Area of research
Computer Vision and Pattern Recognition · Computer Networks and Communications
Research interest
Research interests include Computer science, Cloud computing, Convolutional neural network, Distributed computing, Robustness (evolution), and FLOPS.
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
Dependent Application Offloading in Edge Computing
Adaptive partitioning and efficient scheduling for distributed DNN training in heterogeneous IoT environment
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services
Localized Knowledge Distillation Helps IoT Devices Provide High-performance Visual Services
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device
TFormer: A Transmission-Friendly ViT Model for IoT Devices