Representative works
2020
- 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.
- Zhihao Gavin Tang, Xiaowei Wu and Yuhao Zhang, Towards a Better Understanding of Randomized Greedy Matching, STOC 2020.
- 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.
- 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.
- Zhao, and B. Zhang, “Deep Discriminative Representation for Generic Palmprint Recognition,” Pattern Recognition, vol. 98, pp. 107071, 2020.
- 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.
- 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.
- Robust Online Multilabel Learning under Dynamic Changes in Data Distribution with Labels, J. Du, C.M. Vong. IEEE Trans. On Cybernetics, 2020.
- 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.
- 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.
- 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
- Xiaolin Xiao, Yongyong Chen, Yuejiao Gong, and Yicong Zhou, “2D Quaternion Sparse Discriminant Analysis”, IEEE Transactions on Image Processing, 29(1), 2271–2286, 2020.
- Minming Li, Long Tran-Thanh and Xiaowei Wu, Defending with Shared Resources on a Network, AAAI 2020.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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
- 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.
- Yiren Zhao, Xitong Gao, Daniel Bates, Robert Mullins, Cheng-Zhong Xu, Focused Quantization for Sparse CNNs, NeuIPS, 2019
- 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
- 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
- Guoyao Xu;Cheng-Zhong Xu, MEER: Online Estimation of Optimal Memory Reservations for Long Lived Containers in In-memory Cluster Computing, ICDCS 2019
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Haris Aziz, Bo Li and Xiaowei Wu, Strategyproof and Approximately Maxmin Fair Share Allocation of Chores, IJCAI 2019.
- 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%).
- 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.
- 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.
- 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.
- Wu ; H. Wang ; Y. Liu ; L. Zhang ; X. Gao, SAT: Single-shot Adversarial Tracker. IEEE Transactions on Industrial Electronics, 2019.
- 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.
- 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.
- Lihu Xu, Approximation of stable law in Wasserstein-1 distance by Stein’s method, Annals of Applied Probability, 29(1), 458-504, 2019.
- 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.
- Jinzhu Jia, Fang Xie and Lihu Xu, Sparse Poisson regression with penalized weighted score function. Electronic Journal of Statistics, 13(2), 2898–2920, 2019.
- 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.
- 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).
- 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).
- 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).
- 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.
- 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).
- -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.
- 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.
- Tsz Nam Chan, Man Lung Yiu, Leong Hou U: KARL: Fast Kernel Aggregation Queries. ICDE: 542-553, 2019.
- 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.
- David Cabecinhas, Rita Cunha, Carlos Silvestre, A trajectory tracking control law for a quadrotor with slung load, Automatica, 2019.
- Daniel Silvestre, Paulo Rosa, João P. Hespanhad, Carlos Silvestre, Stochastic and deterministic fault detection for randomized gossip algorithms, Automatica, 2019.
- 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.
- 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.
- 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.
- 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.
- 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.
- Li, L. Chen, & M. Gan, “Quality control of imbalanced mass spectra from isotopic labeling experiments”, BMC Bioinformatics 20, 549 (2019).
- 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.