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Gao Huang
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2020 – today
- 2024
- [j63]Mixue Xie, Shuang Li, Kaixiong Gong, Yulin Wang, Gao Huang:
Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint. Int. J. Comput. Vis. 132(4): 1417-1441 (2024) - [j62]Rui Huang, Xuran Pan, Henry Zheng, Haojun Jiang, Zhifeng Xie, Cheng Wu, Shiji Song, Gao Huang:
Joint representation learning for text and 3D point cloud. Pattern Recognit. 147: 110086 (2024) - [j61]Le Yang, Ziwei Zheng, Jian Wang, Shiji Song, Gao Huang, Fan Li:
AdaDet: An Adaptive Object Detection System Based on Early-Exit Neural Networks. IEEE Trans. Cogn. Dev. Syst. 16(1): 332-345 (2024) - [j60]Ziwei Zheng, Le Yang, Yulin Wang, Miao Zhang, Lijun He, Gao Huang, Fan Li:
Dynamic Spatial Focus for Efficient Compressed Video Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 34(2): 695-708 (2024) - [j59]Pan Liu, Gao Huang, Jing Jing, Suyan Bian, Liuquan Cheng, Xin Yang Lu, Chongyou Rao, Yu Liu, Yun Hua, Yongjun Wang, Kunlun He:
An Energy Matching Vessel Segmentation Framework in 3-D Medical Images. IEEE Trans. Medical Imaging 43(4): 1476-1488 (2024) - [j58]Qisen Yang, Huanqian Wang, Mukun Tong, Wenjie Shi, Gao Huang, Shiji Song:
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 1014-1025 (2024) - [c95]Matthieu Lin, Jenny Sheng, Yubin Hu, Yangguang Li, Lu Qi, Andrew Zhao, Gao Huang, Yong-Jin Liu:
Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation. AAAI 2024: 3450-3458 - [c94]Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang:
ExpeL: LLM Agents Are Experiential Learners. AAAI 2024: 19632-19642 - [i122]Qisen Yang, Zekun Wang, Honghui Chen, Shenzhi Wang, Yifan Pu, Xin Gao, Wenhao Huang, Shiji Song, Gao Huang:
LLM Agents for Psychology: A Study on Gamified Assessments. CoRR abs/2402.12326 (2024) - [i121]Chaoqun Du, Yizeng Han, Gao Huang:
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning. CoRR abs/2402.13505 (2024) - [i120]Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang:
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition. CoRR abs/2403.06726 (2024) - [i119]Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu:
2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR abs/2403.07153 (2024) - [i118]Zeyu Liu, Weicong Liang, Zhanhao Liang, Chong Luo, Ji Li, Gao Huang, Yuhui Yuan:
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering. CoRR abs/2403.09622 (2024) - [i117]Jiangshan Wang, Yifan Pu, Yizeng Han, Jiayi Guo, Yiru Wang, Xiu Li, Gao Huang:
GRA: Detecting Oriented Objects through Group-wise Rotating and Attention. CoRR abs/2403.11127 (2024) - [i116]Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang:
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. CoRR abs/2403.11703 (2024) - [i115]Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You:
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation. CoRR abs/2403.11808 (2024) - 2023
- [j57]Guoyu Zuo, Zhipeng Tian, Gao Huang:
A stable data-augmented reinforcement learning method with ensemble exploration and exploitation. Appl. Intell. 53(21): 24792-24803 (2023) - [j56]Aidi Zhao, Hong Su, Chongyang She, Xiao Huang, Hui Li, Huaiyu Qiu, Zhihong Jiang, Gao Huang:
Joint optic disc and cup segmentation based on elliptical-like morphological feature and spatial geometry constraint. Comput. Biol. Medicine 158: 106796 (2023) - [j55]Boxi Weng, Jian Sun, Gao Huang, Fang Deng, Gang Wang, Jie Chen:
Competitive Meta-Learning. IEEE CAA J. Autom. Sinica 10(9): 1902-1904 (2023) - [j54]Gao Huang, Yulin Wang, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, Shiji Song:
Glance and Focus Networks for Dynamic Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4605-4621 (2023) - [j53]Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Convolution-Enhanced Evolving Attention Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8176-8192 (2023) - [j52]Binhui Xie, Shuang Li, Mingjia Li, Chi Harold Liu, Gao Huang, Guoren Wang:
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9004-9021 (2023) - [j51]Lianqiang Han, Xuechao Chen, Zhangguo Yu, Zhifa Gao, Gao Huang, Jintao Zhang, Kenji Hashimoto, Qiang Huang:
A heuristic gait template planning and dynamic motion control for biped robots. Robotica 41(2): 789-805 (2023) - [j50]Hangkai Hu, Gao Huang, Xiang Li, Shiji Song:
Meta-Reinforcement Learning With Dynamic Adaptiveness Distillation. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1454-1464 (2023) - [j49]Peng Jiang, Shiji Song, Gao Huang:
Exploration With Task Information for Meta Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4033-4046 (2023) - [j48]Haoxiang Qi, Xuechao Chen, Zhangguo Yu, Gao Huang, Yaliang Liu, Libo Meng, Qiang Huang:
Vertical Jump of a Humanoid Robot With CoP-Guided Angular Momentum Control and Impact Absorption. IEEE Trans. Robotics 39(4): 3154-3166 (2023) - [c93]Chunjiang Ge, Shiji Song, Gao Huang:
Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism. AAAI 2023: 658-666 - [c92]Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi:
Boosted Dynamic Neural Networks. AAAI 2023: 10989-10997 - [c91]Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. AAAI 2023: 11069-11077 - [c90]Xiaochen Zhang, Zhangguo Yu, Xuechao Chen, Gao Huang, Min Zhu, Lingxuan Zhao, Xuejian Qiu, Qiang Huang:
Human-Riding Inspired Acceleration Control of a Wheel-Legged Humanoid Robot. CBS 2023: 228-233 - [c89]Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang:
Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention. CVPR 2023: 2082-2091 - [c88]Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie Zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai:
Siamese Image Modeling for Self-Supervised Vision Representation Learning. CVPR 2023: 2132-2141 - [c87]Jiayi Guo, Chaofei Wang, You Wu, Eric J. Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang:
Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning. CVPR 2023: 11494-11503 - [c86]Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai:
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information. CVPR 2023: 15888-15899 - [c85]Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai:
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. CVPR 2023: 17830-17839 - [c84]Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang:
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. ICCV 2023: 5829-5841 - [c83]Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang:
FLatten Transformer: Vision Transformer using Focused Linear Attention. ICCV 2023: 5938-5948 - [c82]Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang:
Dynamic Perceiver for Efficient Visual Recognition. ICCV 2023: 5969-5979 - [c81]Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang:
Adaptive Rotated Convolution for Rotated Object Detection. ICCV 2023: 6566-6577 - [c80]Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang:
Deep Incubation: Training Large Models by Divide-and-Conquering. ICCV 2023: 17289-17299 - [c79]Wenxuan Ma, Shuang Li, Jinming Zhang, Chi Harold Liu, Jingxuan Kang, Yulin Wang, Gao Huang:
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm. ICCV 2023: 18740-18751 - [c78]Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue, Shiji Song, Gao Huang:
Budgeted Training for Vision Transformer. ICLR 2023 - [c77]Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang:
Boosting Offline Reinforcement Learning with Action Preference Query. ICML 2023: 39509-39523 - [c76]Kangchen Lv, Mingrui Yu, Yifan Pu, Xin Jiang, Gao Huang, Xiang Li:
Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds. ICRA 2023: 7119-7125 - [c75]Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang:
Rank-DETR for High Quality Object Detection. NeurIPS 2023 - [c74]Shenzhi Wang, Qisen Yang, Jiawei Gao, Matthieu Gaetan Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang:
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning. NeurIPS 2023 - [c73]Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang:
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. NeurIPS 2023 - [c72]Weipu Zhang, Gang Wang, Jian Sun, Yetian Yuan, Gao Huang:
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning. NeurIPS 2023 - [c71]Guoyu Zuo, Zihao Wang, Daoxiong Gong, Gao Huang:
A graph reasoning method for multi-object unordered stacking scenarios. RCAR 2023: 888-892 - [i114]Rui Huang, Xuran Pan, Henry Zheng, Haojun Jiang, Zhifeng Xie, Shiji Song, Gao Huang:
Joint Representation Learning for Text and 3D Point Cloud. CoRR abs/2301.07584 (2023) - [i113]Xiangjie Yan, Yongpeng Jiang, Guokun Wu, Chen Chen, Gao Huang, Xiang Li:
Multi-Modal Interaction Control of Ultrasound Scanning Robots with Safe Human Guidance and Contact Recovery. CoRR abs/2302.05685 (2023) - [i112]Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang:
Adaptive Rotated Convolution for Rotated Object Detection. CoRR abs/2303.07820 (2023) - [i111]Jiayi Guo, Chaofei Wang, You Wu, Eric J. Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang:
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning. CoRR abs/2304.03119 (2023) - [i110]Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang:
Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention. CoRR abs/2304.04237 (2023) - [i109]Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi:
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models. CoRR abs/2305.16223 (2023) - [i108]Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, Jifeng Dai:
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory. CoRR abs/2305.17144 (2023) - [i107]Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang:
Boosting Offline Reinforcement Learning with Action Preference Query. CoRR abs/2306.03362 (2023) - [i106]Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan:
Offline Prioritized Experience Replay. CoRR abs/2306.05412 (2023) - [i105]Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu:
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process. CoRR abs/2306.05423 (2023) - [i104]Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang:
Dynamic Perceiver for Efficient Visual Recognition. CoRR abs/2306.11248 (2023) - [i103]Sheng-lan Liu, Yu-Ning Ding, Jinrong Zhang, Kai-Yuan Liu, Si-Fan Zhang, Feilong Wang, Gao Huang:
Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition. CoRR abs/2306.15321 (2023) - [i102]Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang:
FLatten Transformer: Vision Transformer using Focused Linear Attention. CoRR abs/2308.00442 (2023) - [i101]Honghui Wang, Lu Lu, Shiji Song, Gao Huang:
Learning Specialized Activation Functions for Physics-informed Neural Networks. CoRR abs/2308.04073 (2023) - [i100]Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang:
ExpeL: LLM Agents Are Experiential Learners. CoRR abs/2308.10144 (2023) - [i99]Yulin Wang, Yizeng Han, Chaofei Wang, Shiji Song, Qi Tian, Gao Huang:
Computation-efficient Deep Learning for Computer Vision: A Survey. CoRR abs/2308.13998 (2023) - [i98]Yizeng Han, Zeyu Liu, Zhihang Yuan, Yifan Pu, Chaofei Wang, Shiji Song, Gao Huang:
Latency-aware Unified Dynamic Networks for Efficient Image Recognition. CoRR abs/2308.15949 (2023) - [i97]Yifan Pu, Yizeng Han, Yulin Wang, Junlan Feng, Chao Deng, Gao Huang:
Fine-grained Recognition with Learnable Semantic Data Augmentation. CoRR abs/2309.00399 (2023) - [i96]Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang:
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention. CoRR abs/2309.01430 (2023) - [i95]Qisen Yang, Shenzhi Wang, Qihang Zhang, Gao Huang, Shiji Song:
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance. CoRR abs/2309.01448 (2023) - [i94]Qisen Yang, Huanqian Wang, Mukun Tong, Wenjie Shi, Gao Huang, Shiji Song:
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning. CoRR abs/2309.01458 (2023) - [i93]Jiayun Li, Yuxiao Cheng, Zhuofan Xia, Yilin Mo, Gao Huang:
Generalized Activation via Multivariate Projection. CoRR abs/2309.17194 (2023) - [i92]Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen, Qisen Yang, Andrew Zhao, Chaofei Wang, Shiji Song, Gao Huang:
Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation. CoRR abs/2310.01320 (2023) - [i91]Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang:
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. CoRR abs/2310.04411 (2023) - [i90]Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang:
Rank-DETR for High Quality Object Detection. CoRR abs/2310.08854 (2023) - [i89]Weipu Zhang, Gang Wang, Jian Sun, Yetian Yuan, Gao Huang:
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning. CoRR abs/2310.09615 (2023) - [i88]Shenzhi Wang, Qisen Yang, Jiawei Gao, Matthieu Gaetan Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang:
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning. CoRR abs/2310.17966 (2023) - [i87]Xiuli Bi, Bo Liu, Fan Yang, Bin Xiao, Weisheng Li, Gao Huang, Pamela C. Cosman:
Detecting Generated Images by Real Images Only. CoRR abs/2311.00962 (2023) - [i86]Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang:
Augmenting Unsupervised Reinforcement Learning with Self-Reference. CoRR abs/2311.09692 (2023) - [i85]Gao Huang, Song Li, Hang Xu:
Robust Outlier Bound Condition to Phase Retrieval with Adversarial Sparse Outliers. CoRR abs/2311.13219 (2023) - [i84]Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi:
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models. CoRR abs/2312.04410 (2023) - [i83]Gao Huang, Song Li, Hang Xu:
Adversarial Phase Retrieval via Nonlinear Least Absolute Deviation. CoRR abs/2312.06190 (2023) - [i82]Dongchen Han, Tianzhu Ye, Yizeng Han, Zhuofan Xia, Shiji Song, Gao Huang:
Agent Attention: On the Integration of Softmax and Linear Attention. CoRR abs/2312.08874 (2023) - [i81]Zhuofan Xia, Dongchen Han, Yizeng Han, Xuran Pan, Shiji Song, Gao Huang:
GSVA: Generalized Segmentation via Multimodal Large Language Models. CoRR abs/2312.10103 (2023) - [i80]Yong Xien Chng, Henry Zheng, Yizeng Han, Xuchong Qiu, Gao Huang:
Mask Grounding for Referring Image Segmentation. CoRR abs/2312.12198 (2023) - [i79]Rui Huang, Songyou Peng, Ayça Takmaz, Federico Tombari, Marc Pollefeys, Shiji Song, Gao Huang, Francis Engelmann:
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels. CoRR abs/2312.17232 (2023) - 2022
- [j47]Guoyu Zuo, Zichen Xu, Gao Huang:
Dual Arm Coordination with Coordination Diagram Based on Teleoperation Demonstration. Int. J. Humanoid Robotics 19(4): 2250007:1-2250007:21 (2022) - [j46]Xuran Pan, Shiji Song, Yiming Chen, Liejun Wang, Gao Huang:
PLAM: A plug-in module for flexible graph attention learning. Neurocomputing 480: 76-88 (2022) - [j45]Chaofei Wang, Ke Yang, Shaowei Zhang, Gao Huang, Shiji Song:
TC3KD: Knowledge distillation via teacher-student cooperative curriculum customization. Neurocomputing 508: 284-292 (2022) - [j44]Min-Ling Zhang, Xiu-Shen Wei, Gao Huang:
Preface. J. Comput. Sci. Technol. 37(3): 505-506 (2022) - [j43]Shengrui Yu, Tianfeng Zhang, Yun Zhang, Zhigao Huang, Huang Gao, Wen Han, Lih-Sheng Turng, Huamin Zhou:
Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features. J. Intell. Manuf. 33(1): 77-89 (2022) - [j42]Wenjie Shi, Gao Huang, Shiji Song, Zhuoyuan Wang, Tingyu Lin, Cheng Wu:
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2712-2724 (2022) - [j41]Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu:
Regularizing Deep Networks With Semantic Data Augmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3733-3748 (2022) - [j40]Shuang Li, Binhui Xie, Qiuxia Lin, Chi Harold Liu, Gao Huang, Guoren Wang:
Generalized Domain Conditioned Adaptation Network. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4093-4109 (2022) - [j39]Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang:
Dynamic Neural Networks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7436-7456 (2022) - [j38]Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger:
Convolutional Networks with Dense Connectivity. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8704-8716 (2022) - [j37]Wenjie Shi, Gao Huang, Shiji Song, Cheng Wu:
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10222-10235 (2022) - [j36]Peng Jiang, Shiji Song, Gao Huang:
Attention-Based Meta-Reinforcement Learning for Tracking Control of AUV With Time-Varying Dynamics. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6388-6401 (2022) - [j35]Gao Huang, Chaoqun Du:
The High Separation Probability Assumption for Semi-Supervised Learning. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7561-7573 (2022) - [c70]Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang:
Assessing a Single Image in Reference-Guided Image Synthesis. AAAI 2022: 753-761 - [c69]Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang:
On the Integration of Self-Attention and Convolution. CVPR 2022: 805-815 - [c68]Hao Li, Tianwen Fu, Jifeng Dai, Hongsheng Li, Gao Huang, Xizhou Zhu:
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks. CVPR 2022: 999-1008 - [c67]Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang:
Vision Transformer with Deformable Attention. CVPR 2022: 4784-4793 - [c66]Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi:
DiSparse: Disentangled Sparsification for Multitask Model Compression. CVPR 2022: 12372-12382 - [c65]Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai:
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. CVPR 2022: 14411-14420 - [c64]Haojun Jiang, Yuanze Lin, Dongchen Han, Shiji Song, Gao Huang:
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding. CVPR 2022: 15492-15502 - [c63]Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang:
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. CVPR 2022: 20030-20040 - [c62]Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang:
AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition. ECCV (4) 2022: 226-243 - [c61]Xuran Pan, Zihang Lai, Shiji Song, Gao Huang:
ActiveNeRF: Learning Where to See with Uncertainty Estimation. ECCV (33) 2022: 230-246 - [c60]Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang:
Learning to Weight Samples for Dynamic Early-Exiting Networks. ECCV (11) 2022: 362-378 - [c59]Chaofei Wang, Shaowei Zhang, Shiji Song, Gao Huang:
Learn From the Past: Experience Ensemble Knowledge Distillation. ICPR 2022: 4736-4743 - [c58]Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang:
Latency-aware Spatial-wise Dynamic Networks. NeurIPS 2022 - [c57]Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang:
Provable General Function Class Representation Learning in Multitask Bandits and MDP. NeurIPS 2022 - [c56]Xuran Pan, Tianzhu Ye, Dongchen Han, Shiji Song, Gao Huang:
Contrastive Language-Image Pre-Training with Knowledge Graphs. NeurIPS 2022 - [c55]Chaofei Wang, Qisen Yang, Rui Huang, Shiji Song, Gao Huang:
Efficient Knowledge Distillation from Model Checkpoints. NeurIPS 2022 - [c54]Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang:
A Mixture Of Surprises for Unsupervised Reinforcement Learning. NeurIPS 2022 - [c53]Xin Xu, Guoyu Zuo, Jiangeng Li, Gao Huang:
Efficient Hierarchical Exploration with An Active Subgoal Generation Strategy. ROBIO 2022: 1335-1340 - [i78]Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang:
Vision Transformer with Deformable Attention. CoRR abs/2201.00520 (2022) - [i77]Gao Huang, Yulin Wang, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, Shiji Song:
Glance and Focus Networks for Dynamic Visual Recognition. CoRR abs/2201.03014 (2022) - [i76]Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang:
Domain Adaptation via Prompt Learning. CoRR abs/2202.06687 (2022) - [i75]Chaofei Wang, Shaowei Zhang, Shiji Song, Gao Huang:
Learn From the Past: Experience Ensemble Knowledge Distillation. CoRR abs/2202.12488 (2022) - [i74]Haojun Jiang, Yuanze Lin, Dongchen Han, Shiji Song, Gao Huang:
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding. CoRR abs/2203.08481 (2022) - [i73]Binhui Xie, Shuang Li, Mingjia Li, Chi Harold Liu, Gao Huang, Guoren Wang:
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation. CoRR abs/2204.08808 (2022) - [i72]Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang:
Provable General Function Class Representation Learning in Multitask Bandits and MDPs. CoRR abs/2205.15701 (2022) - [i71]Chenxin Tao, Xizhou Zhu, Gao Huang, Yu Qiao, Xiaogang Wang, Jifeng Dai:
Siamese Image Modeling for Self-Supervised Vision Representation Learning. CoRR abs/2206.01204 (2022) - [i70]Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi:
DiSparse: Disentangled Sparsification for Multitask Model Compression. CoRR abs/2206.04662 (2022) - [i69]Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. CoRR abs/2206.12542 (2022) - [i68]Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang:
Learning to Weight Samples for Dynamic Early-exiting Networks. CoRR abs/2209.08310 (2022) - [i67]Xuran Pan, Zihang Lai, Shiji Song, Gao Huang:
ActiveNeRF: Learning where to See with Uncertainty Estimation. CoRR abs/2209.08546 (2022) - [i66]Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang:
AdaFocusV3: On Unified Spatial-temporal Dynamic Video Recognition. CoRR abs/2209.13465 (2022) - [i65]Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang:
Latency-aware Spatial-wise Dynamic Networks. CoRR abs/2210.06223 (2022) - [i64]Chaofei Wang, Qisen Yang, Rui Huang, Shiji Song, Gao Huang:
Efficient Knowledge Distillation from Model Checkpoints. CoRR abs/2210.06458 (2022) - [i63]Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang:
A Mixture of Surprises for Unsupervised Reinforcement Learning. CoRR abs/2210.06702 (2022) - [i62]Xuran Pan, Tianzhu Ye, Dongchen Han, Shiji Song, Gao Huang:
Contrastive Language-Image Pre-Training with Knowledge Graphs. CoRR abs/2210.08901 (2022) - [i61]Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Boosting Offline Reinforcement Learning via Data Rebalancing. CoRR abs/2210.09241 (2022) - [i60]Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Jiwen Lu, Jie Zhou, Shiji Song, Gao Huang:
Cross-Modal Adapter for Text-Video Retrieval. CoRR abs/2211.09623 (2022) - [i59]Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang:
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. CoRR abs/2211.09703 (2022) - [i58]Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai:
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information. CoRR abs/2211.09807 (2022) - [i57]Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai:
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. CoRR abs/2211.10439 (2022) - [i56]Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi:
Boosted Dynamic Neural Networks. CoRR abs/2211.16726 (2022) - [i55]Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang:
Deep Model Assembling. CoRR abs/2212.04129 (2022) - [i54]Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Convolution-enhanced Evolving Attention Networks. CoRR abs/2212.08330 (2022) - 2021
- [j34]Gao Huang, Chunjiang Ge, Tianyu Xiong, Shiji Song, Le Yang, Baoxian Liu, Wenjun Yin, Cheng Wu:
Large scale air pollution prediction with deep convolutional networks. Sci. China Inf. Sci. 64(9) (2021) - [j33]Depeng Wang, Liejun Wang, Shiji Song, Gao Huang, Yuchen Guo, Shuli Cheng, Naixiang Ao, Anyu Du:
Fusion layer attention for image-text matching. Neurocomputing 442: 249-259 (2021) - [j32]Chaofei Wang, Shiji Song, Qisen Yang, Xiang Li, Gao Huang:
Fine-grained few shot learning with foreground object transformation. Neurocomputing 466: 16-26 (2021) - [j31]Shuli Cheng, Lie-Jun Wang, Gao Huang, Anyu Du:
A privacy-preserving image retrieval scheme based secure kNN, DNA coding and deep hashing. Multim. Tools Appl. 80(15): 22733-22755 (2021) - [j30]Jiahuan Liu, Fei Guo, Huang Gao, Zhigao Huang, Yun Zhang, Huamin Zhou:
Image classification method on class imbalance datasets using multi-scale CNN and two-stage transfer learning. Neural Comput. Appl. 33(21): 14179-14197 (2021) - [j29]Shuang Li, Chi Harold Liu, Qiuxia Lin, Qi Wen, Limin Su, Gao Huang, Zhengming Ding:
Deep Residual Correction Network for Partial Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2329-2344 (2021) - [j28]Le Yang, Yiming Chen, Shiji Song, Fan Li, Gao Huang:
Deep Siamese Networks Based Change Detection with Remote Sensing Images. Remote. Sens. 13(17): 3394 (2021) - [j27]Qichuan Geng, Hong Zhang, Xiaojuan Qi, Gao Huang, Ruigang Yang, Zhong Zhou:
Gated Path Selection Network for Semantic Segmentation. IEEE Trans. Image Process. 30: 2436-2449 (2021) - [j26]Yizeng Han, Gao Huang, Shiji Song, Le Yang, Yitian Zhang, Haojun Jiang:
Spatially Adaptive Feature Refinement for Efficient Inference. IEEE Trans. Image Process. 30: 9345-9358 (2021) - [j25]Le Yang, Shiji Song, Shuang Li, Yiming Chen, Gao Huang:
Graph Embedding-Based Dimension Reduction With Extreme Learning Machine. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4262-4273 (2021) - [j24]Hangkai Hu, Shiji Song, Gao Huang:
Self-Attention-Based Temporary Curiosity in Reinforcement Learning Exploration. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5773-5784 (2021) - [c52]Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian:
CondenseNet V2: Sparse Feature Reactivation for Deep Networks. CVPR 2021: 3569-3578 - [c51]Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang:
3D Object Detection With Pointformer. CVPR 2021: 7463-7472 - [c50]Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin:
Cross-Iteration Batch Normalization. CVPR 2021: 12331-12340 - [c49]Haoxiang Qi, Xuechao Chen, Zhangguo Yu, Gao Huang, Libo Meng, Kenji Hashimoto, Wenxi Liao, Qiang Huang:
A vertical jump optimization strategy for one-legged robot with variable reduction ratio joint. HUMANOIDS 2021: 262-267 - [c48]Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang:
Towards Learning Spatially Discriminative Feature Representations. ICCV 2021: 1306-1315 - [c47]Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang:
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. ICCV 2021: 13910-13920 - [c46]Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang:
Adaptive Focus for Efficient Video Recognition. ICCV 2021: 16229-16238 - [c45]Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai:
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. ICLR 2021 - [c44]Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang:
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. ICLR 2021 - [c43]Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Evolving Attention with Residual Convolutions. ICML 2021: 10971-10980 - [c42]Peng Lu, Gao Huang, Hangyu Lin, Wenming Yang, Guodong Guo, Yanwei Fu:
Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin Softmax. ACM Multimedia 2021: 3418-3426 - [c41]Yiqin Yang, Xiaoteng Ma, Chenghao Li, Zewu Zheng, Qiyuan Zhang, Gao Huang, Jun Yang, Qianchuan Zhao:
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning. NeurIPS 2021: 10299-10312 - [c40]Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang:
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition. NeurIPS 2021: 11960-11973 - [c39]Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai:
Searching Parameterized AP Loss for Object Detection. NeurIPS 2021: 22021-22033 - [i53]Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang:
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. CoRR abs/2101.10832 (2021) - [i52]Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang:
Dynamic Neural Networks: A Survey. CoRR abs/2102.04906 (2021) - [i51]Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Evolving Attention with Residual Convolutions. CoRR abs/2102.12895 (2021) - [i50]Shuang Li, Binhui Xie, Qiuxia Lin, Chi Harold Liu, Gao Huang, Guoren Wang:
Generalized Domain Conditioned Adaptation Network. CoRR abs/2103.12339 (2021) - [i49]Hao Li, Tianwen Fu, Jifeng Dai, Hongsheng Li, Gao Huang, Xizhou Zhu:
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks. CoRR abs/2103.14026 (2021) - [i48]Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian:
CondenseNet V2: Sparse Feature Reactivation for Deep Networks. CoRR abs/2104.04382 (2021) - [i47]Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang:
Adaptive Focus for Efficient Video Recognition. CoRR abs/2105.03245 (2021) - [i46]Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang:
Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length. CoRR abs/2105.15075 (2021) - [i45]Yiqin Yang, Xiaoteng Ma, Chenghao Li, Zewu Zheng, Qiyuan Zhang, Gao Huang, Jun Yang, Qianchuan Zhao:
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning. CoRR abs/2106.03400 (2021) - [i44]Rui Lu, Gao Huang, Simon S. Du:
On the Power of Multitask Representation Learning in Linear MDP. CoRR abs/2106.08053 (2021) - [i43]Kun He, Chao Li, Yixiao Yang, Gao Huang, John E. Hopcroft:
Integrating Circle Kernels into Convolutional Neural Networks. CoRR abs/2107.02451 (2021) - [i42]Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang:
Towards Learning Spatially Discriminative Feature Representations. CoRR abs/2109.01359 (2021) - [i41]Chaofei Wang, Shiji Song, Qisen Yang, Xiang Li, Gao Huang:
Fine-Grained Few Shot Learning with Foreground Object Transformation. CoRR abs/2109.05719 (2021) - [i40]Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang:
On the Integration of Self-Attention and Convolution. CoRR abs/2111.14556 (2021) - [i39]Wenjie Shi, Gao Huang, Shiji Song, Cheng Wu:
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning. CoRR abs/2112.03020 (2021) - [i38]Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang:
Assessing a Single Image in Reference-Guided Image Synthesis. CoRR abs/2112.04163 (2021) - [i37]Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai:
Searching Parameterized AP Loss for Object Detection. CoRR abs/2112.05138 (2021) - [i36]Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai:
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. CoRR abs/2112.05141 (2021) - [i35]Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang:
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. CoRR abs/2112.14238 (2021) - 2020
- [j23]Shenglan Liu, Xiang Liu, Gao Huang, Hong Qiao, Lianyu Hu, Dong Jiang, Aibin Zhang, Yang Liu, Ge Guo:
FSD-10: A fine-grained classification dataset for figure skating. Neurocomputing 413: 360-367 (2020) - [j22]Yulin Wang, Rui Huang, Gao Huang, Shiji Song, Cheng Wu:
Collaborative learning with corrupted labels. Neural Networks 125: 205-213 (2020) - [c38]Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang:
Domain Conditioned Adaptation Network. AAAI 2020: 11386-11393 - [c37]Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang:
Resolution Adaptive Networks for Efficient Inference. CVPR 2020: 2366-2375 - [c36]Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin:
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. ECCV (1) 2020: 531-548 - [c35]Yulin Wang, Kangchen Lv, Rui Huang, Shiji Song, Le Yang, Gao Huang:
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification. NeurIPS 2020 - [i34]Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger:
Convolutional Networks with Dense Connectivity. CoRR abs/2001.02394 (2020) - [i33]Qichuan Geng, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Zhong Zhou, Gao Huang:
Gated Path Selection Network for Semantic Segmentation. CoRR abs/2001.06819 (2020) - [i32]Sheng-lan Liu, Xiang Liu, Gao Huang, Lin Feng, Lianyu Hu, Dong Jiang, Aibin Zhang, Yang Liu, Hong Qiao:
FSD-10: A Dataset for Competitive Sports Content Analysis. CoRR abs/2002.03312 (2020) - [i31]Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin:
Cross-Iteration Batch Normalization. CoRR abs/2002.05712 (2020) - [i30]Wenjie Shi, Shiji Song, Zhuoyuan Wang, Gao Huang:
Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning. CoRR abs/2003.07069 (2020) - [i29]Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang:
Resolution Adaptive Networks for Efficient Inference. CoRR abs/2003.07326 (2020) - [i28]Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin:
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. CoRR abs/2003.08866 (2020) - [i27]Shuang Li, Chi Harold Liu, Qiuxia Lin, Qi Wen, Limin Su, Gao Huang, Zhengming Ding:
Deep Residual Correction Network for Partial Domain Adaptation. CoRR abs/2004.04914 (2020) - [i26]Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang:
Domain Conditioned Adaptation Network. CoRR abs/2005.06717 (2020) - [i25]Yulin Wang, Jiayi Guo, Shiji Song, Gao Huang:
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning. CoRR abs/2007.02394 (2020) - [i24]Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu:
Regularizing Deep Networks with Semantic Data Augmentation. CoRR abs/2007.10538 (2020) - [i23]Yulin Wang, Kangchen Lv, Rui Huang, Shiji Song, Le Yang, Gao Huang:
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification. CoRR abs/2010.05300 (2020) - [i22]Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai:
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. CoRR abs/2010.07930 (2020) - [i21]Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Gao Huang:
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. CoRR abs/2011.13611 (2020) - [i20]Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang:
3D Object Detection with Pointformer. CoRR abs/2012.11409 (2020)
2010 – 2019
- 2019
- [j21]Peng Lu, Hangyu Lin, Yanwei Fu, Gao Huang, Libo Wu:
Learning decomposed subspaces for supervised bidirectional image generation. Cogn. Comput. Syst. 1(3): 72-78 (2019) - [j20]Yang Fu, Yun Zhang, Huang Gao, Ting Mao, Huamin Zhou, Ronglei Sun, Dequn Li:
Automatic feature constructing from vibration signals for machining state monitoring. J. Intell. Manuf. 30(3): 995-1008 (2019) - [j19]Gao Huang, Marco Ceccarelli, Qiang Huang, Weimin Zhang, Zhangguo Yu, Xuechao Chen, Jingeng Mai:
Design and Feasibility Study of a Leg-exoskeleton Assistive Wheelchair Robot with Tests on Gluteus Medius Muscles. Sensors 19(3): 548 (2019) - [j18]Benben Jiang, Zhifeng Guo, Qunxiong Zhu, Gao Huang:
Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis. IEEE Trans. Control. Syst. Technol. 27(2): 806-813 (2019) - [j17]Le Yang, Shiji Song, Yanshang Gong, Huang Gao, Cheng Wu:
Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3205-3210 (2019) - [j16]Shuang Li, Shiji Song, Gao Huang, Cheng Wu:
Cross-Domain Extreme Learning Machines for Domain Adaptation. IEEE Trans. Syst. Man Cybern. Syst. 49(6): 1194-1207 (2019) - [c34]Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang:
Horizontal Pyramid Matching for Person Re-Identification. AAAI 2019: 8295-8302 - [c33]Wenxi Liao, Xuechao Chen, Gao Huang, Haoxiang Qi, Qingqing Li, Zhangguo Yu, Qiang Huang:
Planning and Control of Forward Jumping Movement of Humanoid Robot. ARSO 2019: 61-67 - [c32]Gao Huang, Marco Ceccarelli, Weimin Zhang, Qiang Huang:
Modular Design Solutions of BIT Wheelchair for Motion Assistance. ARSO 2019: 90-96 - [c31]Xiang Meng, Zhangguo Yu, Gao Huang, Xuechao Chen, Weijie Qi, Qiang Huang, Bo Su:
Walking Control of Biped Robots on Uneven Terrains Based on SLIP Model. ARSO 2019: 174-179 - [c30]Huanzhong Chen, Gao Huang, Qingqing Li, Xuechao Chen, Zhangguo Yu, Qiang Huang:
Virtual-model-based compliance control for pushing recovery of position controlled humanoid robots. ARSO 2019: 265-269 - [c29]Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang:
Improved Techniques for Training Adaptive Deep Networks. ICCV 2019: 1891-1900 - [c28]Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederick Tung, Leonid Sigal:
Interpretable Spatio-Temporal Attention for Video Action Recognition. ICCV Workshops 2019: 1513-1522 - [c27]Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell:
Rethinking the Value of Network Pruning. ICLR (Poster) 2019 - [c26]Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark E. Campbell, Kilian Q. Weinberger:
Anytime Stereo Image Depth Estimation on Mobile Devices. ICRA 2019: 5893-5900 - [c25]Shuang Li, Chi Harold Liu, Binhui Xie, Limin Su, Zhengming Ding, Gao Huang:
Joint Adversarial Domain Adaptation. ACM Multimedia 2019: 729-737 - [c24]Haowei He, Gao Huang, Yang Yuan:
Asymmetric Valleys: Beyond Sharp and Flat Local Minima. NeurIPS 2019: 2549-2560 - [c23]Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang:
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning. NeurIPS 2019: 10231-10241 - [c22]Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Gao Huang, Cheng Wu:
Implicit Semantic Data Augmentation for Deep Networks. NeurIPS 2019: 12614-12623 - [i19]Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng:
Gradient Boosted Feature Selection. CoRR abs/1901.04055 (2019) - [i18]Haowei He, Gao Huang, Yang Yuan:
Asymmetric Valleys: Beyond Sharp and Flat Local Minima. CoRR abs/1902.00744 (2019) - [i17]Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang:
Improved Techniques for Training Adaptive Deep Networks. CoRR abs/1908.06294 (2019) - [i16]Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang:
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning. CoRR abs/1909.03245 (2019) - [i15]Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Cheng Wu, Gao Huang:
Implicit Semantic Data Augmentation for Deep Networks. CoRR abs/1909.12220 (2019) - 2018
- [j15]Ting Mao, Yun Zhang, Yufei Ruan, Huang Gao, Huamin Zhou, Dequn Li:
Feature learning and process monitoring of injection molding using convolution-deconvolution auto encoders. Comput. Chem. Eng. 118: 77-90 (2018) - [j14]Shuang Li, Shiji Song, Gao Huang, Zhengming Ding, Cheng Wu:
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation. IEEE Trans. Image Process. 27(9): 4260-4273 (2018) - [c21]Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger:
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions. CVPR 2018: 2752-2761 - [c20]Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger:
Resource Aware Person Re-Identification Across Multiple Resolutions. CVPR 2018: 8042-8051 - [c19]Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger:
Multi-Scale Dense Networks for Resource Efficient Image Classification. ICLR 2018 - [i14]Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang:
Horizontal Pyramid Matching for Person Re-identification. CoRR abs/1804.05275 (2018) - [i13]Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger:
Resource Aware Person Re-identification across Multiple Resolutions. CoRR abs/1805.08805 (2018) - [i12]Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger:
An empirical study on evaluation metrics of generative adversarial networks. CoRR abs/1806.07755 (2018) - [i11]Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Frederick Tung, Leonid Sigal:
Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos. CoRR abs/1810.04511 (2018) - [i10]Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell:
Rethinking the Value of Network Pruning. CoRR abs/1810.05270 (2018) - [i9]Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark Campbell, Kilian Q. Weinberger:
Anytime Stereo Image Depth Estimation on Mobile Devices. CoRR abs/1810.11408 (2018) - [i8]Peng Lu, Gao Huang, Yanwei Fu, Guodong Guo, Hangyu Lin:
Learning Large Euclidean Margin for Sketch-based Image Retrieval. CoRR abs/1812.04275 (2018) - 2017
- [j13]Yang Fu, Yun Zhang, Yuan Gao, Huang Gao, Ting Mao, Huamin Zhou, Dequn Li:
Machining vibration states monitoring based on image representation using convolutional neural networks. Eng. Appl. Artif. Intell. 65: 240-251 (2017) - [j12]Yihe Wan, Shiji Song, Gao Huang, Shuang Li:
Twin extreme learning machines for pattern classification. Neurocomputing 260: 235-244 (2017) - [j11]Shuang Li, Shiji Song, Gao Huang:
Prediction Reweighting for Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1682-1695 (2017) - [j10]Shiji Song, Yanshang Gong, Yuli Zhang, Gao Huang, Guang-Bin Huang:
Dimension Reduction by Minimum Error Minimax Probability Machine. IEEE Trans. Syst. Man Cybern. Syst. 47(1): 58-69 (2017) - [c18]Gao Huang, Marco Ceccarelli, Weimin Zhang, Zhipeng Chi, Erbo Zhao, Qiang Huang:
Design and construction of a cycling-based wheelchair prototype. CBS 2017: 310-313 - [c17]Benben Jiang, Zhifeng Guo, Qunxiong Zhu, Gao Huang:
Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis. CCTA 2017: 1486-1491 - [c16]Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger:
Densely Connected Convolutional Networks. CVPR 2017: 2261-2269 - [c15]Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang:
Learning Efficient Convolutional Networks through Network Slimming. ICCV 2017: 2755-2763 - [c14]Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger:
Snapshot Ensembles: Train 1, Get M for Free. ICLR (Poster) 2017 - [c13]Gao Huang, Marco Ceccarelli, Weimin M. Zhang, Fei Meng, Tao Sun, Qiang Huang:
Design and Control of Linkage Exoskeletons in Wheelchair. RAAD 2017: 862-869 - [i7]Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger:
Multi-Scale Dense Convolutional Networks for Efficient Prediction. CoRR abs/1703.09844 (2017) - [i6]Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger:
Snapshot Ensembles: Train 1, get M for free. CoRR abs/1704.00109 (2017) - [i5]Geoff Pleiss, Danlu Chen, Gao Huang, Tongcheng Li, Laurens van der Maaten, Kilian Q. Weinberger:
Memory-Efficient Implementation of DenseNets. CoRR abs/1707.06990 (2017) - [i4]Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang:
Learning Efficient Convolutional Networks through Network Slimming. CoRR abs/1708.06519 (2017) - [i3]Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger:
CondenseNet: An Efficient DenseNet using Learned Group Convolutions. CoRR abs/1711.09224 (2017) - 2016
- [c12]Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger:
Deep Networks with Stochastic Depth. ECCV (4) 2016: 646-661 - [c11]Gao Huang, Chuan Guo, Matt J. Kusner, Yu Sun, Fei Sha, Kilian Q. Weinberger:
Supervised Word Mover's Distance. NIPS 2016: 4862-4870 - [c10]Gao Huang, Jiameng Fan, Weimin Zhang, Tony Xiao, Fei Meng, Marco Ceccarelli, Qiang Huang:
A master-slave control system for lower limb rehabilitation robot with pedal-actuated exoskeleton. RCAR 2016: 533-538 - [i2]Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger:
Deep Networks with Stochastic Depth. CoRR abs/1603.09382 (2016) - [i1]Gao Huang, Zhuang Liu, Kilian Q. Weinberger:
Densely Connected Convolutional Networks. CoRR abs/1608.06993 (2016) - 2015
- [j9]Quan Zhou, Shiji Song, Gao Huang, Cheng Wu:
Efficient Lasso training from a geometrical perspective. Neurocomputing 168: 234-239 (2015) - [j8]Chen Qin, Shiji Song, Gao Huang, Lei Zhu:
Unsupervised neighborhood component analysis for clustering. Neurocomputing 168: 609-617 (2015) - [j7]Gao Huang, Guang-Bin Huang, Shiji Song, Keyou You:
Trends in extreme learning machines: A review. Neural Networks 61: 32-48 (2015) - [j6]Gao Huang, Tianchi Liu, Yan Yang, Zhiping Lin, Shiji Song, Cheng Wu:
Discriminative clustering via extreme learning machine. Neural Networks 70: 1-8 (2015) - [c9]Gao Huang, Jianwen Zhang, Shiji Song, Zheng Chen:
Maximin Separation Probability Clustering. AAAI 2015: 2680-2686 - [c8]Ting Mao, Yun Zhang, Huamin Zhou, Dequn Li, Zhigao Huang, Huang Gao:
Data driven injection molding process monitoring using sparse auto encoder technique. AIM 2015: 524-528 - [c7]Yanshang Gong, Shiji Song, Gao Huang:
Dimension Reduction by Maximizing Pairwise Discriminations. SMC 2015: 1607-1612 - [c6]Yihe Wan, Shiji Song, Gao Huang:
Incremental Extreme Learning Machine Based on Cascade Neural Networks. SMC 2015: 1889-1894 - 2014
- [j5]Gao Huang, Shiji Song, Jatinder N. D. Gupta, Cheng Wu:
Semi-Supervised and Unsupervised Extreme Learning Machines. IEEE Trans. Cybern. 44(12): 2405-2417 (2014) - [c5]Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng:
Gradient boosted feature selection. KDD 2014: 522-531 - [c4]Gao Huang, Shiji Song, Zhixiang Eddie Xu, Kilian Q. Weinberger:
Transductive Minimax Probability Machine. ECML/PKDD (1) 2014: 579-594 - [c3]Gao Huang, Weimin Zhang, Fei Meng, Ye Tian, Qing Shi, Klaus Petersen, Atsuo Takanishi, Qiang Huang:
Development of an anthropomorphic flute robot for the application in science and technology museum. ROBIO 2014: 2220-2225 - [c2]Chen Qin, Shiji Song, Gao Huang:
Non-linear neighborhood component analysis based on constructive neural networks. SMC 2014: 1997-2002 - 2013
- [j4]Quan Zhou, Shiji Song, Cheng Wu, Gao Huang:
Kernelized LARS-LASSO for constructing radial basis function neural networks. Neural Comput. Appl. 23(7-8): 1969-1976 (2013) - [j3]Gao Huang, Shiji Song, Jatinder N. D. Gupta, Cheng Wu:
A second order cone programming approach for semi-supervised learning. Pattern Recognit. 46(12): 3548-3558 (2013) - [c1]Zhixiang Eddie Xu, Matt J. Kusner, Gao Huang, Kilian Q. Weinberger:
Anytime Representation Learning. ICML (3) 2013: 1076-1084 - 2012
- [j2]Gao Huang, Shiji Song, Cheng Wu:
Orthogonal Least Squares Algorithm for Training Cascade Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 59-I(11): 2629-2637 (2012) - [j1]Gao Huang, Shiji Song, Cheng Wu, Keyou You:
Robust Support Vector Regression for Uncertain Input and Output Data. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1690-1700 (2012)
Coauthor Index
aka: Honghui Shi
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