News


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.

Hande Dong 

Senior AI Researcher

Tencent

Shenzhen, China

Email: donghd66 AT gmail.com
CVCV(CN)Google ScholarGithub

I am now a senior researcher at Tencent, mainly responsible for the model training and development of Tencent Cloud AI Code Assistant. My work revolves around large language model, including pretraining, post-training, prompt engineering, RAG, etc. Also, I am interested in data mining, such as graph neural network and recommendation system.

Work Experiences

Senior Researcher, Tencent, 2023.08-today
Working Area: large language model, code intelligence, multi-modal, RAG, etc.
Product: Tencent Cloud AI Code Assistant
Algorithm Engineer, International Digital Economy Academy, 2022.07-2023.08
Working Area: code understanding and generation, pretrained language model, large language model

Education

University of Science and Technology of China (USTC)
Master in School of Information Science and Technology                   2019.09 - 2022.06
Advisor: Prof. Xiangnan He
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


Training Code LLMs: Practical Experiments with CodeBuddy
Hande Dong
QE-Con 2025   • Slides

Selected Publications


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
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
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
AutoDebias: Learning to Debias for Recommendation
Jiawei Chen*, Hande Dong*, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang
SIGIR 2021 (Full, Accept rate: 21%)   • arXiv   • Codes   • Slides   * Co-first author
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 (Full, Accept rate: 20.6%)   • arXiv   • Codes   • Slides

Honors in University

Outstanding graduates, 2022.06
University of Science and Technology of China, master degree
Character and academic outstanding graduates, 2019.06
Anhui Province, bachelor degree
Outstanding graduates, 2019.06
University of Science and Technology of China, bachelor degree
Outstanding student leaders, 2018.05
University of Science and Technology of China, bachelor degree

Webpage template borrows from Xiangnan He.