News
8 November 2025
Congratulations to my intern Jianqing Zhang! Our paper AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code is accepted by AAAI'26.
1 August 2025
Congratulations to my intern Jinke Li! Our paper UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models is accepted by ACMMM'25.
2 June 2025
Congratulations to my intern Tianyu Guo! Our paper EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse is accepted by EURO-PAR'25.
22 August 2023
I begin to work at Tencent, as a senior researcher.
15 July 2022
I begin my first work at International Digital Economy Academy (IDEA), as an algorithm engineer.
15 April 2021
One full paper is accepted by SIGIR'21, AutoDebias: Learning to Debias for Recommendation.
16 Jan 2021
One full paper is accepted by WWW'21, On the Equivalence of Decoupled GCN and Label Propagation.
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Hande Dong
Senior AI Researcher Shenzhen, China
Email: donghd66 AT gmail.com |
I am responsible for the product LLM R&D at Tencent CodeBuddy.
My expertise is centered around Large Language Models, spanning pre-training, post-training, and LLM Agent.
Currently, I am focused on leveraging the vast experience data generated by widely deployed Agent applications to enhance model capabilities.
Work Experiences
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Senior Researcher, Tencent, 2023.08-today Working Area: large language model, code intelligence, RAG, code agent, etc. Responsibilities: model research and development of CodeBuddy. Product: CodeBuddy. |
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Algorithm Engineer, International Digital Economy Academy, 2022.07-2023.08 Working Area: code understanding and generation, pretrained language model, large language model. |
Education
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University of Science and Technology of China (USTC) Master in School of Information Science and Technology 2019.09 - 2022.06 Advisor: Prof. Xiangnan He |
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University of Science and Technology of China (USTC) Bachelor in School of Physical Sciences 2015.08 - 2019.06 Chung-Yao Chao Talent Program in Applied Physics |
Selected Talks
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Training Code LLMs: Practical Experiments with CodeBuddy Hande Dong QE-Con 2025 • Slides |
Selected Publications
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Scheduling Your LLM Reinforcement Learning with Reasoning Trees
Hong Wang, Zhezheng Hao, Jian Luo, Chenxing Wei, Yao Shu, Lei Liu, Qiang Lin, Hande Dong, Jiawei Chen • arXiv • Corresponding author |
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Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective
Zhezheng Hao, Hong Wang, Haoyang Liu, Jian Luo, Jiarui Yu, Hande Dong, Qiang Lin, Can Wang, Jiawei Chen • arXiv • Codes • Corresponding author |
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AP2O: Correcting LLM-Generated Code Errors Type by Type Like Humans via Adaptive Progressive Preference Optimization
Jianqing Zhang, Wei Xia, Hande Dong, Qiang Lin, Jian Cao AAAI 2026 • arXiv • Codes |
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UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models
Jinke Li, Jiarui Yu, Chenxing Wei, Hande Dong, Qiang Lin, Liangjing Yang, Zhicai Wang, Yanbin Hao ACMMM 2025 dataset track • arXiv • Codes • Corresponding author |
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EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
Tianyu Guo, Hande Dong, Yichong Leng, Feng Liu, Cheater Lin, Nong Xiao, Xianwei Zhang EURO-PAR 2025 • arXiv • Codes • Corresponding author |
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Improving Code Search with Hard Negative Sampling Based on Fine-tuning
Hande Dong, Jiayi Lin, Yanlin Wang, Yichong Leng, Jiawei Chen, Yutao Xie APSEC 2024 • arXiv • Codes |
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Survey of Code Search based on Deep Learning
Yutao Xie, Jiayi Lin, Hande Dong, Lei Zhang, Zhonghai Wu ACM Transactions on Software Engineering and Methodology • arXiv |
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Bias and Debias in Recommender System: A Survey and Future Directions
Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He ACM Transactions on Information Systems • arXiv |
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AutoDebias: Learning to Debias for Recommendation Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang SIGIR 2021 • arXiv • Codes • Slides • Co-first author |
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On the Equivalence of Decoupled Graph Convolution Network and Label Propagation Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui WWW 2021 • arXiv • Codes • Slides |
Selected Honors & Awards
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GM Lightning Award, 2025.12, Tencent, 2% |
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Outstanding Mentor for New Employees, 2024, Tencent |
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Outstanding contributor, 2024.12, Tencent, 10% |
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Outstanding contributor, 2024.06, Tencent, 10% |
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Outstanding graduates, 2022.06, University of Science and Technology of China, 10% |
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Character and academic outstanding graduates, 2019.06, Anhui Province, 2% |
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Outstanding graduates, 2019.06, University of Science and Technology of China, 10% |
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Outstanding student leaders, 2018.05, University of Science and Technology of China |