Publications (27)
Efficient Processing of Very Large Graphs in a Small Cluster
Da Yan, Yuzhen Huang, James Cheng +1
Truss Decomposition in Massive Networks
Jia Wang, James Cheng
Pyramid: A General Framework for Distributed Similarity Search
Shiyuan Deng, Xiao Yan, Kelvin K. W. Ng +2
Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations
Fanhua Shang, Yuanyuan Liu, Hanghang Tong +2
ASVRG: Accelerated Proximal SVRG
Fanhua Shang, Licheng Jiao, Kaiwen Zhou +3
A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates
Kaiwen Zhou, Fanhua Shang, James Cheng
Lightweight Fault Tolerance in Large-Scale Distributed Graph Processing
Da Yan, James Cheng, Fan Yang
Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning
Fanhua Shang, James Cheng, Hong Cheng
Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation
Da Yan, James Cheng, Yi Lu +1
Accelerated Variance Reduced Stochastic ADMM
Yuanyuan Liu, Fanhua Shang, James Cheng
G-thinker: Big Graph Mining Made Easier and Faster
Da Yan, Hongzhi Chen, James Cheng +3
Guaranteed Sufficient Decrease for Variance Reduced Stochastic Gradient Descent
Fanhua Shang, Yuanyuan Liu, James Cheng +2
Temporal Graph Traversals: Definitions, Algorithms, and Applications
Silu Huang, James Cheng, Huanhuan Wu
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization
Fanhua Shang, Yuanyuan Liu, James Cheng
Scalable De Novo Genome Assembly Using Pregel
Da Yan, Hongzhi Chen, James Cheng +2
IS-LABEL: an Independent-Set based Labeling Scheme for Point-to-Point Distance Querying on Large Graphs
Ada Wai-Chee Fu, Huanhuan Wu, James Cheng +2
K-Reach: Who is in Your Small World
James Cheng, Zechao Shang, Hong Cheng +2
VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning
Fanhua Shang, Kaiwen Zhou, Hongying Liu +5
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications
Fanhua Shang, James Cheng, Yuanyuan Liu +2
Norm-Range Partition: A Universal Catalyst for LSH based Maximum Inner Product Search (MIPS)
Xiao Yan, Xinyan Dai, Jie Liu +2
Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media
Linhong Zhu, Aram Galstyan, James Cheng +1
Efficient Processing of Reachability and Time-Based Path Queries in a Temporal Graph
Huanhuan Wu, Yuzhen Huang, James Cheng +2
Norm-Ranging LSH for Maximum Inner Product Search
Xiao Yan, Jinfeng Li, Xinyan Dai +2
Unified Scalable Equivalent Formulations for Schatten Quasi-Norms
Fanhua Shang, Yuanyuan Liu, James Cheng
Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs
Da Yan, James Cheng, M. Tamer Ãzsu +5
Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning
Fanhua Shang, Yuanyuan Liu, James Cheng +1
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization
Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou +3