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Xiaopeng Li 0002
Person information
- affiliation: Hong Kong University of Science and Technology, HKUST-NIE Social Media Lab, Hong Kong
Other persons with the same name
- Xiaopeng Li (aka: Xiao-Peng Li, Xiao Peng Li) — disambiguation page
- Xiaopeng Li 0001 — University of South Carolina, Department of Computer Science, Columbia, SC, USA
- Xiaopeng Li 0003 — State Grid, Sichuan Electric Power Research Institute, China
- Xiaopeng Li 0004 — Inner Mongolia University, School of Mathematical Sciences, China
- Xiao Peng Li 0005 (aka: Xiao-Peng Li 0005, Xiaopeng Li 0005) — City University of Hong Kong, Hong Kong
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2020 – today
- 2024
- [j4]Soneya Binta Hossain, Nan Jiang, Qiang Zhou, Xiaopeng Li, Wen-Hao Chiang, Yingjun Lyu, Hoan Anh Nguyen, Omer Tripp:
A Deep Dive into Large Language Models for Automated Bug Localization and Repair. Proc. ACM Softw. Eng. 1(FSE): 1471-1493 (2024) - [i8]Soneya Binta Hossain, Nan Jiang, Qiang Zhou, Xiaopeng Li, Wen-Hao Chiang, Yingjun Lyu, Hoan Anh Nguyen, Omer Tripp:
A Deep Dive into Large Language Models for Automated Bug Localization and Repair. CoRR abs/2404.11595 (2024) - [i7]Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras:
Training LLMs to Better Self-Debug and Explain Code. CoRR abs/2405.18649 (2024) - 2023
- [c10]Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta:
A Static Evaluation of Code Completion by Large Language Models. ACL (industry) 2023: 347-360 - [c9]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. ACL (2) 2023: 782-792 - [c8]Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang:
ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) 2023: 6436-6459 - [c7]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati:
Multi-lingual Evaluation of Code Generation Models. ICLR 2023 - [c6]Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang:
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE 2023: 224-236 - [i6]Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang:
Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR abs/2303.05378 (2023) - [i5]Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
A Static Evaluation of Code Completion by Large Language Models. CoRR abs/2306.03203 (2023) - [i4]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. CoRR abs/2307.02435 (2023) - 2022
- [i3]Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang:
ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR abs/2210.01185 (2022) - [i2]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
Multi-lingual Evaluation of Code Generation Models. CoRR abs/2210.14868 (2022)
2010 – 2019
- 2018
- [j3]Jiqing Wen, James She, Xiaopeng Li, Hui Mao:
Visual Background Recommendation for Dance Performances Using Deep Matrix Factorization. ACM Trans. Multim. Comput. Commun. Appl. 14(1): 11:1-11:19 (2018) - 2017
- [j2]Ming Cheung, Xiaopeng Li, James She:
An Efficient Computation Framework for Connection Discovery using Shared Images. ACM Trans. Multim. Comput. Commun. Appl. 13(4): 58:1-58:21 (2017) - [j1]Xiaopeng Li, Ming Cheung, James She:
A Distributed Streaming Framework for Connection Discovery Using Shared Videos. ACM Trans. Multim. Comput. Commun. Appl. 13(4): 59:1-59:24 (2017) - [c5]Xiaopeng Li, James She:
Collaborative Variational Autoencoder for Recommender Systems. KDD 2017: 305-314 - [c4]Xiaopeng Li, James She:
Relational Variational Autoencoder for Link Prediction with Multimedia Data. ACM Multimedia (Thematic Workshops) 2017: 93-100 - 2016
- [c3]Xiaopeng Li, Ming Cheung, James She:
Connection discovery using shared images by Gaussian relational topic model. IEEE BigData 2016: 931-936 - [c2]Jiqing Wen, Xiaopeng Li, James She, Soochang Park, Ming Cheung:
Visual Background Recommendation for Dance Performances Using Dancer-Shared Images. iThings/GreenCom/CPSCom/SmartData 2016: 521-527 - [i1]Xiaopeng Li, Ming Cheung, James She:
Connection Discovery using Shared Images by Gaussian Relational Topic Model. CoRR abs/1612.03639 (2016) - 2015
- [c1]Ming Cheung, James She, Xiaopeng Li:
Non-user Generated Annotation on User Shared Images for Connection Discovery. DSDIS 2015: 204-209
Coauthor Index
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last updated on 2024-11-07 20:28 CET by the dblp team
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