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Xingyao Wang 0002
Person information
- affiliation: University of Illinois Urbana-Champaign, Urbana, IL, USA
- affiliation (former): University of Michigan, Ann Arbor, MI, USA
Other persons with the same name
- Xingyao Wang 0001 — Southeast University, School of Instrument Science and Engineering, State Key Laboratory of Bioelectronics, Nanjing, China
- Xingyao Wang 0003 — Shandong University, Institute of Marine Science and Technology, Qingdao, China
- Xingyao Wang 0004 — China University of Geosciences, School of Geography and Information Engineering, Wuhan, China
- Xingyao Wang 0005 — Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore
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2020 – today
- 2024
- [j4]Qian Li, Xingyao Wang, Hongxiang Gao, Rongjun Ge, Jianqing Li, Chengyu Liu:
An Attribute-Decoupled Model for Onset Identification of Atrial Fibrillation in Single-Lead Electrocardiograms. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j3]Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Zhipeng Cai, Lulu Zhao, Jianqing Li, Chengyu Liu:
Graph Convolutional Network With Connectivity Uncertainty for EEG-Based Emotion Recognition. IEEE J. Biomed. Health Informatics 28(10): 5917-5928 (2024) - [c14]Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao:
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. EMNLP 2024: 5985-5998 - [c13]Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji:
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. ICLR 2024 - [c12]Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji:
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. ICLR 2024 - [c11]Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji:
Executable Code Actions Elicit Better LLM Agents. ICML 2024 - [c10]Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji:
LETI: Learning to Generate from Textual Interactions. NAACL-HLT (Findings) 2024: 223-239 - [c9]Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang:
R-Tuning: Instructing Large Language Models to Say 'I Don't Know'. NAACL-HLT 2024: 7113-7139 - [i19]Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R. Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, Heng Ji, Chengxiang Zhai:
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents. CoRR abs/2401.00812 (2024) - [i18]Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji:
Executable Code Actions Elicit Better LLM Agents. CoRR abs/2402.01030 (2024) - [i17]Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun:
Advancing LLM Reasoning Generalists with Preference Trees. CoRR abs/2404.02078 (2024) - [i16]Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji:
Text-Based Reasoning About Vector Graphics. CoRR abs/2404.06479 (2024) - [i15]Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao:
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. CoRR abs/2405.20974 (2024) - [i14]Yangyi Chen, Xingyao Wang, Hao Peng, Heng Ji:
A Single Transformer for Scalable Vision-Language Modeling. CoRR abs/2407.06438 (2024) - [i13]Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig:
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. CoRR abs/2407.16741 (2024) - 2023
- [j2]Xingyao Wang, Yuwen Li, Hongxiang Gao, Xianghong Cheng, Jianqing Li, Chengyu Liu:
A Causal Intervention Scheme for Semantic Segmentation of Quasi-Periodic Cardiovascular Signals. IEEE J. Biomed. Health Informatics 27(7): 3175-3186 (2023) - [j1]Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Jianqing Li, Chengyu Liu:
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning. IEEE J. Biomed. Health Informatics 27(11): 5225-5236 (2023) - [c8]Xingyao Wang, Sha Li, Heng Ji:
Code4Struct: Code Generation for Few-Shot Event Structure Prediction. ACL (1) 2023: 3640-3663 - [c7]Yangyi Chen, Xingyao Wang, Heng Ji:
Making Pre-trained Language Models both Task-solvers and Self-calibrators. ACL (Findings) 2023: 9845-9862 - [c6]Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi Ren Fung, Charles Yu, Joel R. Tetreault, Eduard H. Hovy, Heng Ji:
Defining a New NLP Playground. EMNLP (Findings) 2023: 11932-11951 - [c5]Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji:
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. EMNLP 2023: 13342-13357 - [i12]Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji:
LeTI: Learning to Generate from Textual Interactions. CoRR abs/2305.10314 (2023) - [i11]Yangyi Chen, Xingyao Wang, Heng Ji:
Making Pre-trained Language Models both Task-solvers and Self-calibrators. CoRR abs/2307.11316 (2023) - [i10]Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji:
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. CoRR abs/2309.10691 (2023) - [i9]Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi R. Fung, Hao Peng, Heng Ji:
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. CoRR abs/2309.17428 (2023) - [i8]Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi R. Fung, Charles Yu, Joel R. Tetreault, Eduard H. Hovy, Heng Ji:
Defining a New NLP Playground. CoRR abs/2310.20633 (2023) - [i7]Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang:
R-Tuning: Teaching Large Language Models to Refuse Unknown Questions. CoRR abs/2311.09677 (2023) - [i6]Genglin Liu, Xingyao Wang, Lifan Yuan, Yangyi Chen, Hao Peng:
Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown. CoRR abs/2311.09731 (2023) - [i5]Yangyi Chen, Xingyao Wang, Manling Li, Derek Hoiem, Heng Ji:
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation. CoRR abs/2311.13258 (2023) - 2022
- [c4]Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Apostolos Dedeloudis, Jackson Sargent, David Jurgens:
POTATO: The Portable Text Annotation Tool. EMNLP (Demos) 2022: 327-337 - [i4]Xingyao Wang, Sha Li, Heng Ji:
Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language. CoRR abs/2210.12810 (2022) - [i3]Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Jackson Sargent, Apostolos Dedeloudis, David Jurgens:
POTATO: The Portable Text Annotation Tool. CoRR abs/2212.08620 (2022) - 2021
- [c3]Xingyao Wang, David Jurgens:
An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog. EMNLP (Findings) 2021: 3228-3257 - [c2]Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu:
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters. MLSys 2021 - [i2]Xingyao Wang, David Jurgens:
An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog. CoRR abs/2109.12212 (2021) - 2020
- [c1]Xingyao Wang, Da Yan, Ke Chen, Yancong Deng, Cheng Long, Kunlin Zhang, Sibo Yan:
Lane Extraction and Quality Evaluation: A Hough Transform Based Approach. MIPR 2020: 7-12 - [i1]Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu:
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters. CoRR abs/2010.10458 (2020)
Coauthor Index
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