Kai Chen
Ningbo University(CN)Central South University(CN)Xidian University(CN)Northwestern Polytechnical University(CN)Xiamen University(CN)Chinese Academy of Sciences(CN)Chinese Academy of Sciences(CN)Chinese Academy of Medical Sciences & Peking Union Medical College(CN)Sichuan University(CN)Fudan University(CN)China University of Mining and Technology(CN)Dalian University of Technology(CN)Guangzhou University(CN)Victoria University of Wellington(NZ)Institute of Hydrobiology(CN)Ningbo Kangning Hospital(CN)Fujian Institute of Research on the Structure of Matter(CN)Data Assurance and Communication Security(CN)Shanghai Civil Aviation College(CN)The Dodd-Walls Centre for Photonic and Quantum Technologies(NZ)Shanghai Institute of Computing Technology(CN)Institute of Information Engineering(CN)University of Chinese Academy of Sciences(CN)Jinling Institute of Technology(CN)State Key Laboratory of Structural ChemistryUniversity of International Relations(CN)Northwest Normal University(CN)Xi'an Jiaotong University(CN)University of Science and Technology Beijing(CN)Xinjiang University(CN)Nanjing University of Aeronautics and Astronautics(CN)MacDiarmid Institute for Advanced Materials and Nanotechnology(NZ)
Publications by Year
Research Areas
Advanced Malware Detection Techniques, Adversarial Robustness in Machine Learning, Network Security and Intrusion Detection, Software Testing and Debugging Techniques, Security and Verification in Computing
Most-Cited Works
- → Collaborative filtering and deep learning based recommendation system for cold start items(2016)711 cited
- → Multi-key privacy-preserving deep learning in cloud computing(2017)474 cited
- → QANet: Combining Local Convolution with Global Self-Attention for\n Reading Comprehension(2018)440 cited
- → Privacy-preserving outsourced classification in cloud computing(2017)310 cited
- → Achieving accuracy and scalability simultaneously in detecting application clones on Android markets(2014)297 cited
- → Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis(2018)234 cited