Dr. Weiwei Wu
Professor
School of Computer Science and Engineering, Southeast University
Room 216, Building of Computer Science
Tel: 86-025-52091021 Email：weiweiwu at seu dot edu dot cn
Research/Projects
Some exemplary research/projects we had been carrying out (but not limited to).
1. Autonomous Robot/Vehicles
Study the self-driving, autonomous tracking, and searching problem on a real-implemented robots, autonomous cars or UAVs, which is highly related to CV, deep learning, reinforcement learning and autonomous system.
2. LLM/VLA based intelligent decision
Study the research porblems arised in LLM-based autonomous agents/robots, which leverages the potential of large language model (LLMs)/Vision-languarage-action models (VLAs) in human-level intelligence. Several types of automonous agents/robots are concerned.
3. CoUAS System
Study the multi-UAV cooperation problem. Designed a system named CoUAS which enables easy cooperation of multiple UAVs in various applications for the community. Open-sourced in Github. This project is coordinated with Prof. Chenchen Fu and Prof. Feng Shan. See the DEMO>>
4. Realtime Strategy AI
Study the intelligent decision problem in real-time strategic game scenarios based on machine learning and reinforcement learning. Tested in uRTS where multiple units are controlled to compete against the opponent AI. This project is coordinated with Prof. Wanyuan Wang and Prof. Yan Lyu. See the DEMO>>
5. Crowd Predictor
Study the prediction problem from multi-source data via deep learning and data fusion. Examples include for instance the crowdness prediction in the metro environment. This project is coordinated with Prof. Yan Lyu. See the DEMO>>
6. Relational DRL
Study the relation reasoning problem in Neural Networks which is somehow related with attentions. Tested in the box-world environment where the agent needs to reason about how to make the sequential decision based on inferring the relations. This project is coordinated with Prof. Wanyuan Wang. See the DEMO>>
7. DRL based Routing
Study the decision problem in large-scale networks where packets need to be routed to destination based on the conjunction of operational research and reinforcement learning. This is a project cooperated with ZTE ltd.
