Shanghang Zhang

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Cross-Domain Sentiment Classification with In-Domain Contrastive Learning

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

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Annotation-Efficient Untrimmed Video Action Recognition

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

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Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization

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

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Compositional Few-Shot Recognition with Primitive Discovery and Enhancing

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

MM '20: The 28th ACM International Conference on Multimedia Seattle WA USA ..., pp.156-164, (2020)

EIBibtex

Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation

Bo Li, Yezhen Wang,Shanghang Zhang,Dongsheng Li,Trevor Darrell,Kurt Keutzer,Han Zhao

Cited by1Bibtex

Instance Adaptive Self-Training for Unsupervised Domain Adaptation

Ke Mei, Chuang Zhu, Jiaqi Zou,Shanghang Zhang

european conference on computer vision, pp.415-430, (2020)

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

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

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Rethinking Distributional Matching Based Domain Adaptation

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

Cited by5Bibtex

Compositional Few-Shot Recognition with Primitive Discovery and Enhancing

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

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Decoupling Global and Local Representations from/for Image Generation

Ma Xuezhe,Kong Xiang,Zhang Shanghang,Hovy Eduard

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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

AAAI, pp.12975-12983, (2020)

Cited by20EIBibtex

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

Jian Ni,Shanghang Zhang,Haiyong Xie

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 6143-6154

Cited by4EIBibtex

MaCow: Masked Convolutional Generative Flow

Xuezhe Ma,Xiang Kong,Shanghang Zhang,Eduard Hovy

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 5891-5900

Cited by20EIBibtex

Adversarial Multiple Source Domain Adaptation

Han Zhao,Shanghang Zhang, Guanhang Wu,Joao P. Costeira,Jose M. F. Moura,Geoffrey J. Gordon

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018)

Bibtex

Multiple Source Domain Adaptation with Adversarial Learning

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

international conference on learning representations, (2018)

Cited by3EIBibtex

Adversarial Multiple Source Domain Adaptation

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

NeurIPS, pp.8568-8579, (2018)

Cited by64EIBibtex

A Deep Learning Approach to IoT Authentication

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

ICC, pp.1-6, (2018)

Cited by35EIBibtex

Topology adaptive graph convolutional networks

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

arXiv: Learning, (2018)

Cited by33EIBibtex

Learning to Understand Image Blur

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

CVPR, pp.6586-6595, (2018)

Cited by22EIBibtex

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

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

ICCV, (2017): 3687-3696

Cited by80EIBibtex

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Papers28 papers

Shanghang Zhang