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2020 – today
- 2024
[i13]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 abs/2403.05565 (2024)- [i12]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 abs/2404.04268 (2024) - [i11]Yuyang Jiang, Chacha Chen, Dang Nguyen, Benjamin M. Mervak, Chenhao Tan:
GPT-4V Cannot Generate Radiology Reports Yet. CoRR abs/2407.12176 (2024) - 2023
- [j3]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): 1-35 (2023) - [j2]Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan:
Machine Explanations and Human Understanding. Trans. Mach. Learn. Res. 2023 (2023) - [c16]Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah:
Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. EACL 2023: 3094-3103 - [c15]Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan:
Machine Explanations and Human Understanding. FAccT 2023: 1 - [c14]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: 1369-1385 - [c13]Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan:
Learning Human-Compatible Representations for Case-Based Decision Support. ICLR 2023 - [c12]Dang Nguyen, Chacha Chen, He He, Chenhao Tan:
Pragmatic Radiology Report Generation. ML4H@NeurIPS 2023: 385-402 - [i10]Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan:
Selective Explanations: Leveraging Human Input to Align Explainable AI. CoRR abs/2301.09656 (2023) - [i9]Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah:
Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. CoRR abs/2301.13268 (2023) - [i8]Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan:
Learning Human-Compatible Representations for Case-Based Decision Support. CoRR abs/2303.04809 (2023) - [i7]Dang Nguyen, Chacha Chen, He He, Chenhao Tan:
Pragmatic Radiology Report Generation. CoRR abs/2311.17154 (2023) - 2022
- [j1]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: 105200 (2022) - [c11]Chi-Yang Hsu, Yun-Wei Chu, Vincent Chen, Kuan-Chieh Lo, Chacha Chen, Ting-Hao (Kenneth) Huang, Lun-Wei Ku:
Learning to Rank Visual Stories From Human Ranking Data. ACL (1) 2022: 6365-6378 - [i6]Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan:
Machine Explanations and Human Understanding. CoRR abs/2202.04092 (2022) - 2021
- [c10]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: 64-69 - [c9]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: 215-220 - [c8]Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li:
Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. ICDE 2021: 301-312 - [c7]Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li:
Knowledge-based Residual Learning. IJCAI 2021: 1653-1659 - [c6]Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW 2021: 217-226 - [i5]Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Simulate on Sparse Trajectory Data. CoRR abs/2103.11845 (2021) - [i4]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 abs/2112.11471 (2021) - 2020
- [c5]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: 3414-3421 - [c4]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: 499-504 - [c3]Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) 2020: 530-545 - [i3]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 abs/2009.14262 (2020) - [i2]Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. CoRR abs/2010.11389 (2020)
2010 – 2019
- 2019
- [c2]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: 1913-1922 - [c1]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: 1290-1298 - [i1]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 abs/1905.05717 (2019)
Coauthor Index
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last updated on 2024-11-13 23:48 CET by the dblp team
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