| Name |
Research Interests |
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Prof. Jianping WANG
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Service-oriented Networking; Cloud Computing; Multicast; Optical Networking; Wireless Networking; Network Coding |
| Key Publications |
[expand] |
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Zikang Zhou, Luyao Ye, Jianping Wang, Kui Wu, and Kejie Lu, “HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction”, CVPR 2022.
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Jindi Zhang, Yang Lou, Jianping Wang, Kui Wu, Kejie Lu, and Xiaohua Jia, “Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles”, IEEE Internet of Things Journal, 2021.
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Yifan Zhang, Jinghuai Zhang, Jindi Zhang, Jianping Wang, Kejie Lu, and Jeff Hong, “A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving”, AAAI 2020.
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Jianping Wang, Chunming Qiao, and Hongfang Yu, “On progressive recovery after a major disruption”, IEEE INFOCOM 2011.
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Jianping Wang, “Exploiting mobility prediction for dependable service composition in wireless mobile ad hoc networks”, IEEE Transactions on Service Computing, Vol. 4, No. 1, pp44-55, 2010.
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Prof. Antoni CHAN
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Computer Vision; Surveillance; Machine Learning; Pattern Recognition; Computer Audition; Music Information Retrieval; Eye Gaze Analysis |
| Key Publications |
[expand] |
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“Kernel-based Density Map Generation for Dense Object Counting." Jia Wan, Qingzhong Wang, and Antoni B. Chan, IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 44(3):1357-1370, Mar 2022.
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“On Diversity in Image Captioning: Metrics and Methods." Qingzhong Wang, Jia Wan, and Antoni B. Chan, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 44(2):1035-1049, Feb 2022.
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“Visual Tracking via Dynamic Memory Networks." Tianyu Yang and Antoni B. Chan, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 43(1):360-374, Jan 2021.
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“Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs." Qi Zhang and Antoni B. Chan, In: IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, June 2019.
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“Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation." Sijin Li, Weichen Zhang, and Antoni B. Chan, International Journal of Computer Vision (IJCV), 122(1):149-168, March 2017.
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Prof. Cong WANG
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Cloud Computing; Data and Computation Outsourcing Security; Access Control; Computer and Mobile Networks |
| Key Publications |
[expand] |
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"Achieving secure, scalable, and fine-grained data access control in cloud computing." Yu, Shucheng; Wang, Cong; Ren, Kui et al. Proceedings - IEEE INFOCOM. 2010. 5462174.
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"Privacy-preserving public auditing for secure cloud storage." Wang, Cong; Chow, Sherman S.M.; Wang, Qian et al. In: IEEE Transactions on Computers, Vol. 62, No. 2, 6109245, 02.2013, p. 362-375.
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"Privacy-preserving public auditing for data storage security in cloud computing." Wang, Cong; Wang, Qian; Ren, Kui et al. Proceedings - IEEE INFOCOM. 2010. 5462173.
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"Enabling public auditability and data dynamics for storage security in cloud computing." Wang, Qian; Wang, Cong; Ren, Kui et al. In: IEEE Transactions on Parallel and Distributed Systems, Vol. 22, No. 5, 5611497, 2011, p. 847-859.
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"Privacy-preserving multi-keyword ranked search over encrypted cloud data." Cao, Ning; Wang, Cong; Li, Ming et al. In: IEEE Transactions on Parallel and Distributed Systems, Vol. 25, No. 1, 01.2014, p. 222-233.
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Prof. Hau San WONG
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Multimedia Information Retrieval; Computer Graphics; Pattern Recognition; Bioinformatics |
| Key Publications |
[expand] |
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R. Li, Q. Jiao, W. Cao, H.S. Wong and S. Wu, “Model Adaptation: Unsupervised Domain Adaptation without Source Data”, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2020), pp. 9641-9650, 2020.
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R. Li, W. Cao, S. Wu and H.S. Wong, “Generating Target Image-Label Pairs for Unsupervised Domain Adaptation”, IEEE Trans. on Image Processing, vol. 29, pp 7997-8011, 2020.
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J. Li, S. Wu, C. Liu, Z. Yu and H.S. Wong, “Semi-supervised Deep Coupled Ensemble Learning with Classification Landmark Exploration”, IEEE Trans. on Image Processing, vol. 29, pp. 538-550, 2020.
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S. Wu, J. Li, C. Liu, Z. Yu and H.S. Wong, “Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification”, Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2019), pp. 6500-6509, 2019.
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W. Cao. S. Wu, Z. Yu and H.S. Wong, “Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering”, IEEE Trans. on Neural Networks and Learning Systems, vol. 30, no. 2, pp. 355-368, 2019.
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Prof. Howard LEUNG
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Pattern Recognition; Multimedia and Image Processing; Intelligent Tools for Chinese Handwriting Education; 3D Human Motion Analysis and Retrieval; Web-Based Learning Technologies |
| Key Publications |
[expand] |
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Qianhui Men, Edmond S.L. Ho, Hubert P.H. Shum and Howard Leung, “A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction”, IEEE Transactions on Circuits and Systems for Video Technology, 31(9), pp. 3417–3432, September 2021.
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Cecilia W.P. Li-Tsang, Tim M.H. Li, Mandy S.W. Lau, Amy G.W. Lo, Choco H.Y. Ho and Howard W.H. Leung, “Computerised Handwriting Speed Test System (CHSTS): Validation of a handwriting assessment for Chinese secondary students”, Australian Occupational Therapy Journal, 66(1), pp. 91-99, February 2019.
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Meng Li and Howard Leung, “Multiview Skeletal Interaction Recognition Using Active Joint Interaction Graph”, IEEE Transactions on Multimedia, 18(11), pp. 2293-2302, November 2016.
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Jacky C.P. Chan, Jeff K.T. Tang and Howard Leung, “Synthesizing Two-character Interactions by Merging Captured Interaction Samples with their Spacetime Relationships”, Computer Graphics Forum, 32(7), pp. 41-50, October 2013.
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Jacky Chun Pong Chan, Howard Leung, Jeff Kai Tai Tang and Taku Komura, “A Virtual Reality Dance Training System Using Motion Capture Technology”, IEEE Transactions on Learning Technologies, 4(2), pp. 187-195, April-June 2011.
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Prof. Linqi SONG
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Data Science; Machine Learning; Recommender Systems; Information Theory; Algorithms; NLP; Privacy; Smart Grids |
| Key Publications |
[expand] |
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Kun Xu, Han Wu, Linfeng Song, Haisong Zhang, Linqi Song and Dong Yu, “Conversational Semantic Role Labeling”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 2465-2475, 2021.
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Deepesh Data, Linqi Song, and Suhas Diggavi, “Data Encoding for Byzantine-Resilient Distributed Optimization”, IEEE Transactions on Information Theory, vol. 67, no. 2, pp. 1117-1140, 2021.
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Linqi Song, and Christina Fragouli, Tianchu Zhao, “A Pliable Index Coding Approach to Data Shuffling”, IEEE Transactions on Information Theory, vol. 66, no. 3, pp. 1333-1353, 2019.
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Linqi Song, and Christina Fragouli, “Making Recommendations Bandwidth Aware”, IEEE Transactions on Information Theory, vol. 64, no. 11, pp. 7031-7050, 2018.
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Linqi Song, and Christina Fragouli, “A Polynomial-Time Algorithm for Pliable Index Coding”, IEEE Transactions on Information Theory, vol. 64, no. 2, pp. 979-999, 2018.
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Prof. Junhui HOU
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Visual Signal Processing; Image/Video Representation and Analysis (RGB/Depth/Light Field/Hyperspectral); Static/Dynamic 3D Geometry Representation and Processing (Mesh/Point Cloud/MoCap); Semi-supervised modeling |
| Key Publications |
[expand] |
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Mantang Guo, Junhui Hou, Jing Jin, Jie Chen, and Lap-Pui Chau, “Deep Spatial-angular Regularization for Light Field Imaging, Denoising, and Super-resolution", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, DOI: 10.1109/TPAMI.2021.3087485.
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Yiming Zeng, Yue Qian, Zhiyu Zhu, Junhui Hou, Hui Yuan, and Ying He, “CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds", IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 6052-6061.
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Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, and Qingfu Zhang, “Semantic-Embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild", IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
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Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, and Runmin Cong, “Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement”, in Proc. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 1780-1789.
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Yuheng Jia, Hui Liu, Junhui Hou, and Qingfu Zhang, “Clustering Ensemble Meets Low-rank Tensor Approximation”, in Proc. AAAI Conference on Artificial Intelligence (AAAI), 2021, pp. 7970-7978.
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Prof. Shiqi WANG
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Image/video compression; Visual quality-of-experience; Multimedia communications; Image/video retrieval and analysis; Multimedia forensics |
| Key Publications |
[expand] |
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Chris Xing Tian, Haoliang Li, Xiaofei Xie, Yang Liu, Shiqi Wang, “Neuron Coverage-Guided Domain Generalization", in IEEE Transactions on Pattern Analysis and Machine Intelligence, doi: 10.1109/TPAMI.2022.3157441.
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Haoliang Li, Shiqi Wang, Renjie Wan, Alex C. Kot, “GMFAD: Towards Generalized Visual Recognition via Multilayer Feature Alignment and Disentanglement", in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 3, pp. 1289-1303, 1 March 2022, doi: 10.1109/TPAMI.2020.3020554.
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Wenhan Yang, Robby T. Tan, Shiqi Wang, Yuming Fang, Jiaying Liu, “Single Image Deraining: From Model-Based to Data-Driven and Beyond", in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 11, pp. 4059-4077, 1 Nov. 2021, doi: 10.1109/TPAMI.2020.2995190.
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Peilin Chen, Wenhan Yang, Meng Wang, Long Sun, Kangkang Hu, Shiqi Wang, “Compressed Domain Deep Video Super-Resolution”, in IEEE Transactions on Image Processing, vol. 30, pp. 7156-7169, 2021, doi: 10.1109/TIP.2021.3101826.
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Baoliang Chen, Haoliang Li, Hongfei Fan, Shiqi Wang, “No-Reference Screen Content Image Quality Assessment With Unsupervised Domain Adaptation”, in IEEE Transactions on Image Processing, vol. 30, pp. 5463-5476, 2021, doi: 10.1109/TIP.2021.3084750.
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Prof. Jing LIAO
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Computer Graphics; Computer Vision; Image/Video Processing; Digital Art; Computational Photography |
| Key Publications |
[expand] |
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Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao, “Learning with Noisy Labels for Robust Point Cloud Segmentation", Proc. ICCV Oral, 2021.
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Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen, “Bringing Old Photos Back to Life", Proc. CVPR Oral, 2020.
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Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Nenghai Yu, Gang Hua, “Explicit Filterbank Learning for Neural Image Style Transfer and Image Processing", IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(7), 2373-2387, 2020.
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Mingming He, Jing Liao, Dongdong Chen, Lu Yuan, Pedro Sander, “Progressive Color Transfer with Dense Semantic Correspondences”, ACM Transaction on Graphics, 38(2), 13, 2019.
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Jing Liao, Yuan Yao, Lu Yuan, Gang Hua, Sing Bing Kang, “Visual Attribute Transfer through Deep Image Analogy”, ACM Transactions on Graphics, (Proc. of Siggraph), 36(4), 2017.
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Prof. Kede MA
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Perceptual Image Processing; Computational Vision; Computational Photography; Multimedia Forensics |
| Key Publications |
[expand] |
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Keyan Ding, Kede Ma, Shiqi Wang, and Eero P. Simoncelli, “Image Quality Assessment: Unifying Structure and Texture Similarity", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), to appear.
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Kede Ma, Zhengfang Duanmu, Zhou Wang, Qingbo Wu, Wentao Liu, Hongwei Yong, Hongliang Li, and Lei Zhang, “Group Maximum Differentiation Competition: Model Comparison with Few Samples", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 42, no. 4, pp. 851-864, Apr. 2020.
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Kede Ma, Wentao Liu, Kai Zhang, Zhengfang Duanmu, Zhou Wang, and Wangmeng Zuo, “End-to-End Blind Image Quality Assessment Using Deep Neural Networks", IEEE Transactions on Image Processing (TIP), vol. 27, no. 3, pp. 1202-1213, Mar. 2018.
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Kede Ma, Hui Li, Hongwei Yong, Zhou Wang, Deyu Meng, and Lei Zhang, “Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach”, ACM Transaction on Graphics, 38(2), 13, 2019.
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Kede Ma, Kai Zeng, and Zhou Wang, “Perceptual Quality Assessment for Multi-Exposure Image Fusion”, IEEE Transactions on Image Processing (TIP), vol. 24, no. 11, pp. 3345-3356, Nov. 2015.
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