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Zhuo Li
Zhuo Li
The Chinese University of Hong Kong, Shenzhen
Verificeret mail på link.cuhk.edu.cn
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Graph Enhanced Contrastive Learning for Radiology Findings Summarization
J Hu*, Z Li*, Z Chen, Z Li, X Wan, TH Chang
ACL2022, 2022
512022
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
482021
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
262022
Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
J Gao, H Zhao, Z Li, D Guo
NeurIPS2023, 2023
212023
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
192022
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
92023
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
72018
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
22024
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
2024
Atoxia: Red-teaming Large Language Models with Target Toxic Answers
Y Du*, Z Li*, P Cheng, X Wan, A Gao
NAACL25, 2024
2024
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
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