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ORCIDGao Huang 0001
Person information
- affiliation: Tsinghua University, Department of Automation, 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 (aka: Huang Gao) — disambiguation page
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2020 – today
- 2024
[j45]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)- [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [c62]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 - [i95]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) - [i94]Chaoqun Du, Yizeng Han, Gao Huang:
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning. CoRR abs/2402.13505 (2024) - [i93]Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang:
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition. CoRR abs/2403.06726 (2024) - [i92]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) - [i91]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) - [i90]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) - [i89]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) - [i88]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) - [i87]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) - [i86]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) - [i85]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) - [i84]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) - [i83]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) - [i82]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) - [i81]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) - 2023
- [j37]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) - [j36]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) - [j35]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) - [j34]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) - [c61]Chunjiang Ge, Shiji Song, Gao Huang:
Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism. AAAI 2023: 658-666 - [c60]Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang:
Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention. CVPR 2023: 2082-2091 - [c59]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 - [c58]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 - [c57]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 - [c56]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 - [c55]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 - [c54]Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang:
FLatten Transformer: Vision Transformer using Focused Linear Attention. ICCV 2023: 5938-5948 - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue, Shiji Song, Gao Huang:
Budgeted Training for Vision Transformer. ICLR 2023 - [c48]Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang:
Boosting Offline Reinforcement Learning with Action Preference Query. ICML 2023: 39509-39523 - [c47]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 - [c46]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 - [c45]Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang:
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. NeurIPS 2023 - [i80]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) - [i79]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) - [i78]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) - [i77]Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang:
Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention. CoRR abs/2304.04237 (2023) - [i76]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) - [i75]Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang:
Boosting Offline Reinforcement Learning with Action Preference Query. CoRR abs/2306.03362 (2023) - [i74]Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan:
Offline Prioritized Experience Replay. CoRR abs/2306.05412 (2023) - [i73]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) - [i72]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) - [i71]Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang:
FLatten Transformer: Vision Transformer using Focused Linear Attention. CoRR abs/2308.00442 (2023) - [i70]Honghui Wang, Lu Lu, Shiji Song, Gao Huang:
Learning Specialized Activation Functions for Physics-informed Neural Networks. CoRR abs/2308.04073 (2023) - [i69]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) - [i68]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) - [i67]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) - [i66]Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang:
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention. CoRR abs/2309.01430 (2023) - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]Yong Xien Chng, Henry Zheng, Yizeng Han, Xuchong Qiu, Gao Huang:
Mask Grounding for Referring Image Segmentation. CoRR abs/2312.12198 (2023) - [i56]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
- [j33]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) - [j32]Chaofei Wang, Ke Yang, Shaowei Zhang, Gao Huang, Shiji Song:
TC3KD: Knowledge distillation via teacher-student cooperative curriculum customization. Neurocomputing 508: 284-292 (2022) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [c44]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 - [c43]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 - [c42]Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang:
Vision Transformer with Deformable Attention. CVPR 2022: 4784-4793 - [c41]Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi:
DiSparse: Disentangled Sparsification for Multitask Model Compression. CVPR 2022: 12372-12382 - [c40]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 - [c39]Haojun Jiang, Yuanze Lin, Dongchen Han, Shiji Song, Gao Huang:
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding. CVPR 2022: 15492-15502 - [c38]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 - [c37]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 - [c36]Xuran Pan, Zihang Lai, Shiji Song, Gao Huang:
ActiveNeRF: Learning Where to See with Uncertainty Estimation. ECCV (33) 2022: 230-246 - [c35]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 - [c34]Chaofei Wang, Shaowei Zhang, Shiji Song, Gao Huang:
Learn From the Past: Experience Ensemble Knowledge Distillation. ICPR 2022: 4736-4743 - [c33]Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang:
Latency-aware Spatial-wise Dynamic Networks. NeurIPS 2022 - [c32]Xuran Pan, Tianzhu Ye, Dongchen Han, Shiji Song, Gao Huang:
Contrastive Language-Image Pre-Training with Knowledge Graphs. NeurIPS 2022 - [c31]Chaofei Wang, Qisen Yang, Rui Huang, Shiji Song, Gao Huang:
Efficient Knowledge Distillation from Model Checkpoints. NeurIPS 2022 - [i55]Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang:
Vision Transformer with Deformable Attention. CoRR abs/2201.00520 (2022) - [i54]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) - [i53]Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang:
Domain Adaptation via Prompt Learning. CoRR abs/2202.06687 (2022) - [i52]Chaofei Wang, Shaowei Zhang, Shiji Song, Gao Huang:
Learn From the Past: Experience Ensemble Knowledge Distillation. CoRR abs/2202.12488 (2022) - [i51]Haojun Jiang, Yuanze Lin, Dongchen Han, Shiji Song, Gao Huang:
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding. CoRR abs/2203.08481 (2022) - [i50]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) - [i49]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) - [i48]Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi:
DiSparse: Disentangled Sparsification for Multitask Model Compression. CoRR abs/2206.04662 (2022) - [i47]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) - [i46]Xuran Pan, Zihang Lai, Shiji Song, Gao Huang:
ActiveNeRF: Learning where to See with Uncertainty Estimation. CoRR abs/2209.08546 (2022) - [i45]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) - [i44]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) - [i43]Chaofei Wang, Qisen Yang, Rui Huang, Shiji Song, Gao Huang:
Efficient Knowledge Distillation from Model Checkpoints. CoRR abs/2210.06458 (2022) - [i42]Xuran Pan, Tianzhu Ye, Dongchen Han, Shiji Song, Gao Huang:
Contrastive Language-Image Pre-Training with Knowledge Graphs. CoRR abs/2210.08901 (2022) - [i41]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) - [i40]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) - [i39]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) - [i38]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) - [i37]Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang:
Deep Model Assembling. CoRR abs/2212.04129 (2022) - 2021
- [j24]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) - [j23]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) - [j22]Chaofei Wang, Shiji Song, Qisen Yang, Xiang Li, Gao Huang:
Fine-grained few shot learning with foreground object transformation. Neurocomputing 466: 16-26 (2021) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [j17]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) - [c30]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 - [c29]Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang:
3D Object Detection With Pointformer. CVPR 2021: 7463-7472 - [c28]Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang:
Towards Learning Spatially Discriminative Feature Representations. ICCV 2021: 1306-1315 - [c27]Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang:
Adaptive Focus for Efficient Video Recognition. ICCV 2021: 16229-16238 - [c26]Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai:
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. ICLR 2021 - [c25]Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang:
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. ICLR 2021 - [c24]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 - [c23]Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai:
Searching Parameterized AP Loss for Object Detection. NeurIPS 2021: 22021-22033 - [i36]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) - [i35]Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang:
Dynamic Neural Networks: A Survey. CoRR abs/2102.04906 (2021) - [i34]Shuang Li, Binhui Xie, Qiuxia Lin, Chi Harold Liu, Gao Huang, Guoren Wang:
Generalized Domain Conditioned Adaptation Network. CoRR abs/2103.12339 (2021) - [i33]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) - [i32]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) - [i31]Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang:
Adaptive Focus for Efficient Video Recognition. CoRR abs/2105.03245 (2021) - [i30]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) - [i29]Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang:
Towards Learning Spatially Discriminative Feature Representations. CoRR abs/2109.01359 (2021) - [i28]Chaofei Wang, Shiji Song, Qisen Yang, Xiang Li, Gao Huang:
Fine-Grained Few Shot Learning with Foreground Object Transformation. CoRR abs/2109.05719 (2021) - [i27]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) - [i26]Wenjie Shi, Gao Huang, Shiji Song, Cheng Wu:
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning. CoRR abs/2112.03020 (2021) - [i25]Chenxin Tao, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai:
Searching Parameterized AP Loss for Object Detection. CoRR abs/2112.05138 (2021) - [i24]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) - [i23]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
- [j16]Yulin Wang, Rui Huang, Gao Huang, Shiji Song, Cheng Wu:
Collaborative learning with corrupted labels. Neural Networks 125: 205-213 (2020) - [c22]Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang:
Domain Conditioned Adaptation Network. AAAI 2020: 11386-11393 - [c21]Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang:
Resolution Adaptive Networks for Efficient Inference. CVPR 2020: 2366-2375 - [c20]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 - [i22]Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger:
Convolutional Networks with Dense Connectivity. CoRR abs/2001.02394 (2020) - [i21]Wenjie Shi, Shiji Song, Zhuoyuan Wang, Gao Huang:
Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning. CoRR abs/2003.07069 (2020) - [i20]Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang:
Resolution Adaptive Networks for Efficient Inference. CoRR abs/2003.07326 (2020) - [i19]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) - [i18]Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang:
Domain Conditioned Adaptation Network. CoRR abs/2005.06717 (2020) - [i17]Yulin Wang, Jiayi Guo, Shiji Song, Gao Huang:
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning. CoRR abs/2007.02394 (2020) - [i16]Yulin Wang, Gao Huang, Shiji Song, Xuran Pan, Yitong Xia, Cheng Wu:
Regularizing Deep Networks with Semantic Data Augmentation. CoRR abs/2007.10538 (2020) - [i15]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) - [i14]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) - [i13]Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang:
3D Object Detection with Pointformer. CoRR abs/2012.11409 (2020)
2010 – 2019
- 2019
- [j15]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) - [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) - [c19]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 - [c18]Shuang Li, Chi Harold Liu, Binhui Xie, Limin Su, Zhengming Ding, Gao Huang:
Joint Adversarial Domain Adaptation. ACM Multimedia 2019: 729-737 - [c17]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 - [c16]Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Gao Huang, Cheng Wu:
Implicit Semantic Data Augmentation for Deep Networks. NeurIPS 2019: 12614-12623 - [i12]Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng:
Gradient Boosted Feature Selection. CoRR abs/1901.04055 (2019) - [i11]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) - [i10]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) - [c15]Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger:
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions. CVPR 2018: 2752-2761 - [c14]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 - [c13]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 - [i9]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) - [i8]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) - [i7]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) - 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) - [c12]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 - [c11]Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger:
Densely Connected Convolutional Networks. CVPR 2017: 2261-2269 - [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 - [i6]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) - [i5]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) - [i4]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) - [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
[j44] [j43] [j42] [j40] [j38] [i95] [i93] [i90] [i89] [i88] [i87] [i85] [i84] [i83] [i82] [i81] [j37] [j35] [j34] [c61] [c60] [c58] [c55] [c54] [c53] [c52] [c49] [c48] [c46] [c45] [i80] [i79] [i78] [i77] [i75] [i74] [i72] [i71] [i70] [i69] [i68] [i66] [i65] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i56] [j33] [j32] [j31] [j30] [j28] [j26] [j25] [c44] [c42] [c40] [c39] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [i55] [i54] [i53] [i52] [i51] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [j24] [j23] [j22] [j20] [j19] [j18] [j17] [c30] [c29] [c28] [c27] [c25] [c24] [i36] [i35] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [j16] [c21] [c20] [i21] [i20] [i17] [i16] [i15] [i13] [j14] [c17] [c16] [i11] [i10] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [c7] [c6] [c5] [j5] [c3] [c2] [j4] [j3] [j2] [j1]
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