Two Heads are Better than One: Robust Learning Meets Multi-branch Models. - Dong Huang 005; Qingwen Bu; Yuhao Qing; Haowen Pi; Sen Wang 004; Heming Cui (CoRR, 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 005; Yuhao Qing; Sen Wang 004; Peng Wang 037; Gong Zhang 001; Cheng Li 001; Ping Luo 002; et al. (IEEE Trans. Parallel Distributed Syst., 2022)

Towards Building More Robust Models with Frequency Bias. - Qingwen Bu; Dong Huang 005; Heming Cui (ICCV, 2023)

Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing. - Dong Huang 005; Qingwen Bu; Yichao Fu; Yuhao Qing; Bocheng Xiao; Heming Cui (CoRR, 2023)

Feature Map Testing for Deep Neural Networks. - Dong Huang 005; Qingwen Bu; Yahao Qing; Yichao Fu; Heming Cui (CoRR, 2023)

FMT: Removing Backdoor Feature Maps via Feature Map Testing in Deep Neural Networks. - Dong Huang 005; Qingwen Bu; Yahao Qing; Yichao Fu; Heming Cui (CoRR, 2023)

CodeCoT and Beyond: Learning to Program and Test like a Developer. - Dong Huang 005; Qingwen Bu; Heming Cui (CoRR, 2023)

Bias Assessment and Mitigation in LLM-based Code Generation. - Dong Huang 005; Qingwen Bu; Jie Zhang 050; Xiaofei Xie; Junjie Chen 003; Heming Cui (CoRR, 2023)

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation. - Dong Huang 005; Qingwen Bu; Jie M. Zhang; Michael Luck; Heming Cui (CoRR, 2023)

Adversarial Feature Map Pruning for Backdoor. - Dong Huang 005; Qingwen Bu (ICLR, 2024)

AGRNav: Efficient and Energy-Saving Autonomous Navigation for Air-Ground Robots in Occlusion-Prone Environments. - Junming Wang 001; Zekai Sun; Xiuxian Guan; Tianxiang Shen; Zongyuan Zhang; Tianyang Duan; Dong Huang 005; Shixiong Zhao; Heming Cui (ICRA, 2024)

Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability. - Dong Huang 005; Tsz On Li; Xiaofei Xie; Heming Cui (ISSRE, 2024)

EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization. - Dong Huang 005; Jianbo Dai; Han Weng; Puzhen Wu; Yuhao Qing; Heming Cui; Zhijiang Guo; Jie Zhang 050 (NeurIPS, 2024)

EffiBench: Benchmarking the Efficiency of Automatically Generated Code. - Dong Huang 005; Yuhao Qing; Weiyi Shang; Heming Cui; Jie Zhang 050 (NeurIPS, 2024)

EffiBench: Benchmarking the Efficiency of Automatically Generated Code. - Dong Huang 005; Jie M. Zhang; Yuhao Qing; Heming Cui (CoRR, 2024)

Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability. - Dong Huang 005; Xiaofei Xie; Heming Cui (CoRR, 2024)

SOAP: Enhancing Efficiency of Generated Code via Self-Optimization. - Dong Huang 005; Jianbo Dai; Han Weng; Puzhen Wu; Yuhao Qing; Jie M. Zhang; Heming Cui; Zhijiang Guo (CoRR, 2024)

Hybrid-Parallel: Achieving High Performance and Energy Efficient Distributed Inference on Robots. - Zekai Sun; Xiuxian Guan; Junming Wang 001; Haoze Song; Yuhao Qing; Tianxiang Shen; Dong Huang 005; Fangming Liu; Heming Cui (CoRR, 2024)

OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robot in Dynamic Environments via State Space Model. - Junming Wang 001; Dong Huang 005; Xiuxian Guan; Zekai Sun; Tianxiang Shen; Fangming Liu; Heming Cui (CoRR, 2024)

Rethinking the Influence of Source Code on Test Case Generation. - Dong Huang 005; Jie M. Zhang; Mingzhe Du; Mark Harman; Heming Cui (CoRR, 2024)

Effi-Code: Unleashing Code Efficiency in Language Models. - Dong Huang 005; Guangtao Zeng; Jianbo Dai; Meng Luo; Han Weng; Yuhao Qing; Heming Cui; Zhijiang Guo; Jie M. Zhang (CoRR, 2024)

Neuron Sensitivity-Guided Test Case Selection. - Dong Huang 005; Qingwen Bu; Yichao Fu; Yuhao Qing; Xiaofei Xie; Junjie Chen 003; Heming Cui (ACM Trans. Softw. Eng. Methodol., 2024)

HE-Nav: A High-Performance and Efficient Navigation System for Aerial-Ground Robots in Cluttered Environments. - Junming Wang 001; Zekai Sun; Xiuxian Guan; Tianxiang Shen; Dong Huang 005; Zongyuan Zhang; Tianyang Duan; Fangming Liu; Heming Cui (IEEE Robotics Autom. Lett., 2024)

FoldMoE: Efficient Long Sequence MoE Training via Attention-MoE Pipelining. - Guichao Zhu; Lintian Lei; Yuhao Qing; Yichao Fu; Fanxin Li; Dong Huang 005; Zekai Sun; Heming Cui (ACL (1), 2025)

Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective. - Tianyang Duan; Zongyuan Zhang; Zheng Lin; Yue Gao 001; Ling Xiong; Yong Cui 001; Hongbin Liang; Xianhao Chen; Heming Cui; Dong Huang 005 (ICASSP, 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 005; Sen Wang 004; Heming Cui (CoRR, 2025)

OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robots in Dynamic Environments via State Space Model. - Junming Wang 001; Xiuxian Guan; Zekai Sun; Tianxiang Shen; Dong Huang 005; Fangming Liu; Heming Cui (IEEE Robotics Autom. Lett., 2025)

CodeArena: A Collective Evaluation Platform for LLM Code Generation. - Mingzhe Du; Anh Tuan Luu; Bin Ji 002; Xiaobao Wu; Dong Huang 005; Terry Yue Zhuo; Qian Liu 012; See-Kiong Ng (CoRR, 2025)

State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning. - Zongyuan Zhang; Tianyang Duan; Zheng Lin; Dong Huang 005; Zihan Fang; Zekai Sun; Ling Xiong; Hongbin Liang; Heming Cui; Yong Cui 001 (CoRR, 2025)

Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks. - Zongyuan Zhang; Tianyang Duan; Zheng Lin; Dong Huang 005; Zihan Fang; Zekai Sun; Ling Xiong; Hongbin Liang; Heming Cui; Yong Cui 001; Yue Gao 001 (CoRR, 2025)

M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation. - Qianru Zhang; Liang Qu; Honggang Wen; Dong Huang 005; Siu-Ming Yiu; Nguyen Quoc Viet Hung; Hongzhi Yin (CoRR, 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 005; See-Kiong Ng; Luu Anh Tuan (CoRR, 2025)

DS-Bench: A Realistic Benchmark for Data Science Code Generation. - Shuyin Ouyang; Dong Huang 005; Jingwen Guo; Zeyu Sun 004; Qihao Zhu; Jie M. Zhang (CoRR, 2025)

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization. - Mingzhe Du; Luu Tuan Tuan; Yue Liu 008; Yuhao Qing; Dong Huang 005; Xinyi He; Qian Liu 012; Zejun Ma; See-Kiong Ng (CoRR, 2025)

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction. - Qianru Zhang; Honggang Wen; Ming Li 065; Dong Huang 005; Siu-Ming Yiu; Christian S. Jensen; Pietro Liò (CoRR, 2025)

Benchmarking LLMs for Unit Test Generation from Real-World Functions. - Dong Huang 005; Jie M. Zhang; Mark Harman; Qianru Zhang; Mingzhe Du; See-Kiong Ng (CoRR, 2025)

TRACY: Benchmarking Execution Efficiency of LLM-Based Code Translation. - Zhihao Gong; Zeyu Sun 004; Dong Huang 005; Qingyuan Liang; Jie M. Zhang; Dan Hao 001 (CoRR, 2025)