About me

I am a PhD student (2020-) from the Deparment of Computer Science and Technology, Tsinghua University. I am supervised by Prof. Zhiyuan Liu.

My research interest currently includes Pre-training Language Model, Biomedical Text Processing and Cross Modal Learning.

Publications

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*

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

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

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

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.

* indicates equal contribution.

TA:
- Natural Language Processing, 2021-2023.
- Writing and Communication - Artificial Intelligence, 2020-2023.