| Graph Enhanced Contrastive Learning for Radiology Findings Summarization J Hu*, Z Li*, Z Chen, Z Li, X Wan, TH Chang ACL2022, 2022 | 55 | 2022 |
| Overcoming long-term catastrophic forgetting through adversarial neural pruning and synaptic consolidation J Peng, B Tang, H Jiang, Z Li, Y Lei, T Lin, H Li IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4243-4256, 2021 | 51 | 2021 |
| Learning to re-weight examples with optimal transport for imbalanced classification D Guo, Z Li, M Zheng, H Zhao, M Zhou, H Zha NeurIPS2022, 2022 | 29 | 2022 |
| Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification J Gao, H Zhao, Z Li, D Guo NeurIPS2023, 2023 | 22 | 2023 |
| Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases Z Yuan*, X Yan*, Z Li*, X Li, Y Guo, S Cui, Z Li arXiv preprint arXiv:2207.01821, 2022 | 19 | 2022 |
| A Simple yet Effective Subsequence-Enhanced Approach for Cross-Domain NER J Hu, D Guo, Y Liu, Z Li, Z Chen, X Wan, TH Chang AAAI 2023, 2023 | 10 | 2023 |
| Overcoming catastrophic forgetting by soft parameter pruning J Peng, J Hao, Z Li, E Guo, X Wan, D Min, Q Zhu, H Li arXiv preprint arXiv:1812.01640, 2018 | 7 | 2018 |
| Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs Z Li*, Y Du*, J Hu, X Wan, A Gao arXiv preprint arXiv:2409.01552, 2024 | 2 | 2024 |
| Atoxia: Red-teaming Large Language Models with Target Toxic Answers Y Du*, Z Li*, P Cheng, X Wan, A Gao NAACL25, 2024 | 2* | 2024 |
| Extracting clean and balanced subset for noisy long-tailed classification Z Li, H Zhao, Z Li, T Liu, D Guo, X Wan arXiv preprint arXiv:2404.06795, 2024 | 2 | 2024 |
| Simplify RLHF as Reward-Weighted SFT: A Variational Method Y Du*, Z Li*, P Cheng*, Z Chen, Y Xie, X Wan, A Gao arXiv preprint arXiv:2502.11026, 2025 | 1 | 2025 |
| Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm Z Li, Y Du, X Jiao, Y Guo, Y Feng, X Wan, A Gao, J Hu arXiv preprint arXiv:2503.02359, 2025 | | 2025 |
| Prototype-oriented Clean Subset Extraction for Noisy Long-tailed Classification Z Li, H Zhao, A Gao, D Guo, TH Chang, X Wan IEEE Transactions on Circuits and Systems for Video Technology, 2025 | | 2025 |
| Cognitive-Visual Fusion for Target Classification in Rapid SAR Image Series Visual Presentation W Zhou*, Z Li*, X Wan, R Zhang, L Qu, Z Li, K Yin 2021 CIE International Conference on Radar (Radar), 3232-3236, 2021 | | 2021 |
| Understanding the Importance of Single Directions via Representative Substitution L Chen, H Ding, Q Li, Z Li, J Peng, H Li arXiv preprint arXiv:1811.11053, 2018 | | 2018 |
Xiang WanShenzhen Research Institute of Big DataBestätigte E-Mail-Adresse bei sribd.cn
