Orthogonal Least Squares Algorithm for Training Cascade Neural Networks. - Gao Huang 001; Shiji Song; Cheng Wu (IEEE Trans. Circuits Syst. I Regul. Pap., 2012)

Robust Support Vector Regression for Uncertain Input and Output Data. - Gao Huang 001; Shiji Song; Cheng Wu; Keyou You (IEEE Trans. Neural Networks Learn. Syst., 2012)

Anytime Representation Learning. - Zhixiang Eddie Xu; Matt J. Kusner; Gao Huang 001; Kilian Q. Weinberger (ICML (3), 2013)

Kernelized LARS-LASSO for constructing radial basis function neural networks. - Quan Zhou; Shiji Song; Cheng Wu; Gao Huang 001 (Neural Comput. Appl., 2013)

A second order cone programming approach for semi-supervised learning. - Gao Huang 001; Shiji Song; Jatinder N. D. Gupta; Cheng Wu (Pattern Recognit., 2013)

Gradient boosted feature selection. - Zhixiang Eddie Xu; Gao Huang 001; Kilian Q. Weinberger; Alice X. Zheng (KDD, 2014)

Transductive Minimax Probability Machine. - Gao Huang 001; Shiji Song; Zhixiang Eddie Xu; Kilian Q. Weinberger (ECML/PKDD (1), 2014)

Non-linear neighborhood component analysis based on constructive neural networks. - Chen Qin; Shiji Song; Gao Huang 001 (SMC, 2014)

Semi-Supervised and Unsupervised Extreme Learning Machines. - Gao Huang 001; Shiji Song; Jatinder N. D. Gupta; Cheng Wu (IEEE Trans. Cybern., 2014)

Maximin Separation Probability Clustering. - Gao Huang 001; Jianwen Zhang; Shiji Song; Zheng Chen 001 (AAAI, 2015)

Dimension Reduction by Maximizing Pairwise Discriminations. - Yanshang Gong; Shiji Song; Gao Huang 001 (SMC, 2015)

Incremental Extreme Learning Machine Based on Cascade Neural Networks. - Yihe Wan; Shiji Song; Gao Huang 001 (SMC, 2015)

Unsupervised neighborhood component analysis for clustering. - Chen Qin; Shiji Song; Gao Huang 001; Lei Zhu (Neurocomputing, 2015)

Efficient Lasso training from a geometrical perspective. - Quan Zhou; Shiji Song; Gao Huang 001; Cheng Wu (Neurocomputing, 2015)

Trends in extreme learning machines: A review. - Gao Huang 001; Guang-Bin Huang; Shiji Song; Keyou You (Neural Networks, 2015)

Discriminative clustering via extreme learning machine. - Gao Huang 001; Tianchi Liu 001; Yan Yang; Zhiping Lin 001; Shiji Song; Cheng Wu (Neural Networks, 2015)

Deep Networks with Stochastic Depth. - Gao Huang 001; Yu Sun 020; Zhuang Liu 003; Daniel Sedra; Kilian Q. Weinberger (ECCV (4), 2016)

Supervised Word Mover's Distance. - Gao Huang 001; Chuan Guo 001; Matt J. Kusner; Yu Sun 020; Fei Sha; Kilian Q. Weinberger (NIPS, 2016)

Densely Connected Convolutional Networks. - Gao Huang 001; Zhuang Liu 003; Kilian Q. Weinberger (CoRR, 2016)

Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis. - Benben Jiang; Zhifeng Guo; Qunxiong Zhu; Gao Huang 001 (CCTA, 2017)

Densely Connected Convolutional Networks. - Gao Huang 001; Zhuang Liu 003; Laurens van der Maaten; Kilian Q. Weinberger (CVPR, 2017)

Learning Efficient Convolutional Networks through Network Slimming. - Zhuang Liu 003; Jianguo Li; Zhiqiang Shen; Gao Huang 001; Shoumeng Yan; Changshui Zhang (ICCV, 2017)

Snapshot Ensembles: Train 1, Get M for Free. - Gao Huang 001; Yixuan Li 001; Geoff Pleiss; Zhuang Liu 003; John E. Hopcroft; Kilian Q. Weinberger (ICLR (Poster), 2017)

Multi-Scale Dense Convolutional Networks for Efficient Prediction. - Gao Huang 001; Danlu Chen; Tianhong Li; Felix Wu; Laurens van der Maaten; Kilian Q. Weinberger (CoRR, 2017)

Memory-Efficient Implementation of DenseNets. - Geoff Pleiss; Danlu Chen; Gao Huang 001; Tongcheng Li; Laurens van der Maaten; Kilian Q. Weinberger (CoRR, 2017)

Twin extreme learning machines for pattern classification. - Yihe Wan; Shiji Song; Gao Huang 001; Shuang Li 008 (Neurocomputing, 2017)

Prediction Reweighting for Domain Adaptation. - Shuang Li 008; Shiji Song; Gao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Dimension Reduction by Minimum Error Minimax Probability Machine. - Shiji Song; Yanshang Gong; Yuli Zhang; Gao Huang 001; Guang-Bin Huang (IEEE Trans. Syst. Man Cybern. Syst., 2017)

CondenseNet: An Efficient DenseNet Using Learned Group Convolutions. - Gao Huang 001; Shichen Liu; Laurens van der Maaten; Kilian Q. Weinberger (CVPR, 2018)

Resource Aware Person Re-Identification Across Multiple Resolutions. - Yan Wang 051; Lequn Wang; Yurong You; Xu Zou 001; Vincent Chen; Serena Li; Gao Huang 001; Bharath Hariharan; Kilian Q. Weinberger (CVPR, 2018)

Multi-Scale Dense Networks for Resource Efficient Image Classification. - Gao Huang 001; Danlu Chen; Tianhong Li; Felix Wu; Laurens van der Maaten; Kilian Q. Weinberger (ICLR, 2018)

An empirical study on evaluation metrics of generative adversarial networks. - Qiantong Xu; Gao Huang 001; Yang Yuan 010; Chuan Guo 001; Yu Sun 020; Felix Wu; Kilian Q. Weinberger (CoRR, 2018)

Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos. - Lili Meng; Bo Zhao 032; Bo Chang 002; Gao Huang 001; Frederick Tung; Leonid Sigal (CoRR, 2018)

Learning Large Euclidean Margin for Sketch-based Image Retrieval. - Peng Lu; Gao Huang 001; Yanwei Fu 001; Guodong Guo; Hangyu Lin (CoRR, 2018)

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation. - Shuang Li 008; Shiji Song; Gao Huang 001; Zhengming Ding; Cheng Wu (IEEE Trans. Image Process., 2018)

Horizontal Pyramid Matching for Person Re-Identification. - Yang Fu; Yunchao Wei; Yuqian Zhou; Honghui Shi; Gao Huang 001; Xinchao Wang; Zhiqiang Yao; Thomas S. Huang (AAAI, 2019)

Improved Techniques for Training Adaptive Deep Networks. - Hao Li 069; Hong Zhang 009; Xiaojuan Qi 001; Ruigang Yang; Gao Huang 001 (ICCV, 2019)

Interpretable Spatio-Temporal Attention for Video Action Recognition. - Lili Meng; Bo Zhao 032; Bo Chang 002; Gao Huang 001; Wei Sun; Frederick Tung; Leonid Sigal (ICCV Workshops, 2019)

Rethinking the Value of Network Pruning. - Zhuang Liu 003; Mingjie Sun; Tinghui Zhou; Gao Huang 001; Trevor Darrell (ICLR (Poster), 2019)

Anytime Stereo Image Depth Estimation on Mobile Devices. - Yan Wang 051; Zihang Lai; Gao Huang 001; Brian H. Wang; Laurens van der Maaten; Mark E. Campbell; Kilian Q. Weinberger (ICRA, 2019)

Joint Adversarial Domain Adaptation. - Shuang Li 008; Chi Harold Liu; Binhui Xie; Limin Su; Zhengming Ding; Gao Huang 001 (ACM Multimedia, 2019)

Asymmetric Valleys: Beyond Sharp and Flat Local Minima. - Haowei He; Gao Huang 001; Yang Yuan 010 (NeurIPS, 2019)

Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning. - Wenjie Shi; Shiji Song; Hui Wu 002; Ya-Chu Hsu; Cheng Wu; Gao Huang 001 (NeurIPS, 2019)

Implicit Semantic Data Augmentation for Deep Networks. - Yulin Wang 002; Xuran Pan; Shiji Song; Hong Zhang 009; Gao Huang 001; Cheng Wu (NeurIPS, 2019)

Learning decomposed subspaces for supervised bidirectional image generation. - Peng Lu; Hangyu Lin; Yanwei Fu 001; Gao Huang 001; Libo Wu (Cogn. Comput. Syst., 2019)

Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis. - Benben Jiang; Zhifeng Guo; Qunxiong Zhu; Gao Huang 001 (IEEE Trans. Control. Syst. Technol., 2019)

Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability. - Le Yang 007; Shiji Song; Yanshang Gong; Gao Huang 001; Cheng Wu (IEEE Trans. Neural Networks Learn. Syst., 2019)

Cross-Domain Extreme Learning Machines for Domain Adaptation. - Shuang Li 008; Shiji Song; Gao Huang 001; Cheng Wu (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Domain Conditioned Adaptation Network. - Shuang Li 008; Chi Harold Liu; Qiuxia Lin; Binhui Xie; Zhengming Ding; Gao Huang 001; Jian Tang 008 (AAAI, 2020)

Resolution Adaptive Networks for Efficient Inference. - Le Yang 007; Yizeng Han; Xi Chen; Shiji Song; Jifeng Dai; Gao Huang 001 (CVPR, 2020)

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. - Zhenda Xie; Zheng Zhang 022; Xizhou Zhu; Gao Huang 001; Stephen Lin 001 (ECCV (1), 2020)

Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification. - Yulin Wang 002; Kangchen Lv; Rui Huang 012; Shiji Song; Le Yang 007; Gao Huang 001 (NeurIPS, 2020)

FSD-10: A Dataset for Competitive Sports Content Analysis. - Shenglan Liu 001; Xiang Liu; Gao Huang 001; Lin Feng 001; Lianyu Hu 002; Dong Jiang; Aibin Zhang; Yang Liu 066; Hong Qiao (CoRR, 2020)

Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning. - Wenjie Shi; Shiji Song; Zhuoyuan Wang; Gao Huang 001 (CoRR, 2020)

Meta-Semi: A Meta-learning Approach for Semi-supervised Learning. - Yulin Wang 002; Jiayi Guo; Shiji Song; Gao Huang 001 (CoRR, 2020)

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. - Mu Cai; Hong Zhang 009; Huijuan Huang; Qichuan Geng; Gao Huang 001 (CoRR, 2020)

FSD-10: A fine-grained classification dataset for figure skating. - Shenglan Liu 001; Xiang Liu; Gao Huang 001; Hong Qiao; Lianyu Hu 002; Dong Jiang; Aibin Zhang; Yang Liu 066; Ge Guo (Neurocomputing, 2020)

Collaborative learning with corrupted labels. - Yulin Wang 002; Rui Huang 012; Gao Huang 001; Shiji Song; Cheng Wu (Neural Networks, 2020)

3D Object Detection With Pointformer. - Xuran Pan; Zhuofan Xia; Shiji Song; Li Erran Li; Gao Huang 001 (CVPR, 2021)

CondenseNet V2: Sparse Feature Reactivation for Deep Networks. - Le Yang 007; Haojun Jiang; Ruojin Cai; Yulin Wang 002; Shiji Song; Gao Huang 001; Qi Tian 001 (CVPR, 2021)

Cross-Iteration Batch Normalization. - Zhuliang Yao; Yue Cao 001; Shuxin Zheng; Gao Huang 001; Stephen Lin 001 (CVPR, 2021)

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. - Mu Cai; Hong Zhang 009; Huijuan Huang; Qichuan Geng; Yixuan Li 001; Gao Huang 001 (ICCV, 2021)

Adaptive Focus for Efficient Video Recognition. - Yulin Wang 002; Zhaoxi Chen 007; Haojun Jiang; Shiji Song; Yizeng Han; Gao Huang 001 (ICCV, 2021)

Towards Learning Spatially Discriminative Feature Representations. - Chaofei Wang; Jiayu Xiao; Yizeng Han; Qisen Yang; Shiji Song; Gao Huang 001 (ICCV, 2021)

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. - Hao Li 069; Chenxin Tao; Xizhou Zhu; Xiaogang Wang 001; Gao Huang 001; Jifeng Dai (ICLR, 2021)

Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. - Yulin Wang 002; Zanlin Ni; Shiji Song; Le Yang 007; Gao Huang 001 (ICLR, 2021)

Evolving Attention with Residual Convolutions. - Yujing Wang; Yaming Yang 001; Jiangang Bai; Mingliang Zhang 004; Jing Bai 010; Jing Yu 007; Ce Zhang 001; Gao Huang 001; Yunhai Tong (ICML, 2021)

Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin Softmax. - Peng Lu; Gao Huang 001; Hangyu Lin; Wenming Yang; Guodong Guo; Yanwei Fu 001 (ACM Multimedia, 2021)

Searching Parameterized AP Loss for Object Detection. - Chenxin Tao; Zizhang Li; Xizhou Zhu; Gao Huang 001; Yong Liu 033; Jifeng Dai (NeurIPS, 2021)

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition. - Yulin Wang 002; Rui Huang 012; Shiji Song; Zeyi Huang; Gao Huang 001 (NeurIPS, 2021)

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning. - Yiqin Yang; Xiaoteng Ma; Chenghao Li 002; Zewu Zheng; Qiyuan Zhang; Gao Huang 001; Jun Yang 028; Qianchuan Zhao (NeurIPS, 2021)

Large scale air pollution prediction with deep convolutional networks. - Gao Huang 001; Chunjiang Ge; Tianyu Xiong; Shiji Song; Le Yang 007; Baoxian Liu; Wenjun Yin; Cheng Wu (Sci. China Inf. Sci., 2021)

Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length. - Yulin Wang 002; Rui Huang 012; Shiji Song; Zeyi Huang; Gao Huang 001 (CoRR, 2021)

On the Power of Multitask Representation Learning in Linear MDP. - Rui Lu; Gao Huang 001; Simon S. Du (CoRR, 2021)

Integrating Circle Kernels into Convolutional Neural Networks. - Kun He 001; Chao Li 068; Yixiao Yang; Gao Huang 001; John E. Hopcroft (CoRR, 2021)

Fine-grained few shot learning with foreground object transformation. - Chaofei Wang; Shiji Song; Qisen Yang; Xiang Li 009; Gao Huang 001 (Neurocomputing, 2021)

Fusion layer attention for image-text matching. - Depeng Wang; Liejun Wang; Shiji Song; Gao Huang 001; Yuchen Guo; Shuli Cheng; Naixiang Ao; Anyu Du (Neurocomputing, 2021)

A privacy-preserving image retrieval scheme based secure kNN, DNA coding and deep hashing. - Shuli Cheng; Lie-Jun Wang; Gao Huang 001; Anyu Du (Multim. Tools Appl., 2021)

Deep Residual Correction Network for Partial Domain Adaptation. - Shuang Li 008; Chi Harold Liu; Qiuxia Lin; Qi Wen; Limin Su; Gao Huang 001; Zhengming Ding (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Deep Siamese Networks Based Change Detection with Remote Sensing Images. - Le Yang 007; Yiming Chen 005; Shiji Song; Fan Li 003; Gao Huang 001 (Remote. Sens., 2021)

Gated Path Selection Network for Semantic Segmentation. - Qichuan Geng; Hong Zhang 009; Xiaojuan Qi 001; Gao Huang 001; Ruigang Yang; Zhong Zhou (IEEE Trans. Image Process., 2021)

Spatially Adaptive Feature Refinement for Efficient Inference. - Yizeng Han; Gao Huang 001; Shiji Song; Le Yang 007; Yitian Zhang; Haojun Jiang (IEEE Trans. Image Process., 2021)

Self-Attention-Based Temporary Curiosity in Reinforcement Learning Exploration. - Hangkai Hu; Shiji Song; Gao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Graph Embedding-Based Dimension Reduction With Extreme Learning Machine. - Le Yang 007; Shiji Song; Shuang Li 008; Yiming Chen 005; Gao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Assessing a Single Image in Reference-Guided Image Synthesis. - Jiayi Guo; Chaoqun Du; Jiangshan Wang; Huijuan Huang; Pengfei Wan 001; Gao Huang 001 (AAAI, 2022)

Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding. - Haojun Jiang; Yuanze Lin; Dongchen Han; Shiji Song; Gao Huang 001 (CVPR, 2022)

AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks. - Hao Li 069; Tianwen Fu; Jifeng Dai; Hongsheng Li 001; Gao Huang 001; Xizhou Zhu (CVPR, 2022)

On the Integration of Self-Attention and Convolution. - Xuran Pan; Chunjiang Ge; Rui Lu; Shiji Song; Guanfu Chen; Zeyi Huang; Gao Huang 001 (CVPR, 2022)

DiSparse: Disentangled Sparsification for Multitask Model Compression. - Xinglong Sun; Ali Hassani 001; Zhangyang Wang; Gao Huang 001; Humphrey Shi (CVPR, 2022)

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. - Chenxin Tao; Honghui Wang; Xizhou Zhu; Jiahua Dong 002; Shiji Song; Gao Huang 001; Jifeng Dai (CVPR, 2022)

AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. - Yulin Wang 002; Yang Yue; Yuanze Lin; Haojun Jiang; Zihang Lai; Victor Kulikov; Nikita Orlov; Humphrey Shi; Gao Huang 001 (CVPR, 2022)

Vision Transformer with Deformable Attention. - Zhuofan Xia; Xuran Pan; Shiji Song; Li Erran Li; Gao Huang 001 (CVPR, 2022)

Learning to Weight Samples for Dynamic Early-Exiting Networks. - Yizeng Han; Yifan Pu; Zihang Lai; Chaofei Wang; Shiji Song; Junfen Cao; Wenhui Huang; Chao Deng 004; Gao Huang 001 (ECCV (11), 2022)

ActiveNeRF: Learning Where to See with Uncertainty Estimation. - Xuran Pan; Zihang Lai; Shiji Song; Gao Huang 001 (ECCV (33), 2022)

AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition. - Yulin Wang 002; Yang Yue; Xinhong Xu; Ali Hassani 001; Victor Kulikov; Nikita Orlov; Shiji Song; Humphrey Shi; Gao Huang 001 (ECCV (4), 2022)

Learn From the Past: Experience Ensemble Knowledge Distillation. - Chaofei Wang; Shaowei Zhang; Shiji Song; Gao Huang 001 (ICPR, 2022)

Latency-aware Spatial-wise Dynamic Networks. - Yizeng Han; Zhihang Yuan; Yifan Pu; Chenhao Xue; Shiji Song; Guangyu Sun 003; Gao Huang 001 (NeurIPS, 2022)

Provable General Function Class Representation Learning in Multitask Bandits and MDP. - Rui Lu; Andrew Zhao; Simon S. Du; Gao Huang 001 (NeurIPS, 2022)

Contrastive Language-Image Pre-Training with Knowledge Graphs. - Xuran Pan; Tianzhu Ye; Dongchen Han; Shiji Song; Gao Huang 001 (NeurIPS, 2022)

Efficient Knowledge Distillation from Model Checkpoints. - Chaofei Wang; Qisen Yang; Rui Huang 012; Shiji Song; Gao Huang 001 (NeurIPS, 2022)

A Mixture Of Surprises for Unsupervised Reinforcement Learning. - Andrew Zhao; Matthieu Gaetan Lin; Yangguang Li 001; Yong-Jin Liu 001; Gao Huang 001 (NeurIPS, 2022)

Provable General Function Class Representation Learning in Multitask Bandits and MDPs. - Rui Lu; Andrew Zhao; Simon S. Du; Gao Huang 001 (CoRR, 2022)

Siamese Image Modeling for Self-Supervised Vision Representation Learning. - Chenxin Tao; Xizhou Zhu; Gao Huang 001; Yu Qiao 001; Xiaogang Wang 001; Jifeng Dai (CoRR, 2022)

Boosting Offline Reinforcement Learning via Data Rebalancing. - Yang Yue; Bingyi Kang; Xiao Ma 006; Zhongwen Xu; Gao Huang 001; Shuicheng Yan (CoRR, 2022)

Cross-Modal Adapter for Text-Video Retrieval. - Haojun Jiang; Jianke Zhang; Rui Huang 012; Chunjiang Ge; Zanlin Ni; Jiwen Lu; Jie Zhou 001; Shiji Song; Gao Huang 001 (CoRR, 2022)

Deep Model Assembling. - Zanlin Ni; Yulin Wang 002; Jiangwei Yu; Haojun Jiang; Yue Cao 001; Gao Huang 001 (CoRR, 2022)

PLAM: A plug-in module for flexible graph attention learning. - Xuran Pan; Shiji Song; Yiming Chen 005; Liejun Wang; Gao Huang 001 (Neurocomputing, 2022)

TC3KD: Knowledge distillation via teacher-student cooperative curriculum customization. - Chaofei Wang; Ke Yang; Shaowei Zhang; Gao Huang 001; Shiji Song (Neurocomputing, 2022)

Preface. - Min-Ling Zhang; Xiu-Shen Wei; Gao Huang 001 (J. Comput. Sci. Technol., 2022)

Dynamic Neural Networks: A Survey. - Yizeng Han; Gao Huang 001; Shiji Song; Le Yang 007; Honghui Wang; Yulin Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Convolutional Networks with Dense Connectivity. - Gao Huang 001; Zhuang Liu 003; Geoff Pleiss; Laurens van der Maaten; Kilian Q. Weinberger (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Generalized Domain Conditioned Adaptation Network. - Shuang Li 008; Binhui Xie; Qiuxia Lin; Chi Harold Liu; Gao Huang 001; Guoren Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning. - Wenjie Shi; Gao Huang 001; Shiji Song; Cheng Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Self-Supervised Discovering of Interpretable Features for Reinforcement Learning. - Wenjie Shi; Gao Huang 001; Shiji Song; Zhuoyuan Wang; Tingyu Lin 001; Cheng Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Regularizing Deep Networks With Semantic Data Augmentation. - Yulin Wang 002; Gao Huang 001; Shiji Song; Xuran Pan; Yitong Xia; Cheng Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Attention-Based Meta-Reinforcement Learning for Tracking Control of AUV With Time-Varying Dynamics. - Peng Jiang 011; Shiji Song; Gao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

The High Separation Probability Assumption for Semi-Supervised Learning. - Gao Huang 001; Chaoqun Du (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism. - Chunjiang Ge; Shiji Song; Gao Huang 001 (AAAI, 2023)

Boosted Dynamic Neural Networks. - Haichao Yu; Haoxiang Li; Gang Hua 001; Gao Huang 001; Humphrey Shi (AAAI, 2023)

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. - Yang Yue; Bingyi Kang; Zhongwen Xu; Gao Huang 001; Shuicheng Yan (AAAI, 2023)

Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information. - Weijie Su 002; Xizhou Zhu; Chenxin Tao; Lewei Lu; Bin Li 025; Gao Huang 001; Yu Qiao 001; Xiaogang Wang 001; Jie Zhou 001; Jifeng Dai (CVPR, 2023)

Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning. - Jiayi Guo; Chaofei Wang; You Wu; Eric J. Zhang; Kai Wang 058; Xingqian Xu; Shiji Song; Humphrey Shi; Gao Huang 001 (CVPR, 2023)

Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention. - Xuran Pan; Tianzhu Ye; Zhuofan Xia; Shiji Song; Gao Huang 001 (CVPR, 2023)

Siamese Image Modeling for Self-Supervised Vision Representation Learning. - Chenxin Tao; Xizhou Zhu; Weijie Su 002; Gao Huang 001; Bin Li 025; Jie Zhou 001; Yu Qiao 001; Xiaogang Wang 001; Jifeng Dai (CVPR, 2023)

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. - Chenyu Yang; Yuntao Chen; Hao Tian 006; Chenxin Tao; Xizhou Zhu; Zhaoxiang Zhang 001; Gao Huang 001; Hongyang Li 001; Yu Qiao 001; Lewei Lu; Jie Zhou 001; Jifeng Dai (CVPR, 2023)

Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm. - Wenxuan Ma 001; Shuang Li 008; Jinming Zhang; Chi Harold Liu; Jingxuan Kang; Yulin Wang 002; Gao Huang 001 (ICCV, 2023)

Dynamic Perceiver for Efficient Visual Recognition. - Yizeng Han; Dongchen Han; Zeyu Liu; Yulin Wang 002; Xuran Pan; Yifan Pu; Chao Deng 004; Junlan Feng; Shiji Song; Gao Huang 001 (ICCV, 2023)

FLatten Transformer: Vision Transformer using Focused Linear Attention. - Dongchen Han; Xuran Pan; Yizeng Han; Shiji Song; Gao Huang 001 (ICCV, 2023)

Deep Incubation: Training Large Models by Divide-and-Conquering. - Zanlin Ni; Yulin Wang 002; Jiangwei Yu; Haojun Jiang; Yue Cao 001; Gao Huang 001 (ICCV, 2023)

Adaptive Rotated Convolution for Rotated Object Detection. - Yifan Pu; Yiru Wang; Zhuofan Xia; Yizeng Han; Yulin Wang 002; Weihao Gan; Zidong Wang 011; Shiji Song; Gao Huang 001 (ICCV, 2023)

EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. - Yulin Wang 002; Yang Yue; Rui Lu; Tianjiao Liu; Zhao Zhong; Shiji Song; Gao Huang 001 (ICCV, 2023)

Budgeted Training for Vision Transformer. - Zhuofan Xia; Xuran Pan; Xuan Jin; Yuan He 011; Hui Xue 001; Shiji Song; Gao Huang 001 (ICLR, 2023)

Boosting Offline Reinforcement Learning with Action Preference Query. - Qisen Yang; Shenzhi Wang; Matthieu Gaetan Lin; Shiji Song; Gao Huang 001 (ICML, 2023)

Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds. - Kangchen Lv; Mingrui Yu; Yifan Pu; Xin Jiang 001; Gao Huang 001; Xiang Li 009 (ICRA, 2023)

Rank-DETR for High Quality Object Detection. - Yifan Pu; Weicong Liang; Yiduo Hao; Yuhui Yuan; Yukang Yang; Chao Zhang 001; Han Hu 001; Gao Huang 001 (NeurIPS, 2023)

Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning. - Shenzhi Wang; Qisen Yang; Jiawei Gao 004; Matthieu Gaetan Lin; Hao Chen; Liwei Wu; Ning Jia; Shiji Song; Gao Huang 001 (NeurIPS, 2023)

Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. - Yang Yue; Rui Lu; Bingyi Kang; Shiji Song; Gao Huang 001 (NeurIPS, 2023)

STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning. - Weipu Zhang; Gang Wang 014; Jian Sun 003; Yetian Yuan; Gao Huang 001 (NeurIPS, 2023)

Joint Representation Learning for Text and 3D Point Cloud. - Rui Huang 012; Xuran Pan; Henry Zheng; Haojun Jiang; Zhifeng Xie; Shiji Song; Gao Huang 001 (CoRR, 2023)

Multi-Modal Interaction Control of Ultrasound Scanning Robots with Safe Human Guidance and Contact Recovery. - Xiangjie Yan; Yongpeng Jiang; Guokun Wu; Chen Chen 087; Gao Huang 001; Xiang Li 009 (CoRR, 2023)

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory. - Xizhou Zhu; Yuntao Chen; Hao Tian 006; Chenxin Tao; Weijie Su 002; Chenyu Yang; Gao Huang 001; Bin Li 025; Lewei Lu; Xiaogang Wang 001; Yu Qiao 001; Zhaoxiang Zhang 001; et al. (CoRR, 2023)

Offline Prioritized Experience Replay. - Yang Yue; Bingyi Kang; Xiao Ma 006; Gao Huang 001; Shiji Song; Shuicheng Yan (CoRR, 2023)

Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition. - Shenglan Liu 001; Yu-Ning Ding; Jinrong Zhang; Kai-Yuan Liu; Si-Fan Zhang; Feilong Wang; Gao Huang 001 (CoRR, 2023)

Learning Specialized Activation Functions for Physics-informed Neural Networks. - Honghui Wang; Lu Lu; Shiji Song; Gao Huang 001 (CoRR, 2023)

Computation-efficient Deep Learning for Computer Vision: A Survey. - Yulin Wang 002; Yizeng Han; Chaofei Wang; Shiji Song; Qi Tian 001; Gao Huang 001 (CoRR, 2023)

DAT++: Spatially Dynamic Vision Transformer with Deformable Attention. - Zhuofan Xia; Xuran Pan; Shiji Song; Li Erran Li; Gao Huang 001 (CoRR, 2023)

Generalized Activation via Multivariate Projection. - Jiayun Li 001; Yuxiao Cheng; Zhuofan Xia; Yilin Mo; Gao Huang 001 (CoRR, 2023)

Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation. - Shenzhi Wang; Chang Liu; Zilong Zheng; Siyuan Qi; Shuo Chen; Qisen Yang; Andrew Zhao; Chaofei Wang; Shiji Song; Gao Huang 001 (CoRR, 2023)

Detecting Generated Images by Real Images Only. - Xiuli Bi; Bo Liu 047; Fan Yang; Bin Xiao 002; Weisheng Li 001; Gao Huang 001; Pamela C. Cosman (CoRR, 2023)

Augmenting Unsupervised Reinforcement Learning with Self-Reference. - Andrew Zhao; Erle Zhu; Rui Lu; Matthieu Lin; Yong-Jin Liu 001; Gao Huang 001 (CoRR, 2023)

Agent Attention: On the Integration of Softmax and Linear Attention. - Dongchen Han; Tianzhu Ye; Yizeng Han; Zhuofan Xia; Shiji Song; Gao Huang 001 (CoRR, 2023)

Meta-Reinforcement Learning With Dynamic Adaptiveness Distillation. - Hangkai Hu; Gao Huang 001; Xiang Li 009; Shiji Song (IEEE Trans. Neural Networks Learn. Syst., 2023)

Glance and Focus Networks for Dynamic Visual Recognition. - Gao Huang 001; Yulin Wang 002; Kangchen Lv; Haojun Jiang; Wenhui Huang; Pengfei Qi; Shiji Song (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Convolution-Enhanced Evolving Attention Networks. - Yujing Wang; Yaming Yang 001; Zhuo Li; Jiangang Bai; Mingliang Zhang 004; Xiangtai Li; Jing Yu 007; Ce Zhang 001; Gao Huang 001; Yunhai Tong (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation. - Binhui Xie; Shuang Li 008; Mingjia Li 003; Chi Harold Liu; Gao Huang 001; Guoren Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Exploration With Task Information for Meta Reinforcement Learning. - Peng Jiang 011; Shiji Song; Gao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Competitive Meta-Learning. - Boxi Weng; Jian Sun 003; Gao Huang 001; Fang Deng; Gang Wang 014; Jie Chen 003 (IEEE CAA J. Autom. Sinica, 2023)

Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation. - Matthieu Lin; Jenny Sheng; Yubin Hu 001; Yangguang Li 001; Lu Qi; Andrew Zhao; Gao Huang 001; Yong-Jin Liu 001 (AAAI, 2024)

ExpeL: LLM Agents Are Experiential Learners. - Andrew Zhao; Daniel Huang 007; Quentin Xu; Matthieu Lin; Yong-Jin Liu 001; Gao Huang 001 (AAAI, 2024)

Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling. - Shenzhi Wang; Chang Liu; Zilong Zheng; Siyuan Qi; Shuo Chen; Qisen Yang; Andrew Zhao; Chaofei Wang; Shiji Song; Gao Huang 001 (ACL (Findings), 2024)

PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents. - Qisen Yang; Zekun Wang; Honghui Chen; Shenzhi Wang; Yifan Pu; Xin Gao; Wenhao Huang 001; Shiji Song; Gao Huang 001 (ACL (1), 2024)

Mask Grounding for Referring Image Segmentation. - Yong Xien Chng; Henry Zheng; Yizeng Han; Xuchong Qiu; Gao Huang 001 (CVPR, 2024)

Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models. - Jiayi Guo; Xingqian Xu; Yifan Pu; Zanlin Ni; Chaofei Wang; Manushree Vasu; Shiji Song; Gao Huang 001; Humphrey Shi (CVPR, 2024)

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Shiji Song; Yuan Yao 013; Gao Huang 001 (CVPR, 2024)

Exploring Text-to-Motion Generation with Human Preference. - Jenny Sheng; Matthieu Lin; Andrew Zhao; Kevin Pruvost; Yu-Hui Wen; Yangguang Li 001; Gao Huang 001; Yong-Jin Liu 001 (CVPR Workshops, 2024)

GSVA: Generalized Segmentation via Multimodal Large Language Models. - Zhuofan Xia; Dongchen Han; Yizeng Han; Xuran Pan; Shiji Song; Gao Huang 001 (CVPR, 2024)

Prompt-Free Diffusion: Taking "Text" Out of Text-to-Image Diffusion Models. - Xingqian Xu; Jiayi Guo; Zhangyang Wang; Gao Huang 001; Irfan Essa; Humphrey Shi (CVPR, 2024)

LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images. - Zonghao Guo; Ruyi Xu; Yuan Yao 013; Junbo Cui; Zanlin Ni; Chunjiang Ge; Tat-Seng Chua; Zhiyuan Liu 001; Gao Huang 001 (ECCV (83), 2024)

Agent Attention: On the Integration of Softmax and Linear Attention. - Dongchen Han; Tianzhu Ye; Yizeng Han; Zhuofan Xia; Siyuan Pan; Pengfei Wan 001; Shiji Song; Gao Huang 001 (ECCV (50), 2024)

Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation Without Manual Labels. - Rui Huang 012; Songyou Peng; Ayça Takmaz; Federico Tombari; Marc Pollefeys; Shiji Song; Gao Huang 001; Francis Engelmann (ECCV (34), 2024)

Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering. - Zeyu Liu; Weicong Liang; Zhanhao Liang; Chong Luo 001; Ji Li 006; Gao Huang 001; Yuhui Yuan (ECCV (75), 2024)

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Rui Lu; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Yuan Yao 013; Gao Huang 001 (ECCV (16), 2024)

Efficient Diffusion Transformer with Step-Wise Dynamic Attention Mediators. - Yifan Pu; Zhuofan Xia; Jiayi Guo; Dongchen Han; Qixiu Li; Duo Li; Yuhui Yuan; Ji Li 006; Yizeng Han; Shiji Song; Gao Huang 001; Xiu Li 001 (ECCV (15), 2024)

GRA: Detecting Oriented Objects Through Group-Wise Rotating and Attention. - Jiangshan Wang; Yifan Pu; Yizeng Han; Jiayi Guo; Yiru Wang; Xiu Li 001; Gao Huang 001 (ECCV (17), 2024)

DyFADet: Dynamic Feature Aggregation for Temporal Action Detection. - Le Yang 007; Ziwei Zheng; Yizeng Han; Hao Cheng; Shiji Song; Gao Huang 001; Fan Li 003 (ECCV (46), 2024)

Vision-Based Detection and Real-Time Adaptive Control Schemes for Autonomous Ultrasound Scanning Robots. - Guokun Wu; Shaqi Luo; Gao Huang 001; Xiang Li 009 (ICARM, 2024)

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process. - Changyao Tian; Chenxin Tao; Jifeng Dai; Hao Li 069; Ziheng Li; Lewei Lu; Xiaogang Wang 001; Hongsheng Li 001; Gao Huang 001; Xizhou Zhu (ICLR, 2024)

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning. - Chaoqun Du; Yizeng Han; Gao Huang 001 (ICML, 2024)

A Unified Interaction Control Framework for Safe Robotic Ultrasound Scanning with Human-Intention-Aware Compliance. - Xiangjie Yan; Shaqi Luo; Yongpeng Jiang; Mingrui Yu; Chen Chen 087; Senqiang Zhu; Gao Huang 001; Shiji Song; Xiang Li 009 (IROS, 2024)

Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train. - Haojun Jiang; Meng Li; Zhenguo Sun; Ning Jia; Yu Sun 020; Shaqi Luo; Shiji Song; Gao Huang 001 (ASMUS@MICCAI, 2024)

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model. - Haojun Jiang; Zhenguo Sun; Ning Jia; Meng Li; Yu Sun 020; Shaqi Luo; Shiji Song; Gao Huang 001 (MICCAI (1), 2024)

Rethinking the Architecture Design for Efficient Generic Event Boundary Detection. - Ziwei Zheng; Zechuan Zhang; Yulin Wang 002; Shiji Song; Gao Huang 001; Le Yang 007 (ACM Multimedia, 2024)

Bridging the Divide: Reconsidering Softmax and Linear Attention. - Dongchen Han; Yifan Pu; Zhuofan Xia; Yizeng Han; Xuran Pan; Xiu Li 001; Jiwen Lu; Shiji Song; Gao Huang 001 (NeurIPS, 2024)

Demystify Mamba in Vision: A Linear Attention Perspective. - Dongchen Han; Ziyi Wang; Zhuofan Xia; Yizeng Han; Yifan Pu; Chunjiang Ge; Jun Song; Shiji Song; Bo Zheng; Gao Huang 001 (NeurIPS, 2024)

Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data. - Rui Huang 012; Henry Zheng; Yan Wang 051; Zhuofan Xia; Marco Pavone 001; Gao Huang 001 (NeurIPS, 2024)

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Yizeng Han; Jiayi Guo; Zhiyuan Liu 001; Yuan Yao 013; Gao Huang 001 (NeurIPS, 2024)

Learning 1D Causal Visual Representation with De-focus Attention Networks. - Chenxin Tao; Xizhou Zhu; Shiqian Su; Lewei Lu; Changyao Tian; Xuan Luo; Gao Huang 001; Hongsheng Li 001; Yu Qiao 001; Jie Zhou 001; Jifeng Dai (NeurIPS, 2024)

COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing. - Jiangshan Wang; Yue Ma 016; Jiayi Guo; Yicheng Xiao; Gao Huang 001; Xiu Li 001 (NeurIPS, 2024)

DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution. - Yang Yue; Yulin Wang 002; Bingyi Kang; Yizeng Han; Shenzhi Wang; Shiji Song; Jiashi Feng; Gao Huang 001 (NeurIPS, 2024)

Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation. - Wangbo Zhao; Jiasheng Tang; Yizeng Han; Yibing Song; Kai Wang 036; Gao Huang 001; Fan Wang 019; Yang You 001 (NeurIPS, 2024)

LLM Agents for Psychology: A Study on Gamified Assessments. - Qisen Yang; Zekun Wang; Honghui Chen; Shenzhi Wang; Yifan Pu; Xin Gao; Wenhao Huang 001; Shiji Song; Gao Huang 001 (CoRR, 2024)

2023 Low-Power Computer Vision Challenge (LPCVC) Summary. - Leo Chen; Benjamin Boardley; Ping Hu; Yiru Wang; Yifan Pu; Xin Jin; Yongqiang Yao; Ruihao Gong; Bo Li 026; Gao Huang 001; Xianglong Liu 001; Zifu Wan; et al. (CoRR, 2024)

LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. - Ruyi Xu; Yuan Yao 013; Zonghao Guo; Junbo Cui; Zanlin Ni; Chunjiang Ge; Tat-Seng Chua; Zhiyuan Liu 001; Maosong Sun 001; Gao Huang 001 (CoRR, 2024)

ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models. - Chunjiang Ge; Sijie Cheng; Ziming Wang; Jiale Yuan; Yuan Gao; Jun Song; Shiji Song; Gao Huang 001; Bo Zheng (CoRR, 2024)

DiveR-CT: Diversity-enhanced Red Teaming with Relaxing Constraints. - Andrew Zhao; Quentin Xu; Matthieu Lin; Shenzhi Wang; Yong-Jin Liu 001; Zilong Zheng; Gao Huang 001 (CoRR, 2024)

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. - Jiayi Guo; Junhao Zhao; Chunjiang Ge; Chaoqun Du; Zanlin Ni; Shiji Song; Humphrey Shi; Gao Huang 001 (CoRR, 2024)

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Shiji Song; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation. - Chaoqun Du; Yulin Wang 002; Jiayi Guo; Yizeng Han; Jie Zhou 001; Gao Huang 001 (CoRR, 2024)

Sequence-aware Pre-training for Echocardiography Probe Guidance. - Haojun Jiang; Zhenguo Sun; Yu Sun 020; Ning Jia; Meng Li; Shaqi Luo; Shiji Song; Gao Huang 001 (CoRR, 2024)

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Rui Lu; Jiayi Guo; Jinyi Hu; Zhiyuan Liu 001; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer. - Zheng Liu; Jinchao Zhu; Nannan Li; Gao Huang 001 (CoRR, 2024)

Semantic Refocused Tuning for Open-Vocabulary Panoptic Segmentation. - Yong Xien Chng; Xuchong Qiu; Yizeng Han; Kai Ding; Wan Ding; Gao Huang 001 (CoRR, 2024)

LLM-based Optimization of Compound AI Systems: A Survey. - Matthieu Lin; Jenny Sheng; Andrew Zhao; Shenzhi Wang; Yang Yue; Yiran Wu; Huan Liu; Jun Liu; Gao Huang 001; Yong-Jin Liu 001 (CoRR, 2024)

Exploring contextual modeling with linear complexity for point cloud segmentation. - Yong Xien Chng; Xuchong Qiu; Yizeng Han; Yifan Pu; Jiewei Cao; Gao Huang 001 (CoRR, 2024)

How Far is Video Generation from World Model: A Physical Law Perspective. - Bingyi Kang; Yang Yue; Rui Lu; Zhijie Lin 001; Yang Zhao 003; Kaixin Wang; Gao Huang 001; Jiashi Feng (CoRR, 2024)

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. - Zanlin Ni; Yulin Wang 002; Renping Zhou; Yizeng Han; Jiayi Guo; Zhiyuan Liu 001; Yuan Yao 011; Gao Huang 001 (CoRR, 2024)

Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data. - Rui Huang 012; Henry Zheng; Yan Wang 051; Zhuofan Xia; Marco Pavone 001; Gao Huang 001 (CoRR, 2024)

Advancing Generalization in PINNs through Latent-Space Representations. - Honghui Wang; Yifan Pu; Shiji Song; Gao Huang 001 (CoRR, 2024)

A unified framework for convolution-based graph neural networks. - Xuran Pan; Xiaoyan Han; Chaofei Wang; Zhuo Li; Shiji Song; Gao Huang 001; Cheng Wu (Pattern Recognit., 2024)

Fine-Grained Recognition With Learnable Semantic Data Augmentation. - Yifan Pu; Yizeng Han; Yulin Wang 002; Junlan Feng; Chao Deng 004; Gao Huang 001 (IEEE Trans. Image Process., 2024)

AdaDet: An Adaptive Object Detection System Based on Early-Exit Neural Networks. - Le Yang 007; Ziwei Zheng; Jian Wang 113; Shiji Song; Gao Huang 001; Fan Li 003 (IEEE Trans. Cogn. Dev. Syst., 2024)

Dynamic Spatial Focus for Efficient Compressed Video Action Recognition. - Ziwei Zheng; Le Yang 007; Yulin Wang 002; Miao Zhang 041; Lijun He 001; Gao Huang 001; Fan Li 003 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning. - Qisen Yang; Huanqian Wang; Mukun Tong; Wenjie Shi; Gao Huang 001; Shiji Song (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Joint representation learning for text and 3D point cloud. - Rui Huang 012; Xuran Pan; Henry Zheng; Haojun Jiang; Zhifeng Xie; Cheng Wu; Shiji Song; Gao Huang 001 (Pattern Recognit., 2024)

Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint. - Mixue Xie; Shuang Li 008; Kaixiong Gong; Yulin Wang 002; Gao Huang 001 (Int. J. Comput. Vis., 2024)

An Energy Matching Vessel Segmentation Framework in 3-D Medical Images. - Pan Liu; Gao Huang 001; Jing Jing 002; Suyan Bian; Liuquan Cheng; Xin Yang Lu; Chongyou Rao; Yu Liu; Yun Hua; Yongjun Wang; Kunlun He (IEEE Trans. Medical Imaging, 2024)

DLformer: A Dynamic Length Transformer-Based Network for Efficient Feature Representation in Remaining Useful Life Prediction. - Lei Ren 001; Haiteng Wang; Gao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

FaceCLIP: Facial Image-to-Video Translation via a Brief Text Description. - Jiayi Guo; Hayk Manukyan 001; Chenyu Yang; Chaofei Wang; Levon Khachatryan; Shant Navasardyan; Shiji Song; Humphrey Shi; Gao Huang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Probabilistic Contrastive Learning for Long-Tailed Visual Recognition. - Chaoqun Du; Yulin Wang 002; Shiji Song; Gao Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

OStr-DARTS: Differentiable Neural Architecture Search Based on Operation Strength. - Le Yang 007; Ziwei Zheng; Yizeng Han; Shiji Song; Gao Huang 001; Fan Li 003 (IEEE Trans. Cybern., 2024)

Hundreds Guide Millions: Adaptive Offline Reinforcement Learning With Expert Guidance. - Qisen Yang; Shenzhi Wang; Qihang Zhang; Gao Huang 001; Shiji Song (IEEE Trans. Neural Networks Learn. Syst., 2024)

Frequency-Aware Feature Fusion for Dense Image Prediction. - Linwei Chen; Ying Fu 001; Lin Gu 003; Chenggang Yan 001; Tatsuya Harada; Gao Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Latency-Aware Unified Dynamic Networks for Efficient Image Recognition. - Yizeng Han; Zeyu Liu; Zhihang Yuan; Yifan Pu; Chaofei Wang; Shiji Song; Gao Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training. - Yulin Wang 002; Yang Yue; Rui Lu; Yizeng Han; Shiji Song; Gao Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints. - Andrew Zhao; Quentin Xu; Matthieu Lin; Shenzhi Wang; Yong-Jin Liu 001; Zilong Zheng; Gao Huang 001 (AAAI, 2025)

4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models. - Wanhua Li 001; Renping Zhou; Jiawei Zhou; Yingwei Song; Johannes Herter; Minghan Qin; Gao Huang 001; Hanspeter Pfister (CVPR, 2025)

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. - Jiayi Guo; Junhao Zhao; Chaoqun Du; Yulin Wang 002; Chunjiang Ge; Zanlin Ni; Shiji Song; Humphrey Shi; Gao Huang 001 (CVPR, 2025)

ProxyTransformation: Preshaping Point Cloud Manifold With Proxy Attention For 3D Visual Grounding. - Qihang Peng; Henry Zheng; Gao Huang 001 (CVPR, 2025)

ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation. - Yifan Pu; Yiming Zhao; Zhicong Tang; Ruihong Yin; Haoxing Ye; Yuhui Yuan; Dong Chen 003; Jianmin Bao; Sirui Zhang; Yanbin Wang; Lin Liang; Lijuan Wang; et al. (CVPR, 2025)

HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding. - Chenxin Tao; Shiqian Su; Xizhou Zhu; Chenyu Zhang; Zhe Chen 017; Jiawen Liu; Wenhai Wang; Lewei Lu; Gao Huang 001; Yu Qiao 001; Jifeng Dai (CVPR, 2025)

DTOS: Dynamic Time Object Sensing with Large Multimodal Model. - Jirui Tian; Jinrong Zhang; Shenglan Liu 001; Luhao Xu; Zhixiong Huang; Gao Huang 001 (CVPR, 2025)

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance. - Yang Yue; Yulin Wang 002; Haojun Jiang; Pan Liu; Shiji Song; Gao Huang 001 (CVPR, 2025)

CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning. - Yang Yue; Yulin Wang 002; Chenxin Tao; Pan Liu; Shiji Song; Gao Huang 001 (CVPR, 2025)

Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias. - Rui Lu; Runzhe Wang; Kaifeng Lyu; Xitai Jiang; Gao Huang 001; Mengdi Wang (ICLR, 2025)

GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling. - Honghui Wang; Shiji Song; Gao Huang 001 (ICLR, 2025)

Differential Transformer. - Tianzhu Ye; Li Dong 004; Yuqing Xia; Yutao Sun; Yi Zhu; Gao Huang 001; Furu Wei (ICLR, 2025)

Dynamic Diffusion Transformer. - Wangbo Zhao; Yizeng Han; Jiasheng Tang; Kai Wang 036; Yibing Song; Gao Huang 001; Fan Wang 019; Yang You 001 (ICLR, 2025)

DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding. - Henry Zheng; Hao Shi; Qihang Peng; Yong Xien Chng; Rui Huang 012; Yepeng Weng; Zhongchao Shi; Gao Huang 001 (ICLR, 2025)

Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing. - Huanqian Wang; Yang Yue; Rui Lu; Jingxin Shi; Andrew Zhao; Shenzhi Wang; Shiji Song; Gao Huang 001 (NAACL (Long Papers), 2025)

Anatomical prior-based vertebral landmark detection for spinal disorder diagnosis. - Yukang Yang; Yu Wang; Tianyu Liu; Miao Wang; Ming Sun 019; Shiji Song; Wenhui Fan; Gao Huang 001 (Artif. Intell. Medicine, 2025)

Towards pedestrian head tracking: A benchmark dataset and a multi-source data fusion network. - Kailai Sun; Xinwei Wang; Shaobo Liu; Qianchuan Zhao; Gao Huang 001; Chang Liu (Eng. Appl. Artif. Intell., 2025)

From ReLU to GeMU: Activation functions in the lens of cone projection. - Jiayun Li 001; Yuxiao Cheng; Yiwen Lu; Zhuofan Xia; Yilin Mo; Gao Huang 001 (Neural Networks, 2025)

Self-Referencing Agents for Unsupervised Reinforcement Learning. - Andrew Zhao; Erle Zhu; Rui Lu; Matthieu Lin; Yong-Jin Liu 001; Gao Huang 001 (Neural Networks, 2025)

Corrigendum to "Self-Referencing agents for unsupervised reinforcement learning" [Neural Networks Volume 188, August 2025, 107448]. - Andrew Zhao; Erle Zhu; Rui Lu; Matthieu Lin; Yong-Jin Liu 001; Gao Huang 001 (Neural Networks, 2025)

Cross-modal adapter for vision-language retrieval. - Haojun Jiang; Jianke Zhang; Rui Huang 012; Chunjiang Ge; Zanlin Ni; Shiji Song; Gao Huang 001 (Pattern Recognit., 2025)

Domain Adaptation via Prompt Learning. - Chunjiang Ge; Rui Huang 012; Mixue Xie; Zihang Lai; Shiji Song; Shuang Li 008; Gao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Towards Understanding the Benefit of Multitask Representation Learning in Decision Process. - Rui Lu; Yang Yue; Andrew Zhao; Simon S. Du; Gao Huang 001 (CoRR, 2025)

CODA: Repurposing Continuous VAEs for Discrete Tokenization. - Zeyu Liu; Zanlin Ni; Yeguo Hua; Xin Deng; Xiao Ma 006; Cheng Zhong; Gao Huang 001 (CoRR, 2025)

Uni-AdaFocus: Spatial-Temporal Dynamic Computation for Video Recognition. - Yulin Wang 002; Haoji Zhang 001; Yang Yue; Shiji Song; Chao Deng 004; Junlan Feng; Gao Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation. - Wangbo Zhao; Yizeng Han; Jiasheng Tang; Kai Wang 036; Hao Luo 004; Yibing Song; Gao Huang 001; Fan Wang 019; Yang You 001 (CoRR, 2025)

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? - Yang Yue; Zhiqi Chen; Rui Lu; Andrew Zhao; Zhaokai Wang; Yang Yue; Shiji Song; Gao Huang 001 (CoRR, 2025)

Multidimensional Refinement Graph Convolutional Network With Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition. - Shenglan Liu 001; Yu-Ning Ding; Jinrong Zhang; Kai-Yuan Liu; Si-Fan Zhang; Fei-Long Wang; Gao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Absolute Zero: Reinforced Self-play Reasoning with Zero Data. - Andrew Zhao; Yiran Wu; Yang Yue; Tong Wu; Quentin Xu; Yang Yue; Matthieu Lin; Shenzhi Wang; Qingyun Wu; Zilong Zheng; Gao Huang 001 (CoRR, 2025)

InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation. - Yulin Wang 002; Zanlin Ni; Yifan Pu; Cai Zhou; Jixuan Ying; Shiji Song; Gao Huang 001 (Int. J. Comput. Vis., 2025)

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning. - Shenzhi Wang; Le Yu; Chang Gao; Chujie Zheng; Shixuan Liu; Rui Lu; Kai Dang; Xionghui Chen; Jianxin Yang; Zhenru Zhang; Yuqiong Liu; An Yang; et al. (CoRR, 2025)

Video Perception Models for 3D Scene Synthesis. - Rui Huang 012; Guangyao Zhai; Zuria Bauer; Marc Pollefeys; Federico Tombari; Leonidas J. Guibas; Gao Huang 001; Francis Engelmann (CoRR, 2025)

BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition. - Chaoqun Du; Yulin Wang 002; Shiji Song; Gao Huang 001 (CoRR, 2025)

Decoupled Prioritized Resampling for Offline RL. - Yang Yue; Bingyi Kang; Xiao Ma 006; Qisen Yang; Gao Huang 001; Shiji Song; Shuicheng Yan (IEEE Trans. Neural Networks Learn. Syst., 2025)

MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation. - Hao Shi; Bin Xie; Yingfei Liu; Lin Sun; Fengrong Liu; Tiancai Wang; Erjin Zhou; Haoqiang Fan; Xiangyu Zhang 005; Gao Huang 001 (CoRR, 2025)

End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning. - Jin-Rong Zhang; Wujun Wen; Shen-lan Liu; Gao Huang 001; Yun-Heng Li; Qifeng Li; Lin Feng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

UltraHiT: A Hierarchical Transformer Architecture for Generalizable Internal Carotid Artery Robotic Ultrasonography. - Teng Wang; Haojun Jiang; Yuxuan Wang; Zhenguo Sun; Xiangjie Yan; Xiang Li 009; Gao Huang 001 (CoRR, 2025)

Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception. - Yulin Wang 002; Yang Yue; Yang Yue; Huanqian Wang; Haojun Jiang; Yizeng Han; Zanlin Ni; Yifan Pu; Minglei Shi; Rui Lu; Qisen Yang; Andrew Zhao; et al. (CoRR, 2025)

DyMoDreamer: World Modeling with Dynamic Modulation. - Boxuan Zhang; Runqing Wang; Wei Xiao; Weipu Zhang; Jian Sun 003; Gao Huang 001; Jie Chen 003; Gang Wang 014 (CoRR, 2025)

IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance. - Jiayi Guo; Chuanhao Yan; Xingqian Xu; Yulin Wang 002; Kai Wang 058; Gao Huang 001; Humphrey Shi (CoRR, 2025)

A-SDM: Accelerating Stable Diffusion Through Model Assembly and Feature Inheritance Strategies. - Jinchao Zhu; Yuxuan Wang; Siyuan Pan; Pengfei Wan 001; Di Zhang 026; Gao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)