About me

I am an assistant professor at the School of Intelligent Science and Technology, Nanjing University. From 2020 to 2025, I studied at THUNLP, and obtained Ph.D. in Engineering from the Deparment of Computer Science and Technology, Tsinghua University.

My research interest currently includes AI for Science and Large Language Models. If you are interested in applying for 26 Fall Master or 27 Fall PhD, please contact me via e-mail. I look forward to exploring the application of large models in scientific scenarios with you.

Main Publications

2025

• Mingyan Wu, Zhenghao Liu, Yukun Yan, Xinze Li, Shi Yu, Zheni Zeng, Yu Gu, Ge Yu. RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts. ACL 2025
• Shuliang Liu, Xinze Li, Zhenghao Liu, Yukun Yan, Cheng Yang, Zheni Zeng, Zhiyuan Liu, Maosong Sun, Ge Yu Judge as a judge: Improving the evaluation of retrieval-augmented generation through the judge-consistency of large language models. ACL 2025 Findings

2024

• Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Xuanhe Zhou, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Guoliang Li, Zhiyuan Liu, Maosong Sun. Tool learning with foundation models. ACM Computing Surveys
• Zheni Zeng, Bangchen Yin, Shipeng Wang, Jiarui Liu, Cheng Yang, Haishen Yao, Xingzhi Sun, Maosong Sun, Guotong Xie, Zhiyuan Liu. 2023. Interactive Molecular Discovery with Natural Language. Bioinformatics
• Yilei Han, Haoye Zhang, Zheni Zeng, Zhiyuan Liu, Diannan Lu, Zheng Liu. Descriptor-augmented machine learning for enzyme-chemical interaction predictions. * Synthetic and Systems Biotechnology*
• Chenyang Song*, Zheni Zeng*, Changyao Tian, Kuai Li, Yuan Yao, Suncong Zheng, Zhiyuan Liu, Maosong Sun. Relation-aware deep neural network enables more efficient biomedical knowledge acquisition from massive literature. AI Open

2023

• Zheni Zeng*, Yi-Chen Nie*, Ning Ding*, Qian-Jun Ding, Wei-Ting Ye, Cheng Yang, Maosong Sun, E Weinan, Rong Zhu and Zhiyuan Liu. 2023. Transcription between human-readable synthetic descriptions and machine-executable instructions: an application of the latest pre-training technology. Chemical Science
• Zheni Zeng, Zhiyuan Liu, Yankai Lin, Maosong Sun. 2023. Biomedical Knowledge Representation Learning. * Representation Learning for Natural Language Processing*

2022

• Zheni Zeng*, Yuan Yao*, Zhiyuan Liu and Maosong Sun. 2022. A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals. Nature Communications

2021

• Zheni Zeng*, Chaojun Xiao*, Yuan Yao, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin and Maosong Sun. 2021. Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. Frontiers Big Data

• Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter. 2021. Robotic Occlusion Reasoning for Efficient Object Existence Prediction. IEEE IROS

• He Huang, Zheni Zeng, Danya Yao, Xin Pei and Yi Zhang. 2021. Spatial-temporal ConvLSTM for vehicle driving intention prediction. Tsinghua Science and Technology

2020

• He Huang, Zheni Zeng, Yifan Shangguan, Danya Yao and Jiangling Du. 2020. A Framework for Driving Intention Estimation in Real-World Scenarios. CICTP 2020

• Yanru Huang, Feiyu Zhu, Zheni Zeng, Xi Qiu, Yuan Shen and Jianan Wu. 2020. SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking. CVPR 2020

Preprints

• Zheni Zeng, Jiayi Chen, Huimin Chen, Yukun Yan, Yuxuan Chen, Zhenghao Liu, Zhiyuan Liu, Maosong Sun. Persllm: A personified training approach for large language models
• Zheni Zeng*, Yuxuan Chen*, Shi Yu, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun. KBAlign: Efficient Self Adaptation on Specific Knowledge Bases

* indicates equal contribution.

Social Service

• TA:
  • Natural Language Processing, 2021-2025.
  • Writing and Communication - Artificial Intelligence, 2020-2024.
  • Large Model Open Class (OpenBMB x THUNLP), 2022-2024.

Awards

PhD

• Outstanding graduates of Department of Computer Science. 2025.
• Outstanding Paper Award of Tsinghua Science and Technology. 2024.

Bachelor

• Outstanding graduates of Beijing. 2020.
• Outstanding graduates of Tsinghua. 2020.
• Excellent member of C.Y.L China in Tsinghua. 2019.
• Person of the year in Department of Automation, Tsinghua. 2018.
• Excellent student leader of Tsinghua. 2017
• National Scholarship in 2017.
• Comprehensive Excellence Award in 2016-2017 , 2017-2018, 2018-2019.