Author

Xiaopeng Li

Observed names: Li Xiaopeng, Li, Xiaopeng

Institutions: National University of Defense Technology, Yunnan University

Observed institutions: University of North Carolina at Chapel Hill, Amazon (United States), University of Illinois Urbana-Champaign, National University of Defense Technology, Yunnan University, Hong Kong University of Science and Technology

ORCID: 0000-0003-4916-1131

Observed ORCID: 0000-0003-4916-1131

OpenAlex ID: A5026532411

Collaborative Variational Autoencoder for Recommender Systems

2017 · Xiaopeng Li, James She · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 460

A Deep Dive into Large Language Models for Automated Bug Localization and Repair

2024 · Soneya Binta Hossain, Nan Jiang, et al. · Proceedings of the ACM on software engineering. · 84

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Not All Attention Is Needed: Gated Attention Network for Sequence Data

2020 · Lanqing Xue, Xiaopeng Li, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 43

Learning to Abstract for Memory-augmented Conversational Response Generation

2019 · Zhiliang Tian, Wei Bi, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 43

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Multi-lingual Evaluation of Code Generation Models

2022 · Athiwaratkun, Ben, Gouda, Sanjay Krishna, et al. · arXiv (Cornell University) · 38

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Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering

2018 · Li, Xiaopeng, Chen, Zhourong, et al. · arXiv (Cornell University) · 38

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Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study

2023 · Xiaokai Wei, Sujan Kumar Gonugondla, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 31

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LeDex: Training LLMs to Better Self-Debug and Explain Code

2024 · Nan Jiang, Xiaopeng Li, et al. · neural information processing systems · 13

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Exploring Continual Learning for Code Generation Models

2023 · Prateek Yadav, Qing Sun, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 13

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Visual Background Recommendation for Dance Performances Using Deep Matrix Factorization

2018 · Jiqing Wen, James She, et al. · ACM Transactions on Multimedia Computing Communications and Applications · 13

Connection discovery using shared images by Gaussian relational topic model

2016 · Xiaopeng Li, Ming Cheung, et al. · IEEE International Conference on Big Data (BigData) · 11

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An Efficient Computation Framework for Connection Discovery using Shared Images

2017 · Ming Cheung, Xiaopeng Li, et al. · ACM Transactions on Multimedia Computing Communications and Applications · 10

Visual Background Recommendation for Dance Performances Using Dancer-Shared Images

2016 · Jiqing Wen, Xiaopeng Li, et al. · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · 9

A Static Evaluation of Code Completion by Large Language Models

2023 · Hantian Ding, Varun Kumar, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 8

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Non-user Generated Annotation on User Shared Images for Connection Discovery

2015 · Ming Cheung, James She, et al. · IEEE International Conference on Data Science and Data Intensive Systems · 8

ContraCLM: Contrastive Learning For Causal Language Model

2023 · Nihal Jain, Dejiao Zhang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 6

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Relational Variational Autoencoder for Link Prediction with Multimedia Data

2017 · Xiaopeng Li, James She · Thematic Workshops of ACM Multimedia · 3

Socratic Human Feedback (SoHF): Expert Steering Strategies for LLM Code Generation

2024 · Subramanian Chidambaram, Li Erran Li, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 2