activity
20192021
most citedHAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks

8 citations · 11 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR20218 cited

HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks

Yiming Hei, Renyu Yang, Hao Peng +6

Android is undergoing unprecedented malicious threats daily, but the existing methods for malware detection often fail to cope with evolving camouflage in malware. To address this…

cs.SI2021

Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks

Hao Peng, Jianxin Li, Yangqiu Song +4

Events are happening in real-world and real-time, which can be planned and organized for occasions, such as social gatherings, festival celebrations, influential meetings or sports…

cs.LG2021

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Hao Peng, Ruitong Zhang, Yingtong Dou +3

Graph Neural Networks (GNNs) have been widely used for the representation learning of various structured graph data. While promising, most existing GNNs oversimplified the complexi…

cs.LG20203 cited

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market

Hao Peng, Jianxin Li, Zheng Wang +5

We present Luce, the first life-long predictive model for automated property valuation. Luce addresses two critical issues of property valuation: the lack of recent sold prices and…

cs.DC2019

Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey

Bin Qian, Jie Su, Zhenyu Wen +11

Machine Learning (ML) and Internet of Things (IoT) are complementary advances: ML techniques unlock complete potentials of IoT with intelligence, and IoT applications increasingly…