| 2026 | AAAI | S3Net: Spatiotemporally Separated Sparse Network for Neuromorphic Vision Processing. | Ping He, Rong Xiao, Wanying Xu, Chenwei Tang, Shudong Huang, Huajin Tang |
| 2026 | AAAI | PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning. | Zhuoyao Liu, Yang Liu, Wentao Feng, Shudong Huang |
| 2025 | AAAI | Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval. | Yang Liu, Shudong Huang, Deng Xiong, Jiancheng Lv |
| 2025 | AAAI | Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment. | Yang Liu, Mengyuan Liu, Shudong Huang, Jiancheng Lv |
| 2025 | AAAI | Multi-view Granular-ball Contrastive Clustering. | Peng Su, Shudong Huang, Weihong Ma, Deng Xiong, Jiancheng Lv |
| 2025 | CIKM | Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation. | Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Dapeng Liu, Lei Xiao |
| 2025 | ICCV | Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching. | Yang Liu, Wentao Feng, Zhuoyao Liu, Shudong Huang, Jiancheng Lv |
| 2025 | IJCAI | DONIS: Importance Sampling for Training Physics-Informed DeepONet. | Shudong Huang, Rui Huang, Ming Hu, Wentao Feng, Jiancheng Lv |
| 2024 | AAAI | An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization. | Yuze Tan, Hecheng Cai, Shudong Huang, Shuping Wei, Fan Yang, Jiancheng Lv |
| 2024 | ICML | Multi-View Clustering by Inter-cluster Connectivity Guided Reward. | Hao Dai, Yang Liu, Peng Su, Hecheng Cai, Shudong Huang, Jiancheng Lv |
| 2024 | IJCAI | With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning. | Hecheng Cai, Yang Liu, Shudong Huang, Jiancheng Lv |
| 2024 | IJCAI | Robust Contrastive Multi-view Kernel Clustering. | Peng Su, Yixi Liu, Shujian Li, Shudong Huang, Jiancheng Lv |
| 2024 | KDD | Understanding the Ranking Loss for Recommendation with Sparse User Feedback. | Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang |
| 2024 | WSDM | Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. | Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang |
| 2023 | AAAI | Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. | Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He |
| 2023 | AAAI | Metric Multi-View Graph Clustering. | Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang |
| 2023 | CVPR | Sample-level Multi-view Graph Clustering. | Yuze Tan, Yixi Liu, Shudong Huang, Wentao Feng, Jiancheng Lv |
| 2023 | IJCAI | Lifelong Multi-view Spectral Clustering. | Hecheng Cai, Yuze Tan, Shudong Huang, Jiancheng Lv |
| 2022 | AAAI | Multi-View Clustering on Topological Manifold. | Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu |
| 2019 | IJCAI | Multiple Partitions Aligned Clustering. | Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu |
| 2018 | ECIR | TREC 2018 News Track. | Shudong Huang, Ian Soboroff, Donna Harman |
| 2017 | IJCNN | Nonnegative matrix factorization with adaptive neighbors. | Shudong Huang, Zenglin Xu, Fei Wang |
| 2006 | LREC | The Mixer and Transcript Reading Corpora: Resources for Multilingual, Crosschannel Speaker Recognition Research. | Christopher Cieri, Walter D. Andrews, Joseph P. Campbell, George R. Doddington, John J. Godfrey, Shudong Huang, Mark Y. Liberman, Alvin F. Martin, Hirotaka Nakasone, Mark A. Przybocki, Kevin Walker |