Xingyao Wang

Orcid: 0000-0002-3483-8624

Affiliations:
  • University of Illinois Urbana-Champaign, Urbana, IL, USA
  • University of Michigan, Ann Arbor, MI, USA (former)


According to our database1, Xingyao Wang authored at least 27 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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5
10
15
8
4
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Links

Online presence:

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Bibliography

2024
Graph Convolutional Network With Connectivity Uncertainty for EEG-Based Emotion Recognition.
IEEE J. Biomed. Health Informatics, October, 2024

An Attribute-Decoupled Model for Onset Identification of Atrial Fibrillation in Single-Lead Electrocardiograms.
IEEE Trans. Instrum. Meas., 2024

Training Software Engineering Agents and Verifiers with SWE-Gym.
CoRR, 2024

OpenDevin: An Open Platform for AI Software Developers as Generalist Agents.
CoRR, 2024

A Single Transformer for Scalable Vision-Language Modeling.
CoRR, 2024

Text-Based Reasoning About Vector Graphics.
CoRR, 2024

Advancing LLM Reasoning Generalists with Preference Trees.
CoRR, 2024

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, 2024

R-Tuning: Instructing Large Language Models to Say 'I Don't Know'.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

LETI: Learning to Generate from Textual Interactions.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Executable Code Actions Elicit Better LLM Agents.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning.
IEEE J. Biomed. Health Informatics, November, 2023

A Causal Intervention Scheme for Semantic Segmentation of Quasi-Periodic Cardiovascular Signals.
IEEE J. Biomed. Health Informatics, July, 2023

Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown.
CoRR, 2023

R-Tuning: Teaching Large Language Models to Refuse Unknown Questions.
CoRR, 2023

Defining a New NLP Playground.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Making Pre-trained Language Models both Task-solvers and Self-calibrators.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Code4Struct: Code Generation for Few-Shot Event Structure Prediction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language.
CoRR, 2022

POTATO: The Portable Text Annotation Tool.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Lane Extraction and Quality Evaluation: A Hough Transform Based Approach.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020


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