Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Hsinchun Chen
Also published under:H. Chen, Hsinchsun Chen, HsinChun Chen
Affiliation
Department of Management Information Systems, University of Arizona, Tucson, USA
Topic
Deep Learning,Threat Model,Adversarial Attacks,Attack Methods,Neural Network,Ransomware,Additional Activities,Adversarial Examples,Convolutional Neural Network,Generative Adversarial Networks,Long Short-term Memory,Adversarial Robustness,Benchmark Methods,Bidirectional Long Short-term Memory,Deep Reinforcement Learning,F1 Score,Feed-forward Network,Language Model,Machine Learning,Malware,Natural Language Processing Tasks,Personal Details,Recurrent Neural Network,Reinforcement Learning Agent,Robust Detection,Sequence Dependence,Social Media,Source Code,Source Domain,Target Domain,Tokenized,Transformer,Word Embedding,API Calls,Ablation Analysis,Action-value Function,Actor Network,Additional Modifications,Advances In This Area,Aftereffects,Alternative Mechanisms,Application Programming Interface,Attack Vector,Attention Layer,Attention Mechanism,Average Precision,BERT Model,Benchmark,Betweenness,Bidirectional Encoder Representations,
Biography
Hsinchun Chen is McClelland Professor of Management Information Systems at the University of Arizona and director of the Artificial Intelligence Lab. Contact him at [email protected].