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Semi-Supervised Domain Generalizable Person Re-Identification


Sep 09, 2021
Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei


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Learning to Collaborate


Aug 19, 2021
Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang


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Fair and Consistent Federated Learning


Aug 19, 2021
Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang


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Semantic Concentration for Domain Adaptation


Aug 12, 2021
Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li

* Accepted by ICCV 2021 

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Hybrid Reasoning Network for Video-based Commonsense Captioning


Aug 05, 2021
Weijiang Yu, Jian Liang, Lei Ji, Lu Li, Yuejian Fang, Nong Xiao, Nan Duan

* 11 pages, 6 figures 

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Give Me Your Trained Model: Domain Adaptive Semantic Segmentation without Source Data


Jun 22, 2021
Yuxi Wang, Jian Liang, Zhaoxiang Zhang


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No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data


Jun 09, 2021
Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng

* 21 pages 

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Distill and Fine-tune: Effective Adaptation from a Black-box Source Model


Apr 04, 2021
Jian Liang, Dapeng Hu, Ran He, Jiashi Feng


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On Evolving Attention Towards Domain Adaptation


Mar 25, 2021
Kekai Sheng, Ke Li, Xiawu Zheng, Jian Liang, Weiming Dong, Feiyue Huang, Rongrong Ji, Xing Sun

* Among the first to study arbitrary domain adaptation from the perspective of network architecture design 

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Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning


Feb 12, 2021
Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng


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Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer


Dec 14, 2020
Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng

* arXiv admin note: text overlap with arXiv:2002.08546 

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Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation


Dec 13, 2020
Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin

* Accepted as AAAI 2021. The code is publicly available at https://github.com/BIT-DA/BCDM 

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A Lane-Changing Prediction Method Based on Temporal Convolution Network


Nov 01, 2020
Yue Zhang, Yajie Zou, Jinjun Tang, Jian Liang


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Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark


Oct 15, 2020
Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao


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Robust Finite Mixture Regression for Heterogeneous Targets


Oct 12, 2020
Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang

* Data Mining and Knowledge Discovery, volume 32, pages 1509 to 1560, year 2018 

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Domain Agnostic Learning for Unbiased Authentication


Oct 11, 2020
Jian Liang, Yuren Cao, Shuang Li, Bing Bai, Hao Li, Fei Wang, Kun Bai


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Hybrid Differentially Private Federated Learning on Vertically Partitioned Data


Sep 06, 2020
Chang Wang, Jian Liang, Mingkai Huang, Bing Bai, Kun Bai, Hao Li


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Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning


Aug 25, 2020
Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang


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Relation-Guided Representation Learning


Jul 11, 2020
Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu

* Appear in Neural Networks 

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Combating Domain Shift with Self-Taught Labeling


Jul 08, 2020
Jian Liang, Dapeng Hu, Jiashi Feng


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Adversarial Infidelity Learning for Model Interpretation


Jun 27, 2020
Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang

* 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20), August 23--27, 2020, Virtual Event, USA 

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Why is Attention Not So Attentive?


Jun 10, 2020
Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang


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General-Purpose User Embeddings based on Mobile App Usage


May 27, 2020
Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang

* To be published in the KDD2020 proceedings as a full paper 

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PANDA: Prototypical Unsupervised Domain Adaptation


Apr 12, 2020
Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng


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A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation


Mar 05, 2020
Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng


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Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation


Feb 20, 2020
Jian Liang, Dapeng Hu, Jiashi Feng


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Additive Adversarial Learning for Unbiased Authentication


May 28, 2019
Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu

* IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'2019) 

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