Risheng Liu is currently a full professor with the Digital Media Department at International School of Information Science & Engineering, Dalian University of Technology (DUT). He obtained his B.Sc. (2007) and Ph.D. (2012) from Dalian University of Technology, China. From 2010 to 2012, he was doing research as joint Ph.D. in robotics institute at Carnegie Mellon University. From 2016 to 2018, He was doing research as Hong Kong Scholar at the Hong Kong Polytechnic University. He was awarded the “Outstanding Youth Science Foundation” of the National Natural Science Foundation of China and the “Top Young Talents” in Liaoning province. He serves as the program committee of top-tier conferences, including IJCAI (Senior PC), AAAI (Senior PC), NIPS, ICML, CVPR, ICCV, ACM MM, ECCV, ICLR, etc. He also serves as editor for the Journal of Electronic Imaging (Senior Editor), The Visual Computer, and IET Image Processing.
Research Interests
Machine Learning and Deep Learning
Computer Vision
Optimization
Services
Journal Editor
Senior Editor, Journal of Electronic Imaging.
Associate Editor, The Visual Computer Journal.
Associate Editor, IET Image Processing.
Guest Editor, Special Issue on the Visual Information Processing for Underwater Images and Videos: Theories, Algorithms, and Applications, Signal Processing: Image Communication.
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement. Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo
CVPR (CCF-A)
Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement. Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo
TNNLS (CCF-B)
Collaborative Reflectance-and-Illumination Learning for High-Efficient Low-light Image Enhancement. Guijing Zhu, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo
IEEE ICME (CCF-B) (Oral)
HALDeR: Hierarchical Attention-guided Learning with Detail-refinement for Multi-Exposure Image Fusion. Jinyuan Liu, JingJie Shang, Risheng Liu, Xin Fan
IEEE ICME (CCF-B) (Oral)
Video Deraining via Temporal Aggregation-and-Guidance. Long Ma, Risheng Liu, Xuefeng Zhang, Wei Zhong, Xin Fan
IEEE ICME(CCF-B)
Searching Frame-Recurrent Attentive Deformable Network for Real-time Video Deraining. Xinwei Xue, Xiangyu Meng, Long Ma, Yi Wang, Risheng Liu, Xin Fan
IEEE ICME (CCF-B)
Spatial-Temporal Integration Network with Self-Guidance for Robust Video Deraining. Xiaokun Liu, Risheng Liu, Long Ma, Xin Fan, Zhongxuan Luo
IEEE ICME (CCF-B)
STAR-Net: Spatial-Temporal Attention Residual Network for Video Deraining. Wei Zhong, Xuefeng Zhang, Long Ma, Risheng Liu, Xin Fan, Zhongxuan Luo
IEEE ICME (CCF-B)
Hardware-aware Low-light Image Enhancement via One-shot Neural Architecture Search with Shrinkage Sampling. Yuansheng Yao, Risheng Liu, Jiaao Zhang, Wei Zhong, Xin Fan, Zhongxuan Luo
IEEE ICME (CCF-B)
NASA: a Noise-Adaptive and Structure-Aware Learning Framework for Image Deblurring. Xiaokun Liu, Long Ma, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo
IEEE ICASSP (CCF-B)
Temporal Rain Decomposition with Spatial Structure Guidance for Video Deraining. Xinwei Xue, Ying Ding, Long Ma, Yi Wang, Risheng Liu, Xin Fan
IEEE ICASSP (CCF-B)
GTA-Net: Gradual Temporal Aggregation Network for Fast Video Deraining. Xinwei Xue, Xiangyu Meng, Long Ma, Risheng Liu, Xin Fan
IEEE ICASSP (CCF-B)
Learning a Deep Multi-scale Feature Ensemble and an Edge-attention Guidance for Image Fusion. Jinyuan Liu, Xin Fan, Ji Jiang, Risheng Liu, Zhongxuan Luo
IEEE TCSVT (CCF-B)
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation. Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo
IEEE TNNLS (CCF-B)
2020
A Bilevel Integrated Model with Data-driven Layer Ensemble for Multi-modality Image Fusion. Risheng Liu, Jinyuan Liu, Zhiying Jiang, Xin Fan, Zhongxuan Luo
IEEE TIP (CCF-A)
A Convergent Framework with Learnable Feasibility for Hadamard-based Image Recovery. Yiyang Wang, Long Ma, Risheng Liu
CVIU (CCF-B)
A Deep Framework Assembling Principled Modules for CS-MRI: Unrolling Perspective, Convergence Behaviors, and Practical Modeling. Risheng Liu, Yuxi Zhang, Shichao Cheng, Zhongxuan Luo, Xin Fan
IEEE TMI (CCF-B)
Location-aware and Regularization-adaptive Correlation Filters for Robust Visual Tracking. Risheng Liu, Qianru Chen, Yuansheng Yao, Xin Fan, Zhongxuan Luo
IEEE TNNLS (CCF-B)
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling. Risheng Liu, Pan Mu, Jian Chen, Xin Fan, Zhongxuan Luo
IEEE TIP (CCF-A)
Learning Hadamard-Product-Propagation for Image Dehazing and Beyond. Risheng Liu, Shiqi Li, Jinyuan Liu, Long Ma, Xin Fan, Zhongxuan Luo
IEEE TCSVT (CCF-B)
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
ICML (CCF-A)
Dual Neural Networks Coupling Data Regression with Explicit Priors for Monocular 3D Face Reconstruction. Xin Fan, Shichao Cheng, Kang Huyan, Minjun Hou, Risheng Liu, Zhongxuan Luo
IEEE TMM (CCF-B)
Bi-level Probabilistic Feature Learning for Deformable Image Registration. Risheng Liu, Zi Li, Yuxi Zhang, Xin Fan, Zhongxuan Luo
IJCAI (CCF-A)
Image Restoration via Data-dependent Proximal Averaged Optimization. Pan Mu, Jian Chen, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo
ICASSP (CCF-B)
Principle-Inspired Multi-Scale Aggregation Network for Extremely Low-Light Image Enhancement. Jiaao Zhang, Risheng Liu, Long Ma, Wei Zhong, Xin Fan, Zhongxuan Luo
ICASSP (CCF-B)
Sequential Deep Unrolling with Flow Priors for Robust Video Deraining. Xinwei Xue, Ying Ding, Pan Mu, Long Ma, Risheng Liu, Xin Fan
ICASSP (CCF-B)
Knowledge-driven Deep Unrolling for Robust Image Layer Separation. Risheng Liu, Zhiying Jiang, Xin Fan, Zhongxuan Luo
IEEE TNNLS (CCF-B)
Flexible Bilevel Image Layer Modeling for Robust Deraining. Jian Chen, Pan Mu, Risheng Liu, Xin Fan, Zhongxuan Luo
ICME (CCF-B)
2019
Semi-supervised Skin Detection by Network with Mutual Guidance. Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang
ICCV (CCF-A)
Learning diffusion on global graph: A PDE-directed approach for feature detection on geometric shapes. Nannan Li, Shengfa Wang, Risheng Liu, Ziqiao Guan, Zhixun Su, Zhongxuan Luo, Hong Qin
CAGD (CCF-B)
Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond. Risheng Liu, Xin Fan, Minjun Hou, Zhiying Jiang, Zhongxuan Luo, Lei Zhang
IEEE TNNLS (CCF-B)
Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement. Risheng Liu, Long Ma, Yiyang Wang, Lei Zhang
IEEE TIP (CCF-A)
Robust Heterogeneous Discriminative Analysis for Face Recognition with Single Sample per Person. Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu
Pattern Recognition (CCF-B)
Blind Image Deblurring via Adaptive Optimization with Flexible Sparse Structure Control. Risheng Liu, Caisheng Mao, Zhihui Wang and Haojie Li
JCST (CCF-B)
Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications. Risheng Liu, Shichao Cheng, Long Ma, Xin Fan, Zhongxuan Luo
IEEE TIP (CCF-A)
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems. Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo
IEEE TPAMI (CCF-A)
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI. Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo
AAAI (CCF-A)
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-convex Optimization. Yiyang Wang, Risheng Liu, Long Ma, Xiaoliang Song
AAAI (CCF-A)
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation. Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, Junsong Yuan
AAAI (CCF-A)
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems. Pengfei Wang, Risheng Liu, Nenggan Zheng, Zhefeng Gong
AAAI (CCF-A)
Compounded Layer-prior Unrolling: A Unified Transmission-based Image Enhancement Framework. Risheng Liu, Minjun Hou, Jinyuan Liu, Xin Fan and Zhongxuan Luo
ICME (CCF-B)
Enhanced Residual Dense Intrinsic Network for Intrinsic Image Decomposition. Risheng Liu, Cheng Yang, Long Ma, Miao Zhang, Xin Fan and Zhongxuan Luo
ICME (CCF-B)
2018
Designing a Stable Feedback Control System for Blind Image Deconvolution. Shichao Cheng, Risheng Liu, Xin Fan, Zhongxuan Luo
Neural Networks (CCF-B)
A Bridging Framework for Model Optimization and Deep Propagation. Risheng Liu, Shichao Cheng, Xiaokun Liu, Long Ma, Xin Fan, Zhongxuan Luo
NIPS (CCF-A)
Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond. Risheng Liu, Yi He, Shichao Cheng, Xin Fan, and Zhongxuan Luo
ACM Multimedia (CCF-A)
Factorization-free On-line Kernel Learning for Unlabeled Chunk Data Streams. Yi Wang, Nan Xue, Xin Fan, Jiebo Luo, Risheng Liu, Bin Chen, Haojie Li, and Zhongxuan Luo
IJCAI (CCF-A)
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization. Risheng Liu, Shichao Cheng, Yi He, Xin Fan, and Zhongxuan Luo
IJCAI (CCF-A)
Proximal Alternating Direction Networks: A Globally Converged Deep Unrolling Framework. Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang and Zhongxuan Luo
AAAI (CCF-A)
Self-reinforced Cascaded Regression for Face Alignment. Xin Fan, Risheng Liu, Kang Huyan and Zhongxuan Luo
AAAI (CCF-A)
Unsupervised Representation Learning with Long-Term Dynamics for Skeleton Based Action Recognition. Nenggan Zheng, Jun Wen, Risheng Liu, Liangqu Long, Jianhua Dai and Zhefeng Gong
AAAI (CCF-A)
Deep Layer Prior Optimization For Single Image Rain Streaks Removal. Risheng Liu, Zhiying Jiang, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo
ICASSP (CCF-B)
Robust Haze Removal via Joint Deep Transmission and Scene Propagation. Risheng Liu, Shiqi Li, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo
ICASSP (Oral) (CCF-B)
Single Image Layer Separation via Deep ADMM Unrolling. Risheng Liu, Zhiying Jiang, Xin Fan, Haojie Li, Zhongxuan Luo
ICME (Oral) (CCF-B)
2017
Adaptive Low-Rank Subspace Learning with Online Optimization for Robust Visual Tracking. Risheng Liu, Di Wang, Yuzhuo Han, Xin Fan,and Zhongxuan Luo
Neural Networks (CCF-B)
Online Low-Rank Representation Learning for Joint Multi-Subspace Recovery and Clustering. Bo Li,Risheng Liu, Junjie Cao, Jie Zhang, Yukun Lai, and Xiuping Liu
IEEE TIP (CCF-A)
Explicit Shape Regression with Characteristic Number for Facial Landmark Localization. Xin Fan, Risheng Liu, Zhongxuan Luo, Yuntao Li, and Yuyao Feng
IEEE TMM (CCF-B)
Deep Location-Specific Tracking. Lingxiao Yang, Risheng Liu, David Zhang, and Lei Zhang
ACM Multimedia (CCF-A)
Deep Hybrid Residual Learning with Statistic Priors for Single Image Super-Resolution. Risheng Liu, Xiangyu Wang, Xin Fan, Haojie Li, and Zhongxuan Luo
ICME (Oral)(CCF-B)
Blind Image Deblurring via Adaptive Dynamical System Learning. Risheng Liu, Shichao Cheng, Xin Fan, Zhongxuan Luo
ICME (Oral)(CCF-B)
Leveraging Geometric Correlation for Input-adaptive Facial Landmark Regression. Yuyao Feng, Risheng Liu, Xin Fan, Kang, Huyan, and Zhongxuan Luo
ICME (CCF-B)
Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. Meng Pang, Yiuming Chueng, Binghui Wang, Risheng Liu
CIKM (CCF-B)
2016
Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis. Risheng Liu, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan, and Zhongxuan Luo
IEEE TPAMI (CCF-A)
Subspace Segmentation by Dense Block and Sparse Representation. Kewei Tang, David B. Dunson, Zhixun Su, Risheng Liu, Jie Zhang and Jiangxin Dong
Neural Networks (CCF-B)
Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization. Yiyang Wang, Risheng Liu, Xiaoliang Song and Zhixun Su
AAAI (CCF-A)
2015 and before
Characteristic Number Regression for Facial Feature Extraction. Yuntao Li, Xin Fan, Risheng Liu, Yuyao Feng, Zhongxuan Luo and Zezhou Li
ICME 2015 (Oral, Best Student Paper Award)(CCF-B)
Matrix Factorization with Column L0-Norm Constraint for Robust Mult-subspace Analysis. Binghui Wang, Risheng Liu, Chuang Lin, Xin Fan
ICDM(W) 2015 (CCF-B)
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. Zhouchen Lin, Risheng Liu, and Huan Li
Machine Learning Journal 2015 (CCF-B)
Learning Markov Random Walks for Robust Subspace Clustering and Estimation. Risheng Liu, Zhouchen Lin, and Zhixun Su
Neural Networks 2014 (CCF-B)
Structure-Constrained Low-Rank Representation. Kewei Tang, Risheng Liu, Zhixun Su and Jie Zhang
IEEE TNNLS 2014 (CCF-B)
Adaptive Partial Differential Equation Learning for Visual Saliency Detection. Risheng Liu, Junjie Cao, Zhouchen Lin and Shiguang Shan
CVPR 2014 (Oral)(CCF-A)
Motion Blur Kernel Estimation via Salient Edges and Low-Rank Prior. Jinshan Pan, Risheng Liu, Zhixun Su and Guili Liu
ICME 2014 (Oral)(CCF-B)
Robust Visual Tracking Using Latent Subspace Projection Pursuit. Wei Jin, Risheng Liu, Zhixun Su, Changcheng Zhang and Shanshan Bai
ICME 2014 (Oral, Best Student Paper Award)(CCF-B)
Incremental Robust Local Dictionary Learning for Visual Tracking. Shanshan Bai, Risheng Liu, Zhixun Su, Changcheng Zhang and Jin Wei
ICME 2014 (CCF-B)