| 2025 | AAAI | Eliciting Causal Abilities in Large Language Models for Reasoning Tasks. | Yajing Wang, Zongwei Luo, Jingzhe Wang, Zhanke Zhou, Yongqiang Chen, Bo Han |
| 2025 | COLING | Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models. | Xinyu Pang, Ruixin Hong, Zhanke Zhou, Fangrui Lv, Xinwei Yang, Zhilong Liang, Bo Han, Changshui Zhang |
| 2025 | EMNLP | SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas. | Anjiang Wei, Yuheng Wu, Yingjia Wan, Tarun Suresh, Huanmi Tan, Zhanke Zhou, Sanmi Koyejo, Ke Wang, Alex Aiken |
| 2025 | ICLR | Noisy Test-Time Adaptation in Vision-Language Models. | Chentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han |
| 2025 | ICLR | Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond. | Qizhou Wang, Jin Peng Zhou, Zhanke Zhou, Saebyeol Shin, Bo Han, Kilian Q. Weinberger |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. | Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han |
| 2024 | ICML | Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection. | Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han |
| 2023 | ICML | On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. | Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han |
| 2023 | KDD | AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning. | Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han |
| 2022 | ACL | Efficient Hyper-parameter Search for Knowledge Graph Embedding. | Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li |
| 2020 | VTC | Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning. | Lyutianyang Zhang, Hao Yin, Zhanke Zhou, Sumit Roy, Yaping Sun |