Zhang, Shanghang

94 publications

CoRL 2025 3DS-VLA: A 3D Spatial-Aware Vision Language Action Model for Robust Multi-Task Manipulation Xiaoqi Li, Liang Heng, Jiaming Liu, Yan Shen, Chenyang Gu, Zhuoyang Liu, Hao Chen, Nuowei Han, Renrui Zhang, Hao Tang, Shanghang Zhang, Hao Dong

ICCV 2025 4D Visual Pre-Training for Robot Learning Chengkai Hou, Yanjie Ze, Yankai Fu, Zeyu Gao, Songbo Hu, Yue Yu, Shanghang Zhang, Huazhe Xu

NeurIPS 2025 AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation Sixiang Chen, Jiaming Liu, Siyuan Qian, Han Jiang, Zhuoyang Liu, Chenyang Gu, Xiaoqi Li, Chengkai Hou, Pengwei Wang, Zhongyuan Wang, Renrui Zhang, Shanghang Zhang

ICCV 2025 Authentic 4D Driving Simulation with a Video Generation Model Lening Wang, Wenzhao Zheng, Dalong Du, Yunpeng Zhang, Yilong Ren, Han Jiang, Zhiyong Cui, Haiyang Yu, Jie Zhou, Shanghang Zhang

NeurIPS 2025 Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs Qizhe Zhang, Mengzhen Liu, Lichen Li, Ming Lu, Yuan Zhang, Junwen Pan, Qi She, Shanghang Zhang

ICCV 2025 Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs Qizhe Zhang, Aosong Cheng, Ming Lu, Renrui Zhang, Zhiyong Zhuo, Jiajun Cao, Shaobo Guo, Qi She, Shanghang Zhang

ICLR 2025 Co$^{\mathbf{3}}$Gesture: Towards Coherent Concurrent Co-Speech 3D Gesture Generation with Interactive Diffusion Xingqun Qi, Yatian Wang, Hengyuan Zhang, Jiahao Pan, Wei Xue, Shanghang Zhang, Wenhan Luo, Qifeng Liu, Yike Guo

CVPR 2025 Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-Low Bitrate Perception Image Compression Jinchang Xu, Shaokang Wang, Jintao Chen, Zhe Li, Peidong Jia, Fei Zhao, Guoqing Xiang, Zhijian Hao, Shanghang Zhang, Xiaodong Xie

AAAI 2025 DesignEdit: Unify Spatial-Aware Image Editing via Training-Free Inpainting with a Multi-Layered Latent Diffusion Framework Yueru Jia, Aosong Cheng, Yuhui Yuan, Chuke Wang, Ji Li, Huizhu Jia, Shanghang Zhang

ICLR 2025 Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want Weifeng Lin, Xinyu Wei, Ruichuan An, Peng Gao, Bocheng Zou, Yulin Luo, Siyuan Huang, Shanghang Zhang, Hongsheng Li

ICCV 2025 EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting Xiaobao Wei, Qingpo Wuwu, Zhongyu Zhao, Zhuangzhe Wu, Nan Huang, Ming Lu, Ningning Ma, Shanghang Zhang

ICML 2025 Empowering World Models with Reflection for Embodied Video Prediction Xiaowei Chi, Chun-Kai Fan, Hengyuan Zhang, Xingqun Qi, Rongyu Zhang, Anthony Chen, Chi-Min Chan, Wei Xue, Qifeng Liu, Shanghang Zhang, Yike Guo

NeurIPS 2025 Fast-in-Slow: A Dual-System VLA Model Unifying Fast Manipulation Within Slow Reasoning Hao Chen, Jiaming Liu, Chenyang Gu, Zhuoyang Liu, Renrui Zhang, Xiaoqi Li, Xiao He, Yandong Guo, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng

IJCAI 2025 FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang, Tianchen Zhu, Shanghang Zhang, Jianxin Li

AAAI 2025 LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding Senqiao Yang, Jiaming Liu, Renrui Zhang, Mingjie Pan, Ziyu Guo, Xiaoqi Li, Zehui Chen, Peng Gao, Hongsheng Li, Yandong Guo, Shanghang Zhang

CVPR 2025 Lift3D Policy: Lifting 2D Foundation Models for Robust 3D Robotic Manipulation Yueru Jia, Jiaming Liu, Sixiang Chen, Chenyang Gu, Zhilve Wang, Longzan Luo, Xiaoqi Li, Pengwei Wang, Zhongyuan Wang, Renrui Zhang, Shanghang Zhang

ICLR 2025 MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Ziyu Guo, Yichi Zhang, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Shanghang Zhang, Peng Gao, Hongsheng Li

CVPR 2025 MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Jiajun Cao, Yuan Zhang, Tao Huang, Ming Lu, Qizhe Zhang, Ruichuan An, Ningning Ma, Shanghang Zhang

CVPR 2025 Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation Xiaoqi Li, Jingyun Xu, Mingxu Zhang, Jiaming Liu, Yan Shen, Iaroslav Ponomarenko, Jiahui Xu, Liang Heng, Siyuan Huang, Shanghang Zhang, Hao Dong

ICML 2025 OmniArch: Building Foundation Model for Scientific Computing Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Rongye Shi, Shanghang Zhang, Jianxin Li

NeurIPS 2025 Orochi: Versatile Biomedical Image Processor Gaole Dai, Chenghao Zhou, Yu Zhou, Rongyu Zhang, Yuan Zhang, Chengkai Hou, Tiejun Huang, Jianxu Chen, Shanghang Zhang

ICML 2025 PINNsAgent: Automated PDE Surrogation with Large Language Models Qingpo Wuwu, Chonghan Gao, Tianyu Chen, Yihang Huang, Yuekai Zhang, Jianing Wang, Jianxin Li, Haoyi Zhou, Shanghang Zhang

NeurIPS 2025 Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models Huajie Tan, Yuheng Ji, Xiaoshuai Hao, Xiansheng Chen, Pengwei Wang, Zhongyuan Wang, Shanghang Zhang

CVPR 2025 RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete Yuheng Ji, Huajie Tan, Jiayu Shi, Xiaoshuai Hao, Yuan Zhang, Hengyuan Zhang, Pengwei Wang, Mengdi Zhao, Yao Mu, Pengju An, Xinda Xue, Qinghang Su, Huaihai Lyu, Xiaolong Zheng, Jiaming Liu, Zhongyuan Wang, Shanghang Zhang

NeurIPS 2025 RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics Enshen Zhou, Jingkun An, Cheng Chi, Yi Han, Shanyu Rong, Chi Zhang, Pengwei Wang, Zhongyuan Wang, Tiejun Huang, Lu Sheng, Shanghang Zhang

ICML 2025 SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model’s Parameter-Efficient Fine-Tuning Gaole Dai, Chun-Kai Fan, Yiming Tang, Zhi Zhang, Yuan Zhang, Yulu Gan, Qizhe Zhang, Cheng-Ching Tseng, Shanghang Zhang, Tiejun Huang

NeurIPS 2025 SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents Wanxin Tian, Shijie Zhang, Kevin Zhang, Xiaowei Chi, Chun-Kai Fan, Junyu Lu, Yulin Luo, Qiang Zhou, Yiming Zhao, Ning Liu, Siyu Lin, Zhiyuan Qin, Xiaozhu Ju, Shanghang Zhang, Jian Tang

CVPR 2025 Segment Any Motion in Videos Nan Huang, Wenzhao Zheng, Chenfeng Xu, Kurt Keutzer, Shanghang Zhang, Angjoo Kanazawa, Qianqian Wang

ICML 2025 SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Yuan Zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang, Kuan Cheng, Denis A Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang

AAAI 2025 Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu, Haoyang Li, Shuning Wang, Shuo Nie, Shanghang Zhang

NeurIPS 2025 URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model Zhe Li, Xiang Bai, Jieyu Zhang, Zhuangzhe Wu, Che Xu, Ying Li, Chengkai Hou, Shanghang Zhang

ICLR 2024 ChatEval: Towards Better LLM-Based Evaluators Through Multi-Agent Debate Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu

CVPR 2024 Cloud-Device Collaborative Learning for Multimodal Large Language Models Guanqun Wang, Jiaming Liu, Chenxuan Li, Yuan Zhang, Junpeng Ma, Xinyu Wei, Kevin Zhang, Maurice Chong, Renrui Zhang, Yijiang Liu, Shanghang Zhang

ICML 2024 Compositional Few-Shot Class-Incremental Learning Yixiong Zou, Shanghang Zhang, Haichen Zhou, Yuhua Li, Ruixuan Li

CVPR 2024 Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang

AAAI 2024 Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang

NeurIPS 2024 Era3D: High-Resolution Multiview Diffusion Using Efficient Row-Wise Attention Peng Li, Yuan Liu, Xiaoxiao Long, Feihu Zhang, Cheng Lin, Mengfei Li, Xingqun Qi, Shanghang Zhang, Wenhan Luo, Ping Tan, Wenping Wang, Qifeng Liu, Yike Guo

AAAI 2024 Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang

AAAI 2024 FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection Dongmei Zhang, Chang Li, Renrui Zhang, Shenghao Xie, Wei Xue, Xiaodong Xie, Shanghang Zhang

ICMLW 2024 Fisher-Aware Quantization for DETR Detectors with Critical-Category Objectives Huanrui Yang, Yafeng Huang, Zhen Dong, Denis A Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, Shanghang Zhang

CVPR 2024 FreeKD: Knowledge Distillation via Semantic Frequency Prompt Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang

CVPR 2024 Gradient-Based Parameter Selection for Efficient Fine-Tuning Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang

ECCV 2024 I-MedSAM: Implicit Medical Image Segmentation with Segment Anything Xiaobao Wei, Jiajun Cao, Yizhu Jin, Ming Lu, Guangyu Wang, Shanghang Zhang

ECCV 2024 LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model Yulin Luo, Ruichuan An, Bocheng Zou, Yiming Tang, Jiaming Liu, Shanghang Zhang

AAAI 2024 Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-Supervised 3D Object Detection Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao

CVPR 2024 NTO3D: Neural Target Object 3D Reconstruction with Segment Anything Xiaobao Wei, Renrui Zhang, Jiarui Wu, Jiaming Liu, Ming Lu, Yandong Guo, Shanghang Zhang

CVPR 2024 PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Helan Hu, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang

NeurIPS 2024 RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation Jiaming Liu, Mengzhen Liu, Zhenyu Wang, Pengju An, Xiaoqi Li, Kaichen Zhou, Senqiao Yang, Renrui Zhang, Yandong Guo, Shanghang Zhang

ICML 2024 Split-Ensemble: Efficient OOD-Aware Ensemble via Task and Model Splitting Anthony Chen, Huanrui Yang, Yulu Gan, Denis A Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang

WACV 2024 TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang

NeurIPS 2024 Unveiling the Tapestry of Consistency in Large Vision-Language Models Yuan Zhang, Fei Xiao, Tao Huang, Chun-Kai Fan, Hongyuan Dong, Jiawen Li, Jiacong Wang, Kuan Cheng, Shanghang Zhang, Haoyuan Guo

ICLR 2024 ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation Jiaming Liu, Senqiao Yang, Peidong Jia, Renrui Zhang, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang

ICML 2024 VoroNav: Voronoi-Based Zero-Shot Object Navigation with Large Language Model Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu

CVPR 2024 Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-Speech Gesture Generation Xingqun Qi, Jiahao Pan, Peng Li, Ruibin Yuan, Xiaowei Chi, Mengfei Li, Wenhan Luo, Wei Xue, Shanghang Zhang, Qifeng Liu, Yike Guo

CVPR 2023 Annealing-Based Label-Transfer Learning for Open World Object Detection Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu

CVPR 2023 BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang

CVPR 2023 Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang

CVPR 2023 Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu

CVPR 2023 MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao

CVPR 2023 NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang

CVPR 2023 Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang

NeurIPS 2023 PAD: A Dataset and Benchmark for Pose-Agnostic Anomaly Detection Qiang Zhou, Weize Li, Lihan Jiang, Guoliang Wang, Guyue Zhou, Shanghang Zhang, Hao Zhao

CVPR 2023 PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection Anthony Chen, Kevin Zhang, Renrui Zhang, Zihan Wang, Yuheng Lu, Yandong Guo, Shanghang Zhang

ICCV 2023 PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-World Learning Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Ziyao Zeng, Zipeng Qin, Shanghang Zhang, Peng Gao

ICCV 2023 Q-Diffusion: Quantizing Diffusion Models Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer

ICCV 2023 QD-BEV : Quantization-Aware View-Guided Distillation for Multi-View 3D Object Detection Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang

ICML 2023 Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei

AISTATS 2022 Online Continual Adaptation with Active Self-Training Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu

ICML 2022 DNA: Domain Generalization with Diversified Neural Averaging Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei

CVPR 2022 Delving Deep into the Generalization of Vision Transformers Under Distribution Shifts Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Xianglong Liu, Ziwei Liu

IJCAI 2022 Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data Tian Li, Xiang Chen, Zhen Dong, Kurt Keutzer, Shanghang Zhang

ECCV 2022 Efficient Meta-Tuning for Content-Aware Neural Video Delivery Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang

NeurIPS 2022 Jump Self-Attention: Capturing High-Order Statistics in Transformers Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li

ECCV 2022 MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang

NeurIPS 2022 Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation Yixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li

NeurIPS 2022 Outlier Suppression: Pushing the Limit of Low-Bit Transformer Language Models Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu

WACV 2022 Self-Supervised Pretraining Improves Self-Supervised Pretraining Colorado J Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell

ICLR 2022 Temporal Efficient Training of Spiking Neural Network via Gradient Re-Weighting Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu

ICCV 2021 Contrastive Multimodal Fusion with TupleInfoNCE Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas Funkhouser, Li Yi

ICLR 2021 Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H Hovy

NeurIPS 2021 Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu

AAAI 2021 Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang

CVPR 2021 Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao

CVPR 2021 Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Sangiovanni Vincentelli

ICCV 2021 Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu

IJCAI 2020 Generalized Zero-Shot Text Classification for ICD Coding Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing

ECCV 2020 Instance Adaptive Self-Training for Unsupervised Domain Adaptation Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang

AAAI 2020 Multi-Source Distilling Domain Adaptation Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer

ECCV 2020 TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang

NeurIPS 2019 Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning Jian Ni, Shanghang Zhang, Haiyong Xie

NeurIPS 2019 MaCow: Masked Convolutional Generative Flow Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard Hovy

NeurIPS 2018 Adversarial Multiple Source Domain Adaptation Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, Joao P. Costeira, Geoffrey J. Gordon

ICCV 2017 FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras Shanghang Zhang, Guanhang Wu, Joao P. Costeira, Jose M. F. Moura

CVPR 2017 Understanding Traffic Density from Large-Scale Web Camera Data Shanghang Zhang, Guanhang Wu, Joao P. Costeira, Jose M. F. Moura