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, Large Language Models, Machine Translation, Multimodal Pretrained Model, Story Comprehension, Retrieval-Augmented Generation

Publications

2026

- Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling. (Preprint)
Chulun Zhou*, Chunkang Zhang*, Guoxin Yu, Fandong Meng, Jie Zhou, Wai Lam, Mo Yu.

2025

- PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts. (Preprint)
Mo Yu, Tsz Ting Chung, Chulun Zhou*, Tong Li, Rui Lu, Jiangnan Li, Liyan Xu, Haoshu Lu, Ning Zhang, Jing Li, Jie Zhou.
- The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters. (ACL 2025)
Chulun Zhou*, Qiujing Wang*, Mo Yu, Xiaoqian Yue, Rui Lu, Jiangnan Li, Yifan Zhou, Shunchi Zhang, Jie Zhou, Wai Lam.

2023

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

2022

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

2021

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

2020

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

2019

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

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: Huggingface, Deepspeed, Fairseq
Language Proficiency: Chinese Mandarin (Native), English (Advanced), Japanese (Basic)