papers
Publications (16)
cs.CV2015
Robust Subspace Clustering via Tighter Rank Approximation
Zhao Kang, Chong Peng, Qiang Cheng
cs.LG2019
Low-rank Kernel Learning for Graph-based Clustering
Zhao Kang, Liangjian Wen, Wenyu Chen +1
cs.LG2017
Twin Learning for Similarity and Clustering: A Unified Kernel Approach
Zhao Kang, Chong Peng, Qiang Cheng
cs.CV2016
A Fast Factorization-based Approach to Robust PCA
Chong Peng, Zhao Kang, Qiang Chen
cs.IR2016
Top-N Recommendation with Novel Rank Approximation
Zhao Kang, Qiang Cheng
cs.LG2019
RES-PCA: A Scalable Approach to Recovering Low-rank Matrices
Chong Peng, Chenglizhao Chen, Zhao Kang +2
cs.LG2019
Nonnegative Matrix Factorization with Local Similarity Learning
Chong Peng, Zhao Kang, Chenglizhao Chen +1
cs.LG2019
Clustering with Similarity Preserving
Zhao Kang, Honghui Xu, Boyu Wang +2
cs.IR2016
Top-N Recommendation on Graphs
Zhao Kang, Chong Peng, Ming Yang +1
stat.ML2018
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification
Zhao Kang, Xiao Lu, Jinfeng Yi +1
cs.IR2016
Top-N Recommender System via Matrix Completion
Zhao Kang, Chong Peng, Qiang Cheng
cs.CV2018
Robust Graph Learning from Noisy Data
Zhao Kang, Haiqi Pan, Steven C. H. Hoi +1
cs.LG2017
Unified Spectral Clustering with Optimal Graph
Zhao Kang, Chong Peng, Qiang Cheng +1
cs.LG2019
Similarity Learning via Kernel Preserving Embedding
Zhao Kang, Yiwei Lu, Yuanzhang Su +2
physics.ins-det2013
High-resolution gamma-ray spectroscopy with a microwave-multiplexed transition-edge sensor array
Omid Noroozian, John A. B. Mates, Douglas A. Bennett +10
cs.CV2015
LogDet Rank Minimization with Application to Subspace Clustering
Zhao Kang, Chong Peng, Jie Cheng +1