Zhanke Zhou

According to our database, Zhanke Zhou authored at least 27 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Co-Reward: Self-supervised Reinforcement Learning for Large Language Model Reasoning via Contrastive Agreement.

Zizhuo Zhang, Jianing Zhu, Xinmu Ge, Zihua Zhao, Zhanke Zhou, Xuan Li, Xiao Feng, Jiangchao Yao, Bo Han

CoRR, August, 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

CoRR, June, 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

CoRR, June, 2025

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

CoRR, May, 2025

Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models.

Zhanke Zhou, Zhaocheng Zhu, Xuan Li, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han

CoRR, March, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Noisy Test-Time Adaptation in Vision-Language Models.

Chentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks.

Yajing Wang, Zongwei Luo, Jingzhe Wang, Zhanke Zhou, Yongqiang Chen, Bo Han

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Understanding Fairness Surrogate Functions in Algorithmic Fairness.

Wei Yao, Zhanke Zhou, Zhicong Li, Bo Han, Yong Liu

Trans. Mach. Learn. Res., 2024

Model Inversion Attacks: A Survey of Approaches and Countermeasures.

Zhanke Zhou, Jianing Zhu, Fengfei Yu, Xuan Li, Xiong Peng, Tongliang Liu, Bo Han

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Mind the Gap Between Prototypes and Images in Cross-domain Finetuning.

Hongduan Tian, Feng Liu, Zhanke Zhou, Tongliang Liu, Chengqi Zhang, Bo Han

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs.

Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DeepInception: Hypnotize Large Language Model to Be Jailbreaker.

Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, Bo Han

CoRR, 2023

Long-Range Neural Atom Learning for Molecular Graphs.

Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning.

Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation.

Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning Adaptive Propagation for Knowledge Graph Reasoning.

Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han

CoRR, 2022

KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning.

Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li

CoRR, 2022

Efficient Hyper-parameter Search for Knowledge Graph Embedding.

Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding.

Yongqi Zhang, Zhanke Zhou, Quanming Yao

CoRR, 2021

2020

Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning.

Lyutianyang Zhang, Hao Yin, Zhanke Zhou, Sumit Roy, Yaping Sun

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Accelerating Spectrum Sharing Algorithms for Cognitive Radio Transmitters in a Momentum Q-Learning Approach.

Lianghui Zhu, Zhanke Zhou, Zhaochuan Peng, Xiaojun Hei

Proceedings of the Simulation Tools and Techniques - 12th EAI International Conference, 2020