少监督学习：领域自适应、特征表示及迁移学习

可信人工智能：联邦学习、模型鲁棒性及泛化性研究

   

081104-模式识别与智能系统

迁移学习
计算机视觉

2013-09--2019-01   中国科学院大学   博士（模式识别与智能系统）
2009-09--2013-07   西安交通大学   学士 （自动化专业）

2021-06~现在, 中国科学院自动化所, 副研究员
2019-06~2021-05,新加坡国立大学, 博士后

   

（1） 北京市科技新星, , 部委级, 2021
（2） 中科院特别研究助理, , 院级, 2021
（3） 中科院优秀博士毕业论文, , 院级, 2020
（4） 中科院院长优秀奖, , 院级, 2018
（5） IEEE ISM Best Paper Candidate, 其他, 2016

[1] 赫然, 孙哲南, 李志航, 梁坚, 曹冬. 一种基于子空间的自步跨模态匹配方法. CN: CN105930873B, 2019-02-12.
[2] 赫然, 谭铁牛, 孙哲南, 梁坚. 一种跨文本模态和图像模态的数据检索方法. CN: CN105205096B, 2019-02-12.

全部论文列表请参考：https://liangjian.xyz/publications.html

部分论文如下：

[1]. Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, and Jiashi Feng. "Source data-absent unsupervised domain adaptation through hypothesis transfer and labeling transfer." IEEE TPAMI-2021. (CCF-A类)

[2]. Jian Liang, Ran He, Zhenan Sun, and Tieniu Tan. "Aggregating randomized clustering-promoting invariant projections for domain adaptation." IEEE TPAMI-2019. (CCF-A类)

[3]. Jian Liang, Dapeng Hu, Jiashi Feng, and Ran He. "DINE: Domain Adaptation from Single and Multiple Black-box Predictors." In Proc. CVPR-2022. (CCF-A类, Oral)

[4]. Jian Liang, Dapeng Hu, and Jiashi Feng. "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier." In Proc. CVPR-2021. (CCF-A类)

[5]. Jian Liang, Dapeng Hu, and Jiashi Feng. "Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation." In Proc. ICML-2020. (CCF-A类)

[6]. Jian Liang, Ran He, Zhenan Sun, and Tieniu Tan. "Distant supervised centroid shift: A simple and efficient approach to visual domain adaptation." In Proc. CVPR-2019. (CCF-A类)

[7]. Jian Liang*, Zhihang Li*, Dong Cao, Ran He, and Jingdong Wang. "Self-paced cross-modal subspace matching." In Proc. SIGIR-2016. (CCF-A类, Oral)

[8]. Jian Liang, Ran He, Zhenan Sun, and Tieniu Tan. "Group-invariant cross-modal subspace learning." In Proc. IJCAI-2016. (CCF-A类, Oral)

[9]. Jian Liang, Ran He, Zhenan Sun, and Tieniu Tan. "Exploring uncertainty in pseudo-label guided unsupervised domain adaptation." Pattern Recognition (PR) 2019. (CCF-B类)

[10]. Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, and Jiashi Feng. "A balanced and uncertainty-aware approach for partial domain adaptation." In Proc. ECCV-2020. (CCF-B类)

[11]. Boqiang Xu, Lingxiao He, Jian Liang, and Zhenan Sun. "Learning Feature Recovery Transformer for Occluded Person Re-identification." IEEE TIP-2022. (CCF-A类, 通讯作者)

[12]. Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, and Yunpeng Chen. "Adversarial Domain Adaptation with Prototype-Based Normalized Output Conditioner." IEEE TIP-2021. (CCF-A类, 通讯作者)

[13]. Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, and Jiashi Feng. "No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data." In Proc. NeurIPS-2021. (CCF-A类, 通讯作者)

[14]. Lingxiao He*, Jian Liang*, Haiqing Li, and Zhenan Sun. "Deep spatial feature reconstruction for partial person re-identification: Alignment-free approach." In Proc. CVPR-2018. (CCF-A类, 共同一作)

[15]. Yafeng Zhan*, Jianze Wei*, Jian Liang, Xiu Xu, Ran He, Trevor W. Robbins, and Zheng Wang. "Diagnostic classification for human autism and obsessive-compulsive disorder based on machine learning from a primate genetic model." American Journal of Psychiatry-2021. (中科院1区)

[16]. Ziming Yang, Jian Liang, Chaoyou Fu, Mandi Luo, and Xiangyu Zhang. “Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement." IEEE TIFS-2022. (CCF-A类)

[17]. Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip Torr, Song Bai, and Vincent YF Tan. "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning." In Proc. CVPR-2022. (CCF-A类)

[18]. Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, and Jiashi Feng. "Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning." In Proc. NeurIPS-2021. (CCF-A类)

[19]. Yanbo Fan, Ran He, Jian Liang, and Baogang Hu. "Self-paced learning: an implicit regularization perspective." In AAAI-2017. (CCF-A类，Oral)

[20]. Boqiang Xu, Jian Liang, Lingxiao He, and Zhenan Sun. "META: Mimicking Embedding via oThers' Aggregation for Generalizable Person Re-identification." Proc. ECCV-2022. (CCF-B类)