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2020 – today
- 2022
[j6]Shiji Zhou, Lianzhe Wang, Shanghang Zhang, Zhi Wang, Wenwu Zhu:
Active Gradual Domain Adaptation: Dataset and Approach. IEEE Trans. Multim. 24: 1210-1220 (2022)- [j5]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:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(2): 473-493 (2022) - [c33]Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu:
Online Continual Adaptation with Active Self-Training. AISTATS 2022: 8852-8883 - [c32]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:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. WACV 2022: 1050-1060 - [i33]Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu:
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. CoRR abs/2202.11946 (2022) - [i32]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
Cross-Domain Object Detection with Mean-Teacher Transformer. CoRR abs/2205.01643 (2022) - [i31]Zhen Dong, Kaicheng Zhou, Guohao Li, Qiang Zhou, Mingfei Guo, Bernard Ghanem, Kurt Keutzer, Shanghang Zhang:
UnrealNAS: Can We Search Neural Architectures with Unreal Data? CoRR abs/2205.02162 (2022) - 2021
- [j4]Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li:
Learning graph attention-aware knowledge graph embedding. Neurocomputing 461: 516-529 (2021) - [c31]Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang:
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. AAAI 2021: 11106-11115 - [c30]Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao:
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. CVPR 2021: 1104-1113 - [c29]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation. CVPR 2021: 13834-13844 - [c28]Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization. ICASSP 2021: 8203-8207 - [c27]Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas A. Funkhouser, Li Yi:
Contrastive Multimodal Fusion with TupleInfoNCE. ICCV 2021: 734-743 - [c26]Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu:
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency. ICCV 2021: 8846-8855 - [c25]Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang:
MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. ICDM 2021: 1481-1486 - [c24]Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
Decoupling Global and Local Representations via Invertible Generative Flows. ICLR 2021 - [c23]Haoyi Zhou, Jianxin Li, Jieqi Peng, Shuai Zhang, Shanghang Zhang:
Triplet Attention: Rethinking the Similarity in Transformers. KDD 2021: 2378-2388 - [c22]Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura:
Annotation-Efficient Untrimmed Video Action Recognition. ACM Multimedia 2021: 487-495 - [c21]Yixiong Zou, Shanghang Zhang, Jianpeng Yu, Yonghong Tian, José M. F. Moura:
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition. ACM Multimedia 2021: 741-749 - [c20]Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu:
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks. NeurIPS 2021: 23426-23439 - [i30]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:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. CoRR abs/2103.12718 (2021) - [i29]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation. CoRR abs/2103.16765 (2021) - [i28]Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu:
Online Continual Adaptation with Active Self-Training. CoRR abs/2106.06526 (2021) - [i27]Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Shuai Yi, Xianglong Liu, Ziwei Liu:
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. CoRR abs/2106.07617 (2021) - [i26]Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas A. Funkhouser, Li Yi:
Contrastive Multimodal Fusion with TupleInfoNCE. CoRR abs/2107.02575 (2021) - [i25]Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu:
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency. CoRR abs/2107.11355 (2021) - [i24]Haojin Liao, Xiaolin Song, Sicheng Zhao, Shanghang Zhang, Xiangyu Yue, Xingxu Yao, Yueming Zhang, Tengfei Xing, Pengfei Xu, Qiang Wang:
2nd Place Solution for VisDA 2021 Challenge - Universally Domain Adaptive Image Recognition. CoRR abs/2110.14240 (2021) - 2020
- [j3]Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang:
Modeling relation paths for knowledge base completion via joint adversarial training. Knowl. Based Syst. 201-202: 105865 (2020) - [c19]Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-Source Distilling Domain Adaptation. AAAI 2020: 12975-12983 - [c18]Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang:
TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. ECCV (3) 2020: 171-188 - [c17]Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang:
Instance Adaptive Self-training for Unsupervised Domain Adaptation. ECCV (26) 2020: 415-430 - [c16]Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing:
Generalized Zero-Shot Text Classification for ICD Coding. IJCAI 2020: 4018-4024 - [c15]Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian, Yaowei Wang, José M. F. Moura:
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. ACM Multimedia 2020: 156-164 - [i23]Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
Decoupling Global and Local Representations from/for Image Generation. CoRR abs/2004.11820 (2020) - [i22]Yixiong Zou, Shanghang Zhang, Ke Chen, José M. F. Moura, Yaowei Wang, Yonghong Tian:
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. CoRR abs/2005.06047 (2020) - [i21]Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer:
Rethinking Distributional Matching Based Domain Adaptation. CoRR abs/2006.13352 (2020) - [i20]Xingyi Yang, Xuehai He, Yuxiao Liang, Yue Yang, Shanghang Zhang, Pengtao Xie:
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms. CoRR abs/2007.04234 (2020) - [i19]Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang:
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning. CoRR abs/2007.06793 (2020) - [i18]Yixiong Zou, Shanghang Zhang, José M. F. Moura, Jianpeng Yu, Yonghong Tian:
Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition. CoRR abs/2008.03128 (2020) - [i17]Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang:
Instance Adaptive Self-Training for Unsupervised Domain Adaptation. CoRR abs/2008.12197 (2020) - [i16]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:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. CoRR abs/2009.00155 (2020) - [i15]Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao:
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation. CoRR abs/2010.04647 (2020) - [i14]Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization. CoRR abs/2010.16088 (2020) - [i13]Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura:
Annotation-Efficient Untrimmed Video Action Recognition. CoRR abs/2011.14478 (2020) - [i12]Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification with In-Domain Contrastive Learning. CoRR abs/2012.02943 (2020) - [i11]Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang:
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. CoRR abs/2012.07436 (2020) - [i10]Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas A. Funkhouser, Hao Dong:
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding. CoRR abs/2012.13089 (2020)
2010 – 2019
- 2019
- [j2]Chuang Zhu, Huihui Dong, Shanghang Zhang:
Feature Fusion for Image Retrieval With Adaptive Bitrate Allocation and Hard Negative Mining. IEEE Access 7: 161858-161870 (2019) - [c14]Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy:
MaCow: Masked Convolutional Generative Flow. NeurIPS 2019: 5891-5900 - [c13]Jian Ni, Shanghang Zhang, Haiyong Xie:
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning. NeurIPS 2019: 6143-6154 - [i9]Jian Ni, Shanghang Zhang, Haiyong Xie:
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning. CoRR abs/1907.05570 (2019) - [i8]Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric P. Xing:
Generalized Zero-shot ICD Coding. CoRR abs/1909.13154 (2019) - [i7]Siyan Dong, Songyin Wu, Yixin Zhuang, Shanghang Zhang, Kai Xu, Baoquan Chen:
Decoupling Features and Coordinates for Few-shot RGB Relocalization. CoRR abs/1911.11534 (2019) - [i6]Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-source Distilling Domain Adaptation. CoRR abs/1911.11554 (2019) - 2018
- [c12]Shanghang Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, João Paulo Costeira, José M. F. Moura:
Learning to Understand Image Blur. CVPR 2018: 6586-6595 - [c11]Rajshekhar Das, Akshay Gadre, Shanghang Zhang, Swarun Kumar, José M. F. Moura:
A Deep Learning Approach to IoT Authentication. ICC 2018: 1-6 - [c10]Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon:
Multiple Source Domain Adaptation with Adversarial Learning. ICLR (Workshop) 2018 - [c9]Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, João Paulo Costeira, Geoffrey J. Gordon:
Adversarial Multiple Source Domain Adaptation. NeurIPS 2018: 8568-8579 - [i5]Chen Li, Xutan Peng, Shanghang Zhang, Jianxin Li, Lihong Wang:
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training. CoRR abs/1810.06033 (2018) - 2017
- [c8]Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura:
Understanding Traffic Density from Large-Scale Web Camera Data. CVPR 2017: 4264-4273 - [c7]Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura:
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras. ICCV 2017: 3687-3696 - [i4]Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura:
Understanding Traffic Density from Large-Scale Web Camera Data. CoRR abs/1703.05868 (2017) - [i3]Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon:
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks. CoRR abs/1705.09684 (2017) - [i2]Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura:
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras. CoRR abs/1707.09476 (2017) - [i1]Jian Du, Shanghang Zhang, Guanhang Wu, José M. F. Moura, Soummya Kar:
Topology adaptive graph convolutional networks. CoRR abs/1710.10370 (2017) - 2015
- [c6]Evgeny Toropov, Liangyan Gui, Shanghang Zhang, Satwik Kottur, José M. F. Moura:
Traffic flow from a low frame rate city camera. ICIP 2015: 3802-3806 - 2014
- [c5]Shanghang Zhang, Xin Li, Ronald D. Blanton, José Machado da Silva, John M. Carulli Jr., Kenneth M. Butler:
Bayesian model fusion: Enabling test cost reduction of analog/RF circuits via wafer-level spatial variation modeling. ITC 2014: 1-10 - 2013
- [j1]Chuang Zhu, Huizhu Jia, Shanghang Zhang, Xiaofeng Huang, Xiaodong Xie, Wen Gao:
On a Highly Efficient RDO-Based Mode Decision Pipeline Design for AVS. IEEE Trans. Multim. 15(8): 1815-1829 (2013) - [c4]Yuan Li, Shanghang Zhang, Huizhu Jia, Xiaodong Xie, Wen Gao:
A high-throughput low-latency arithmetic encoder design for HDTV. ISCAS 2013: 998-1001 - 2012
- [c3]Kaijin Wei, Rongwei Zhou, Shanghang Zhang, Huizhu Jia, Don Xie, Wen Gao:
An Optimized Hardware Video Encoder for AVS with Level C+ Data Reuse Scheme for Motion Estimation. ICME 2012: 1055-1060 - [c2]Kaijin Wei, Shanghang Zhang, Huizhu Jia, Don Xie, Wen Gao:
A flexible and high-performance hardware video encoder architecture. PCS 2012: 373-376 - [c1]Shanghang Zhang, Kaijin Wei, Huizhu Jia, Xiaodong Xie, Wen Gao:
An efficient foreground-based surveillance video coding scheme in low bit-rate compression. VCIP 2012: 1-6
Coauthor Index
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