Hongda Sun

Hongda Sun

PhD of Artificial Intelligence

Gaoling School of Artificial Intelligence, Renmin University of China

Hongda Sun is a Ph.D. candidate of Gaoling School of Artificial Intelligence (GSAI), Renmin University of China. In 2020, he was recommended for GSAI as a direct doctoral student, supervised by Dr. Rui Yan. His research works have been published in NeurIPS and AAAI. Now his major interests are in AI for science, machine learning and natural language processing. He can be reached at sunhongda98@ruc.edu.cn.

Experience

 
 
 
 
 
PhD Candidate
Renmin University of China
September 2020 – Present Beijing
Researching AI for science, machine learning and natural language processing.
 
 
 
 
 
Intern
Microsoft Asia Research
June 2021 – December 2021 Beijing
Participating in AI for science research projects, especially in drug discovery, including drug-target interaction prediction and biological pre-trained models.

Recent Publications

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Hongda Sun, Quan Tu, Jinpeng Li, Rui Yan (2023). ConvNTM: Conversational Neural Topic Model. In AAAI.

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Hongda Sun, Shufang Xie, Shuqi Li, Yuhan Chen, Ji-Rong Wen, Rui Yan (2022). Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records. In NeurIPS.

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Jinpeng Li, Yingce Xia, Rui Yan, Hongda Sun, Dongyan Zhao, Tie-Yan Liu (2021). Stylized Dialogue Generation with Multi-Pass Dual Learning. In NeurIPS.

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Contact

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