常虹，研究员，博士生导师。先后于1998年、2001年和2006年毕业于河北工业大学、天津大学和香港科技大学，获计算机科学本科、硕士和博士学位。曾任施乐欧洲研究中心研究员，2008年加入中科院计算所。主要研究方向包括机器学习与模式识别的方法、模型以及在图像处理、计算机视觉、数据挖掘等方面的应用。
教育经历
2001-2006: The Hong Kong University of Science and Technology, Hong Kong, China
1998-2001: Tianjin University, China
1994-1998: Hebei University of Technology, China
学术经历
2008.3-now: Associate Researcher/ Researcher at Institute of Computing Technology, CAS, Beijing, China
2016.9-2018.6: Visiting professor at KU Leuven, Belgium
2006.11-2007.12: Research Scientist at Xerox Research Centre Europe, France
刊物服务
[1] Associate Editor of: Pattern Recognition
[2] Associate Editor of: Web Intelligence and Agent Systems
[3] Reviewer of: TPAMI, TNNLS, TIP, CSVT, TIST, PR, etc.
会议服务
[1] Program committee member of: IJCAI'2015/2018, UAI'2015/2017, ICCV'2015/2017, CVPR'2014/2015/2016/2017/2019, ECCV'2014/2018, AAAI'2014/2016/2017/2018/2019, etc.
[2] Local team member, ICML'2014
[3] Speaker coordinator, CNCC'2012
1. Algorithms and models for machine learning and pattern recognition
particularly metric learning, deep neural networks, manifold learning, kernel methods etc.
2. Applications of machine learning methods on CV and PR problems
particularly image/video representation, object detection, tracking and recognition, etc.
论文
Journal: (selected)
[1] Keliang Li, Hong Chang, Shiguang Shan, Xilin Chen. Enhancing Robustness to Class- Conditional Distribution Shift in Long-Tailed Recognition. Transactions on Machine Learning Research. 2024.
[2] Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Dual Compensation Residual Networks for Class Imbalanced Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11733-11752, 2023.
[3] Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen. Feature Completion for Occluded Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4894-4912, 2022.
[4] Xinqian Gu, Hong Chang, Bingpeng Ma, Shiguang Shan. Motion Feature Aggregation for Video-Based Person Re-Identification. IEEE Trans. Image Process. 31: 3908-3919, 2022.
[5] Nan Kang, Hong Chang, Bingpeng Ma and Shiguang Shan. A Comprehensive Framework for Long-Tailed Learning via Pretraining and Normalization. IEEE Trans. on Neural Networks and Learning Systems, 35(3):3437-3449, 2022.
[6] Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1747-1760, 2019.
Conference: (most recent)
[1] Minyang Hu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing. ICLR, 2024.
[2] Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Diversity- Measurable Anomaly Detection. CVPR, 2023.
[3] Minyang Hu, Hong Chang, Zong Guo, Bingpeng Ma, Shiguang Shan, Xilin Chen. Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes. NeurIPS, 2023.
[4] Jiachen Liang, Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation. NeurIPS, 2023.
[5] Minyang Hu, Hong Chang, Bingpeng Ma, Shiguang Shan. Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks. IJCAI, 2022.
[6] Yinqi Li, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Optimal Positive Generation via Latent Transformation for Contrastive Learning. NeurIPS, 2022
[7] Botao Ye, Hong Chang, Bingpeng Ma, Shiguang Shan and Xilin Chen. Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework. CVPR, 2022.
[8] Xinqian Gu, Hong Chang, Bingpeng Ma, Shutao Bai, Shiguang Shan, and Xilin Chen. Clothes-Changing Person Re-identification with RGB Modality Only. CVPR, 2022.
[9] Shutao Bai, Bingpeng Ma, Hong Chang, Rui Huang, and Xilin Chen. Salient-to-Broad Transition for Video Person Re-identification. CVPR, 2022.
