刘日升(软件)
院系：软件学院
办公电话：**
电子信箱：rsliu@dlut.edu.cn
更新时间：2016-1-10
其他专业：生物医学工程



个人简介
2016/01-今：香港理工大学，Research Fellow（香江学者）
2015/12-今：大连理工大学，软件学院数字媒体技术系，副教授（硕士生导师）
2014/10-2015/11：大连理工大学，软件学院数字媒体技术系，讲师（硕士生导师）
2013/09-2014/01：中科院计算所，智能信息处理重点实验室，访问学者
2012/11-2014/09：大连理工大学，电信学部生物医学工程系，讲师（师资博士后、硕士生导师）
2010/09-2012/03：卡内基梅隆大学，计算机科学与技术，联合培养博士
2007/09-2012/09：大连理工大学，计算数学，直接攻读博士
2003/09-2007/06：大连理工大学，信息与计算科学，理学学士

详细信息见个人主页：
http://cggi.dlut.edu.cn/people/~rsliu/index.html


社会兼职
IEEE Member
ACM Member
CCF Member

IJCV, IEEE TPAMI, TIP, TNNLS, TKDE, TCSVT等期刊和CVPR、ICCV、NIPS等会议审稿人

2013年第六届全国几何设计与计算学术会议(GDC 2013), 组织委员会委员, 2013年7月19-22, 大连

研究领域（研究课题）
主持科研项目
6. 2015/01-2016/12 跨媒体数据非线性结构与演化规律的几何表示，中央高校基本科研业务费-前沿探索与学科交叉科研专题
5. 2014/01-2016/12大数据中的广义稀疏几何结构学习方法研究，国家自然科学基金青年项目
4. 2012/12-2014/11复杂多媒体数据的稀疏与低秩建模、计算及应用，中国博士后科学基金第7批特别资助项目
3. 2012/12-2014/11面向大规模数据的增量式低秩结构学习方法研究，中国博士后科学基金第53批面上项目
2. 2014/01-2015/12广义稀疏几何分析方法及其应用研究，浙江大学CAD&CG国家重点实验室开放课题
1. 2013/05-2015/05增量低秩学习及应用，南京大学软件新技术国家重点实验室开放课题


硕博研究方向
深度学习、稀疏编码、低秩学习、PDE学习、优化方法、计算机视觉与多媒体应用
（欢迎具有扎实数学功底和良好编程经验的同学报考，详细招生信息见个人主页：http://cggi.dlut.edu.cn/people/~rsliu/index.html）

媒体报道：
我校第一篇计算机视觉Top 3会议口头报告论文
http://news.dlut.edu.cn/article/2014/0626/53494.shtml

指导学生连续两次获得本领域旗舰会议最佳学生论文奖
http://news.dlut.edu.cn/article/2015/0706/62175.shtml

出版著作和论文
Google Scholar Citations:
http://scholar.google.com/citations?user=DzuhImQAAAAJ&hl=en
DBLP:
http://www.informatik.uni-trier.de/~ley/pers/hd/l/Liu:Risheng

2016年:
[1].Kewei Tang, David B. Dunson, Zhixun Su, Risheng Liu, Jie Zhang and Jiangxin Dong. Subspace Segmentation by Dense Block and Sparse Representation. Neural Networks. (IF=1.927, SCI, B类期刊).
[2].Risheng Liu* and Zhixun Su. Advanced Manifold Learning: Feature Extraction via Vector Bundle Learning. Mathematical Problems in Data Science, Springer, 2016 (Book Chapter)
[3].Yiyang Wang, Risheng Liu*, Xiaoliang Song and Zhixun Su. Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization. AAAI 2016

2015年：
[4].Risheng Liu*, Guangyu Zhong, Junjie Cao and Zhixun Su. Diffuse Visual Attention for Saliency Detection. Journal of Electronic Imaging. (IF=0.85, SCI)
[5].Risheng Liu*, Shanshan Bai, Zhisun Su, Changcheng Zhang and Chunhai Sun. Robust Visual Tracking via L0 Regularized Local Low-Rank Feature Learning. Journal of Electronic Imaging. (IF=0.85, SCI)
[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, C类期刊)
[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, C类期刊)
[8].Guangyu Zhong, Risheng Liu, Junjie Cao and Zhixun Su. A Generalized Nonlocal Mean Framework with Object-Level Cues for Saliency Detection. The Visual Computer. 2015 (IF=1.073, SCI, C类期刊)
[9].Yuntao Li, Xin Fan, Risheng Liu, Yuyao Feng, Zhongxuan Luo and Zezhou Li. Characteristic Number Regression for Facial Feature Extraction. ICME 2015 (Oral, 接受率:15%, EI, B类会议, Best Student Paper Award)
[10].Guangyu Zhong, Risheng Liu*, and Zhixun Su. Robust Visual Tracking via Discriminative Sequential Ranking. ICIP 2015 (EI, C类会议)
[11].Jing Wang, Yiyang Wang, Risheng Liu* and Zhixun Su. Visual Tracking via Orthogonal Sparse Coding. ICIP 2015 (EI, C类会议)
[12].Di Wang, Risheng Liu*, and Zhixun Su. Robust Visual Tracking via Guided Low-Rank Subspace Learning. ICIP 2015 (EI, C类会议)
[13].Difei Gao, Lili Pan, Risheng Liu, Rui Chen, and Mei Xie. Correlated Warped Gaussian Processes for Gender-Specific Age Estimation. ICIP 2015 (EI, C类会议)
[14].Meng Pang, Chuang Lin, Risheng Liu, Xin Fan and Jifeng Jiang. Sparse Concept Discriminant Matrix Factorization for Image Representation. ICIP 2015 (EI, C类会议, Oral, Top 10% paper)

2014年：
[15].Risheng Liu, Junjie Cao, Zhouchen Lin and Shiguang Shan. Adaptive Partial Differential Equation Learning for Visual Saliency Detection. CVPR 2014 (Oral, 接受率: 5.75%, EI, A类会议).
[16].Yiyang Wang, Risheng Liu, Xiaoliang Song and Zhixun Su. Nonlocal L0 Minimization for Saliency Detection, ACCV 2014 (Oral, 接受率：< 4%, EI, C类会议).
[17].Risheng Liu*, Wei Jin, Zhixun Su and Changcheng Zhang. Latent Subspace Projection Pursuit with Online Optimization for Robust Visual Tracking. IEEE Multimedia Magazine (IF = 1.767, SCI)
[18].Risheng Liu*, Zhouchen Lin, and Zhixun Su. Learning Markov Random Walks for Robust Subspace Clustering and Estimation. Neural Networks. (IF=1.927, SCI, B类期刊).
[19].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, B类期刊).
[20].Kewei Tang, Risheng Liu, Zhixun Su and Jie Zhang. Structure Constrained Low-Rank Representation. IEEE Trans. NNLS (IF=3.766, SCI, B类期刊).
[21].Risheng Liu, Zhouchen Lin, Zhixun Su and Junbin Gao. Linear Time Principal Component Pursuit and Its Extensions Using $ell_1$ Filtering. Neurocomputing (IF=1.634, SCI, C类期刊).
[22].Jinshan Pan, Risheng Liu, Zhixun Su and Guili Liu. Motion Blur Kernel Estimation via Salient Edges and Low Rank Prior. ICME 2014 (EI, Oral, B类会议).
[23].Wei Jin, Risheng Liu*, Zhixun Su, Changcheng Zhang and Shanshan Bai. Robust Visual Tracking Using Latent Subspace Projection Pursuit. ICME 2014 (EI, Oral, B类会议， Best Student Paper Award).
[24].Shanshan Bai, Risheng Liu*, Zhixun Su, Changcheng Zhang and Jin Wei. Incremental Robust Local Dictionary Learning for Visual Tracking. ICME 2014 (EI, B类会议).
[25].Risheng Liu*, Maoran Bian, Zhixun Su, Jinshan Pan, and Bo Li. Saliency Detection Using Prior Guided Multi-view Low-rank Modeling. Journal of Information and Computational Science (EI).
[26].Yuxia Song, Junjie Cao, Risheng Liu, Guangyu Zhong, and Zhixun Su. Saliency Detection via Ranking with Reconstruction Error. Journal of Information and Computational Science (EI).

2013年：
[27].Risheng Liu, Zhouchen Lin, and Zhixun Su. Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning. Journal of Machine Learning Research, 2013 (ACML 2013 Long Oral, 接受率: 12%).
[28].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, B类期刊).被推荐为IEEE Computational Intelligence Magazine Publication Spotlight（亮点论文）.
[29].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, C类期刊).
[30].Changcheng Zhang, Risheng Liu*, Tianshuang Qiu, and Zhixun Su.Robust Visual Tracking via Incremental Low-rank Features Learning. Neurocomputing, 2013 (IF=1.634，SCI, C类期刊).
[31].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, C类期刊).
[32].Lili Pan, Risheng Liu and Mei Xie. Mixture of Related Regressions for Head Pose Estimation. ICIP 2013(EI, C类会议).
[33].Jinshan Pan, Zhixun Su, Maoran Bian and Risheng Liu. Saliency Detection Based on an Edge-preserving Filter. ICIP 2013(EI, C类会议).
[34].Kewei Tang, Risheng Liu, and Zhixun Su. Dimensionality Reduction via Low Rank Regression. GDC 2013 (Best Student Paper)

2012年及之前
[35].Risheng Liu, Zhouchen Lin, Fernando De la Torre and Zhixun Su. Fixed-Rank Representation for Unsupervised Visual Learning. CVPR 2012 (EI, A类会议).
[36].Zhouchen Lin, Risheng Liu and Zhixun Su. Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation. NIPS 2011 (EI, B类会议).
[37].Risheng Liu, Zhouchen Lin, Wei Zhang and Zhixun Su. Learning PDEs for Image Restoration via Optimal Control. ECCV 2010 (EI, B类会议).
[38].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，B类期刊).
[39].Risheng Liu, Zhixun Su, Zhouchen Lin and Xiaoyu Hou. Lorentzian Discriminant Projection and Its Applications. ACCV 2009 (EI, C类会议).
[40].Risheng Liu, Ruru Hao and Zhixun Su. Mixture of Manifolds Clustering via Low Rank Embedding. Journal of Information and Computational Science, 2011 (EI).
[41].Hao Ji, Risheng Liu, Fei Su, Zhixun Su and Yan Tian. Robust Head Pose Estimation via Convex Regularized Sparse Regression. ICIP 2011 (C类会议).
[42].Lijun Wang, Risheng Liu and Zhixun Su. Robust Visual Tracking via Incremental Lorentzian Discriminant Projection. Journal of Information and Computational Science, 2012 (EI).
[43].Kewei Tang, Chao Yu, Risheng Liu and Zhixun Su. A Semi-supervised Dimensionality Reduction Framework for Face Recognition Based on Sparse Lorentzian Metric Tensors. Journal of Information and Computational Science, 2011 (EI).
[44].唐科威, 刘日升, 杜慧, 苏志勋. 一种基于张量和洛仑兹几何的降维方法.自动化学报, 2011 (EI).


工作成果（奖励、专利等）
1. ICME 2014最佳学生论文奖 （通讯作者）
2. ICME 2015最佳学生论文奖
3. ICIP 2015最佳10%论文奖
4. 大连理工大学“星海学者”培育工程（“星海骨干”层次）
5. “香江学者”计划


在读学生人数
王翔宇（校优秀本科毕业设计）

毕业学生人数
张长城（辽宁省优秀硕士论文）