Chacha Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Reinforcement Learning

Human Intelligence

Trajectory Data

Top Venues

Publications

Yuyang Jiang, Chacha Chen, Dang Nguyen, Benjamin M. Mervak, Chenhao Tan
GPT-4V Cannot Generate Radiology Reports Yet. CoRR (2024)
Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
The Use of Generative Search Engines for Knowledge Work and Complex Tasks. CoRR (2024)
Jiaqi Ma, Vivian Lai, Yiming Zhang, Chacha Chen, Paul Hamilton, Davor Ljubenkov, Himabindu Lakkaraju, Chenhao Tan
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning. CoRR (2024)
Vivian Lai, Chacha Chen, Alison Smith-Renner, Q. Vera Liao, Chenhao Tan
Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies. FAccT (2023)
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
Machine Explanations and Human Understanding. Trans. Mach. Learn. Res. 2023 (2023)
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
Machine Explanations and Human Understanding. FAccT (2023)
Dang Nguyen, Chacha Chen, He He, Chenhao Tan
Pragmatic Radiology Report Generation. CoRR (2023)
Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan
Selective Explanations: Leveraging Human Input to Align Explainable AI. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah
Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. EACL (2023)
Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan
Selective Explanations: Leveraging Human Input to Align Explainable AI. CoRR (2023)
Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan
Learning Human-Compatible Representations for Case-Based Decision Support. ICLR (2023)
Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah
Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. CoRR (2023)
Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan
Learning Human-Compatible Representations for Case-Based Decision Support. CoRR (2023)
Dang Nguyen, Chacha Chen, He He, Chenhao Tan
Pragmatic Radiology Report Generation. ML4H@NeurIPS (2023)
Tao Wen, Chacha Chen, Guanjie Zheng, Joel Bandstra, Susan L. Brantley
Using a neural network - Physics-based hybrid model to predict soil reaction fronts. Comput. Geosci. 167 (2022)
Chi-Yang Hsu, Yun-Wei Chu, Vincent Chen, Kuan-Chieh Lo, Chacha Chen, Ting-Hao Huang, Lun-Wei Ku
Learning to Rank Visual Stories From Human Ranking Data. ACL (1) (2022)
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
Machine Explanations and Human Understanding. CoRR (2022)
Tongan Cai, Chacha Chen, Ting-Hao Huang, Frank E. Ritter
What Makes A Good Reference Manager? A Quantitative Analysis of Bibliography Management Applications. AsianCHI@CHI (2021)
Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li
Knowledge-based Residual Learning. IJCAI (2021)
Jiaqi Wang, Hua Shen, Chacha Chen, Frank E. Ritter
Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners' Interactions. AsianCHI@CHI (2021)
Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li
Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. ICDE (2021)
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW (2021)
Vivian Lai, Chacha Chen, Q. Vera Liao, Alison Smith-Renner, Chenhao Tan
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies. CoRR (2021)
Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
Learning to Simulate on Sparse Trajectory Data. CoRR (2021)
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. CoRR (2020)
Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text. CoRR (2020)
Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling. W-NUT@EMNLP (2020)
Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. AAAI (2020)
Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) (2020)
Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
CoLight: Learning Network-level Cooperation for Traffic Signal Control. CoRR (2019)
Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li
PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. KDD (2019)
Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li
CoLight: Learning Network-level Cooperation for Traffic Signal Control. CIKM (2019)