Publications (Selected)

2017

Bo Li, Risheng Liu, Junjie Cao, Yukun Lai, Jie Zhang, and Xiuping Liu: Online Low-Rank Representation Learning for Joint Multi-Subspace Recovery and Clustering. IEEE TIP, 2017 (IF=4.828, SCI, EI,CCF A Journal, Area 2).

Xin Fan, Risheng Liu, Zhongxuan Luo, Yuntao Li, YuyaoFeng: Explicit Shape Regression with Characteristic Number for Facial Landmark Localization. IEEE Transactions on Multimedia (Volume: PP, Issue: 99).

Meng Pang, Yiuming Chueng, Binghui Wang, Risheng Liu: Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. CIKM(CCF B Conference), 2017.

Lingxiao Yang, Risheng Liu, David Zhang, Lei Zhang: Deep Location-Specific Tracking. ACM Multimedia(CCF A Conference), 2017.

Yuzhuo Han, Risheng Liu, Guanyu Zhong, Xin Fan, Haojie Li, Zhongxuan Luo: Discriminative anisotropic propagation with heat source estimation for robust object tracking. Neural Computing and Applications, 2017.

Risheng Liu, Di Wang, Yuzhuo Han, Xin Fan, Zhongxuan Luo: Adaptive Online Low-rank Subspace Learning and Applications to Robust Object Tracking. Neural Networks, 2017 (IF=3.216, SCI, CCF B Journal).

Risheng Liu, Xiangyu Wang, Xin Fan, Haojie Li, Zhongxuan Luo: Deep Hybrid Residual Learning with Statistic Priors for Single Image Super-Resolution. ICME, 2017 (Oral, EI, CCF B Conference, the Finalist of the World’s FIRST 10K Best Paper Award at ICME2017).

Risheng Liu, Shichao Cheng, Xin Fan, Zhongxuan Luo: Blind Image Deblurring via Adaptive Dynamical System Learning. ICME, 2017 (Oral, EI, CCF B Conference, the Finalist of the World’s FIRST 10K Best Paper Award at ICME2017).

Yuyao Feng, Risheng Liu, Xin Fan, Kang, Huyan, Zhongxuan Luo: Leveraging Geometric Correlation for Input-adaptive Facial Landmark Regression. ICME, 2017 (EI, CCF B Conference).





2016

Risheng Liu, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan, Zhongxuan Luo. Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis. IEEE TPAMI, 2016 (IF=5.728, SCI, CCF A Journal).

Kewei Tang, David B. Dunson, Zhixun Su, Risheng Liu, Jie Zhang, Jiangxin Dong. Subspace Segmentation by Dense Block and Sparse Representation. Neural Networks, 2016 (IF=3.216, SCI, CCF B Journal).

Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su. A Nonlocal L0 Model with Regression Predictor for Saliency Detection and Extension. TVC, 2016 (IF=1.073, SCI, CCF C Journal).

Yiyang Wang, Risheng Liu, Xiaoliang Song, Zhixun Su. Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization. AAAI, 2016 (EI, CCF A Conference).





2015 And Before

Journal

[1]. Risheng Liu, Zhouchen Lin, and Zhixun Su. Learning Markov Random Walks for Robust Subspace Clustering and Estimation. Neural Networks, 2014 (IF=3.216, SCI, CCF B Journal).
[2]. Kewei Tang, Risheng Liu, Zhixun Su and Jie Zhang. Structure Constrained Low-Rank Representation. IEEE Trans. NNLS (IF=3.766, SCI, CCF B Journal).
[3]. Yue Deng, Qionghai Dai, Risheng Liu, Zengke Zhang and Sanqing Hu. Low-Rank Structure Learning via Non-Convex Heuristic Recovery. IEEE Trans. NNLS, 2013 (IF=3.766, SCI, CCF B Journal). (Recommmended IEEE Computational Intelligence Magazine Publication Spotlight.).
[4]. Risheng Liu, Zhouchen Lin, Zhixun Su and Kewei Tang. Feature Extraction by Learning Lorentzian Metric Tensor and Its Extensions. Pattern Recognition, 2010 (IF=3.219,SCI,CCF B Journal).
[5]. Zhouchen Lin, Risheng Liu, and Huan Li. Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. Machine Learning Journal (IF=1.454, SCI, CCF B Journal).
[6]. Xiuping Liu, Jie Zhang, Risheng Liu, Bo Li, Jun Wang and Junjie Cao. Low-rank 3D Mesh Segmentation and Labeling with Structure Guiding. Computers & Graphics, 2015.(IF=1.029,SCI, CCF C Journal).
[7]. Xiuping Liu, Shuhua Li, Risheng Liu, Jun Wang, Hui Wang and Junjie Cao. Properly Constrained Orthonormal Functional Maps for Intrinsic Symmetries. Computers & Graphics, 2015. (IF=1.029,SCI, CCF C Journal).
[8]. Guangyu Zhong, Risheng Liu, Junjie Cao and Zhixun Su. A Generalized Nonlocal Mean Framework with Object-Level Cues for Saliency Detection. TVC, 2015 (IF=1.073, SCI, CCF C Journal).
[9]. Risheng Liu, Zhouchen Lin, Zhixun Su and Junbin Gao. Linear Time Principal Component Pursuit and Its Extensions Using Filtering. Neurocomputing, 2014 (IF=1.634, SCI, CCF C Journal).
[10]. Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang and Zhixun Su. Toward Designing Intelligent PDEs for Computer Vision: An Optimal Control Approach. Image and Vision Computing, 2013 (IF=1.952, SCI, CCF C Journal).
[11]. Changcheng Zhang, Risheng Liu, Tianshuang Qiu, and Zhixun Su.Robust Visual Tracking via Incremental Low-rank Features Learning. Neurocomputing, 2013 (IF=1.634,SCI, CCF C Journal).
[12]. Jinshan Pan, Risheng Liu, Zhixun Su, and Xianfeng Gu. Kernel Estimation from Salient Structure for Robust Motion Deblurring. Signal Processing: Image Communication, 2013 (IF=1.423, SCI, CCF C Journal).

Conference

[1]. Risheng Liu, Junjie Cao, Zhouchen Lin and Shiguang Shan. Adaptive Partial Differential Equation Learning for Visual Saliency Detection. CVPR, 2014 (Oral, : 5.75%, EI, CCF A Conference).
[2]. Risheng Liu, Zhouchen Lin, Fernando De la Torre and Zhixun Su. Fixed-Rank Representation for Unsupervised Visual Learning. CVPR, 2012 (EI, CCF A Conference).
[3]. Zhouchen Lin, Risheng Liu and Zhixun Su. Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation. NIPS, 2011 (EI,CCF A Conference).
[4]. Risheng Liu, Zhouchen Lin, Wei Zhang and Zhixun Su. Learning PDEs for Image Restoration via Optimal Control. ECCV, 2010 (EI, B Conference).
[5]. Yuntao Li, Xin Fan, Risheng Liu, Yuyao Feng, Zhongxuan Luo and Zezhou Li. Characteristic Number Regression for Facial Feature Extraction. ICME, 2015 (Oral, Accept rate:15%, EI, CCF B Conference, Best Student Paper Award).
[6]. Jinshan Pan, Risheng Liu, Zhixun Su and Guili Liu. Motion Blur Kernel Estimation via Salient Edges and Low Rank Prior. ICME, 2014 (EI, Oral, CCF B Conference).
[7]. Wei Jin, Risheng Liu, Zhixun Su, Changcheng Zhang and Shanshan Bai. Robust Visual Tracking Using Latent Subspace Projection Pursuit. ICME, 2014 (EI, Oral, CCF B Conference, Best Student Paper Award).
[8]. Shanshan Bai, Risheng Liu, Zhixun Su, Changcheng Zhang and Jin Wei. Incremental Robust Local Dictionary Learning for Visual Tracking. ICME, 2014 (EI, CCF B Conference).
[9]. Yiyang Wang, Risheng Liu, Xiaoliang Song and Zhixun Su. Nonlocal L0 Minimization for Saliency Detection, ACCV, 2014 (Oral, Accept rate:< 4%, EI, CCF C Conference).
[10]. Risheng Liu, Zhixun Su, Zhouchen Lin and Xiaoyu Hou. Lorentzian Discriminant Projection and Its Applications. ACCV, 2009 (EI, CCF C Conference).
[11]. Guangyu Zhong, Risheng Liu, and Zhixun Su. Robust Visual Tracking via Discriminative Sequential Ranking. ICIP, 2015 (EI, CCF C Conference).
[12]. Jing Wang, Yiyang Wang, Risheng Liu and Zhixun Su. Visual Tracking via Orthogonal Sparse Coding. ICIP, 2015 (EI, CCF C Conference).
[13]. Di Wang, Risheng Liu, and Zhixun Su. Robust Visual Tracking via Guided Low-Rank Subspace Learning. ICIP, 2015 (EI, CCF C Conference).
[14]. Difei Gao, Lili Pan, Risheng Liu, Rui Chen, and Mei Xie. Correlated Warped Gaussian Processes for Gender-Specific Age Estimation. ICIP, 2015 (EI, CCF C Conference).
[15]. Meng Pang, Chuang Lin, Risheng Liu, Xin Fan and Jifeng Jiang. Sparse Concept Discriminant Matrix Factorization for Image Representation. ICIP, 2015 (EI, CCF C Conference, Oral, Top 10% paper).
[16]. Lili Pan, Risheng Liu and Mei Xie. Mixture of Related Regressions for Head Pose Estimation. ICIP 2013 (EI, CCF C Conference).
[17]. Jinshan Pan, Zhixun Su, Maoran Bian and Risheng Liu. Saliency Detection based on an Edge-preserving Filter. ICIP 2013 (EI, CCF C Conference).
[18]. Hao Ji, Risheng Liu, Fei Su, Zhixun Su and Yan Tian. Robust Head Pose Estimation via Convex Regularized Sparse Regression. ICIP, 2011 (CCF C Conference).
[19]. Binghui Wang, Risheng Liu, Chuang Lin, Xin Fan. Matrix Factorization with Column L0-Norm Constraint for Robust Mult-subspace Analysis. ICDM(W), 2015.