Deepinception: Hypnotize large language model to be jailbreaker X Li, Z Zhou, J Zhu, J Yao, T Liu, B Han arXiv preprint arXiv:2311.03191, 2023 | 37 | 2023 |
Enhancing WiFi multiple access performance with federated deep reinforcement learning L Zhang, H Yin, Z Zhou, S Roy, Y Sun VTC2020-Fall, 2020 | 32 | 2020 |
Adaprop: Learning adaptive propagation for graph neural network based knowledge graph reasoning Y Zhang, Z Zhou, Q Yao, X Chu, B Han KDD 2023, 2022 | 20* | 2022 |
Efficient hyper-parameter search for knowledge graph embedding Y Zhang, Z Zhou, Q Yao, Y Li ACL 2022 Long Paper, 2022 | 17* | 2022 |
AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding Y Zhang, Z Zhou, Q Yao CoRR, 2021 | 17* | 2021 |
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation Z Zhou, C Zhou, X Li, J Yao, Q Yao, B Han ICML 2023, 2023 | 12 | 2023 |
Combating bilateral edge noise for robust link prediction Z Zhou, J Yao, J Liu, X Guo, Q Yao, L He, L Wang, B Zheng, B Han NeurIPS 2023, 2023 | 6* | 2023 |
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection C Cao, Z Zhong, Z Zhou, Y Liu, T Liu, B Han ICML 2024, 2024 | | 2024 |
Can Large Language Models Reason Robustly with Noisy Rationales? Z Zhou, R Tao, J Zhu, Y Luo, Z Wang, B Han ICLR 2024 Workshop on Reliable and Responsible Foundation Models, 2024 | | 2024 |
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel X Li, Z Zhou, J Yao, Y Rong, L Zhang, B Han ICLR 2024, 2024 | | 2024 |
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs Z Zhou, Y Zhang, J Yao, Q Yao, B Han ICLR 2024, 2024 | | 2024 |
Understanding Fairness Surrogate Functions in Algorithmic Fairness W Yao, Z Zhou, Z Li, B Han, Y Liu TMLR, 2024 | | 2024 |