Dong Huang

According to our database, Dong Huang authored at least 37 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

TRACY: Benchmarking Execution Efficiency of LLM-Based Code Translation.

Zhihao Gong, Zeyu Sun, Dong Huang, Qingyuan Liang, Jie M. Zhang, Dan Hao

CoRR, August, 2025

Benchmarking LLMs for Unit Test Generation from Real-World Functions.

Dong Huang, Jie M. Zhang, Mark Harman, Qianru Zhang, Mingzhe Du, See-Kiong Ng

CoRR, August, 2025

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction.

Qianru Zhang, Honggang Wen, Ming Li, Dong Huang, Siu-Ming Yiu, Christian S. Jensen, Pietro Liò

CoRR, June, 2025

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization.

Mingzhe Du, Luu Tuan Tuan, Yue Liu, Yuhao Qing, Dong Huang, Xinyi He, Qian Liu, Zejun Ma, See-Kiong Ng

CoRR, May, 2025

DS-Bench: A Realistic Benchmark for Data Science Code Generation.

Shuyin Ouyang, Dong Huang, Jingwen Guo, Zeyu Sun, Qihao Zhu, Jie M. Zhang

CoRR, May, 2025

EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code.

Yuhao Qing, Boyu Zhu, Mingzhe Du, Zhijiang Guo, Terry Yue Zhuo, Qianru Zhang, Jie M. Zhang, Heming Cui, Siu-Ming Yiu, Dong Huang, See-Kiong Ng, Luu Anh Tuan

CoRR, May, 2025

M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation.

Qianru Zhang, Liang Qu, Honggang Wen, Dong Huang, Siu-Ming Yiu, Nguyen Quoc Viet Hung, Hongzhi Yin

CoRR, May, 2025

Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks.

Zongyuan Zhang, Tianyang Duan, Zheng Lin, Dong Huang, Zihan Fang, Zekai Sun, Ling Xiong, Hongbin Liang, Heming Cui, Yong Cui, Yue Gao

CoRR, March, 2025

State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning.

Zongyuan Zhang, Tianyang Duan, Zheng Lin, Dong Huang, Zihan Fang, Zekai Sun, Ling Xiong, Hongbin Liang, Heming Cui, Yong Cui

CoRR, March, 2025

CodeArena: A Collective Evaluation Platform for LLM Code Generation.

Mingzhe Du, Anh Tuan Luu, Bin Ji, Xiaobao Wu, Dong Huang, Terry Yue Zhuo, Qian Liu, See-Kiong Ng

CoRR, March, 2025

OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robots in Dynamic Environments via State Space Model.

Junming Wang, Xiuxian Guan, Zekai Sun, Tianxiang Shen, Dong Huang, Fangming Liu, Heming Cui

IEEE Robotics Autom. Lett., February, 2025

Hecate: Unlocking Efficient Sparse Model Training via Fully Sharded Sparse Data Parallelism.

Yuhao Qing, Guichao Zhu, Fanxin Li, Lintian Lei, Zekai Sun, Xiuxian Guan, Shixiong Zhao, Xusheng Chen, Dong Huang, Sen Wang, Heming Cui

CoRR, February, 2025

Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective.

Tianyang Duan, Zongyuan Zhang, Zheng Lin, Yue Gao, Ling Xiong, Yong Cui, Hongbin Liang, Xianhao Chen, Heming Cui, Dong Huang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

FoldMoE: Efficient Long Sequence MoE Training via Attention-MoE Pipelining.

Guichao Zhu, Lintian Lei, Yuhao Qing, Yichao Fu, Fanxin Li, Dong Huang, Zekai Sun, Heming Cui

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

HE-Nav: A High-Performance and Efficient Navigation System for Aerial-Ground Robots in Cluttered Environments.

Junming Wang, Zekai Sun, Xiuxian Guan, Tianxiang Shen, Dong Huang, Zongyuan Zhang, Tianyang Duan, Fangming Liu, Heming Cui

IEEE Robotics Autom. Lett., November, 2024

Neuron Sensitivity-Guided Test Case Selection.

Dong Huang, Qingwen Bu, Yichao Fu, Yuhao Qing, Xiaofei Xie, Junjie Chen, Heming Cui

ACM Trans. Softw. Eng. Methodol., September, 2024

Effi-Code: Unleashing Code Efficiency in Language Models.

Dong Huang, Guangtao Zeng, Jianbo Dai, Meng Luo, Han Weng, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie M. Zhang

CoRR, 2024

Rethinking the Influence of Source Code on Test Case Generation.

Dong Huang, Jie M. Zhang, Mingzhe Du, Mark Harman, Heming Cui

CoRR, 2024

OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robot in Dynamic Environments via State Space Model.

Junming Wang, Dong Huang, Xiuxian Guan, Zekai Sun, Tianxiang Shen, Fangming Liu, Heming Cui

CoRR, 2024

Hybrid-Parallel: Achieving High Performance and Energy Efficient Distributed Inference on Robots.

Zekai Sun, Xiuxian Guan, Junming Wang, Haoze Song, Yuhao Qing, Tianxiang Shen, Dong Huang, Fangming Liu, Heming Cui

CoRR, 2024

SOAP: Enhancing Efficiency of Generated Code via Self-Optimization.

Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Jie M. Zhang, Heming Cui, Zhijiang Guo

CoRR, 2024

Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability.

Dong Huang, Xiaofei Xie, Heming Cui

CoRR, 2024

EffiBench: Benchmarking the Efficiency of Automatically Generated Code.

Dong Huang, Jie M. Zhang, Yuhao Qing, Heming Cui

CoRR, 2024

EffiBench: Benchmarking the Efficiency of Automatically Generated Code.

Dong Huang, Yuhao Qing, Weiyi Shang, Heming Cui, Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization.

Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability.

Dong Huang, Tsz On Li, Xiaofei Xie, Heming Cui

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Adversarial Feature Map Pruning for Backdoor.

Dong Huang, Qingwen Bu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

Dong Huang, Qingwen Bu, Jie M. Zhang, Michael Luck, Heming Cui

CoRR, 2023

Bias Assessment and Mitigation in LLM-based Code Generation.

Dong Huang, Qingwen Bu, Jie Zhang, Xiaofei Xie, Junjie Chen, Heming Cui

CoRR, 2023

CodeCoT and Beyond: Learning to Program and Test like a Developer.

Dong Huang, Qingwen Bu, Heming Cui

CoRR, 2023

FMT: Removing Backdoor Feature Maps via Feature Map Testing in Deep Neural Networks.

Dong Huang, Qingwen Bu, Yahao Qing, Yichao Fu, Heming Cui

CoRR, 2023

Feature Map Testing for Deep Neural Networks.

Dong Huang, Qingwen Bu, Yahao Qing, Yichao Fu, Heming Cui

CoRR, 2023

Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing.

Dong Huang, Qingwen Bu, Yichao Fu, Yuhao Qing, Bocheng Xiao, Heming Cui

CoRR, 2023

Towards Building More Robust Models with Frequency Bias.

Qingwen Bu, Dong Huang, Heming Cui

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

IEEE Trans. Parallel Distributed Syst., 2022

Two Heads are Better than One: Robust Learning Meets Multi-branch Models.

Dong Huang, Qingwen Bu, Yuhao Qing, Haowen Pi, Sen Wang, Heming Cui

CoRR, 2022