About me

I am a third-year PhD student (2021–present) in the Computer Science Department at The University of Hong Kong, under the supervision of Prof. Heming Cui. I also closely collaborated with Dr. Jie M.Zhang, Dr. Zhijiang Guo, Dr. Xiaofei Xie, and Dr. Junjie Chen.

Before my current program, I earned a Bachelor of Engineering degree from Huazhong University of Science and Technology with honors.

I am broadly interested in code generation tasks, such as Multi-Agent Code Generation, Correctness, Efficiency, Fairness of LLM-generated Code, and Reasoning in Code. Before that, I was focusing on the Trust AI systems, specifically in the development of testing techniques for deep learning systems. For my previous work and current code generation works, I prefer naming them as testing (e.g., testing the security, correctness, efficiency, and fairness).

You can find my CV here: Dong’s CV

Please do not hesitate to contact me if you have any questions regarding my work or if you are interested in discussing research topics!

News

• Looking for strong graduate/undergraduate to collaborate. Please reach out if yoou are interested.
• Sep 26, 2024: Our paper "SOAP (EffiLearner): Enhancing Efficiency of generated Code via Self-Optimization" was accepted by NeurIPS.
• Sep 26, 2024: Our paper "EffiBench: Benchmarking the Efficiency of Automatically Generated Code" was accepted by NeurIPS.
• July 27, 2024: Our paper "Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability" was accepted by ISSRE.
• May 9, 2024: Our paper "Neuron Sensitivity Guided Test Case Selection" was accepted by TOSEM.
• January 29, 2024: Our paper "AGRNav: Efficient and Energy-Saving Autonomous Navigation for Air-Ground Robots in Occlusion-Prone Environments" was accepted by ICRA'24.
• January 16, 2024: Our paper "Adversarial Feature Map Pruning for Backdoor" was accepted by ICLR'24.
• July 18, 2023: One paper "Towards building more robust models with frequency bias" was accepted by ICCV'23.

Publications (✝ refers to the corresponding author)

Preprint

• Rethinking the Influence of Source Code on Test Case Generation Dong Huang, Jie M. Zhang, Mingzhe Du, Mark Harman, Heming Cui arXiv preprint arXiv:2409.09464

• Agentcoder: Multi-agent-based code generation with iterative testing and optimisation
  Dong HUANG, Qingwen Bu, Jie M Zhang, Michael Luck, Heming Cui
  arXiv preprint arXiv:2312.13010

• Bias assessment and mitigation in llm-based code generation
  Dong HUANG, Qingwen Bu, Jie Zhang, Xiaofei Xie, Junjie Chen, Heming Cui
  arXiv preprint arXiv:2309.14345

• CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation
  Dong HUANG, Qingwen Bu, Yuhao Qing, Heming Cui
  arXiv preprint arXiv:2308.08784

• Feature Map Testing for Deep Neural Networks
  Dong HUANG, Qingwen Bu, Yahao Qing, Yichao Fu, Heming Cui
  arXiv preprint arXiv:2307.11563

• Two Heads are Better than One: Robust Learning Meets Multi-branch Models
  Dong HUANG, Qingwen Bu, Yuhao Qing, Haowen Pi, Sen Wang, Heming Cui
  arXiv preprint arXiv:2208.08083

Conference

• [NeurIPS’24] SOAP (EffiLearner): Enhancing Efficiency of generated Code via Self-Optimization
  Dong HUANG, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Jie M. Zhang, Heming Cui, and Zhijiang Guo
  arXiv preprint arXiv:2405.15189

• [NeurIPS’24] EffiBench: Benchmarking the Efficiency of Automatically Generated Code
  Dong HUANG, Yuhao Qing, Weiyi Shang, Heming Cui, Jie M.Zhang
  arXiv preprint arXiv:2402.02037

• [ISSRE’24] Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability
  Dong HUANG, Li Tsz On, Xiaofei Xie, Heming Cui
  arXiv preprint arXiv:2405.09314

• [ICLR’24] Adversarial Feature Map Pruning for Backdoor
  Dong HUANG, Qingwen Bu, Heming Cui
  In: The Twelfth International Conference on Learning Representations, Messe Wien Exhibition and Congress Center, Vienna Austria May 7th, 2024 to May 11th, 2024

• [ICCV’23] Towards building more robust models with frequency bias
  Qingwen Bu, Dong HUANG✝, Heming Cui
  In: Proceedings of the IEEE/CVF International Conference on Computer Vision, PARIS, October 2 - 6, 2023
  Corresponding Author

• [ICRA’24] AGRNav: Efficient and Energy-Saving Autonomous Navigation for Air-Ground Robots in Occlusion-Prone Environments Junming Wang, Zekai Sun, Xiuxian Guan, Tianxiang Shen, Zongyuan Zhang, Tianyang Duan, Dong Huang, Shixiong Zhao, Heming Cui
  arXiv preprint arXiv:2403.11607

Journal

• [TOSEM’24] Neuron Sensitivity Guided Test Case Selection
  Dong HUANG, Qingwen Bu, Yichao Fu, Yuhao Qing, Xiaofei Xie, Junjie Chen, Heming Cui
  In: ACM Transactions on Software Engineering and Methodology, 2024

• [TPDS’21] vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training
  Shixiong Zhao, Fanxin Li, Xusheng Chen, Xiuxian Guan, Jianyu Jiang, Dong Huang, Yuhao Qing, Sen Wang, Peng Wang, Gong Zhang, Cheng Li, Ping Luo, Heming Cui
  In: IEEE Transactions on Parallel and Distributed Systems, 2021

Work Experience

• Research Intern @: HUAWEI Theory Lab, Hong Kong (2022), working with Qintao Hu and Sen Wang
• Research Intern @: HUAWEI Noah's Ark Lab, Shenzhen (2024), working with Jianbo Dai and Zhijiang Guo

Services

• Reviewers: ICLR (2025) ICASSP (2024, 2025), NeurIPS (2024), NeurIPS Dataset and Benchmark Track (2024), ACL ARR (e.g., NAACL, EMNLP, ACL) (2024)

Research Mentoring

I am fortunate to be working with the following talented students and interns:

• Qingwen Bu: Undergrad at HUST, to PhD at SJTU-PJLab
• Junming Wang: Mphil at HKU, to Horizon Robotics
• Zhiguang Han: Undergrad at NTU
• Weng Han: Master at BUPT
• Puzhen Wu: Undergrad at UCD

Media Coverage

Artificial Intelligence Index Report 2024 - Stanford University, The latest on global AI development, Build Your Own Devin!

Teaching

• COMP7506 A: Smart phone apps development, Spring 2024
• COMP7506 B: Smart phone apps development, Spring 2024

Education

• The University of Hong Kong: 2021-Current
• Huazhong Univeristy of Science and Technology: 2017-2021