  35. Pedro Casau, Christopher G. Mayhew, Ricardo G. Sanfelice, Carlos Silvestre, Robust global exponential stabilization on the n-dimensional sphere with applications to trajectory tracking for quadrotors,Automatica, 2019.
  36. David Cabecinhas, Rita Cunha, Carlos Silvestre, A trajectory tracking control law for a quadrotor with slung load, Automatica, 2019.
  37. Daniel Silvestre, Paulo Rosa, João P. Hespanhad, Carlos Silvestre, Stochastic and deterministic fault detection for randomized gossip algorithms, Automatica, 2019.
  38. J. Bore, C. Yi, P. Li, F. Li, D. Harmah, Y. Si, D. Guo, D. Yao, F. Wan and P. Xu, “Sparse EEG source localization using LAPPS: Least absolute lP (0< p< 1) penalized solution,” IEEE Transactions on Biomedical Engineering, 66 (7), pp. 1927-1939, 2019.
  39. Y. Wei and Q. Xu, “A Survey of Force-Assisted Robotic Cell Microinjection Technologies,” IEEE Transactions on Automation Science and Engineering, vol. 16, no. 2, pp. 931-945, 2019.
  40. Y. Wu and Q. Xu, “Design, Fabrication, and Testing of a New Compact Piezo-Driven Flexure Stage for Vertical Micro/Nanopositioning,” IEEE Transactions on Automation Science and Engineering, vol. 16, no. 2, pp. 908-918, 2019.
  41. Wen and Q. Xu, “Design of a Novel Piezoelectric Energy Harvester Based on Integrated Multi-Stage Force Amplification Frame,” IEEE/ASME Transactions on Mechatronics, vol. 24, no. 3, pp. 1228-1237, 2019.
  42. Zhang, T. Li, J. Wang, J. Li, L. Chen, and C. Liu, “Identification of cancer-related long non-coding RNAs using XGBoost with high accuracy.” Frontiers in Genetics, 2019, 10, p.735.
  43. Li, L. Chen, & M. Gan, “Quality control of imbalanced mass spectra from isotopic labeling experiments”, BMC Bioinformatics 20, 549 (2019).
  44. W. Zheng, Y. Y. Tang, and J. T. Zhou, “A Framework of Adaptive Multiscale Wavelet Decomposition for Signals on Undirected Graphs”, IEEE Trans. on Signal Proc. (T-SP), vol. 67, no. 7, pp. 1696-1711, 2019.