| 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 | 125 | 2023 |
| 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 | 49* | 2022 |
| Enhancing WiFi multiple access performance with federated deep reinforcement learning L Zhang, H Yin, Z Zhou, S Roy, Y Sun VTC2020-Fall, 2020 | 43 | 2020 |
| AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding Y Zhang, Z Zhou, Q Yao CoRR, 2021 | 22* | 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 | 21 | 2023 |
| Efficient hyper-parameter search for knowledge graph embedding Y Zhang, Z Zhou, Q Yao, Y Li ACL 2022 Long Paper, 2022 | 21* | 2022 |
| 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 | 12 | 2024 |
| 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 | 11 | 2023 |
| 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 | 7* | 2024 |
| Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales? Z Zhou, R Tao, J Zhu, Y Luo, Z Wang, B Han NeurIPS 2024, 2024 | 3* | 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 | 2 | 2024 |
| Model Inversion Attacks: A Survey of Approaches and Countermeasures Z Zhou*, J Zhu*, F Yu*, X Li, X Peng, T Liu, B Han arXiv preprint arXiv:2411.10023, 2024 | 1 | 2024 |
| Understanding Fairness Surrogate Functions in Algorithmic Fairness W Yao*, Z Zhou*, Z Li, B Han, Y Liu TMLR, 2024 | 1 | 2024 |
| Eliciting Causal Abilities in Large Language Models for Reasoning Tasks Y Wang, Z Luo, J Wang, Z Zhou, Y Chen, B Han AAAI 2025, 2025 | | 2025 |
| Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models X Pang, R Hong, Z Zhou, F Lv, X Yang, Z Liang, B Han, C Zhang COLING 2025, 2025 | | 2025 |
| Mind the Gap Between Prototypes and Images in Cross-domain Finetuning H Tian, F Liu, Z Zhou, T Liu, C Zhang, B Han NeurIPS 2024, 2024 | | 2024 |
| Noisy Test-Time Adaptation in Vision-Language Models C Cao, Z Zhong, Z Zhou, T Liu, Y Liu, K Zhang, B Han The Thirteenth International Conference on Learning Representations, 0 | | |
Bo HanHKBU / RIKENcomp.hkbu.edu.hk의 이메일 확인됨