Zhanke Zhou

According to our database, Zhanke Zhou authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

2024

Understanding Fairness Surrogate Functions in Algorithmic Fairness.

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

Trans. Mach. Learn. Res., 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

CoRR, 2024

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

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

CoRR, 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

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