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ORCIDGao Huang 0001
Person information
- affiliation: Tsinghua University, Department of Automation, BNRist, Beijing, China
- affiliation (2015 - 2018): Cornell University, Ithaca, NY, USA
- affiliation (PhD 2015): Tsinghua University, Department of Automation, Beijing, China
Other persons with the same name
- Gao Huang 0002
![[0000-0002-0003-0184]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0003-0184")
— Beijing University of Technology, Faculty of Information Technology, Beijing, China (and 1 more) - Gao Huang 0004 — Zhejiang University, School of Mathematical Science, Hangzhou, China
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2020 – today
- 2025
[j65]Yukang Yang, Yu Wang, Tianyu Liu, Miao Wang, Ming Sun, Shiji Song, Wenhui Fan, Gao Huang:
Anatomical prior-based vertebral landmark detection for spinal disorder diagnosis. Artif. Intell. Medicine 159: 103011 (2025)- [j64]Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Shiji Song, Gao Huang:
Cross-modal adapter for vision-language retrieval. Pattern Recognit. 159: 111144 (2025) - [j63]Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang:
Domain Adaptation via Prompt Learning. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1160-1170 (2025) - 2024
- [j62]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) - [j61]Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang:
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 5890-5904 (2024) - [j60]Yizeng Han, Zeyu Liu, Zhihang Yuan, Yifan Pu, Chaofei Wang, Shiji Song, Gao Huang:
Latency-Aware Unified Dynamic Networks for Efficient Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7760-7774 (2024) - [j59]Yulin Wang, Yang Yue, Rui Lu, Yizeng Han, Shiji Song, Gao Huang:
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8036-8055 (2024) - [j58]Linwei Chen, Ying Fu, Lin Gu, Chenggang Yan, Tatsuya Harada, Gao Huang:
Frequency-Aware Feature Fusion for Dense Image Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10763-10780 (2024) - [j57]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) - [j56]Xuran Pan, Xiaoyan Han, Chaofei Wang, Zhuo Li, Shiji Song, Gao Huang, Cheng Wu:
A unified framework for convolution-based graph neural networks. Pattern Recognit. 155: 110597 (2024) - [j55]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) - [j54]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) - [j53]Jiayi Guo, Hayk Manukyan, Chenyu Yang, Chaofei Wang, Levon Khachatryan, Shant Navasardyan, Shiji Song, Humphrey Shi, Gao Huang:
FaceCLIP: Facial Image-to-Video Translation via a Brief Text Description. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4270-4284 (2024) - [j52]Le Yang, Ziwei Zheng, Yizeng Han, Shiji Song, Gao Huang, Fan Li:
OStr-DARTS: Differentiable Neural Architecture Search Based on Operation Strength. IEEE Trans. Cybern. 54(11): 6559-6572 (2024) - [j51]Yifan Pu, Yizeng Han, Yulin Wang, Junlan Feng, Chao Deng, Gao Huang:
Fine-Grained Recognition With Learnable Semantic Data Augmentation. IEEE Trans. Image Process. 33: 3130-3144 (2024) - [j50]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) - [j49]Lei Ren, Haiteng Wang, Gao Huang:
DLformer: A Dynamic Length Transformer-Based Network for Efficient Feature Representation in Remaining Useful Life Prediction. IEEE Trans. Neural Networks Learn. Syst. 35(5): 5942-5952 (2024) - [j48]Qisen Yang, Shenzhi Wang, Qihang Zhang, Gao Huang, Shiji Song:
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning With Expert Guidance. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16288-16300 (2024) - [j47]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) - [c113]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 - [c112]Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang:
ExpeL: LLM Agents Are Experiential Learners. AAAI 2024: 19632-19642 - [c111]Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen, Qisen Yang, Andrew Zhao, Chaofei Wang, Shiji Song, Gao Huang:
Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling. ACL (Findings) 2024: 9909-9953 - [c110]Qisen Yang, Zekun Wang, Honghui Chen, Shenzhi Wang, Yifan Pu, Xin Gao, Wenhao Huang, Shiji Song, Gao Huang:
PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents. ACL (1) 2024: 14470-14505 - [c109]Jenny Sheng, Matthieu Lin, Andrew Zhao, Kevin Pruvost, Yu-Hui Wen, Yangguang Li, Gao Huang, Yong-Jin Liu:
Exploring Text-to-Motion Generation with Human Preference. CVPR Workshops 2024: 1888-1899 - [c108]Zhuofan Xia, Dongchen Han, Yizeng Han, Xuran Pan, Shiji Song, Gao Huang:
GSVA: Generalized Segmentation via Multimodal Large Language Models. CVPR 2024: 3858-3869 - [c107]Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang:
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. CVPR 2024: 7007-7016 - [c106]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. CVPR 2024: 7548-7558 - [c105]Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi:
Prompt-Free Diffusion: Taking "Text" Out of Text-to-Image Diffusion Models. CVPR 2024: 8682-8692 - [c104]Yong Xien Chng, Henry Zheng, Yizeng Han, Xuchong Qiu, Gao Huang:
Mask Grounding for Referring Image Segmentation. CVPR 2024: 26563-26573 - [c103]Dongchen Han, Tianzhu Ye, Yizeng Han, Zhuofan Xia, Siyuan Pan, Pengfei Wan, Shiji Song, Gao Huang:
Agent Attention: On the Integration of Softmax and Linear Attention. ECCV (50) 2024: 124-140 - [c102]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. ECCV (34) 2024: 278-295 - [c101]Jiangshan Wang, Yifan Pu, Yizeng Han, Jiayi Guo, Yiru Wang, Xiu Li, Gao Huang:
GRA: Detecting Oriented Objects Through Group-Wise Rotating and Attention. ECCV (17) 2024: 298-315 - [c100]Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang:
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. ECCV (16) 2024: 302-319 - [c99]Le Yang, Ziwei Zheng, Yizeng Han, Hao Cheng, Shiji Song, Gao Huang, Fan Li:
DyFADet: Dynamic Feature Aggregation for Temporal Action Detection. ECCV (46) 2024: 305-322 - [c98]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. ECCV (75) 2024: 361-377 - [c97]Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang:
LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images. ECCV (83) 2024: 390-406 - [c96]Yifan Pu, Zhuofan Xia, Jiayi Guo, Dongchen Han, Qixiu Li, Duo Li, Yuhui Yuan, Ji Li, Yizeng Han, Shiji Song, Gao Huang, Li Xiu:
Efficient Diffusion Transformer with Step-Wise Dynamic Attention Mediators. ECCV (15) 2024: 424-441 - [c95]Guokun Wu, Shaqi Luo, Gao Huang, Xiang Li:
Vision-Based Detection and Real-Time Adaptive Control Schemes for Autonomous Ultrasound Scanning Robots. ICARM 2024: 631-636 - [c94]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. ICLR 2024 - [c93]Chaoqun Du, Yizeng Han, Gao Huang:
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning. ICML 2024 - [c92]Xiangjie Yan, Shaqi Luo, Yongpeng Jiang, Mingrui Yu, Chen Chen, Senqiang Zhu, Gao Huang, Shiji Song, Xiang Li:
A Unified Interaction Control Framework for Safe Robotic Ultrasound Scanning with Human-Intention-Aware Compliance. IROS 2024: 14004-14011 - [c91]Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang:
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train. ASMUS@MICCAI 2024: 58-67 - [c90]Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang:
Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model. MICCAI (1) 2024: 190-199 - [c89]Ziwei Zheng, Zechuan Zhang, Yulin Wang, Shiji Song, Gao Huang, Le Yang:
Rethinking the Architecture Design for Efficient Generic Event Boundary Detection. ACM Multimedia 2024: 1215-1224 - [c88]Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan, Xiu Li, Jiwen Lu, Shiji Song, Gao Huang:
Bridging the Divide: Reconsidering Softmax and Linear Attention. NeurIPS 2024 - [c87]Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu, Chunjiang Ge, Jun Song, Shiji Song, Bo Zheng, Gao Huang:
Demystify Mamba in Vision: A Linear Attention Perspective. NeurIPS 2024 - [c86]Rui Huang, Henry Zheng, Yan Wang, Zhuofan Xia, Marco Pavone, Gao Huang:
Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data. NeurIPS 2024 - [c85]Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang:
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. NeurIPS 2024 - [c84]Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai:
Learning 1D Causal Visual Representation with De-focus Attention Networks. NeurIPS 2024 - [c83]Jiangshan Wang, Yue Ma, Jiayi Guo, Yicheng Xiao, Gao Huang, Xiu Li:
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing. NeurIPS 2024 - [c82]Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang:
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution. NeurIPS 2024 - [c81]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. NeurIPS 2024 - [i156]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) - [i155]Chaoqun Du, Yizeng Han, Gao Huang:
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning. CoRR abs/2402.13505 (2024) - [i154]Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang:
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition. CoRR abs/2403.06726 (2024) - [i153]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) - [i152]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) - [i151]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) - [i150]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) - [i149]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) - [i148]Jenny Sheng, Matthieu Lin, Andrew Zhao, Kevin Pruvost, Yu-Hui Wen, Yangguang Li, Gao Huang, Yong-Jin Liu:
Exploring Text-to-Motion Generation with Human Preference. CoRR abs/2404.09445 (2024) - [i147]Yulin Wang, Yang Yue, Rui Lu, Yizeng Han, Shiji Song, Gao Huang:
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training. CoRR abs/2405.08768 (2024) - [i146]Chunjiang Ge, Sijie Cheng, Ziming Wang, Jiale Yuan, Yuan Gao, Jun Song, Shiji Song, Gao Huang, Bo Zheng:
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models. CoRR abs/2405.15738 (2024) - [i145]Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu, Chunjiang Ge, Jun Song, Shiji Song, Bo Zheng, Gao Huang:
Demystify Mamba in Vision: A Linear Attention Perspective. CoRR abs/2405.16605 (2024) - [i144]Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang:
DiveR-CT: Diversity-enhanced Red Teaming with Relaxing Constraints. CoRR abs/2405.19026 (2024) - [i143]Jinchao Zhu, Yuxuan Wang, Siyuan Pan, Pengfei Wan, Di Zhang, Gao Huang:
A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance Strategies. CoRR abs/2406.00210 (2024) - [i142]Jiayi Guo, Junhao Zhao, Chunjiang Ge, Chaoqun Du, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang:
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. CoRR abs/2406.04295 (2024) - [i141]Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai:
Learning 1D Causal Visual Representation with De-focus Attention Networks. CoRR abs/2406.04342 (2024) - [i140]Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang:
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. CoRR abs/2406.05478 (2024) - [i139]Jiangshan Wang, Yue Ma, Jiayi Guo, Yicheng Xiao, Gao Huang, Xiu Li:
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing. CoRR abs/2406.08850 (2024) - [i138]Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang:
Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model. CoRR abs/2406.13165 (2024) - [i137]Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang:
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train. CoRR abs/2406.19756 (2024) - [i136]Le Yang, Ziwei Zheng, Yizeng Han, Hao Cheng, Shiji Song, Gao Huang, Fan Li:
DyFADet: Dynamic Feature Aggregation for Temporal Action Detection. CoRR abs/2407.03197 (2024) - [i135]Huanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang:
Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing. CoRR abs/2407.08770 (2024) - [i134]Ziwei Zheng, Zechuan Zhang, Yulin Wang, Shiji Song, Gao Huang, Le Yang:
Rethinking the Architecture Design for Efficient Generic Event Boundary Detection. CoRR abs/2407.12622 (2024) - [i133]Chaoqun Du, Yulin Wang, Jiayi Guo, Yizeng Han, Jie Zhou, Gao Huang:
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation. CoRR abs/2407.20080 (2024) - [i132]Yifan Pu, Zhuofan Xia, Jiayi Guo, Dongchen Han, Qixiu Li, Duo Li, Yuhui Yuan, Ji Li, Yizeng Han, Shiji Song, Gao Huang, Xiu Li:
Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators. CoRR abs/2408.05710 (2024) - [i131]Linwei Chen, Ying Fu, Lin Gu, Chenggang Yan, Tatsuya Harada, Gao Huang:
Frequency-aware Feature Fusion for Dense Image Prediction. CoRR abs/2408.12879 (2024) - [i130]Haojun Jiang, Zhenguo Sun, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang:
Sequence-aware Pre-training for Echocardiography Probe Guidance. CoRR abs/2408.15026 (2024) - [i129]Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang:
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. CoRR abs/2409.00342 (2024) - [i128]Zheng Liu, Jinchao Zhu, Nannan Li, Gao Huang:
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer. CoRR abs/2409.13999 (2024) - [i127]Le Yang, Ziwei Zheng, Yizeng Han, Shiji Song, Gao Huang, Fan Li:
OStr-DARTS: Differentiable Neural Architecture Search based on Operation Strength. CoRR abs/2409.14433 (2024) - [i126]Yong Xien Chng, Xuchong Qiu, Yizeng Han, Kai Ding, Wan Ding, Gao Huang:
Semantic Refocused Tuning for Open-Vocabulary Panoptic Segmentation. CoRR abs/2409.16278 (2024) - [i125]Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You:
Dynamic Diffusion Transformer. CoRR abs/2410.03456 (2024) - [i124]Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei:
Differential Transformer. CoRR abs/2410.05258 (2024) - [i123]Matthieu Lin, Jenny Sheng, Andrew Zhao, Shenzhi Wang, Yang Yue, Yiran Wu, Huan Liu, Jun Liu, Gao Huang, Yong-Jin Liu:
LLM-based Optimization of Compound AI Systems: A Survey. CoRR abs/2410.16392 (2024) - [i122]Yong Xien Chng, Xuchong Qiu, Yizeng Han, Yifan Pu, Jiewei Cao, Gao Huang:
Exploring contextual modeling with linear complexity for point cloud segmentation. CoRR abs/2410.21211 (2024) - [i121]Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang:
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution. CoRR abs/2411.02359 (2024) - [i120]Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng:
How Far is Video Generation from World Model: A Physical Law Perspective. CoRR abs/2411.02385 (2024) - [i119]Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang:
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. CoRR abs/2411.06959 (2024) - [i118]Rui Huang, Henry Zheng, Yan Wang, Zhuofan Xia, Marco Pavone, Gao Huang:
Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data. CoRR abs/2411.15657 (2024) - [i117]Honghui Wang, Yifan Pu, Shiji Song, Gao Huang:
Advancing Generalization in PINNs through Latent-Space Representations. CoRR abs/2411.19125 (2024) - [i116]Xiangjie Yan, Shaqi Luo, Yongpeng Jiang, Mingrui Yu, Chen Chen, Senqiang Zhu, Gao Huang, Shiji Song, Xiang Li:
A Unified Interaction Control Framework for Safe Robotic Ultrasound Scanning with Human-Intention-Aware Compliance. CoRR abs/2411.19545 (2024) - [i115]Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan, Xiu Li, Jiwen Lu, Shiji Song, Gao Huang:
Bridging the Divide: Reconsidering Softmax and Linear Attention. CoRR abs/2412.06590 (2024) - [i114]Yulin Wang, Haoji Zhang, Yang Yue, Shiji Song, Chao Deng, Junlan Feng, Gao Huang:
Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video Recognition. CoRR abs/2412.11228 (2024) - [i113]Chenxin Tao, Shiqian Su, Xizhou Zhu, Chenyu Zhang, Zhe Chen, Jiawen Liu, Wenhai Wang, Lewei Lu, Gao Huang, Yu Qiao, Jifeng Dai:
HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding. CoRR abs/2412.16158 (2024) - 2023
- [j46]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) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [c80]Chunjiang Ge, Shiji Song, Gao Huang:
Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism. AAAI 2023: 658-666 - [c79]Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi:
Boosted Dynamic Neural Networks. AAAI 2023: 10989-10997 - [c78]Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. AAAI 2023: 11069-11077 - [c77]Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang:
Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention. CVPR 2023: 2082-2091 - [c76]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 - [c75]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 - [c74]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 - [c73]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 - [c72]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 - [c71]Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang:
FLatten Transformer: Vision Transformer using Focused Linear Attention. ICCV 2023: 5938-5948 - [c70]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 - [c69]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 - [c68]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 - [c67]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 - [c66]Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue, Shiji Song, Gao Huang:
Budgeted Training for Vision Transformer. ICLR 2023 - [c65]Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang:
Boosting Offline Reinforcement Learning with Action Preference Query. ICML 2023: 39509-39523 - [c64]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 - [c63]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 - [c62]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 - [c61]Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang:
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. NeurIPS 2023 - [c60]Weipu Zhang, Gang Wang, Jian Sun, Yetian Yuan, Gao Huang:
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning. NeurIPS 2023 - [i112]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) - [i111]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) - [i110]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) - [i109]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) - [i108]Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang:
Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention. CoRR abs/2304.04237 (2023) - [i107]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) - [i106]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) - [i105]Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang:
Boosting Offline Reinforcement Learning with Action Preference Query. CoRR abs/2306.03362 (2023) - [i104]Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan:
Offline Prioritized Experience Replay. CoRR abs/2306.05412 (2023) - [i103]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) - [i102]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) - [i101]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) - [i100]Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang:
FLatten Transformer: Vision Transformer using Focused Linear Attention. CoRR abs/2308.00442 (2023) - [i99]Honghui Wang, Lu Lu, Shiji Song, Gao Huang:
Learning Specialized Activation Functions for Physics-informed Neural Networks. CoRR abs/2308.04073 (2023) - [i98]Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang:
ExpeL: LLM Agents Are Experiential Learners. CoRR abs/2308.10144 (2023) - [i97]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) - [i96]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) - [i95]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) - [i94]Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang:
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention. CoRR abs/2309.01430 (2023) - [i93]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) - [i92]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) - [i91]Jiayun Li, Yuxiao Cheng, Zhuofan Xia, Yilin Mo, Gao Huang:
Generalized Activation via Multivariate Projection. CoRR abs/2309.17194 (2023) - [i90]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) - [i89]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) - [i88]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) - [i87]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) - [i86]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) - [i85]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) - [i84]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) - [i83]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) - [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
- [j40]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) - [j39]Chaofei Wang, Ke Yang, Shaowei Zhang, Gao Huang, Shiji Song:
TC3KD: Knowledge distillation via teacher-student cooperative curriculum customization. Neurocomputing 508: 284-292 (2022) - [j38]Min-Ling Zhang, Xiu-Shen Wei, Gao Huang:
Preface. J. Comput. Sci. Technol. 37(3): 505-506 (2022) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [j32]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) - [j31]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) - [j30]Gao Huang, Chaoqun Du:
The High Separation Probability Assumption for Semi-Supervised Learning. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7561-7573 (2022) - [c59]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 - [c58]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 - [c57]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 - [c56]Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang:
Vision Transformer with Deformable Attention. CVPR 2022: 4784-4793 - [c55]Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi:
DiSparse: Disentangled Sparsification for Multitask Model Compression. CVPR 2022: 12372-12382 - [c54]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 - [c53]Haojun Jiang, Yuanze Lin, Dongchen Han, Shiji Song, Gao Huang:
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding. CVPR 2022: 15492-15502 - [c52]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 - [c51]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 - [c50]Xuran Pan, Zihang Lai, Shiji Song, Gao Huang:
ActiveNeRF: Learning Where to See with Uncertainty Estimation. ECCV (33) 2022: 230-246 - [c49]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 - [c48]Chaofei Wang, Shaowei Zhang, Shiji Song, Gao Huang:
Learn From the Past: Experience Ensemble Knowledge Distillation. ICPR 2022: 4736-4743 - [c47]Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang:
Latency-aware Spatial-wise Dynamic Networks. NeurIPS 2022 - [c46]Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang:
Provable General Function Class Representation Learning in Multitask Bandits and MDP. NeurIPS 2022 - [c45]Xuran Pan, Tianzhu Ye, Dongchen Han, Shiji Song, Gao Huang:
Contrastive Language-Image Pre-Training with Knowledge Graphs. NeurIPS 2022 - [c44]Chaofei Wang, Qisen Yang, Rui Huang, Shiji Song, Gao Huang:
Efficient Knowledge Distillation from Model Checkpoints. NeurIPS 2022 - [c43]Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang:
A Mixture Of Surprises for Unsupervised Reinforcement Learning. NeurIPS 2022 - [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
- [j29]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) - [j28]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) - [j27]Chaofei Wang, Shiji Song, Qisen Yang, Xiang Li, Gao Huang:
Fine-grained few shot learning with foreground object transformation. Neurocomputing 466: 16-26 (2021) - [j26]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) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]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) - [c42]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 - [c41]Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang:
3D Object Detection With Pointformer. CVPR 2021: 7463-7472 - [c40]Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin:
Cross-Iteration Batch Normalization. CVPR 2021: 12331-12340 - [c39]Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang:
Towards Learning Spatially Discriminative Feature Representations. ICCV 2021: 1306-1315 - [c38]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 - [c37]Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang:
Adaptive Focus for Efficient Video Recognition. ICCV 2021: 16229-16238 - [c36]Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai:
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. ICLR 2021 - [c35]Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang:
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. ICLR 2021 - [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]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
- [j19]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) - [j18]Yulin Wang, Rui Huang, Gao Huang, Shiji Song, Cheng Wu:
Collaborative learning with corrupted labels. Neural Networks 125: 205-213 (2020) - [c29]Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang:
Domain Conditioned Adaptation Network. AAAI 2020: 11386-11393 - [c28]Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang:
Resolution Adaptive Networks for Efficient Inference. CVPR 2020: 2366-2375 - [c27]Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin:
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. ECCV (1) 2020: 531-548 - [c26]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
- [j17]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) - [j16]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) - [j15]Le Yang, Shiji Song, Yanshang Gong, Gao Huang, Cheng Wu:
Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3205-3210 (2019) - [j14]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) - [c25]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 - [c24]Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang:
Improved Techniques for Training Adaptive Deep Networks. ICCV 2019: 1891-1900 - [c23]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 - [c22]Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell:
Rethinking the Value of Network Pruning. ICLR (Poster) 2019 - [c21]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 - [c20]Shuang Li, Chi Harold Liu, Binhui Xie, Limin Su, Zhengming Ding, Gao Huang:
Joint Adversarial Domain Adaptation. ACM Multimedia 2019: 729-737 - [c19]Haowei He, Gao Huang, Yang Yuan:
Asymmetric Valleys: Beyond Sharp and Flat Local Minima. NeurIPS 2019: 2549-2560 - [c18]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 - [c17]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
- [j13]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) - [c16]Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger:
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions. CVPR 2018: 2752-2761 - [c15]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 - [c14]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
- [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) - [c13]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 - [c12]Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger:
Densely Connected Convolutional Networks. CVPR 2017: 2261-2269 - [c11]Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang:
Learning Efficient Convolutional Networks through Network Slimming. ICCV 2017: 2755-2763 - [c10]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 - [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
- [c9]Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger:
Deep Networks with Stochastic Depth. ECCV (4) 2016: 646-661 - [c8]Gao Huang, Chuan Guo, Matt J. Kusner, Yu Sun, Fei Sha, Kilian Q. Weinberger:
Supervised Word Mover's Distance. NIPS 2016: 4862-4870 - [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) - [c7]Gao Huang, Jianwen Zhang, Shiji Song, Zheng Chen:
Maximin Separation Probability Clustering. AAAI 2015: 2680-2686 - [c6]Yanshang Gong, Shiji Song, Gao Huang:
Dimension Reduction by Maximizing Pairwise Discriminations. SMC 2015: 1607-1612 - [c5]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) - [c4]Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng:
Gradient boosted feature selection. KDD 2014: 522-531 - [c3]Gao Huang, Shiji Song, Zhixiang Eddie Xu, Kilian Q. Weinberger:
Transductive Minimax Probability Machine. ECML/PKDD (1) 2014: 579-594 - [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
[j60] [j59] [j52] [j51] [c108] [c104] [c103] [c101] [c99] [c96] [c93] [c88] [c87] [c85] [c82] [c81] [i155] [i151] [i149] [i147] [i145] [i136] [i133] [i132] [i127] [i126] [i125] [i122] [i121] [i119] [i115] [c71] [c70] [c69] [i110] [i102] [i100] [i97] [i96] [i95] [i82] [i81] [i80] [j34] [c49] [c47] [i68] [i65] [j22] [c39] [c37] [i52] [i47] [i42] [c28] [i29]
Matthieu Lin
aka: Matthieu Gaetan Lin
aka: Matthieu Gaetan Lin
Humphrey Shi
aka: Honghui Shi
aka: Honghui Shi
[j65] [j64] [j63] [j61] [j60] [j59] [j57] [j56] [j55] [j53] [j52] [j48] [j47] [c111] [c110] [c108] [c107] [c106] [c103] [c102] [c99] [c96] [c92] [c91] [c90] [c89] [c88] [c87] [c82] [i156] [i154] [i147] [i146] [i145] [i142] [i140] [i138] [i137] [i136] [i135] [i134] [i132] [i130] [i127] [i121] [i117] [i116] [i115] [i114] [j45] [j42] [j41] [c80] [c77] [c75] [c72] [c71] [c70] [c69] [c66] [c65] [c62] [c61] [i112] [i110] [i109] [i108] [i105] [i104] [i102] [i100] [i99] [i97] [i96] [i94] [i93] [i92] [i90] [i89] [i86] [i83] [i82] [i81] [i79] [j40] [j39] [j37] [j36] [j34] [j32] [j31] [c58] [c56] [c54] [c53] [c51] [c50] [c49] [c48] [c47] [c45] [c44] [i78] [i77] [i76] [i75] [i74] [i68] [i67] [i66] [i65] [i64] [i62] [i60] [i59] [j29] [j28] [j27] [j24] [j22] [j21] [j20] [c42] [c41] [c39] [c37] [c35] [c31] [i53] [i52] [i48] [i47] [i46] [i42] [i41] [i40] [i39] [i36] [j18] [c28] [c26] [i30] [i29] [i25] [i24] [i23] [i20] [j15] [j14] [c18] [c17] [i16] [i15] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [c7] [c6] [c5] [j5] [c3] [c2] [j4] [j3] [j2] [j1]
[j62] [j61] [j59] [j54] [j51] [c107] [c100] [c89] [c85] [c82] [i154] [i147] [i140] [i134] [i133] [i129] [i121] [i119] [i114] [j45] [c72] [c70] [c69] [c68] [c67] [i110] [i102] [i97] [i95] [j36] [j34] [c52] [c51] [i77] [i66] [i59] [i55] [c42] [c37] [c35] [c31] [i53] [i52] [i48] [i47] [i46] [i35] [j18] [c26] [i25] [i24] [i23] [c17] [i15]
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