Chacha Chen

According to our database, Chacha Chen authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang

CoRR, 2024

OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning.

Jiaqi Ma, Vivian Lai, Yiming Zhang, Chacha Chen, Paul Hamilton, Davor Ljubenkov, Himabindu Lakkaraju, Chenhao Tan

CoRR, 2024

2023

Machine Explanations and Human Understanding.

Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan

Trans. Mach. Learn. Res., 2023

Selective Explanations: Leveraging Human Input to Align Explainable AI.

Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan

Proc. ACM Hum. Comput. Interact., 2023

Pragmatic Radiology Report Generation.

Dang Nguyen, Chacha Chen, He He, Chenhao Tan

Proceedings of the Machine Learning for Health, 2023

Learning Human-Compatible Representations for Case-Based Decision Support.

Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems.

Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Using a neural network - Physics-based hybrid model to predict soil reaction fronts.

Tao Wen, Chacha Chen, Guanjie Zheng, Joel Bandstra, Susan L. Brantley

Comput. Geosci., 2022

Learning to Rank Visual Stories From Human Ranking Data.

Chi-Yang Hsu, Yun-Wei Chu, Vincent Chen, Kuan-Chieh Lo, Chacha Chen, Ting-Hao Huang, Lun-Wei Ku

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.

Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao

Proceedings of the WWW '21: The Web Conference 2021, 2021

Knowledge-based Residual Learning.

Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Rebuilding City-Wide Traffic Origin Destination from Road Speed Data.

Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners' Interactions.

Jiaqi Wang, Hua Shen, Chacha Chen, Frank E. Ritter

Proceedings of the AsianCHI '21: 5th Asian CHI Symposium, 2021

What Makes A Good Reference Manager? A Quantitative Analysis of Bibliography Management Applications.

Tongan Cai, Chacha Chen, Ting-Hao Huang, Frank E. Ritter

Proceedings of the AsianCHI '21: 5th Asian CHI Symposium, 2021

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

CoRR, 2020

Learning to Simulate on Sparse Trajectory Data.

Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 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

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

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, Zhenhui Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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, Zhenhui Li

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

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, Zhenhui Li

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019