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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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Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets


May 20, 2019
Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao

* Accepted by ACL 2019 

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Model-Protected Multi-Task Learning


Sep 19, 2018
Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang

* Supplemental materials are attached at the end of the main paper 

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Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach


Sep 04, 2018
Lingxiao He, Jian Liang, Haiqing Li, Zhenan Sun

* 8 pages, 11 figures, accepted by CVPR 2018 

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Robust Localized Multi-view Subspace Clustering


May 22, 2017
Yanbo Fan, Jian Liang, Ran He, Bao-Gang Hu, Siwei Lyu

* 7 pages 

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Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm


Feb 28, 2017
Ziang Yan, Jian Liang, Weishen Pan, Jin Li, Changshui Zhang

* 9 pages 

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Self-Paced Learning: an Implicit Regularization Perspective


Sep 18, 2016
Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu

* 12 pages, 3 figures 

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