Yang, Jiachen

MTD-Net: Learning to Detect Deepfakes Images by Multi-Scale Texture Difference

Yang, J., Li, A., Xiao, S., Lu, W., & Gao, X. (2021) · IEEE Transactions on Information Forensics and Security

Digital Media Forensic DetectionFace recognition and analysis

Cited by 184

Optimization of real-time traffic network assignment based on IoT data using DBN and clustering model in smart city

Yang, J., Han, Y., Wang, Y., Jiang, B., Lv, Z., & Song, H. (2020) · Future Generation Computer Systems

Traffic Prediction and Management TechniquesTransportation Planning and Optimization

Cited by 104

Detecting fake images by identifying potential texture difference

Yang, J., Xiao, S., Li, A., Lan, G., & Wang, H. (2021) · Future Generation Computer Systems

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 86

Entropy-based redundancy analysis and information screening

Li, Y., Yang, J., & Wen, J. (2023) · Digital Communications and Networks

Machine Learning and Data ClassificationAdvanced Neural Network Applications

Cited by 77

Deep learning-based edge caching for multi-cluster heterogeneous networks

Yang, J., Zhang, J., Ma, C., Wang, H., Zhang, J., & Zheng, G. (2020) · Neural Computing and Applications

Caching and Content DeliveryIoT and Edge/Fog Computing

Cited by 16

Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents

Agashe, S., Wong, K., Tu, V., Yang, J., Li, A., & Wang, X. E. (2025) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 14

Agent S: An Open Agentic Framework that Uses Computers Like a Human

Agashe, S., Han, J., Gan, S., Yang, J., Li, A., & Wang, X. E. (2024) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 2