Representative works

2020

  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.

2019

  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.