I am a PhD student at CUHK Text-Mining Group, supervised by Prof. Lam Wai. Previously, I worked as a researcher in Pattern Recognition Center, WeChat AI, Tencent Inc, Beijing (2022-2023). Before that, I received my B.S. degree (2015-2019) and M.S. degree (2019-2022) from Xiamen University, supervised by Prof. Su Jinsong.

Research Fields

Natural Language Processing, Controllable Text Generation, Machine Translation, Multimodal Pretrained Model

Publications

2023

- Liang Zhang*, Chulun Zhou*, Fandong Meng, Jinsong Su, Yidong Chen, Jie Zhou. HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction. EMNLP 2023.
- Chulun Zhou, Yunlong Liang, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang, Jinsong Su. A Multi-Task Multi-Stage Transitional Training Framework for Neural Chat Translation. TPAMI.
- Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su, Jie Zhou. RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training. ACL 2023 Findings.

2022

- Zhongjian Miao, Xiang Li, Liyan Kang, Wen Zhang, Chulun Zhou, Yidong Chen, Bin Wang, Min Zhang, Jinsong Su. Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch Training. COLING 2022.
- Hui Jiang, Ziyao Lu, Fandong Meng, Chulun Zhou, Jie Zhou, Degen Huang, Jinsong Su. Towards Robust k-Nearest-Neighbor Machine Translation. EMNLP 2022.
- Yunlong Liang, Fandong Meng, Chulun Zhou, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou. A Variational Hierarchical Model for Neural Cross-Lingual Summarization. EMNLP 2022.
- Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su. Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation. ACL 2022.
- Chulun Zhou, Zhihao Wang, Shaojie He, Haiying Zhang, Jinsong Su. A Novel Multi-domain Machine Reading Comprehension Model with Domain Interference Mitigation. Neurocomputing.

2021

- Yunlong Liang*, Chulun Zhou*, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su and Jie Zhou. Towards Making the Most of Dialogue Characteristics for Neural Chat Translation. EMNLP 2021.
- Hui Jiang*, Chulun Zhou*, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su. Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. ACL 2021.

2020

- Chulun Zhou, Liangyu Chen, Jiachen Liu, Xinyan Xiao, Jinsong Su, Sheng Guo, Hua Wu. Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer. ACL 2020.
- Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou, Jiebo Luo. A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation. ACL 2020.
- Junxuan Chen, Xiang Li, Jiarui Zhang, Chulun Zhou, Jianwei Cui, Bin Wang, Jinsong Su. Modeling Discourse Structure for Document-level Neural Machine Translation. ACL 2020 Workshop.
- Yongjing Yin, Shaopeng Lai, Linfeng Song, Chulun Zhou, Xianpei Han, Junfeng Yao and Jinsong Su. An External Knowledge Enhanced Graph-based Neural Network for Sentence Ordering. JAIR.
- Jinsong Su, Jinchang Chen, Hui Jiang, Chulun Zhou, Huan Lin, Yubin Ge, Qingqiang Wu and Yongxuan Lai. Multi-modal Neural Machine Translation with Deep Semantic Interactions. Information Science.

2019

- Yongjing Yin, Linfeng Song, Jinsong Su, Jiali Zeng, Chulun Zhou and Jiebo Luo. Graph-based Neural Sentence Ordering. IJCAI 2019.

Awards

- Cao Dewang Scholarship, Xiamen University, 2022
- 2020 Annual Tencent Rhino-Bird Elite Training Program, Breakthrough Award(top 10%), Tencent, 2021
- Postgraduate First Prize Scholarship (Huawei Scholarship, No. 1), Xiamen University, 2020
- Undergraduate Academic First Prize Scholarship, Xiamen University, 2019
- Undergraduate Academic First Prize Scholarship, Xiamen University, 2018
- China Undergraduate Mathematical Contest in Modeling, Provincial First Prize, 2017
- The NXP Cup National Unversity Students Intelligent Car Race, Provincial First Prize (No. 1), 2017
- Undergraduate Academic First Prize Scholarship，Xiamen University, 2017
- Undergraduate Academic First Prize Scholarship，Xiamen University, 2016

Skills

Programming: Python, C++
Tools for NLP/DL: Fairseq, Huggingface, Deepspeed
Language Proficiency: Chinese Mandarin (Native), English (Advanced), Japanese (Basic)