Huang, Dong

35 publications

NeurIPS 2025 Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization Mingzhe Du, Anh Tuan Luu, Yue Liu, Yuhao Qing, Dong Huang, Xinyi He, Qian Liu, Zejun Ma, See-Kiong Ng

NeurIPS 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, Anh Tuan Luu

ICML 2025 EffiCoder: Enhancing Code Generation in Large Language Models Through Efficiency-Aware Fine-Tuning Dong Huang, Guangtao Zeng, Jianbo Dai, Meng Luo, Han Weng, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie Zhang

ICML 2025 Sample Complexity of Correlation Detection in the Gaussian Wigner Model Dong Huang, Pengkun Yang

AAAI 2025 Toward Adaptive Large Language Models Structured Pruning via Hybrid-Grained Weight Importance Assessment Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang

ICLR 2024 Adversarial Feature mAP Pruning for Backdoor Dong Huang, Qingwen Bu

NeurIPS 2024 EffiBench: Benchmarking the Efficiency of Automatically Generated Code Dong Huang, Yuhao Qing, Weiyi Shang, Heming Cui, Jie M. Zhang

NeurIPS 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 M. Zhang

COLT 2024 Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs Dong Huang, Xianwen Song, Pengkun Yang

WACV 2024 Physical-Space Multi-Body Mesh Detection Achieved by Local Alignment and Global Dense Learning Haoye Dong, Tiange Xiang, Sravan Chittupalli, Jun Liu, Dong Huang

ICCV 2023 Coordinate Transformer: Achieving Single-Stage Multi-Person Mesh Recovery from Videos Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang

ICCV 2023 Towards Building More Robust Models with Frequency Bias Qingwen Bu, Dong Huang, Heming Cui

CVPR 2023 Zero-Shot Model Diagnosis Jinqi Luo, Zhaoning Wang, Chen Henry Wu, Dong Huang, Fernando De la Torre

CVPR 2022 Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen

CVPR 2022 The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing

ICCV 2021 Elaborative Rehearsal for Zero-Shot Action Recognition Shizhe Chen, Dong Huang

ICML 2021 How Do Adam and Training Strategies Help BNNs Optimization Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng

AAAI 2021 Large Norms of CNN Layers Do Not Hurt Adversarial Robustness Youwei Liang, Dong Huang

CVPR 2021 Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs Jianwei Feng, Dong Huang

NeurIPS 2020 Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection Zeyi Huang, Yang Zou, B. V. K. Vijaya Kumar, Dong Huang

WACV 2020 Improving Object Detection with Inverted Attention Zeyi Huang, Wei Ke, Dong Huang

AAAI 2020 Multi-View Clustering in Latent Embedding Space Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang

ECCV 2020 Self-Challenging Improves Cross-Domain Generalization Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang

WACVW 2019 Minding the Gaps in a Video Action Analysis Pipeline Jia Chen, Jiang Liu, Junwei Liang, Ting-Yao Hu, Wei Ke, Wayner Barrios, Dong Huang, Alexander G. Hauptmann

CVPR 2017 Learning Category-Specific 3D Shape Models from Weakly Labeled 2D Images Dingwen Zhang, Junwei Han, Yang Yang, Dong Huang

IJCAI 2017 Self-Paced Mixture of Regressions Longfei Han, Dingwen Zhang, Dong Huang, Xiaojun Chang, Jun Ren, Senlin Luo, Junwei Han

CVPR 2017 Soft-Margin Mixture of Regressions Dong Huang, Longfei Han, Fernando De la Torre

CVPR 2014 Complex Non-Rigid Motion 3D Reconstruction by Union of Subspaces Yingying Zhu, Dong Huang, Fernando De La Torre, Simon Lucey

ECCV 2014 Sequential Max-Margin Event Detectors Dong Huang, Shitong Yao, Yi Wang, Fernando De la Torre

ECCV 2012 Facial Action Transfer with Personalized Bilinear Regression Dong Huang, Fernando De la Torre

ECCV 2012 Robust Regression Dong Huang, Ricardo Silveira Cabral, Fernando De la Torre

CVPR 2011 Local Isomorphism to Solve the Pre-Image Problem in Kernel Methods Dong Huang, Yuandong Tian, Fernando De la Torre

CVPRW 2011 Non-Rigid Tracking of Musk Shrews in Video for Detection of Emetic Episodes Dong Huang, Kelly Meyers, Séverine Henry, Fernando De la Torre, Charles Christopher Horn

CVPR 2011 Supervised Local Subspace Learning for Continuous Head Pose Estimation Dong Huang, Markus Storer, Fernando De la Torre, Horst Bischof

ECCV 2010 Bilinear Kernel Reduced Rank Regression for Facial Expression Synthesis Dong Huang, Fernando De la Torre