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Active Gradual Domain Adaptation: Dataset and Approach
Shiji Zhou, Lianzhe Wang, Shanghang Zhang , Zhi Wang, Wenwu Zhu
IEEE Transactions on Multimedia(2022)

[AISTATS 2022] Online Continual Adaptation with Active Self-Training
Shiji Zhou, Han Zhao, Shanghang Zhang , Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu. and Zhu
Artificial Intelligence and Statistics Conference(2022)

[ICRA 2022] Prototypical Supervised Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation
Minzhe Liu, Qiang Zhou, Hengshuang Zhao, Jianing Li, Yuan Du, Li Du, Shanghang Zhang
International Conference on Robotics and Automation(2022)

[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, Shuai Yi, Xianglong Liu, and Ziwei Liu
Conference on Computer Vision and Pattern Recognition(2022)

[CVF 2021] 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)

[NIPS 2022] Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
Yuhang Li, Yufei Guo, Yuhang Li, Yufei Guo, Shanghang Zhang , Shikuang Deng, Yongqing Hai, Shi Gu
Advances in Neural Information Processing Systems(2021)

Caching in Dynamic Environments: a Near-optimal Online Learning Approach
Shiji Zhou, Zhi Wang, Chenghao Hu, Yinan Mao, Haopeng Yan, Chuan Wu, Shanghang Zhang , Wenwu Zhu
IEEE Transactions on Multimedia(2021)

Method to the automatic International Classification of Diseases (ICD) coding for clinical records
Shanghang Zhang , Najmeh Sadoughi, Pengtao Xie, Eric Xing
US Patent App. 16/865,335(2021)

[ACM 2021] Triplet Attention: Rethinking the Similarity in Transformers
Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining(2021)

[ACM 2021] Annotation-Efficient Untrimmed Video Action Recognition
Shanghang Zhang , Najmeh Sadoughi, Pengtao Xie, Eric Xing
ACM Multimedia(2021)

[ACM 2021] Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition
Yixiong Zou, Shanghang Zhang , JianPeng Yu, Yonghong Tian, José MF Moura
ACM Multimedia(2021)

[CVPR 2021] Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
Bo Li, Yezhen Wang, Shanghang Zhang , Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao
Conference on Computer Vision and Pattern Recognition(2021)

[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
Conference on Computer Vision and Pattern Recognition(2021)

Online Continual Adaptation with Active Self-Training
Xiangyu Yue, Zangwei Zheng, Shanghang Zhang , Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Sangiovanni Vincentelli
Conference on Computer Vision and Pattern Recognition(2021)

[ICASSP 2021] Cross-domain sentiment classification with contrastive learning and mutual information maximization
Tian Li, Xiang Chen, Shanghang Zhang Zhen Dong, Kurt Keutzer
International Conference on Acoustics, Speech and Signal Processing(2021)

[ICLR 2021] Decoupling Global and Local Representations via Invertible Generative Flows
Xuezhe Ma, Xiang Kong, Shanghang Zhang , Eduard Hovy
International Conference on Learning Representations(2021)

[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
Proceedings of AAAI(2021)

[ICDM 2021] MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series
Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang , Danding and Wang
The IEEE International Conference on Data Mining(2021)

[CVF 2021] Contrastive multimodal fusion with tupleinfonce
Yunze Liu, Qingnan Fan, Shanghang Zhang , Hao Dong, Thomas Funkhouser, Li Yi
Proceedings of the IEEE/CVF International Conference on Computer Vision(2021)

[CVF 2021] P4contrast: Contrastive learning with pairs of point-pixel pairs for rgb-d scene understanding
Yunze Liu, Li Yi, Shanghang Zhang , Qingnan Fan, Thomas Funkhouser, Hao Dong
Proceedings of the IEEE/CVF International Conference on Computer Vision(2021)

Cross-Domain Sentiment Classification with In-Domain Contrastive Learning
Tian Li, Xiang Chen, Shanghang Zhang , Zhen Dong, Kurt Keutzer

[TNNLS 2020] 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 Transactions on Neural Networks and Learning Systems(2020)

[ACM 2020] Compositional few-shot recognition with primitive discovery and enhancing
Yixiong Zou, Shanghang Zhang , Ke Chen, Yonghong Tian, Yaowei Wang, José MF Moura
Proceedings of the 28th ACM International Conference on Multimedia(2020)

Joint blur map estimation and blur desirability classification from an image
Zhe Lin, SHEN Xiaohui, Shanghang Zhang , Radomir Mech
US Patent 10,776,671(2020)

Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition
Yixiong Zou, Shanghang Zhang , José MF Moura, JianPeng Yu, Yonghong Tian

[ECCV 2020] Universal Self-Training for Unsupervised Domain Adaptation
Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang
European Conference on Computer Vision(2020)

[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
European Conference on Computer Vision(2020)

Rethinking Distributional Matching Based Domain Adaptation
Bo Li*, Yezhen Wang*, Che Tong*, Shanghang Zhang , Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer

Transfer learning or self-supervised learning? A tale of two pretraining paradigms
Xingyi Yang, Xuehai He, Yuxiao Liang, Yue Yang, Shanghang Zhang , Pengtao Xie

COVID-CT-Dataset: a CT scan dataset about COVID-19
Xingyi Yang, Xuehai He, Jinyu Zhao, Yichen Zhang, Shanghang Zhang , Pengtao Xie

[IJCAI 2020] Generalized Zero-Shot Text Classification for ICD Coding
Congzheng Song, Shanghang Zhang , Najmeh Sadoughi, Pengtao Xie, Eric Xing
International Joint Conference on Artificial Intelligence(2020)

Deep Reinforcement Learning
Hao Dong, Hao Dong, Zihan Ding, Shanghang Zhang , Chang
Deep Reinforcement Learning, 335-346

[KBS 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
Knowledge-Based Systems(2020)

[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
Thirty-Fourth AAAI Conference on Artificial Intelligence(2020)

Multi-Agent Reinforcement Learning
Huaqing Zhang, Shanghang Zhang
Deep Reinforcement Learning

Policy gradient
Ruitong Huang, Tianyang Yu, Zihan Ding, Shanghang Zhang
Deep Reinforcement Learning, 161-212

Integrating Learning and Planning
Huaqing Zhang, Ruitong Huang, Shanghang Zhang
Deep Reinforcement Learning, 307-316

Decoupling Global and Local Representations from/for Image Generation.
Xuezhe Ma, Xiang Kong, Shanghang Zhang , E Hovy

Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans
Xuehai He*, Xingyi Yang*, Shanghang Zhang , Jinyu Zhao, Yichen Zhang, Eric Xing, Pengtao Xie
Cold Spring Harbor Laboratory Press(2020)

Feature Fusion for Image Retrieval With Adaptive Bitrate Allocation and Hard Negative Mining
Chuang Zhu, Huihui Dong, Shanghang Zhang
IEEE Access

Decoupling Features and Coordinates for Few-shot RGB Relocalization
Siyan Dong, Songyin Wu, Yixin Zhuang, Shanghang Zhang , Kai Xu, Baoquan Chen

Macow: Masked convolutional generative flow
Xuezhe Ma, Xiang Kong, Shanghang Zhang , Eduard Hovy

[NIPS 2019] Dual adversarial semantics-consistent network for generalized zero-shot learning
Jian Ni, Shanghang Zhang , Haiyong Xie
Advances in Neural Information Processing Systems

Deep learning methods for estimating density and/or flow of objects, and related methods and software
José M. F. Moura, João Paulo Costeira, Shanghang Zhang , Evgeny Toropov
WO Patent WO2018187632A1

Multiple source domain adaptation with adversarial learning
Han Zhao, Shanghang Zhang , Guanhang Wu, Geoffrey J Gordon

[NIPS 2018] Adversarial multiple source domain adaptation
Han Zhao*, Shanghang Zhang* , Guanhang Wu, José MF Moura, Joao P Costeira, Geoffrey J Gordon
Advances in neural information processing systems

Deep understanding of urban mobility from CityscapeWebcams
Shanghang Zhang

Hierarchical attention networks for knowledge base completion via joint adversarial training
Chen Li, Xutan Peng, Shanghang Zhang , Jianxin Li, Lihong Wang
CoRR, abs/1810.06033

[CVPR 2018] Learning to understand image blur
Shanghang Zhang , Xiaohui Shen, Zhe Lin, Radomír Měch, Joao P Costeira, José MF Moura
Proceedings of the IEEE conference on computer vision and pattern recognition

A Deep Learning Approach to IoT Authentication
Rajshekhar Das, Akshay Gadre, Shanghang Zhang , Swarun Kumar, Jose Moura
IEEE ICC 2018 Communication and Information Systems Security Symposium

Topology adaptive graph convolutional networks
Jian Du, Shanghang Zhang , Guanhang Wu, José M. F. Moura, Soummya Kar

Multiple source domain adaptation with adversarial training of neural networks
Han Zhao, Shanghang Zhang , Guanhang Wu, Joao P Costeira, José MF Moura, Geoffrey J Gordon

[ICCV 2017] FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
Shanghang Zhang
International Conference on Computer Vision(2017)

[CVPR 2017] Understanding Traffic Density from Large-Scale Web Camera Data
Shanghang Zhang , Guanhang Wu, Joao P Costeira, José MF Moura
IEEE Conference on Computer Vision and Pattern Recognition(2017)

[NIPS 2016] Block-Coordinate Frank-Wolfe Optimization for Counting Objects in Images
Shanghang Zhang , Fei Xia
Advances in Neural Information Processing Systems (NIPS) Workshops

[ICIP 2015] Traffic flow from a low frame rate city camera
Evgeny Toropov, Liangyan Gui, Shanghang Zhang , Satwik Kottur, José MF Moura
IEEE International Conference on Image Processing(2015)

[ITC 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, Kenneth M Butler
International Test Conference(2014)

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 transactions on multimedia(2013)

[ISCAS 2013] A high-throughput low-latency arithmetic encoder design for HDTV
Yuan Li, Shanghang Zhang , Huizhu Jia, Xiaodong Xie, Wen Gao
IEEE International Symposium on Circuits and Systems(2013)

[VCIP 2012] An efficient foreground-based surveillance video coding scheme in low bit-rate compression
Shanghang Zhang , Kaijin Wei, Huizhu Jia, Xiaodong Xie, Wen Gao
Visual Communications and Image Processing(2012)

[ICME 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
IEEE International Conference on Multimedia and Expo(2012)

[PCS 2012] A flexible and high-performance hardware video encoder architecture
Kaijin Wei, Shanghang Zhang , Huizhu Jia, Don Xie, Wen Gao
Picture Coding Symposium(2012)

[CISE 2010] Modeling for the Optimal Arrangement of Providing Phone Service to a" Pseudo US"
Shanghang Zhang
International Conference on Computational Intelligence and Software Engineering(2010)

Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans. medRxiv 2020
Xuehai He, Xingyi Yang, Shanghang Zhang , Jinyu Zhao, Yichen Zhang, Eric Xing, Pengtao Xie

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