Zhong, Wenliang

17 publications

MIDL 2026 Guideline-Informed MLLM Reasoning for Pathology-Aware Postoperative Prostate CTV Segmentation Yinhao Wu, Hengrui Zhao, Haiqing Li, Wenliang Zhong, Hehuan Ma, Yuzhi Guo, Dan Nguyen, Daniel Yang, Steve Jiang, Junzhou Huang

CVPR 2025 Towards Stable and Storage-Efficient Dataset Distillation: Matching Convexified Trajectory Wenliang Zhong, Haoyu Tang, Qinghai Zheng, Mingzhu Xu, Yupeng Hu, Weili Guan

ICCV 2025 Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation Wenliang Zhong, Rob Barton, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, Abhishek Dan, Shioulin Sam, Karim Bouyarmane, Junzhou Huang

ECCV 2024 Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma, Junzhou Huang

NeurIPS 2024 End-to-End Learnable Clustering for Intent Learning in Recommendation Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Xinwang Liu, Shengju Yu, Kejun Zhang, Wenliang Zhong

NeurIPS 2024 Identify Then Recommend: Towards Unsupervised Group Recommendation Yue Liu, Shihao Zhu, Tianyuan Yang, Jian Ma, Wenliang Zhong

WACV 2024 MIVC: Multiple Instance Visual Component for Visual-Language Models Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang

CVPR 2024 Towards Efficient Replay in Federated Incremental Learning Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang

ICML 2022 Multi-Slots Online Matching with High Entropy Xingyu Lu, Qintong Wu, Wenliang Zhong

NeurIPS 2022 On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond Shiji Zhou, Wenpeng Zhang, Jiyan Jiang, Wenliang Zhong, Jinjie Gu, Wenwu Zhu

AAAI 2021 Learning Graph Neural Networks with Approximate Gradient Descent Qunwei Li, Shaofeng Zou, Wenliang Zhong

AISTATS 2014 Accelerated Stochastic Gradient Method for Composite Regularization Wenliang Zhong, James Tin-Yau Kwok

ICML 2014 Fast Stochastic Alternating Direction Method of Multipliers Wenliang Zhong, James Kwok

AAAI 2014 Gradient Descent with Proximal Average for Nonconvex and Composite Regularization Wenliang Zhong, James T. Kwok

IJCAI 2013 Accurate Probability Calibration for Multiple Classifiers Wenliang Zhong, James T. Kwok

ICML 2012 Convex Multitask Learning with Flexible Task Clusters Wenliang Zhong, James Tin-Yau Kwok

ICML 2011 Efficient Sparse Modeling with Automatic Feature Grouping Wenliang Zhong, James T. Kwok