Zhanke Zhou

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Reasoning Process

Graph Embedding

Top Venues

Publications

Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. CoRR (2024)
Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. ICLR (2024)
Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel. ICLR (2024)
Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection. CoRR (2024)
Wei Yao, Zhanke Zhou, Zhicong Li, Bo Han, Yong Liu
Understanding Fairness Surrogate Functions in Algorithmic Fairness. Trans. Mach. Learn. Res. 2024 (2024)
Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, LI He, Liang Wang, Bo Zheng, Bo Han
Combating Bilateral Edge Noise for Robust Link Prediction. NeurIPS (2023)
Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. CoRR (2023)
Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han
Long-Range Neural Atom Learning for Molecular Graphs. CoRR (2023)
Wei Yao, Zhanke Zhou, Zhicong Li, Bo Han, Yong Liu
Understanding Fairness Surrogate Functions in Algorithmic Fairness. CoRR (2023)
Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. ICML (2023)
Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, Bo Han
DeepInception: Hypnotize Large Language Model to Be Jailbreaker. CoRR (2023)
Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han
Combating Bilateral Edge Noise for Robust Link Prediction. CoRR (2023)
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han
AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning. KDD (2023)
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han
Learning Adaptive Propagation for Knowledge Graph Reasoning. CoRR (2022)
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li
KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning. CoRR (2022)
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li
Efficient Hyper-parameter Search for Knowledge Graph Embedding. ACL (1) (2022)
Yongqi Zhang, Zhanke Zhou, Quanming Yao
AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding. CoRR (2021)
Lyutianyang Zhang, Hao Yin, Zhanke Zhou, Sumit Roy, Yaping Sun
Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning. CoRR (2021)
Lyutianyang Zhang, Hao Yin, Zhanke Zhou, Sumit Roy, Yaping Sun
Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning. VTC Fall (2020)
Lianghui Zhu, Zhanke Zhou, Zhaochuan Peng, Xiaojun Hei
Accelerating Spectrum Sharing Algorithms for Cognitive Radio Transmitters in a Momentum Q-Learning Approach. SimuTools (1) (2020)