My Research
Publications
Meng Zhou, Xin Li, Yue Jiang, Lidong Bing. Enhancing Cross-lingual Prompting with Dual Prompt Augmentation
ACL 2023 Findings
Meng Zhou, Zechen Li, Pengtao Xie. Self-supervised Regularization for Text Classification
TACL 2021
Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric Xing, Pengtao Xie. On the Generation of Medical Dialogs for COVID-19
ACL 2021
Jie Ren, Mingjie Li, Meng Zhou, Shi-han Chan, Quanshi Zhang. Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
ICML 2022
Guangtao Zeng, Wenmian Yang, Zeqian Ju, Yue Yang, Sicheng Wang, Ruisi Zhang, Meng Zhou, Jiaqi Zeng, Xiangyu Dong, Ruoyu Zhang, Hongchao Fang, Penghui Zhu, Shu Chen, Pengtao Xie. MedDialog: Large-scale Medical Dialogue Datasets
EMNLP 2020
Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang. Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness
NeurIPS 2021
Hongchao Fang, Sicheng Wang, Meng Zhou, Jiayuan Ding, Pengtao Xie. CERT: Contrastive Self-supervised Learning for Language Understanding
arXiv 2005.12766
Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Lidong Bing, Wai Lam, Luo Si. From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader
arXiv 2212.04755
Academic Services
I served as a PC member for:
- NeurIPS 2022, 2023
- ICML 2022
- AAAI 2021
- NAACL 2021
- ACL 2022
- ACL Rolling Review
- ICLR 2021 workshop “Machine Learning for Preventing and Combating Pandemics”
It's always fun to learn more about the latest interesting problems that people are working with...