Xiaopeng Li

25 papers A* 4Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks.
CoRR
Yaojie Hu, Qiang Zhou, Qihong Chen, Xiaopeng Li, Linbo Liu, Dejiao Zhang, Amit Kachroo, Talha Oz, Omer Tripp
2024 J jnl
A Deep Dive into Large Language Models for Automated Bug Localization and Repair.
CoRR
Soneya Binta Hossain, Nan Jiang, Qiang Zhou, Xiaopeng Li, Wen-Hao Chiang, Yingjun Lyu, Hoan Anh Nguyen, Omer Tripp
2024 J jnl
A Deep Dive into Large Language Models for Automated Bug Localization and Repair.
Proc. ACM Softw. Eng.
Soneya Binta Hossain, Nan Jiang, Qiang Zhou, Xiaopeng Li, Wen-Hao Chiang, Yingjun Lyu, Hoan Anh Nguyen, Omer Tripp
2024 A* conf
LeDex: Training LLMs to Better Self-Debug and Explain Code.
NeurIPS
Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras
2024 J jnl
Learning Code Preference via Synthetic Evolution.
CoRR
Jiawei Liu, Thanh Nguyen, Mingyue Shang, Hantian Ding, Xiaopeng Li, Yu Yu, Varun Kumar, Zijian Wang
2024 J jnl
Training LLMs to Better Self-Debug and Explain Code.
CoRR
Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras
2023 — conf
A Static Evaluation of Code Completion by Large Language Models.
ACL (industry)
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
2023 J jnl
A Static Evaluation of Code Completion by Large Language Models.
CoRR
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
2023 — conf
ContraCLM: Contrastive Learning For Causal Language Model.
ACL (1)
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
2023 — conf
Exploring Continual Learning for Code Generation Models.
ACL (2)
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
2023 J jnl
Exploring Continual Learning for Code Generation Models.
CoRR
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
2023 J jnl
Greener yet Powerful: Taming Large Code Generation Models with Quantization.
CoRR
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
2023 A* conf
Multi-lingual Evaluation of Code Generation Models.
ICLR
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
2023 — conf
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study.
ESEC/SIGSOFT FSE
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
2022 J jnl
ContraGen: Effective Contrastive Learning For Causal Language Model.
CoRR
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
2022 J jnl
Multi-lingual Evaluation of Code Generation Models.
CoRR
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
2018 J jnl
Visual Background Recommendation for Dance Performances Using Deep Matrix Factorization.
ACM Trans. Multim. Comput. Commun. Appl.
Jiqing Wen, James She, Xiaopeng Li, Hui Mao
2017 J jnl
A Distributed Streaming Framework for Connection Discovery Using Shared Videos.
ACM Trans. Multim. Comput. Commun. Appl.
Xiaopeng Li, Ming Cheung, James She
2017 J jnl
An Efficient Computation Framework for Connection Discovery using Shared Images.
ACM Trans. Multim. Comput. Commun. Appl.
Ming Cheung, Xiaopeng Li, James She
2017 A* conf
Collaborative Variational Autoencoder for Recommender Systems.
KDD
Xiaopeng Li, James She
2017 A* conf
Relational Variational Autoencoder for Link Prediction with Multimedia Data.
ACM Multimedia (Thematic Workshops)
Xiaopeng Li, James She
2016 J jnl
Connection Discovery using Shared Images by Gaussian Relational Topic Model.
CoRR
Xiaopeng Li, Ming Cheung, James She
2016 — conf
Connection discovery using shared images by Gaussian relational topic model.
IEEE BigData
Xiaopeng Li, Ming Cheung, James She
2016 — conf
Visual Background Recommendation for Dance Performances Using Dancer-Shared Images.
iThings/GreenCom/CPSCom/SmartData
Jiqing Wen, Xiaopeng Li, James She, Soochang Park, Ming Cheung
2015 — conf
Non-user Generated Annotation on User Shared Images for Connection Discovery.
DSDIS
Ming Cheung, James She, Xiaopeng Li