CoLight: Learning Network-level Cooperation for Traffic Signal Control. - Hua Wei 001; Nan Xu; Huichu Zhang; Guanjie Zheng; Xinshi Zang; Chacha Chen; Weinan Zhang 001; Yanmin Zhu 006; Kai Xu 014; Zhenhui Li (CIKM, 2019)

PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. - Hua Wei 001; Chacha Chen; Guanjie Zheng; Kan Wu; Vikash V. Gayah; Kai Xu 014; Zhenhui Li (KDD, 2019)

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. - Chacha Chen; Hua Wei 001; Nan Xu; Guanjie Zheng; Ming Yang; Yuanhao Xiong; Kai Xu 014; Zhenhui Li (AAAI, 2020)

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling. - Chacha Chen; Chieh-Yang Huang; Yaqi Hou; Yang Shi; Enyan Dai; Jiaqi Wang 002 (W-NUT@EMNLP, 2020)

Learning to Simulate on Sparse Trajectory Data. - Hua Wei 001; Chacha Chen; Chang Liu 021; Guanjie Zheng; Zhenhui Li (ECML/PKDD (4), 2020)

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text. - Chacha Chen; Chieh-Yang Huang; Yaqi Hou; Yang Shi; Enyan Dai; Jiaqi Wang 002 (CoRR, 2020)

What Makes A Good Reference Manager? A Quantitative Analysis of Bibliography Management Applications. - Tongan Cai; Chacha Chen; Ting-Hao Huang; Frank E. Ritter (AsianCHI@CHI, 2021)

Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners' Interactions. - Jiaqi Wang 002; Hua Shen; Chacha Chen; Frank E. Ritter (AsianCHI@CHI, 2021)

Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. - Guanjie Zheng; Chang Liu 021; Hua Wei 001; Chacha Chen; Zhenhui Li (ICDE, 2021)

Knowledge-based Residual Learning. - Guanjie Zheng; Chang Liu 021; Hua Wei 001; Porter Jenkins; Chacha Chen; Tao Wen 006; Zhenhui Li (IJCAI, 2021)

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. - Chacha Chen; Junjie Liang; Fenglong Ma; Lucas Glass; Jimeng Sun 001; Cao Xiao (WWW, 2021)

Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies. - Vivian Lai; Chacha Chen; Q. Vera Liao; Alison Smith-Renner; Chenhao Tan (CoRR, 2021)

Learning to Rank Visual Stories From Human Ranking Data. - Chi-Yang Hsu; Yun-Wei Chu; Vincent Chen; Kuan-Chieh Lo; Chacha Chen; Ting-Hao (Kenneth) Huang; Lun-Wei Ku (ACL (1), 2022)

Using a neural network - Physics-based hybrid model to predict soil reaction fronts. - Tao Wen 006; Chacha Chen; Guanjie Zheng; Joel Bandstra; Susan L. Brantley (Comput. Geosci., 2022)

Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. - Sandesh Swamy; Narges Tabari; Chacha Chen; Rashmi Gangadharaiah (EACL, 2023)

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies. - Vivian Lai; Chacha Chen; Alison Smith-Renner; Q. Vera Liao; Chenhao Tan (FAccT, 2023)

Learning Human-Compatible Representations for Case-Based Decision Support. - Han Liu; Yizhou Tian; Chacha Chen; Shi Feng 005; Yuxin Chen 001; Chenhao Tan (ICLR, 2023)

Pragmatic Radiology Report Generation. - Dang Nguyen 006; Chacha Chen; He He; Chenhao Tan (ML4H@NeurIPS, 2023)

Selective Explanations: Leveraging Human Input to Align Explainable AI. - Vivian Lai; Yiming Zhang 022; Chacha Chen; Q. Vera Liao; Chenhao Tan (Proc. ACM Hum. Comput. Interact., 2023)

Machine Explanations and Human Understanding. - Chacha Chen; Shi Feng 005; Amit Sharma 007; Chenhao Tan (Trans. Mach. Learn. Res., 2023)

OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning. - Jiaqi Ma 004; Vivian Lai; Yiming Zhang 022; Chacha Chen; Paul Hamilton; Davor Ljubenkov; Himabindu Lakkaraju; Chenhao Tan (CoRR, 2024)

The Use of Generative Search Engines for Knowledge Work and Complex Tasks. - Siddharth Suri; Scott Counts; Leijie Wang; Chacha Chen; Mengting Wan; Tara Safavi; Jennifer Neville; Chirag Shah 001; Ryen W. White; Reid Andersen; Georg Buscher; Sathish Manivannan; et al. (CoRR, 2024)

GPT-4V Cannot Generate Radiology Reports Yet. - Yuyang Jiang; Chacha Chen; Dang Nguyen 006; Benjamin M. Mervak; Chenhao Tan (NAACL (Findings), 2025)

Can Domain Experts Rely on AI Appropriately? A Case Study on AI-Assisted Prostate Cancer MRI Diagnosis. - Chacha Chen; Han Liu; Jiamin Yang; Benjamin M. Mervak; Bora Kalaycioglu; Grace Lee; Emre Cakmakli; Matteo Bonatti; Sridhar Pudu; Osman Kahraman; Gul Gizem Pamuk; Aytekin Oto; et al. (CoRR, 2025)

MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels. - Xiaoou Liu; Zhen Lin 001; Longchao Da; Chacha Chen; Shubhendu Trivedi; Hua Wei 001 (CoRR, 2025)

Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey. - Xiaoou Liu; Tiejin Chen; Longchao Da; Chacha Chen; Zhen Lin 001; Hua Wei 001 (CoRR, 2025)

CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation. - Yuyang Jiang; Chacha Chen; Shengyuan Wang; Feng Liu 011; Zecong Tang; Benjamin M. Mervak; Lydia Chelala; Christopher M. Straus; Reve Chahine; Samuel G. Armato III; Chenhao Tan (CoRR, 2025)