Shanghang Zhang

发表

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

José M. F. Moura, João Paulo Costeira, Shanghang Zhang, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Generalization Bound for Multiple Source Domain Adaptation

José M. F. Moura, Geoffrey J. Gordon, H. Zhao, 2018 .

13 15 4 v 1 [ cs . C L ] 2 8 Se p 20 19 Generalized Zero-shot ICD Coding

E. Xing, P. Xie, Congzheng Song, 2019 .

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting pdf

Shuai Zhang, Shanghang Zhang, Hui Xiong, 2020, AAAI.

Learning Deep Features for Robotic Inference From Physical Interactions

J. Santos-Victor, L. Jamone, Shanghang Zhang, 2023, IEEE Transactions on Cognitive and Developmental Systems.

UnrealNAS: Can We Search Neural Architectures with Unreal Data?

K. Keutzer, Bernard Ghanem, G. Li, 2022, ArXiv.

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

K. Keutzer, M. Tomizuka, Shanghang Zhang, 2022, ArXiv.

Multiple Source Domain Adaptation with Adversarial Learning

José M. F. Moura, Han Zhao, Geoffrey J. Gordon, 2018, ICLR.

Cross-Domain Object Detection with Mean-Teacher Transformer

Denis A. Gudovskiy, K. Keutzer, Shanghang Zhang, 2022, ArXiv.

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Shanghang Zhang, Xianglong Liu, Qi Zhang, 2022, 2209.13325.

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

Shanghang Zhang, Yuhang Li, Shi-Wee Deng, 2022, ICLR.

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

Shanghang Zhang, Yufei Guo, Yuhang Li, 2021, NeurIPS.

Domain Adaptive Neural Inference for Neurons, Microcircuits 1 and Networks

Youhui Zhang, Shanghang Zhang, Maxime Beau, 2022 .

Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data

K. Keutzer, Tian Li, Zhen Dong, 2022, IJCAI.

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Shanghang Zhang, Xianglong Liu, Qi Zhang, 2022, Neural Information Processing Systems.

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

Shanghang Zhang, Rui Li, Yuhua Li, 2022, NeurIPS.

Cross-Domain Object Detection with Mean-Teacher Transformer

Denis A. Gudovskiy, K. Keutzer, Shanghang Zhang, 2022, ECCV.

BadRes: Reveal the Backdoors through Residual Connection

Shanghang Zhang, Jianxin Li, Haoyi Zhou, 2022, 2209.07125.

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

Shanghang Zhang, Yandong Guo, Jiaming Liu, 2022, ArXiv.

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

Shanghang Zhang, Tiejun Huang, Jiaming Liu, 2022, arXiv.org.

Annotation-Efficient Untrimmed Video Action Recognition

Kurt Keutzer, Yonghong Tian, Shanghang Zhang, 2020, ACM Multimedia.

DNA: Domain Generalization with Diversified Neural Averaging

Xin Wang, Shanghang Zhang, Yasha Wang, 2022, ICML.

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

K. Keutzer, Zhen Dong, Shanghang Zhang, 2022, ArXiv.

Multi-Agent Reinforcement Learning

Shanghang Zhang, Huaqing Zhang, Shanghang Zhang, 2020, Deep Reinforcement Learning.

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Hui Xiong, Shanghang Zhang, Jianxin Li, 2020, AAAI.

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

Wen Gao, Huizhu Jia, Xiaodong Xie, 2013, IEEE Transactions on Multimedia.

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts

Ziwei Liu, Qiang-feng Zhou, Shuai Yi, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Topology adaptive graph convolutional networks pdf

Soummya Kar, José M. F. Moura, Jian Du, 2017, ArXiv.

Contrastive Multimodal Fusion with TupleInfoNCE pdf

Hao Dong, Thomas Funkhouser, Shanghang Zhang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Adversarial Multiple Source Domain Adaptation

José M. F. Moura, Han Zhao, Geoffrey J. Gordon, 2018, NeurIPS.

A Deep Learning Approach to IoT Authentication

José M. F. Moura, Akshay Gadre, Swarun Kumar, 2018, 2018 IEEE International Conference on Communications (ICC).

Traffic flow from a low frame rate city camera

José M. F. Moura, Shanghang Zhang, Satwik Kottur, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation pdf

Kurt Keutzer, Trevor Darrell, Bo Li, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Self-Supervised Pretraining Improves Self-Supervised Pretraining pdf

Kurt Keutzer, Trevor Darrell, Shanghang Zhang, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Distilling multi-scale neural mechanisms from diverse unlabeled experimental data using deep domain-adaptive inference framework

Youhui Zhang, Shanghang Zhang, Maxime Beau, 2023, bioRxiv.

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Shanghang Zhang, Xianglong Liu, Qi Zhang, 2022, NeurIPS.

Rethinking Distributional Matching Based Domain Adaptation pdf

Tong Che, Kurt Keutzer, Yoshua Bengio, 2020, ArXiv.

Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation

Shanghang Zhang, Mingjie Pan, Jiaming Liu, 2023, ArXiv.

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency pdf

Shijian Lu, Shuai Yi, Shanghang Zhang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Instance Adaptive Self-Training for Unsupervised Domain Adaptation pdf

Shanghang Zhang, Chuang Zhu, Ke Mei, 2020, ECCV.

Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World

Shanghang Zhang, Jiaming Liu, Mingjie Pan, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Sanjit A. Seshia, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Multi-source Distilling Domain Adaptation

K. Keutzer, Shanghang Zhang, Sicheng Zhao, 2019, AAAI.

Compositional Few-Shot Recognition with Primitive Discovery and Enhancing

Yonghong Tian, Ke Chen, Shanghang Zhang, 2020, ACM Multimedia.

Efficient Meta-Tuning for Content-aware Neural Video Delivery

Anbang Yao, Yurong Chen, Shanghang Zhang, 2022, ECCV.

Online Continual Adaptation with Active Self-Training

Wenwu Zhu, Shanghang Zhang, Heng Chang, 2021, AISTATS.

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

Shanghang Zhang, Peng Gao, Renrui Zhang, 2022, ArXiv.

PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection

Shanghang Zhang, Yandong Guo, Kevin Zhang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks

Shanghang Zhang, Yandong Guo, Jiaming Liu, 2022, arXiv.org.

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

Shanghang Zhang, Yandong Guo, Jianing Li, 2022, ArXiv.

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

Thomas Funkhouser, Shanghang Zhang, Hao Dong, 2020, ArXiv.

Understanding Traffic Density from Large-Scale Web Camera Data

José M. F. Moura, João Paulo Costeira, Shanghang Zhang, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to Understand Image Blur

José M. F. Moura, Radomír Mech, Zhe L. Lin, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Uncertainty Guided Depth Fusion for Spike Camera

Shanghang Zhang, Lei Ma, Tiejun Huang, 2022, ArXiv.

Prototype-Voxel Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation

K. Keutzer, Hengshuang Zhao, Shanghang Zhang, 2022, 2022 International Conference on Robotics and Automation (ICRA).

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

K. Keutzer, M. Tomizuka, Shanghang Zhang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Jian Ni, Haiyong Xie, Shanghang Zhang, 2019, NeurIPS.

Decoupling Global and Local Representations via Invertible Generative Flows

Eduard H. Hovy, Shanghang Zhang, Xiang Kong, 2021, ICLR.

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

J. Moura, Yonghong Tian, Shanghang Zhang, 2020, ArXiv.

Learning graph attention-aware knowledge graph embedding

Shanghang Zhang, Jianxin Li, Xutan Peng, 2021, Neurocomputing.

Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation

Kurt Keutzer, Trevor Darrell, Shanghang Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

K. Keutzer, Zhen Dong, Shanghang Zhang, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Shanghang Zhang, Fan Yang, Shanghang Zhang, 2023, ArXiv.

Integrating Learning and Planning

Shanghang Zhang, Ruitong Huang, Huaqing Zhang, 2020 .

Expanding the prediction capacity in long sequence time-series forecasting

Shanghang Zhang, Jianxin Li, Shuai Zhang, 2023, Artif. Intell..

Multiple Source Domain Adaptation with Adversarial Training of Neural Networks pdf

José M. F. Moura, Han Zhao, Geoffrey J. Gordon, 2017, ArXiv.

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

Yonghong Tian, Shanghang Zhang, Yixiong Zou, 2020, ACM Multimedia.

MoWE: Mixture of Weather Experts for Multiple Adverse Weather Removal

Shanghang Zhang, Ruiqin Xiong, Rui Zhao, 2023, arXiv.org.

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

Shanghang Zhang, Peidong Jia, Jiaming Liu, 2023, ArXiv.

Chain of Thought Prompt Tuning in Vision Language Models

Shanghang Zhang, Jie Fu, Hongyin Luo, 2023, ArXiv.

Generalized Zero-Shot Text Classification for ICD Coding

Pengtao Xie, Eric P. Xing, Congzheng Song, 2020, IJCAI.

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

Shanghang Zhang, Jiaming Liu, Mingjie Pan, 2023, MICCAI.

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

Kenneth M. Butler, Xin Li, José Machado da Silva, 2014, 2014 International Test Conference.

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

Shanghang Zhang, Jianxin Li, Shuai Zhang, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

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

Shanghang Zhang, Shanghang Zhang, Kuiyuan Yang, 2023, ArXiv.

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

Shanghang Zhang, Chenren Xu, Tiejun Huang, 2023, HotMobile.

HUB: Guiding Learned Optimizers with Continuous Prompt Tuning

Shanghang Zhang, Wei Wu, Jie Fu, 2023, ArXiv.

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation

Shanghang Zhang, Yandong Guo, Peidong Jia, 2023, ArXiv.

Chain of Thought Prompt Tuning in Vision Language Models

Shanghang Zhang, Jie Fu, Hongyin Luo, 2023, 2304.07919.

Policy Gradient

Ruitong Huang, Shanghang Zhang, Tianyang Yu, 2020, Deep Reinforcement Learning.

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

Kurt Keutzer, Tian Li, Zhen Dong, 2020, ArXiv.

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

Kurt Keutzer, Xiang Chen, Shanghang Zhang, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Wen Gao, Huizhu Jia, Xiaodong Xie, 2012, 2012 Visual Communications and Image Processing.

PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

Shanghang Zhang, Peng Gao, Renrui Zhang, 2022, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Multiple Source Domain Adaptation with Adversarial Training of Neural Networks

José M. F. Moura, Geoffrey J. Gordon, H. Zhao, 2017, ArXiv.

Decoupling Global and Local Representations from/for Image Generation pdf

Eduard Hovy, Xuezhe Ma, Shanghang Zhang, 2020, ArXiv.

TIONS VIA INVERTIBLE GENERATIVE FLOWS

E. Hovy, Shanghang Zhang, Xuezhe Ma, 2021 .

Active Gradual Domain Adaptation: Dataset and Approach

Wenwu Zhu, Shanghang Zhang, Shiji Zhou, 2022, IEEE transactions on multimedia.

Triplet Attention: Rethinking the Similarity in Transformers

Shanghang Zhang, Jianxin Li, Shuai Zhang, 2021, KDD.

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

Xingyi Yang, Pengtao Xie, Shanghang Zhang, 2020, ArXiv.

Decoupling Features and Coordinates for Few-shot RGB Relocalization pdf

Kai Xu, Baoquan Chen, Yixin Zhuang, 2019, ArXiv.

Annealing-based Label-Transfer Learning for Open World Object Detection

Shanghang Zhang, Xianglong Liu, Jinyang Guo, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation

Shanghang Zhang, Yandong Guo, Peidong Jia, 2023, ArXiv.

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

Shanghang Zhang, Mingjie Pan, Jiaming Liu, 2023, AAAI.

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

Shanghang Zhang, Chenren Xu, Tiejun Huang, 2023, HotMobile.

QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection

K. Keutzer, Zhen Dong, Shanghang Zhang, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks

Xin Wang, Shanghang Zhang, Yasha Wang, 2023, ICML.

Modeling relation paths for knowledge base completion via joint adversarial training

Hao Peng, Philip S. Yu, Shanghang Zhang, 2020, Knowl. Based Syst..

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

T. Zhang, Shanghang Zhang, Liang Chen, 2023, Remote. Sens..

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

Shanghang Zhang, Chuang Zhu, Huihui Dong, 2019, IEEE Access.