Publications (Selected)

2018


Risheng Liu, Shichao Cheng, Xiaokun Liu, Long Ma, Xin Fan, Zhongxuan Luo: A Bridging Framework for Model Optimization and Deep Propagation. NIPS (CCF A), 2018.

Risheng Liu, Xin Fan, Minjun Hou, Zhiying Jiang, Zhongxuan Luo, Lei Zhang: Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond. TNNLS (CCF B), 2018.

Risheng Liu, Yi He, Shichao Cheng, Xin Fan, and Zhongxuan Luo: Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond. ACM MM (CCF A), 2018.

Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo: Toward Designing Convergent Deep Operator Splitting Methodsfor Task-specific Nonconvex Optimization. IJCAI (CCF A), 2018.

Yi Wang, Nan Xue, Xin Fan, Jiebo Luo, Risheng Liu, Bing Chen, Haojie Li, Zhongxuan Luo: Factorization-free On-line Kernel Learning for Unlabeled Chunk Data Streams. IJCAI(CCF A), 2018.

Risheng Liu, Zhiying Jiang, Xin Fan, Haojie Li, Zhongxuan Luo: Single Image Layer Separation via Deep ADMM Unrolling. ICME(Oral, CCF B), 2018.

Shichao Cheng, Risheng Liu, Xin Fan, Zhongxuan Luo. Designing a stable feedback control system for blind image deconvolution. Neural Networks (CCF B).

Risheng Liu, Zhiying Jiang, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo. Deep Layer Prior Optimization For Single Image Rain Streaks Removal. ICASSP 2018 (CCF B).

Risheng Liu, Shiqi Li, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo. Robust Haze Removal via Joint Deep Transmission and Scene Propagation. ICASSP 2018 (Oral, CCF B).

Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang and Zhongxuan Luo. Proximal Alternating Direction Networks: A Globally Converged Deep Unrolling Framework. AAAI 2018 (CCF A).

Xin Fan, Risheng Liu, Kang Huyan and Zhongxuan Luo. Self-reinforced Cascaded Regression for Face Alignment. AAAI 2018 (CCF A).

Nenggan Zheng, Jun Wen, Risheng Liu, Liangqu Long, Jianhua Dai and Zhefeng Gong. Unsupervised Representation Learning with Long-Term Dynamics for Skeleton Based Action Recognition. AAAI 2018 (CCF A).

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, 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), 2017.

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

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, 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 , 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).





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).

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).

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).

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





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).
[2]. Kewei Tang, Risheng Liu, Zhixun Su and Jie Zhang. Structure Constrained Low-Rank Representation. IEEE Trans. NNLS (IF=3.766, SCI, CCF B).
[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). (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).
[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).
[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).
[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).
[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).
[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).
[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).
[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).
[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).

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).
[2]. Risheng Liu, Zhouchen Lin, Fernando De la Torre and Zhixun Su. Fixed-Rank Representation for Unsupervised Visual Learning. CVPR, 2012 (EI, CCF A).
[3]. Zhouchen Lin, Risheng Liu and Zhixun Su. Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation. NIPS, 2011 (EI,CCF A).
[4]. Risheng Liu, Zhouchen Lin, Wei Zhang and Zhixun Su. Learning PDEs for Image Restoration via Optimal Control. ECCV, 2010 (EI, B).
[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, 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).
[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, 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).
[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).
[10]. Risheng Liu, Zhixun Su, Zhouchen Lin and Xiaoyu Hou. Lorentzian Discriminant Projection and Its Applications. ACCV, 2009 (EI, CCF C).
[11]. Guangyu Zhong, Risheng Liu, and Zhixun Su. Robust Visual Tracking via Discriminative Sequential Ranking. ICIP, 2015 (EI, CCF C).
[12]. Jing Wang, Yiyang Wang, Risheng Liu and Zhixun Su. Visual Tracking via Orthogonal Sparse Coding. ICIP, 2015 (EI, CCF C).
[13]. Di Wang, Risheng Liu, and Zhixun Su. Robust Visual Tracking via Guided Low-Rank Subspace Learning. ICIP, 2015 (EI, CCF C).
[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).
[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, 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).
[17]. Jinshan Pan, Zhixun Su, Maoran Bian and Risheng Liu. Saliency Detection based on an Edge-preserving Filter. ICIP 2013 (EI, CCF C).
[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).
[19]. Binghui Wang, Risheng Liu, Chuang Lin, Xin Fan. Matrix Factorization with Column L0-Norm Constraint for Robust Mult-subspace Analysis. ICDM(W), 2015.