Huang, Gao

117 publications

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

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, Jianmin Bao, Sirui Zhang, Yanbin Wang, Lin Liang, Lijuan Wang, Ji Li, Xiu Li, Zhouhui Lian, Gao Huang, Baining Guo

NeurIPS 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

NeurIPS 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, Xiong-Hui Chen, Jianxin Yang, Zhenru Zhang, Yuqiong Liu, An Yang, Andrew Zhao, Yang Yue, Shiji Song, Bowen Yu, Gao Huang, Junyang Lin

ICCV 2025 CODA: Repurposing Continuous VAEs for Discrete Tokenization Zeyu Liu, Zanlin Ni, Yeguo Hua, Xin Deng, Xiao Ma, Cheng Zhong, Gao Huang

CVPR 2025 CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning Yang Yue, Yulin Wang, Chenxin Tao, Pan Liu, Shiji Song, Gao Huang

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

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, Yepeng Weng, Zhongchao Shi, Gao Huang

ICLR 2025 Differential Transformer Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei

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

NeurIPS 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

NeurIPS 2025 DyMoDreamer: World Modeling with Dynamic Modulation Boxuan Zhang, Runqing Wang, Wei Xiao, Weipu Zhang, Jian Sun, Gao Huang, Jie Chen, Gang Wang

ICLR 2025 Dynamic Diffusion Transformer Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You

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

CVPR 2025 Everything to the Synthetic: Diffusion-Driven Test-Time Adaptation via Synthetic-Domain Alignment Jiayi Guo, Junhao Zhao, Chaoqun Du, Yulin Wang, Chunjiang Ge, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang

ICLR 2025 GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling Honghui Wang, Shiji Song, Gao Huang

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, Jiawen Liu, Wenhai Wang, Lewei Lu, Gao Huang, Yu Qiao, Jifeng Dai

ICML 2025 How Far Is Video Generation from World Model: A Physical Law Perspective Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng

ICCV 2025 IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance Jiayi Guo, Chuanhao Yan, Xingqian Xu, Yulin Wang, Kai Wang, Gao Huang, Humphrey Shi

NeurIPS 2025 Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials Yifan Pu, Jixuan Ying, Qixiu Li, Tianzhu Ye, Dongchen Han, Xiaochen Wang, Ziyi Wang, Xinyu Shao, Gao Huang, Xiu Li

CVPR 2025 ProxyTransformation: Preshaping Point Cloud Manifold with Proxy Attention for 3D Visual Grounding Qihang Peng, Henry Zheng, Gao Huang

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

NeurIPS 2025 Video Perception Models for 3D Scene Synthesis Rui Huang, Guangyao Zhai, Zuria Bauer, Marc Pollefeys, Federico Tombari, Leonidas Guibas, Gao Huang, Francis Engelmann

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

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

ECCV 2024 Agent Attention: On the Integration of SoftMax and Linear Attention Dongchen Han, Tianzhu Ye, Yizeng Han, Zhuofan Xia, Siyuan Pan, Pengfei Wan, Shiji Song, Gao Huang

NeurIPS 2024 Bridging the Divide: Reconsidering SoftMax and Linear Attention Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan, Xiu Li, Jiwen Lu, Shiji Song, Gao Huang

NeurIPS 2024 COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing Jiangshan Wang, Yue Ma, Jiayi Guo, Yicheng Xiao, Gao Huang, Xiu Li

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

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

ICMLW 2024 DiveR-CT: Diversity-Enhanced Red Teaming with Relaxing Constraints Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-jin Liu, Zilong Zheng, Gao Huang

ECCV 2024 DyFADet: Dynamic Feature Aggregation for Temporal Action Detection Le Yang, Ziwei Zheng, Yizeng Han, Hao Cheng, Shiji Song, Gao Huang, Fan Li

NeurIPS 2024 Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You

NeurIPS 2024 ENAT: Rethinking Spatial-Temporal Interactions in Token-Based Image Synthesis Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang

ECCV 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, Yizeng Han, Shiji Song, Gao Huang, Xiu Li

AAAI 2024 ExpeL: LLM Agents Are Experiential Learners Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang

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

CVPRW 2024 Exploring Text-to-Motion Generation with Human Preference Jenny Sheng, Matthieu Lin, Andrew Zhao, Kevin Pruvost, Yu-Hui Wen, Yangguang Li, Gao Huang, Yong-Jin Liu

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

CVPR 2024 GSVA: Generalized Segmentation via Multimodal Large Language Models Zhuofan Xia, Dongchen Han, Yizeng Han, Xuran Pan, Shiji Song, Gao Huang

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

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

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, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai

CVPR 2024 Mask Grounding for Referring Image Segmentation Yong Xien Chng, Henry Zheng, Yizeng Han, Xuchong Qiu, Gao Huang

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

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

ECCV 2024 Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation Without Manual Labels Rui Huang, Songyou Peng, Ayca Takmaz, Federico Tombari, Marc Pollefeys, Shiji Song, Gao Huang, Francis Engelmann

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

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, Humphrey Shi

NeurIPS 2024 Training an Open-Vocabulary Monocular 3D Detection Model Without 3D Data Rui Huang, Henry Zheng, Yan Wang, Zhuofan Xia, Marco Pavone, Gao Huang

ICCV 2023 Adaptive Rotated Convolution for Rotated Object Detection Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang

CVPR 2023 BEVFormer V2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai

AAAI 2023 Boosted Dynamic Neural Networks Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi

ICML 2023 Boosting Offline Reinforcement Learning with Action Preference Query Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang

ICCV 2023 Borrowing Knowledge from Pre-Trained Language Model: A New Data-Efficient Visual Learning Paradigm Wenxuan Ma, Shuang Li, JinMing Zhang, Chi Harold Liu, Jingxuan Kang, Yulin Wang, Gao Huang

ICLR 2023 Budgeted Training for Vision Transformer Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue', Shiji Song, Gao Huang

AAAI 2023 Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism Chunjiang Ge, Shiji Song, Gao Huang

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

ICCV 2023 Dynamic Perceiver for Efficient Visual Recognition Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang

ICCV 2023 EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang

ICCV 2023 FLatten Transformer: Vision Transformer Using Focused Linear Attention Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang

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

NeurIPS 2023 STORM: Efficient Stochastic Transformer Based World Models for Reinforcement Learning Weipu Zhang, Gang Wang, Jian Sun, Yetian Yuan, Gao Huang

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

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

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

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

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

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

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

NeurIPS 2022 A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao, Matthieu Lin, Yangguang Li, Yong-jin Liu, Gao Huang

ECCV 2022 ActiveNeRF: Learning Where to See with Uncertainty Estimation Xuran Pan, Zihang Lai, Shiji Song, Gao Huang

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

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

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

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

NeurIPSW 2022 Boosting Offline Reinforcement Learning via Data Rebalancing Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan

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

CVPR 2022 DiSparse: Disentangled Sparsification for Multitask Model Compression Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi

NeurIPS 2022 Efficient Knowledge Distillation from Model Checkpoints Chaofei Wang, Qisen Yang, Rui Huang, Shiji Song, Gao Huang

CVPR 2022 Exploring the Equivalence of Siamese Self-Supervised Learning via a Unified Gradient Framework Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai

NeurIPS 2022 Latency-Aware Spatial-Wise Dynamic Networks Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang

ECCV 2022 Learning to Weight Samples for Dynamic Early-Exiting Networks Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfeng Cao, Wenhui Huang, Chao Deng, Gao Huang

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

NeurIPS 2022 Provable General Function Class Representation Learning in Multitask Bandits and MDP Rui Lu, Andrew Zhao, Simon S Du, Gao Huang

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

CVPR 2022 Vision Transformer with Deformable Attention Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang

CVPR 2021 3D Object Detection with Pointformer Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang

ICCV 2021 Adaptive Focus for Efficient Video Recognition Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang

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

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

CVPR 2021 CondenseNet V2: Sparse Feature Reactivation for Deep Networks Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian

CVPR 2021 Cross-Iteration Batch Normalization Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin

ICML 2021 Evolving Attention with Residual Convolutions Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong

ICCV 2021 Frequency Domain Image Translation: More Photo-Realistic, Better Identity-Preserving Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang

NeurIPS 2021 Not All Images Are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang

ICLR 2021 Revisiting Locally Supervised Learning: An Alternative to End-to-End Training Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang

NeurIPS 2021 Searching Parameterized AP Loss for Object Detection Tao Chenxin, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, Jifeng Dai

ICCV 2021 Towards Learning Spatially Discriminative Feature Representations Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang

AAAI 2020 Domain Conditioned Adaptation Network Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang

NeurIPS 2020 Glance and Focus: A Dynamic Approach to Reducing Spatial Redundancy in Image Classification Yulin Wang, Kangchen Lv, Rui Huang, Shiji Song, Le Yang, Gao Huang

ECCV 2020 Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin

NeurIPS 2019 Asymmetric Valleys: Beyond Sharp and Flat Local Minima Haowei He, Gao Huang, Yang Yuan

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

NeurIPS 2019 Implicit Semantic Data Augmentation for Deep Networks Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Gao Huang, Cheng Wu

ICCVW 2019 Interpretable Spatio-Temporal Attention for Video Action Recognition Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederick Tung, Leonid Sigal

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

ICLR 2019 Rethinking the Value of Network Pruning Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell

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

CVPR 2017 Densely Connected Convolutional Networks Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger

ICCV 2017 Learning Efficient Convolutional Networks Through Network Slimming Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang

ICLR 2017 Snapshot Ensembles: Train 1, Get M for Free Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger

ECCV 2016 Deep Networks with Stochastic Depth Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger

NeurIPS 2016 Supervised Word Mover's Distance Gao Huang, Chuan Guo, Matt J Kusner, Yu Sun, Fei Sha, Kilian Q. Weinberger

AAAI 2015 Maximin Separation Probability Clustering Gao Huang, Jianwen Zhang, Shiji Song, Zheng Chen

ECML-PKDD 2014 Transductive Minimax Probability Machine Gao Huang, Shiji Song, Zhixiang Eddie Xu, Kilian Q. Weinberger

ICML 2013 Anytime Representation Learning Zhixiang Xu, Matt Kusner, Gao Huang, Kilian Weinberger