16 citations · 32 across the 9 of their papers we have counts for
9 papers
AugSplicing: Synchronized Behavior Detection in Streaming Tensors
Jiabao Zhang, Shenghua Liu, Wenting Hou +4
How can we track synchronized behavior in a stream of time-stamped tuples, such as mobile devices installing and uninstalling applications in the lockstep, to boost their ranks in…
Summarizing graphs using the configuration model
Houquan Zhou, Shenghua Liu, Kyuhan Lee +3
Given a large graph, how can we summarize it with fewer nodes and edges while maintaining its key properties, such as spectral property? Although graphs play more and more importan…
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA
Xiangyun Ding, Wenjian Yu, Yuyang Xie +1
A model-based collaborative filtering (CF) approach utilizing fast adaptive randomized singular value decomposition (SVD) is proposed for the matrix completion problem in recommend…
Optimal Algorithm for Profiling Dynamic Arrays with Finite Values
Dingcheng Yang, Wenjian Yu, Junhui Deng +1
How can one quickly answer the most and top popular objects at any time, given a large log stream in a system of billions of users? It is equivalent to find the mode and top-freque…
EagleMine: Vision-Guided Mining in Large Graphs
Wenjie Feng, Shenghua Liu, Christos Faloutsos +3
Given a graph with millions of nodes, what patterns exist in the distributions of node characteristics, and how can we detect them and separate anomalous nodes in a way similar to…
HoloScope: Topology-and-Spike Aware Fraud Detection
Shenghua Liu, Bryan Hooi, Christos Faloutsos
As online fraudsters invest more resources, including purchasing large pools of fake user accounts and dedicated IPs, fraudulent attacks become less obvious and their detection bec…
Single-Pass PCA of Large High-Dimensional Data
Wenjian Yu, Yu Gu, Jian Li +2
Principal component analysis (PCA) is a fundamental dimension reduction tool in statistics and machine learning. For large and high-dimensional data, computing the PCA (i.e., the s…
Marked Temporal Dynamics Modeling based on Recurrent Neural Network
Yongqing Wang, Shenghua Liu, Huawei Shen +1
We are now witnessing the increasing availability of event stream data, i.e., a sequence of events with each event typically being denoted by the time it occurs and its mark inform…
Learning Sentimental Influences from Users' Behaviors
Shenghua Liu, Houdong Zheng, Huawei Shen +2
Modeling interpersonal influence on different sentimental polarities is a fundamental problem in opinion formation and viral marketing. There has not been seen an effective solutio…