Educational Background：

• 2002–2007: Ph.D. in Computer Application Technology, Institute of Computing Technology, Chinese Academy of Sciences (Full-time)
• 1998–2002: B.S. in Computer Science and Technology, China University of Geosciences (Wuhan) (Full-time)

Work Experience：

• 2025–Present: Professor, Shenzhen Loop Area Institute
• 2018–Present: Professor, School of Computer Science and Technology, Tianjin University
• 2013–2018: Professor, School of Computer Science and Technology, Soochow University
• 2007–2013: Research Scientist, Institute for Infocomm Research, Singapore

Xiong Deyi, Professor at Tianjin University, Chief Scientist of a National Key R&D Program project, Director of the Tianjin "Belt and Road" Joint Laboratory for Language Intelligence and Technology, and concurrently Executive Dean of the School of Computer and Information Engineering at Tianjin Normal University.

His main research interests include Natural Language Processing, with a particular focus on Large Language Models, Machine Translation, AI Alignment and Safety, and AI for Science. He has published over 200 papers in renowned international journals and conferences such as IEEE TPAMI, AI, AAAI, and ACL. He has also authored one monograph each in Chinese and English, and led or participated in the development of multiple standards related to large language models.

He has established provincial/ministerial-level platforms for scientific and technological innovation cooperation, and has undertaken more than 30 national, provincial/ministerial, and commissioned research projects. He has received multiple Best Long Paper / Outstanding Paper awards at top international conferences in the field of Natural Language Processing. He serves as Area Chair for several prestigious international conferences including NeurIPS and ACL, Action Editor for TACL and CL, and Associate Editor for ACM TALLIP.

1. Dan Shi, Zhuowen Han, Deyi Xiong. Multilingual Safety Alignment via Representation-Space Separability. ICML 2026.
2. Pengyun Zhu, Yuqi Ren, Zhen Wang, Lei Yang, Deyi Xiong. DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping. ACL 2026.
3. Xiaoyu Xiong, Yuqi Ren, Deyi Xiong. EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery. ACL 2026.
4. Yongqi Leng and Deyi Xiong. Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons. COLING 2025. [Best Long Paper]
5. Yuqi Ren, Renren Jin, Tongxuan Zhang and Deyi Xiong. Do Large Language Models Mirror Cognitive Language Processing? COLING 2025. [Outstanding Paper]
6. Linhao Yu, Xingguang Ji, Yahui Liu, Fanheng Kong, Chenxi Sun, Jingyuan Zhang, Hongzhi Zhang, Wei Bi, Fuzheng Zhang, Deyi Xiong. Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search. ACL 2025.
7. Xinwei Wu, Weilong Dong, Renren Jin and Deyi Xiong. Machine Unlearning for LLM Privacy Protection with Feature-Level Anonymization Activation Steering. TACL.
8. Dan Shi, Renren Jin, Tianhao Shen, Weilong Dong, Xinwei Wu, Deyi Xiong. IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons. NeurIPS 2024.
9. Dan Shi, Chaobin You, Jiantao Huang, Taihao Li, Deyi Xiong. CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models. AAAI 2024.
10. Zhiyuan Zeng, Deyi Xiong. SCoMoE: Efficient Mixtures of Experts with Structured Communication. ICLR 2023.

Books：

1. Deyi Xiong and Min Zhang. Linguistically Motivated Statistical Machine Translation: Models and Algorithms. Springer. 2015. ISBN 978-981-10-1365-2.
2. Deyi Xiong, Liangyou Li and Meng Zhang. Neural Machine Translation: Foundations, Principles, Practices and Frontiers(in Chinese). Electronic Industry Press. 2022.