Gao Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
103
Venues
15
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
103 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Vision Transformers Are Circulant Attention Learners. | Dongchen Han, Tianyu Li, Ziyi Wang, Gao Huang |
| 2026 | AAAI | SpatialActor: Exploring Disentangled Spatial Representations for Robust Robotic Manipulation. | Hao Shi, Bin Xie, Yingfei Liu, Yang Yue, Tiancai Wang, Haoqiang Fan, Xiangyu Zhang, Gao Huang |
| 2026 | EACL | Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers. | Andrew Zhao, Reshmi Ghosh, Vitor Carvalho, Emily Lawton, Keegan Hines, Gao Huang, Jack W. Stokes |
| 2025 | AAAI | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | ProxyTransformation: Preshaping Point Cloud Manifold With Proxy Attention For 3D Visual Grounding. | Qihang Peng, Henry Zheng, Gao Huang |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | DTOS: Dynamic Time Object Sensing with Large Multimodal Model. | Jirui Tian, Jinrong Zhang, Shenglan Liu, Luhao Xu, Zhixiong Huang, Gao Huang |
| 2025 | CVPR | EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance. | Yang Yue, Yulin Wang, Haojun Jiang, Pan Liu, Shiji Song, Gao Huang |
| 2025 | CVPR | CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning. | Yang Yue, Yulin Wang, Chenxin Tao, Pan Liu, Shiji Song, Gao Huang |
| 2025 | ICCV | IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance. | Jiayi Guo, Chuanhao Yan, Xingqian Xu, Yulin Wang, Kai Wang, Gao Huang, Humphrey Shi |
| 2025 | ICCV | CODA: Repurposing Continuous VAEs for Discrete Tokenization. | Zeyu Liu, Zanlin Ni, Yeguo Hua, Xin Deng, Xiao Ma, Cheng Zhong, Gao Huang |
| 2025 | ICLR | Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias. | Rui Lu, Runzhe Wang, Kaifeng Lyu, Xitai Jiang, Gao Huang, Mengdi Wang |
| 2025 | ICLR | GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling. | Honghui Wang, Shiji Song, Gao Huang |
| 2025 | ICLR | Differential Transformer. | Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei |
| 2025 | ICLR | Dynamic Diffusion Transformer. | Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | IROS | UltraDP: Generalizable Carotid Ultrasound Scanning with Force-Aware Diffusion Policy. | Ruoqu Chen, Xiangjie Yan, Kangchen Lv, Gao Huang, Zheng Li, Xiang Li |
| 2025 | NAACL | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | ExpeL: LLM Agents Are Experiential Learners. | Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang |
| 2024 | ACL | 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 |
| 2024 | ACL | 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, Shiji Song, Gao Huang |
| 2024 | CVPR | Mask Grounding for Referring Image Segmentation. | Yong Xien Chng, Henry Zheng, Yizeng Han, Xuchong Qiu, Gao Huang |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | CVPR | GSVA: Generalized Segmentation via Multimodal Large Language Models. | Zhuofan Xia, Dongchen Han, Yizeng Han, Xuran Pan, Shiji Song, Gao Huang |
| 2024 | CVPR | Prompt-Free Diffusion: Taking "Text" Out of Text-to-Image Diffusion Models. | Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi |
| 2024 | ECCV | 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 |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation Without Manual Labels. | Rui Huang, Songyou Peng, Aya Takmaz, Federico Tombari, Marc Pollefeys, Shiji Song, Gao Huang, Francis Engelmann |
| 2024 | ECCV | 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 |
| 2024 | ECCV | 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 |
| 2024 | ECCV | 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 |
| 2024 | ECCV | GRA: Detecting Oriented Objects Through Group-Wise Rotating and Attention. | Jiangshan Wang, Yifan Pu, Yizeng Han, Jiayi Guo, Yiru Wang, Xiu Li, Gao Huang |
| 2024 | ECCV | DyFADet: Dynamic Feature Aggregation for Temporal Action Detection. | Le Yang, Ziwei Zheng, Yizeng Han, Hao Cheng, Shiji Song, Gao Huang, Fan Li |
| 2024 | ICLR | 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 |
| 2024 | ICML | SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning. | Chaoqun Du, Yizeng Han, Gao Huang |
| 2024 | IROS | 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, Senqiang Zhu, Gao Huang, Shiji Song, Xiang Li |
| 2024 | MICCAI | Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train. | Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang |
| 2024 | MICCAI | Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model. | Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang |
| 2023 | AAAI | Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism. | Chunjiang Ge, Shiji Song, Gao Huang |
| 2023 | AAAI | Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. | Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan |
| 2023 | AAAI | Boosted Dynamic Neural Networks. | Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning. | Jiayi Guo, Chaofei Wang, You Wu, Eric J. Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang |
| 2023 | CVPR | Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention. | Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | FLatten Transformer: Vision Transformer using Focused Linear Attention. | Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang |
| 2023 | ICCV | Deep Incubation: Training Large Models by Divide-and-Conquering. | Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang |
| 2023 | ICCV | 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 |
| 2023 | ICCV | EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. | Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang |
| 2023 | ICLR | Budgeted Training for Vision Transformer. | Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue, Shiji Song, Gao Huang |
| 2023 | ICML | Boosting Offline Reinforcement Learning with Action Preference Query. | Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang |
| 2023 | ICRA | Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds. | Kangchen Lv, Mingrui Yu, Yifan Pu, Xin Jiang, Gao Huang, Xiang Li |
| 2022 | AAAI | Assessing a Single Image in Reference-Guided Image Synthesis. | Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang |
| 2022 | CVPR | Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding. | Haojun Jiang, Yuanze Lin, Dongchen Han, Shiji Song, Gao Huang |
| 2022 | CVPR | AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks. | Hao Li, Tianwen Fu, Jifeng Dai, Hongsheng Li, Gao Huang, Xizhou Zhu |
| 2022 | CVPR | On the Integration of Self-Attention and Convolution. | Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang |
| 2022 | CVPR | DiSparse: Disentangled Sparsification for Multitask Model Compression. | Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi |
| 2022 | CVPR | 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 |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Vision Transformer with Deformable Attention. | Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang |
| 2022 | ECCV | 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, Gao Huang |
| 2022 | ECCV | ActiveNeRF: Learning Where to See with Uncertainty Estimation. | Xuran Pan, Zihang Lai, Shiji Song, Gao Huang |
| 2022 | ECCV | 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 |
| 2022 | ICPR | Learn From the Past: Experience Ensemble Knowledge Distillation. | Chaofei Wang, Shaowei Zhang, Shiji Song, Gao Huang |
| 2021 | CVPR | 3D Object Detection With Pointformer. | Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang |
| 2021 | CVPR | CondenseNet V2: Sparse Feature Reactivation for Deep Networks. | Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian |
| 2021 | CVPR | Cross-Iteration Batch Normalization. | Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin |
| 2021 | ICCV | Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. | Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang |
| 2021 | ICCV | Adaptive Focus for Efficient Video Recognition. | Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang |
| 2021 | ICCV | Towards Learning Spatially Discriminative Feature Representations. | Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang |
| 2021 | ICLR | Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation. | Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai |
| 2021 | ICLR | Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. | Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang |
| 2021 | ICML | Evolving Attention with Residual Convolutions. | Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong |
| 2020 | AAAI | Domain Conditioned Adaptation Network. | Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang |
| 2020 | CVPR | Resolution Adaptive Networks for Efficient Inference. | Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang |
| 2020 | ECCV | Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation. | Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin |
| 2019 | AAAI | Horizontal Pyramid Matching for Person Re-Identification. | Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang |
| 2019 | ICCV | Improved Techniques for Training Adaptive Deep Networks. | Hao Li, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Gao Huang |
| 2019 | ICLR | Rethinking the Value of Network Pruning. | Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell |
| 2019 | ICRA | Anytime Stereo Image Depth Estimation on Mobile Devices. | Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark E. Campbell, Kilian Q. Weinberger |
| 2018 | CVPR | CondenseNet: An Efficient DenseNet Using Learned Group Convolutions. | Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger |
| 2018 | CVPR | Resource Aware Person Re-Identification Across Multiple Resolutions. | Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger |
| 2018 | ICLR | Multi-Scale Dense Networks for Resource Efficient Image Classification. | Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger |
| 2017 | CVPR | Densely Connected Convolutional Networks. | Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger |
| 2017 | ICCV | Learning Efficient Convolutional Networks through Network Slimming. | Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang |
| 2017 | ICLR | Snapshot Ensembles: Train 1, Get M for Free. | Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger |
| 2016 | ECCV | Deep Networks with Stochastic Depth. | Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger |
| 2015 | AAAI | Maximin Separation Probability Clustering. | Gao Huang, Jianwen Zhang, Shiji Song, Zheng Chen |
| 2015 | SMC | Dimension Reduction by Maximizing Pairwise Discriminations. | Yanshang Gong, Shiji Song, Gao Huang |
| 2015 | SMC | Incremental Extreme Learning Machine Based on Cascade Neural Networks. | Yihe Wan, Shiji Song, Gao Huang |
| 2014 | KDD | Gradient boosted feature selection. | Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng |
| 2014 | SMC | Non-linear neighborhood component analysis based on constructive neural networks. | Chen Qin, Shiji Song, Gao Huang |
| 2013 | ICML | Anytime Representation Learning. | Zhixiang Eddie Xu, Matt J. Kusner, Gao Huang, Kilian Q. Weinberger |