activity
20132020
most citedMarkov random walk under constraint for discovering overlapping communities in complex networks

51 citations · 120 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2020★ 4 cited

Curvature Regularization to Prevent Distortion in Graph Embedding

Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang +2

Recent research on graph embedding has achieved success in various applications. Most graph embedding methods preserve the proximity in a graph into a manifold in an embedding spac…

cs.LG2019★ 4 cited

Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks

Chunxu Zhang, Jiaxu Cui, Bo Yang

In recent years, deep learning has achieved remarkable achievements in many fields, including computer vision, natural language processing, speech recognition and others. Adequate…

cs.LG2019★ 5 cited

Deep Neural Architecture Search with Deep Graph Bayesian Optimization

Lizheng Ma, Jiaxu Cui, Bo Yang

Bayesian optimization (BO) is an effective method of finding the global optima of black-box functions. Recently BO has been applied to neural architecture search and shows better p…

cs.CY2017★ 13 cited

Understanding the Spatial and Temporal Activity Patterns of Subway Mobility Flows

Zhanwei Du, Bo Yang, Jiming Liu

In urban transportation systems, mobility flows in the subway system reflect the spatial and temporal dynamics of working days. To investigate the variability of mobility flows, we…

cs.DC2015★ 2 cited

Randomization Improving Online Time-Sensitive Revenue Maximization for Green Data Centers

Huangxin Wang, Jean X. Zhang, Bo Yang +1

Green data centers have become more and more popular recently due to their sustainability. The resource management module within a green data center, which is in charge of dispatch…

cs.SI2013★ 9 cited

Fast Complex Network Clustering Algorithm Using Agents

Di Jin, Dayou Liu, Bo Yang +1

Recently, the sizes of networks are always very huge, and they take on distributed nature. Aiming at this kind of network clustering problem, in the sight of local view, this paper…