210 citations · 1.2k across the 48 of their papers we have counts for
3 papers · 1 filter
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine
Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1
Recent studies showed that single-machine graph processing systems can be as highly competitive as cluster-based approaches on large-scale problems. While several out-of-core graph…
Privacy-preserving Stochastic Gradual Learning
Bo Han, Ivor W. Tsang, Xiaokui Xiao +3
It is challenging for stochastic optimizations to handle large-scale sensitive data safely. Recently, Duchi et al. proposed private sampling strategy to solve privacy leakage in st…
Millionaire: A Hint-guided Approach for Crowdsourcing
Bo Han, Quanming Yao, Yuangang Pan +4
Modern machine learning is migrating to the era of complex models, which requires a plethora of well-annotated data. While crowdsourcing is a promising tool to achieve this goal, e…