王洪星，博士，毕业于新加坡南洋理工大学
教授，博士生/硕士生导师，Email: 
Research Interests
Pattern Recognition, Computer Vision, Video Understanding, Data Efficient AI
Books
● Hongxing Wang, Chaoqun Weng, Junsong Yuan, Visual Pattern Discovery and Recognition, Springer, 2017 [LINK]
Selected Grants
● 国家自然科学基金面上项目：可扩展复杂数据的代表选择与模式主动学习研究，项目负责人
● 国家自然科学基金青年基金项目：基于特征融合与字典选择的代表模式发现研究，项目负责人
● 重庆市基础科学与前沿技术研究专项项目：结构化稀疏的视觉数据浓缩方法研究，项目负责人
● 科技部科技创新2030重大项目，子课题负责人
● 重庆市技术创新与应用发展人工智能重点专项项目，课题负责人
● 重庆市技术创新与应用发展专项重大项目，主研
Selected Publications
● C. Feng, Z. Zhao, H. Wang. D^2AE: Data-Decoupled Active Experts Promote One-Class Anomaly Discovery. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 (CCF-A)
● J. Tan, H. Wang, J. Weng, J. Li, Z. Ou, K. Dang. Anchor-Aware Similarity Cohesion in Target Frames Enables Predicting Temporal Moment Boundaries in 2D. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025 (CCF-A)
● Z. Ou, H. Wang, J. Tan, J. Li, Z. Zhao, Z. Qian. Label refinement for change detection in remote sensing. Image and Vision Computing (IVC), 2025 (CCF-C)
● J. Li, H. Wang, J. Tan, Z. Ou, J. Yuan. Aligning Instance-Semantic Sparse Representation towards Unsupervised Object Segmentation and Shape Abstraction with Repeatable Primitives. IEEE Transactions on Visualization and Computer Graphics (TVCG). 2025 (CCF-A)
● J. Tan, H. Wang, K. Dang, J. Li, Z. Ou. Modality-Aware Shot Relating and Comparing for Video Scene Detection. In AAAI Conference on Artificial Intelligence (AAAI) 2025 (CCF-A)
● M. Jing, Z. Ou, H. Wang, J. Li, Z. Zhao. Object Recognition Consistency in Regression for Active Detection. Machine Vision and Applications (MVA), 2024 (CCF-C)
● J. Li, H. Wang, J. Tan, J. Yuan. Shared Latent Membership Enables Joint Shape Abstraction and Segmentation With Deformable Superquadrics. IEEE Transactions on Image Processing (TIP), 2024 (CCF-A)
● Z. Wang, H. Wang. Lifelong learning with selective attention over seen classes and memorized instances. Neural Computing and Applications (NCA), 2024 (CCF-C)
● J. Tan, H. Wang, J. Yuan. Characters Link Shots: Character Attention Network for Movie Scene Segmentation. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2024 (CCF-B)
● S. Song, J. Wang, Z. Wang, H. Wang, J. Su, X. Ding, K. Dang. DualStreamFoveaNet: A Dual Stream Fusion Architecture With Anatomical Awareness for Robust Fovea Localization. IEEE Journal of Biomedical and Health Informatics (JBHI), 2024 (JCR Q1)
● J. Tan, P. Yang, L. Chen, H. Wang. Temporal Scene Montage for Self-Supervised Video Scene Boundary Detection. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2024 (CCF-B)
● Z. Qian, J. Tan, Z. Ou, H. Wang. CLIP-Driven Multi-Scale Instance Learning for Weakly Supervised Video Anomaly Detection. In IEEE International Conference on Multimedia and Expo (ICME), 2024 (CCF-B)
● J. Tan, H. Wang, J. Li, Z. Ou, Z. Qian. Neighbor Relations Matter in Video Scene Detection. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (CCF-A)
● L. Chen, J. Tan, P. Yang, H. Wang. Semantic Transition Detection for Self-supervised Video Scene Segmentation. In International Conference on MultiMedia Modeling (MMM), 2024 (CCF-C)
● J. Xie, J. Li, J. Tan, H. Wang. Cascade Sampling via Dual Uncertainty for Active Entity Alignment. In International Conference on Knowledge Science, Engineering and Management (KSEM), 2023 (CCF-C)
● H. Fu, H. Wang. Multiple cross-attention for video-subtitle moment retrieval. Pattern Recognition Letters (PRL), 2022 (CCF-C)
● Z. Zhu, H. Wang. Deep Adversarial Active Learning With Model Uncertainty For Image Classification. In IEEE International Conference on Image Processing (ICIP), 2020 (CCF-C)
● J. Jiang, H. Wang. Multi-Grained Selection and Fusion for Fine-Grained Image Representation. In International Joint Conference on Neural Networks (IJCNN), 2020 (CCF-C)
● H. Wang, J. Yuan. Representative Selection on a Hypersphere. IEEE Signal Processing Letters (SPL), 2018 (CCF-C)
● J. Meng, S. Wang, H. Wang, J. Yuan, and Y.-P. Tan. Video Summarization Via Multiview Representative Selection. IEEE Transactions on Image Processing (TIP), 2018 (CCF-A)
● C. Weng, H. Wang, J. Yuan, X. Jiang. Discovering Class-Specific Spatial Layouts for Scene Recognition. IEEE Signal Processing Letters (SPL), 2017 (CCF-C)
● H. Wang, Y. Kawahara, C. Weng, J. Yuan. Representative Selection with Structured Sparsity. Pattern Recognition (PR), 2017 (CCF-B)
● J. Meng, H. Wang, J. Yuan, Y.-P. Tan. From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection. in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (CCF-A)
● X. Zhang, Y. Qu, D. Yang, H. Wang, J. Kymer. Laplacian Scale Space Behavior of Planar Curve Corners. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2015 (CCF-A)
● H. Wang, J. Yuan. Collaborative Multifeature Fusion for Transductive Spectral Learning. IEEE Transactions on Cybernetics (TCYB), 2015 (CCF-B)
● H. Wang, C. Weng, J. Yuan. Multi-feature Spectral Clustering with Minimax Optimization. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 (CCF-A)
● H. Wang, J. Yuan, Y. Wu. Context-Aware Discovery of Visual Co-occurrence Patterns. IEEE Transactions on Image Processing (TIP), 2014 (CCF-A)
● C. Weng, H. Wang, J. Yuan. Learning weighted geometric pooling for image classification. In IEEE International Conference on Image Processing (ICIP), 2013 (CCF-C)
● C. Weng, H. Wang, J. Yuan. Hierarchical sparse coding based on spatial pooling and multi-feature fusion. In IEEE International Conference on Multimedia and Expo (ICME), 2013 (CCF-B)
● H. Wang, J. Yuan, Y.-P. Tan. Combining Feature Context and Spatial Context for Image Pattern Discovery. In IEEE International Conference on Data Mining (ICDM), 2011 (CCF-B)
Area Chair/Senior PC Member
AAAI Conference on Artificial Intelligence (AAAI), from 2022
IEEE International Conference on Multimedia & Expo (ICME), from 2021
Session Chair
IEEE International Conference on Multimedia & Expo (ICME), 2021
PC Member/Reviewer for Refereed Conferences
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), from 2017
IEEE International Conference on Computer Vision (ICCV), from 2017
IEEE International Conference on Multimedia & Expo (ICME), from 2015 (Outstanding Reviewer Award, 2018)
IEEE Conference on Visual Communication and Image Processing (VCIP), from 2012
European Conference on Computer Vision (ECCV), from 2018
International Conference on Learning Representations (ICLR), from 2022
Neural Information Processing Systems (NeurIPS), from 2022
AAAI Conference on Artificial Intelligence (AAAI), from 2020
ACM International Conference on Multimedia (ACM MM), from 2018
Reviewer for Refereed Journals
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
IEEE Transactions on Multimedia
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Cybernetics
Pattern Recognition (Outstanding Reviewer Award, 2018)
Pattern Recognition Letters (Outstanding Reviewer Award, 2017)
Image and Vision Computing
Information Fusion
Journal of Visual Communication and Image Representation (Outstanding Reviewer Award, 2018)
The Visual Computer
TC Member
中国计算机学会计算机视觉专委会委员
中国自动化学会模式识别与机器智能专委会委员
中国人工智能学会模式识别专委会委员
中国图象图形学学会视觉大数据专委会委员
Selected Awards
重庆市科技进步一等奖，2019
PRCV Best Reviewer Award, 2024
IEEE ICME Outstanding Reviewer Award, 2018
重庆大学青年教师教学基本功比赛二等奖，2019
重庆大学大数据与软件学院青年教师教学基本功比赛一等奖，2017/2019
重庆大学新进教师微格优秀教学奖，2016
NTU Research Scholarship, 2010-2014
ICDM Student Travel Award, 2011
