Chacha Chen


PhD student

Chicago Human+AI lab
Department of Computer Science
University of Chicago


Chacha Chen, with long hair

[Google Scholar] [Twitter] [CV]


I am a PhD student in Computer Science at UChicago, advised by Chenhao Tan.

My research interests focus on human-centered AI, at the intersection of machine learning, computational social science, and human-computer interaction.


The University of Chicago

       PhD in Computer Science,   Aug. 2021 to current

       Advisor: Chenhao Tan

The Pennsylvania State University

       Master in Informatics,   Aug. 2019 to Dec. 2020

       Advisor: Ting-Hao (Kenneth) Huang and Zhenhui (Jessie) Li

Shanghai Jiao Tong University

       B.S in Computer Science,   Sep. 2015 to Jun. 2019

       Advisor: Weinan Zhang and Zhenhui (Jessie) Li


IQVIA, Analytics Center of Excellence, Boston, MA, US

       Machine Learning Research Intern,   Summer 2020

       Mentors: Cao (Danica) Xiao (IQVIA), Prof. Fenglong Ma (PSU), and Prof. Jimeng Sun (UIUC)

CityBrain Lab, Tiangrang Inc, Hangzhou, China

       Machine Learning Research Intern,   Aug. 2018 to Aug 2019

       Mentor: Zhenhui (Jessie) Li


Conference Papers

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao
In Proceedings of the Web Conference 2021 (WWW 2021)
[Paper] [Slides]

Rebuilding City-Wide Traffic from Multi-Source Data.
Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li
In Proceedings of 37th IEEE International Conference on Data Engineering (ICDE 2021)

ImIn-GAIL: Learning to Simulate with Imitation-Interpolation on Sparse Trajectory Data
Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng and Zhenhui Li
In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020)
Best Applied Data Science Paper Award
[Paper] [Code]

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu and Zhenhui Li
In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)
[Paper] [Code]

CoLight: Learning Network-level Cooperation for Traffic Signal Control
Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu and Zhenhui Li
In Proceedings of the 2019 ACM on Conference on Information and Knowledge Management (CIKM 2019)
[Paper] [Code]

PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network
Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu and Zhenhui Li
In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019)
[Paper] [Code]

Workshop Papers

What Makes A Good Reference Manager? A Quantitative Analysis of Bibliography Management Applications.
Tongan Cai*, Chacha Chen*, Ting-Hao K. Huang, Frank E. Ritter
Asian CHI Symposium 2021 (AsianCHI2021)
Best Paper Award

IN-MOOC: Guidelines for Improving MOOC Platform Interactions
Jiaqi Wang, Hua Shen, Chacha Chen, Frank E. Ritter
Asian CHI Symposium 2021 (AsianCHI2021)

Physics-informed Generative Adversarial Networks
Chacha Chen, Guanjie Zheng, Hua Wei, Zhenhui Li
In Proceedings of the NeurIPS Workshop on Interpretable Inductive Biases and Physically Structured Learning (NeurIPS 2020)

Joint Event Multi-task Learning for Slot Filling in Noisy Text
Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
In Proceedings of the Workshop on Noisy User-generated Text (W-NUT, EMNLP 2020)
[Paper] [Code]

Deep Reinforcement Learning for Traffic Signal Control along Arterials
Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu and Zhenhui Li
In Proceedings of the Workshop on Deep Reinforcement Learning for Knowledge Discovery (DRL4KDD, KDD 2019)

Teaching Experience

2020 Fall Teaching Assistant IST 261 (Java Course): Application Development Design Studio I