Shuo He - RankMe

27 papers A* 12Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems. CoRR Lang Feng, Longtao Zheng, Shuo He, Fuxiang Zhang, Bo An
2026	J	`jnl`	Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks. CoRR Shuo He, Lang Feng, Qi Wei, Xin Cheng, Lei Feng, Bo An
2026	J	`jnl`	Online Causal Kalman Filtering for Stable and Effective Policy Optimization. CoRR Shuo He, Lang Feng, Xin Cheng, Lei Feng, Bo An
2026	J	`jnl`	Phase-Aware Mixture of Experts for Agentic Reinforcement Learning. CoRR Shengtian Yang, Yu Li, Shuo He, Yewen Li, Qingpeng Cai, Peng Jiang, Lei Feng
2026	J	`jnl`	Test-Time Attention Purification for Backdoored Large Vision Language Models. CoRR Zhifang Zhang, Bojun Yang, Shuo He, Weitong Chen, Wei Emma Zhang, Olaf Maennel, Lei Feng, Miao Xu
2025	A*	`conf`	A Closer Look at Backdoor Attacks on CLIP. ICML Shuo He, Zhifang Zhang, Feng Liu, Roy Ka-Wei Lee, Bo An, Lei Feng
2025	J	`jnl`	Improving Generalizability and Undetectability for Targeted Adversarial Attacks on Multimodal Pre-trained Models. CoRR Zhifang Zhang, Jiahan Zhang, Shengjie Zhou, Qi Wei, Shuo He, Feng Liu, Lei Feng
2025	A*	`conf`	Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack. AAAI Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An
2025	A*	`conf`	Representation Surgery in Model Merging with Probabilistic Modeling. ICML Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An
2025	A*	`conf`	Test-Time Multimodal Backdoor Detection by Contrastive Prompting. ICML Yuwei Niu, Shuo He, Qi Wei, Zongyu Wu, Feng Liu, Lei Feng
2024	J	`jnl`	BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection. CoRR Yuwei Niu, Shuo He, Qi Wei, Feng Liu, Lei Feng
2024	A*	`conf`	Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning. ICLR Shuo He, Chaojie Wang, Guowu Yang, Lei Feng
2024	J	`jnl`	Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning. CoRR Zhifang Zhang, Shuo He, Bingquan Shen, Lei Feng
2023	A*	`conf`	A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. AAAI Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
2023	J	`jnl`	A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. CoRR Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
2023	A*	`conf`	Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning. ICCV Shuo He, Guowu Yang, Lei Feng
2023	A*	`conf`	Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples. KDD Shuo He, Lei Feng, Guowu Yang
2023	J	`jnl`	Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples. CoRR Shuo He, Lei Feng, Guowu Yang
2022	J	`jnl`	Incorporating multiple cluster centers for multi-label learning. Inf. Sci. Senlin Shu, Fengmao Lv, Yan Yan, Li Li, Shuo He, Jun He
2022	A*	`conf`	Partial Label Learning with Semantic Label Representations. KDD Shuo He, Lei Feng, Fengmao Lv, Wen Li, Guowu Yang
2020	J	`jnl`	Incorporating Multiple Cluster Centers for Multi-Label Learning. CoRR Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li
2019	A*	`conf`	Collaboration Based Multi-Label Learning. AAAI Lei Feng, Bo An, Shuo He
2019	J	`jnl`	Collaboration based Multi-Label Learning. CoRR Lei Feng, Bo An, Shuo He
2019	A*	`conf`	Discriminatively Relabel for Partial Multi-label Learning. ICDM Shuo He, Ke Deng, Li Li, Senlin Shu, Li Liu
2018	J	`jnl`	Content tracking by leveraging hashtag and time information in Twitter social media. Web Intell. Xiaofei Xu, Li Li, Jinjing Zhang, Jing Wang, Shuo He
2018	A*	`conf`	Estimating Latent Relative Labeling Importances for Multi-label Learning. ICDM Shuo He, Lei Feng, Li Li
2017	—	`conf`	IIRank: Co-Ranking Scientific Articles by Characterizing their Innovativeness and Importance. ChineseCSCW Fan Li, Zili Zhang, Li Li, Xiaofei Xu, Shuo He