Zhou, Zhanke

17 publications

AAAI 2025 Eliciting Causal Abilities in Large Language Models for Reasoning Tasks Yajing Wang, Zongwei Luo, Jingzhe Wang, Zhanke Zhou, Yongqiang Chen, Bo Han

ICML 2025 From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium Xie Yi, Zhanke Zhou, Chentao Cao, Qiyu Niu, Tongliang Liu, Bo Han

ICML 2025 From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions Under Incomplete Information? Zhanke Zhou, Xiao Feng, Zhaocheng Zhu, Jiangchao Yao, Sanmi Koyejo, Bo Han

ICLRW 2025 Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models Zhanke Zhou, Xuan Li, Zhaocheng Zhu, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han

ICLR 2025 Noisy Test-Time Adaptation in Vision-Language Models Chentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han

ICLR 2025 Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond Qizhou Wang, Jin Peng Zhou, Zhanke Zhou, Saebyeol Shin, Bo Han, Kilian Q Weinberger

NeurIPS 2024 Can Language Models Perform Robust Reasoning in Chain-of-Thought Prompting with Noisy Rationales? Zhanke Zhou, Rong Tao, Jianing Zhu, Yiwen Luo, Zengmao Wang, Bo Han

ICLRW 2024 Can Large Language Models Reason Robustly with Noisy Rationales? Zhanke Zhou, Rong Tao, Jianing Zhu, Yiwen Luo, Zengmao Wang, Bo Han

NeurIPSW 2024 DeepInception: Hypnotize Large Language Model to Be Jailbreaker Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, Bo Han

ICML 2024 Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han

ICLR 2024 Less Is More: One-Shot Subgraph Reasoning on Large-Scale Knowledge Graphs Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han

NeurIPS 2024 Mind the Gap Between Prototypes and Images in Cross-Domain Finetuning Hongduan Tian, Feng Liu, Zhanke Zhou, Tongliang Liu, Chengqi Zhang, Bo Han

ICLR 2024 Neural Atoms: Propagating Long-Range Interaction in Molecular Graphs Through Efficient Communication Channel Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han

TMLR 2024 Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao, Zhanke Zhou, Zhicong Li, Bo Han, Yong Liu

NeurIPS 2023 Combating Bilateral Edge Noise for Robust Link Prediction Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han

NeurIPSW 2023 Long-Range Neural Atom Learning for Molecular Graphs Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han

ICML 2023 On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han