Xiaopeng Li

Orcid: 0000-0003-4916-1131

Affiliations:
  • Hong Kong University of Science and Technology, HKUST-NIE Social Media Lab, Hong Kong


According to our database1, Xiaopeng Li authored at least 21 papers between 2015 and 2024.

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

Timeline

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2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
A Deep Dive into Large Language Models for Automated Bug Localization and Repair.
Proc. ACM Softw. Eng., 2024

Learning Code Preference via Synthetic Evolution.
CoRR, 2024

Training LLMs to Better Self-Debug and Explain Code.
CoRR, 2024

LeDex: Training LLMs to Better Self-Debug and Explain Code.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
A Static Evaluation of Code Completion by Large Language Models.
CoRR, 2023

Greener yet Powerful: Taming Large Code Generation Models with Quantization.
CoRR, 2023

Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023


Exploring Continual Learning for Code Generation Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

ContraCLM: Contrastive Learning For Causal Language Model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Static Evaluation of Code Completion by Large Language Models.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022
Multi-lingual Evaluation of Code Generation Models.
CoRR, 2022

ContraGen: Effective Contrastive Learning For Causal Language Model.
CoRR, 2022

2018
Visual Background Recommendation for Dance Performances Using Deep Matrix Factorization.
ACM Trans. Multim. Comput. Commun. Appl., 2018

2017
A Distributed Streaming Framework for Connection Discovery Using Shared Videos.
ACM Trans. Multim. Comput. Commun. Appl., 2017

An Efficient Computation Framework for Connection Discovery using Shared Images.
ACM Trans. Multim. Comput. Commun. Appl., 2017

Relational Variational Autoencoder for Link Prediction with Multimedia Data.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

Collaborative Variational Autoencoder for Recommender Systems.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Visual Background Recommendation for Dance Performances Using Dancer-Shared Images.
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

Connection discovery using shared images by Gaussian relational topic model.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Non-user Generated Annotation on User Shared Images for Connection Discovery.
Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015


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