Publications
Thanks to all my amazing collaborators!
(* denotes equal contribution)
2023
ClusterLLM: Large Language Models as a Guide for Text Clustering
Yuwei Zhang, Zihan Wang, Jingbo Shang
To Appear in The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) (Long Paper), Singapore, December 2023.
Toward Unsupervised Realistic Visual Question Answering
Yuwei Zhang *, Chih-Hui Ho *, Nuno Vasconcelos
To Appear in Proceedings of 2023 International Conference on Computer Vision (ICCV), Paris, October 2023.
2022
Haode Zhang, Haowen Liang, Yuwei Zhang, Liming Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y.S. Lam
To Appear in Proceedings of 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) (Long Paper), July 2022. (Oral Presentation)
New Intent Discovery with Pre-training and Contrastive Learning
Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y.S. Lam
To Appear in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL) (Long Paper), May 2022
Jing Li *, Yuwei Zhang *, Qing Chen, Zhenhua Pan, Jun Chen, Meixiu Sun, Junfeng Wang, Yingxin Li, Qing Ye
Frontiers in Oncology
Automated Calculation of Liquid Crystal Sensing Images Based on Deep Learning
Yuwei Zhang *, Shuai Xu *, Ronghua Zhang, Zhichao Deng, Yin Liu, Jianguo Tian, Li Yu, Qiongzheng Hu, Qing Ye
Analytical Chemistry
Research on assistant diagnosis of fundus optic neuropathy based on deep learning
Chengjin Wang *, Yuwei Zhang *, Shuai Xu, Yuyan Liu, Lindan Xie, Changlong Wu, Qianhui Yang, Yanhua Chu, Qing Ye
Current Eye Research
2021
Effectiveness of Pre-training for Few-shot Intent Classification
Haode Zhang *, Yuwei Zhang *, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, Albert Y.S. Lam
To Appear in Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings) (Short Paper), November 2021.
KuraNet: Systems of Coupled Oscillators that Learn to Synchronize
Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre.
arXiv 2021