Machine Learning and Optimization

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

Risheng Liu, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan, and Zhongxuan Luo. Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis. IEEE TPAMI, 2016

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, 2014

Yue Deng, Qionghai Dai, Risheng Liu, Zengke Zhang and Sanqing Hu. Low-Rank Structure Learning via Non-Convex Heuristic Recovery. IEEE TNNLS, 2013

Computer Vision and Multmedia

Risheng Liu, Junjie Cao, Zhouchen Lin and Shiguang Shan. Adaptive Partial Differential Equation Learning for Visual Saliency Detection. CVPR 2014

Yuntao Li, Xin Fan, Risheng Liu, Yuyao Feng, Zhongxuan Luo and Zezhou Li. Characteristic Number Regression for Facial Feature Extraction. ICME 2015 (Best Student Paper Award)

Risheng Liu, Zhouchen Lin, Fernando De la Torre and Zhixun Su. Fixed-Rank Representation for Unsupervised Visual Learning. CVPR 2012

Wei Jin, Risheng Liu, Zhixun Su, Changcheng Zhang and Shanshan Bai. Robust Visual Tracking Using Latent Subspace Projection Pursuit. ICME 2014 (Best Student Paper Award)