Shanghang Zhang

According to our database, Shanghang Zhang authored at least 146 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for Multi-View BEV 3D Object Detection.

Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Yuan Du, Li Du, Shanghang Zhang

IEEE Trans. Intell. Veh., January, 2024

DECOR: Dynamic Decoupling and Multiobjective Optimization for Long-Tailed Remote Sensing Image Classification.

Jianlin Xie, Guanqun Wang, Yin Zhuang, Can Li, Tong Zhang, He Chen, Liang Chen, Shanghang Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning.

Yijiang Liu, Rongyu Zhang, Huanrui Yang, Kurt Keutzer, Yuan Du, Li Du, Shanghang Zhang

CoRR, 2024

Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding.

Yiwen Tang, Jiaming Liu, Dong Wang, Zhigang Wang, Shanghang Zhang, Bin Zhao, Xuelong Li

CoRR, 2024

SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera.

Gaole Dai, Zhenyu Wang, Qinwen Xu, Ming Lu, Wen Chen, Boxin Shi, Shanghang Zhang, Tie-Jun Huang

CoRR, 2024

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

CoRR, 2024

Point-DETR3D: 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

CoRR, 2024

DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing.

Yueru Jia, Yuhui Yuan, Aosong Cheng, Chuke Wang, Ji Li, Huizhu Jia, Shanghang Zhang

CoRR, 2024

DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments.

Ji Ma, Hongming Dai, Yao Mu, Pengying Wu, Hao Wang, Xiaowei Chi, Yang Fei, Shanghang Zhang, Chang Liu

CoRR, 2024

A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge - Multi-Task Robustness Track.

Zehui Chen, Qiuchen Wang, Zhenyu Li, Jiaming Liu, Shanghang Zhang, Feng Zhao

CoRR, 2024

Building Flexible Machine Learning Models for Scientific Computing at Scale.

Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Shanghang Zhang, Jianxin Li

CoRR, 2024

Proximity QA: Unleashing the Power of Multi-Modal Large Language Models for Spatial Proximity Analysis.

Jianing Li, Xi Nan, Ming Lu, Li Du, Shanghang Zhang

CoRR, 2024

VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness.

Rongyu Zhang, Zefan Cai, Huanrui Yang, Zidong Liu, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang

CoRR, 2024

RustNeRF: Robust Neural Radiance Field with Low-Quality Images.

Mengfei Li, Ming Lu, Xiaofang Li, Shanghang Zhang

CoRR, 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

CoRR, 2024

TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning.

Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Frame-Recurrent Video Crowd Counting.

Yi Hou, Shanghang Zhang, Rui Ma, Huizhu Jia, Xiaodong Xie

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Learning Deep Features for Robotic Inference From Physical Interactions.

Atabak Dehban, Shanghang Zhang, Nino Cauli, Lorenzo Jamone, José Santos-Victor

IEEE Trans. Cogn. Dev. Syst., September, 2023

Expanding the prediction capacity in long sequence time-series forecasting.

Haoyi Zhou, Jianxin Li, Shanghang Zhang, Shuai Zhang, Mengyi Yan, Hui Xiong

Artif. Intell., May, 2023

P2FEViT: Plug-and-Play CNN Feature Embedded Hybrid Vision Transformer for Remote Sensing Image Classification.

Guanqun Wang, He Chen, Liang Chen, Yin Zhuang, Shanghang Zhang, Tong Zhang, Hao Dong, Peng Gao

Remote. Sens., April, 2023

Caching in Dynamic Environments: A Near-Optimal Online Learning Approach.

Shiji Zhou, Zhi Wang, Chenghao Hu, Yinan Mao, Haopeng Yan, Shanghang Zhang, Chuan Wu, Wenwu Zhu

IEEE Trans. Multim., 2023

Efficient Deweather 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

CoRR, 2023

Cloud-Device Collaborative Learning for Multimodal Large Language Models.

Guanqun Wang, Jiaming Liu, Chenxuan Li, Junpeng Ma, Yuan Zhang, Xinyu Wei, Kevin Zhang, Maurice Chong, Ray Zhang, Yijiang Liu, Shanghang Zhang

CoRR, 2023

Iterative Prompt Relabeling for diffusion model with RLDF.

Jiaxin Ge, Xinyan Chen, Tianjun Zhang, Shanghang Zhang

CoRR, 2023

FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection.

Dongmei Zhang, Chang Li, Ray Zhang, Shenghao Xie, Wei Xue, Xiaodong Xie, Shanghang Zhang

CoRR, 2023

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding.

Senqiao Yang, Jiaming Liu, Ray Zhang, Mingjie Pan, Zoey Guo, Xiaoqi Li, Zehui Chen, Peng Gao, Yandong Guo, Shanghang Zhang

CoRR, 2023

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

CoRR, 2023

Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior.

Nan Huang, Ting Zhang, Yuhui Yuan, Dong Chen, Shanghang Zhang

CoRR, 2023

Gradient-based Parameter Selection for Efficient Fine-Tuning.

Zhi Zhang, Qizhe Zhang, Zijun Gao, Renrui Zhang, Ekaterina Shutova, Shiji Zhou, Shanghang Zhang

CoRR, 2023

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, Shanghang Zhang, Kurt Keutzer

CoRR, 2023

Split & Merge: Unlocking the Potential of Visual Adapters via Sparse Training.

Qizhe Zhang, Bocheng Zou, Ruichuan An, Jiaming Liu, Shanghang Zhang

CoRR, 2023

MoEC: Mixture of Experts Implicit Neural Compression.

Jianchen Zhao, Cheng-Ching Tseng, Ming Lu, Ruichuan An, Xiaobao Wei, He Sun, Shanghang Zhang

CoRR, 2023

ChatIllusion: Efficient-Aligning Interleaved Generation ability with Visual Instruction Model.

Xiaowei Chi, Yijiang Liu, Zhengkai Jiang, Rongyu Zhang, Ziyi Lin, Renrui Zhang, Peng Gao, Chaoyou Fu, Shanghang Zhang, Qifeng Liu, Yike Guo

CoRR, 2023

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

CoRR, 2023

I-MedSAM: Implicit Medical Image Segmentation with Segment Anything.

Xiaobao Wei, Jiajun Cao, Yizhu Jin, Ming Lu, Guangyu Wang, Shanghang Zhang

CoRR, 2023

COLE: A Hierarchical Generation Framework for Graphic Design.

Peidong Jia, Chenxuan Li, Zeyu Liu, Yichao Shen, Xingru Chen, Yuhui Yuan, Yinglin Zheng, Dong Chen, Ji Li, Xiaodong Xie, Shanghang Zhang, Baining Guo

CoRR, 2023

FreeKD: Knowledge Distillation via Semantic Frequency Prompt.

Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang

CoRR, 2023

Heterogenous Memory Augmented Neural Networks.

Zihan Qiu, Zhen Liu, Shuicheng Yan, Shanghang Zhang, Jie Fu

CoRR, 2023

Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation.

Jiayi Ni, Senqiao Yang, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Ran Xu, Zehui Chen, Yi Liu, Shanghang Zhang

CoRR, 2023

NOC: High-Quality Neural Object Cloning with 3D Lifting of Segment Anything.

Xiaobao Wei, Renrui Zhang, Jiarui Wu, Jiaming Liu, Ming Lu, Yandong Guo, Shanghang Zhang

CoRR, 2023

RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision.

Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Li Liu, Shanghang Zhang

CoRR, 2023

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

CoRR, 2023

PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers.

Peidong Jia, Jiaming Liu, Senqiao Yang, Jiarui Wu, Xiaodong Xie, Shanghang Zhang

CoRR, 2023

DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images.

Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li

CoRR, 2023

UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering.

Mingjie Pan, Li Liu, Jiaming Liu, Peixiang Huang, Longlong Wang, Shanghang Zhang, Shaoqing Xu, Zhiyi Lai, Kuiyuan Yang

CoRR, 2023

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation.

Jiaming Liu, Senqiao Yang, Peidong Jia, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang

CoRR, 2023

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models.

Yijia Zhang, Lingran Zhao, Shijie Cao, Wenqiang Wang, Ting Cao, Fan Yang, Mao Yang, Shanghang Zhang, Ningyi Xu

CoRR, 2023

Chain of Thought Prompt Tuning in Vision Language Models.

Jiaxin Ge, Hongyin Luo, Siyuan Qian, Yulu Gan, Jie Fu, Shanghang Zhang

CoRR, 2023

MoWE: Mixture of Weather Experts for Multiple Adverse Weather Removal.

Yulin Luo, Rui Zhao, Xiaobao Wei, Jinwei Chen, Yijie Lu, Shenghao Xie, Tianyu Wang, Ruiqin Xiong, Ming Lu, Shanghang Zhang

CoRR, 2023

Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation.

Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Shanghang Zhang

CoRR, 2023

When Visible Light (Backscatter) Communication Meets Neuromorphic Cameras in V2X.

Kenuo Xu, Kexing Zhou, Chengxuan Zhu, Shanghang Zhang, Boxin Shi, Xiaoqiang Li, Tiejun Huang, Chenren Xu

Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications, 2023

RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery.

Rongyu Zhang, Lixuan Du, Jiaming Liu, Congcong Song, Fangxin Wang, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang

Proceedings of the 33rd Workshop on Network and Operating System Support for Digital Audio and Video, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiffuseIR: Diffusion Models for Isotropic Reconstruction of 3D Microscopic Images.

Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Ying Zhang, Aimin Wang, Shanghang Zhang, Dawei Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Electroencephalogram-Based Driver Emotional State Detection with Manifold Learning.

Wenqi Zhang, Yanjun Qin, Shanghang Zhang, Xiaoming Tao

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Text Prompt-Based Approach for Zero-Shot Corner Case Object Detection in Autonomous Driving.

Tianqi Liu, Shanghang Zhang, Yanjun Qin, Xiaoming Tao

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Uncertainty-Aware Dynamic Learning for Cross-Domain Few-Shot Scene Classification from Remote Sensing Imagery.

Can Li, He Chen, Yin Zhuang, Shanghang Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Q-Diffusion: Quantizing Diffusion Models.

Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BadRes: Reveal the Backdoors Through Residual Connection.

Mingrui He, Tianyu Chen, Haoyi Zhou, Shanghang Zhang, Jianxin Li

Proceedings of the IEEE International Conference on Acoustics, 2023

CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification.

Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level.

Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Open-Vocabulary Point-Cloud Object Detection without 3D Annotation.

Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers.

Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer

IEEE Trans. Neural Networks Learn. Syst., 2022

Active Gradual Domain Adaptation: Dataset and Approach.

Shiji Zhou, Lianzhe Wang, Shanghang Zhang, Zhi Wang, Wenwu Zhu

IEEE Trans. Multim., 2022

BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection.

Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Li Du, Shanghang Zhang

CoRR, 2022

Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection.

Jiaming Liu, Rongyu Zhang, Xiaowei Chi, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang

CoRR, 2022

PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning.

Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyao Zeng, Shanghang Zhang, Peng Gao

CoRR, 2022

Uncertainty Guided Depth Fusion for Spike Camera.

Jianing Li, Jiaming Liu, Xiaobao Wei, Jiyuan Zhang, Ming Lu, Lei Ma, Li Du, Tiejun Huang, Shanghang Zhang

CoRR, 2022

Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer.

Jiaming Liu, Qizhe Zhang, Jianing Li, Ming Lu, Tiejun Huang, Shanghang Zhang

CoRR, 2022

Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning.

Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang

CoRR, 2022

Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data.

Tian Li, Xiang Chen, Zhen Dong, Weijiang Yu, Yijun Yan, Kurt Keutzer, Shanghang Zhang

CoRR, 2022

UnrealNAS: Can We Search Neural Architectures with Unreal Data?

Zhen Dong, Kaicheng Zhou, Guohao Li, Qiang Zhou, Mingfei Guo, Bernard Ghanem, Kurt Keutzer, Shanghang Zhang

CoRR, 2022

Cross-Domain Object Detection with Mean-Teacher Transformer.

Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation.

Yixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Jump Self-attention: Capturing High-order Statistics in Transformers.

Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data.

Tian Li, Xiang Chen, Zhen Dong, Kurt Keutzer, Shanghang Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Prototype-Voxel Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation.

Minzhe Liu, Qiang Zhou, Hengshuang Zhao, Jianing Li, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

DNA: Domain Generalization with Diversified Neural Averaging.

Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei

Proceedings of the International Conference on Machine Learning, 2022

Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting.

Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu

Proceedings of the Tenth International Conference on Learning Representations, 2022

MTTrans: Cross-domain Object Detection with Mean Teacher Transformer.

Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Online Continual Adaptation with Active Self-Training.

Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Learning graph attention-aware knowledge graph embedding.

Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li

Neurocomputing, 2021

2nd Place Solution for VisDA 2021 Challenge - Universally Domain Adaptive Image Recognition.

Haojin Liao, Xiaolin Song, Sicheng Zhao, Shanghang Zhang, Xiangyu Yue, Xingxu Yao, Yueming Zhang, Tengfei Xing, Pengfei Xu, Qiang Wang

CoRR, 2021

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, Shuai Yi, Xianglong Liu, Ziwei Liu

CoRR, 2021

Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks.

Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition.

Yixiong Zou, Shanghang Zhang, Jianpeng Yu, Yonghong Tian, José M. F. Moura

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Annotation-Efficient Untrimmed Video Action Recognition.

Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Triplet Attention: Rethinking the Similarity in Transformers.

Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Decoupling Global and Local Representations via Invertible Generative Flows.

Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy

Proceedings of the 9th International Conference on Learning Representations, 2021

MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series.

Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang

Proceedings of the IEEE International Conference on Data Mining, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Contrastive Multimodal Fusion with TupleInfoNCE.

Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas A. Funkhouser, Li Yi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization.

Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer

Proceedings of the IEEE International Conference on Acoustics, 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 L. Sangiovanni-Vincentelli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Modeling relation paths for knowledge base completion via joint adversarial training.

Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang

Knowl. Based Syst., 2020

P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding.

Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas A. Funkhouser, Hao Dong

CoRR, 2020

Cross-Domain Sentiment Classification with In-Domain Contrastive Learning.

Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer

CoRR, 2020

Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition.

Yixiong Zou, Shanghang Zhang, José M. F. Moura, Jianpeng Yu, Yonghong Tian

CoRR, 2020

Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms.

Xingyi Yang, Xuehai He, Yuxiao Liang, Yue Yang, Shanghang Zhang, Pengtao Xie

CoRR, 2020

Rethinking Distributional Matching Based Domain Adaptation.

Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer

CoRR, 2020

Decoupling Global and Local Representations from/for Image Generation.

Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy

CoRR, 2020

Compositional Few-Shot Recognition with Primitive Discovery and Enhancing.

Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian, Yaowei Wang, José M. F. Moura

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Generalized Zero-Shot Text Classification for ICD Coding.

Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Instance Adaptive Self-training for Unsupervised Domain Adaptation.

Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Generalized Zero-shot ICD Coding.

Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing

CoRR, 2019

Feature Fusion for Image Retrieval With Adaptive Bitrate Allocation and Hard Negative Mining.

Chuang Zhu, Huihui Dong, Shanghang Zhang

IEEE Access, 2019

Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning.

Jian Ni, Shanghang Zhang, Haiyong Xie

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

MaCow: Masked Convolutional Generative Flow.

Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Deep Understanding of Urban Mobility from CityscapeWebcams.

Shanghang Zhang

PhD thesis, 2018

Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training.

Chen Li, Xutan Peng, Shanghang Zhang, Jianxin Li, Lihong Wang

CoRR, 2018

Adversarial Multiple Source Domain Adaptation.

Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, João Paulo Costeira, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multiple Source Domain Adaptation with Adversarial Learning.

Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon

Proceedings of the 6th International Conference on Learning Representations, 2018

A Deep Learning Approach to IoT Authentication.

Rajshekhar Das, Akshay Gadre, Shanghang Zhang, Swarun Kumar, José M. F. Moura

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Learning to Understand Image Blur.

Shanghang Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, João Paulo Costeira, José M. F. Moura

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Topology adaptive graph convolutional networks.

Jian Du, Shanghang Zhang, Guanhang Wu, José M. F. Moura, Soummya Kar

CoRR, 2017

Multiple Source Domain Adaptation with Adversarial Training of Neural Networks.

Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon

CoRR, 2017

FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras.

Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura

Proceedings of the IEEE International Conference on Computer Vision, 2017

Understanding Traffic Density from Large-Scale Web Camera Data.

Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Traffic flow from a low frame rate city camera.

Evgeny Toropov, Liangyan Gui, Shanghang Zhang, Satwik Kottur, José M. F. Moura

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Bayesian model fusion: Enabling test cost reduction of analog/RF circuits via wafer-level spatial variation modeling.

Shanghang Zhang, Xin Li, Ronald D. Blanton, José Machado da Silva, John M. Carulli Jr., Kenneth M. Butler

Proceedings of the 2014 International Test Conference, 2014

2013

On a Highly Efficient RDO-Based Mode Decision Pipeline Design for AVS.

Chuang Zhu, Huizhu Jia, Shanghang Zhang, Xiaofeng Huang, Xiaodong Xie, Wen Gao

IEEE Trans. Multim., 2013

A high-throughput low-latency arithmetic encoder design for HDTV.

Yuan Li, Shanghang Zhang, Huizhu Jia, Xiaodong Xie, Wen Gao

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

2012

An efficient foreground-based surveillance video coding scheme in low bit-rate compression.

Shanghang Zhang, Kaijin Wei, Huizhu Jia, Xiaodong Xie, Wen Gao

Proceedings of the 2012 Visual Communications and Image Processing, 2012

A flexible and high-performance hardware video encoder architecture.

Kaijin Wei, Shanghang Zhang, Huizhu Jia, Don Xie, Wen Gao

Proceedings of the 2012 Picture Coding Symposium, 2012

An Optimized Hardware Video Encoder for AVS with Level C+ Data Reuse Scheme for Motion Estimation.

Kaijin Wei, Rongwei Zhou, Shanghang Zhang, Huizhu Jia, Don Xie, Wen Gao

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012