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
Bio
Dr. Weiwei Wu is currently a professor in the School of Computer Science and Engineering, Southeast University, P.R. China. He has published over 60 peer-reviewed papers in international conferences/journals and serves as TPCs and reviewers for several top international journals and conferences. His research interest covers the applications of optimization methods in a wide range of topics, including combinatorial optimization and algorithms, game theory, reinforcement learning, multi-agent systems, swarm system, real-time scheduling.
吳巍炜， 教授、博導，入選國家級青年人才計劃，江蘇省傑出青年基金獲得者，bet356手机版唯一官网計算機科學拔尖基地負責人。2011年分别獲得香港城市大學和中國科技大學博士學位，2011-2012年新加坡南洋理工大學博士後，2012年起加入bet356手机版唯一官网計算機、人工智能、軟件學院。研究方向包括智能無人系統、大數據分析、深度強化學習、物聯網智能感知、多智能體系統、博弈理論等，培養學生用算法與優化方法解決應用問題的能力。主持國家重點研發項目課題、國家自然科學基金面上/青年項目、省部級和企業合作項目十餘項，在相關研究領域國際會議和期刊上發表學術論文80餘篇，發表CCF A+IEEE/ACM Trans. 40餘篇，擔任多個國際著名期刊會議的程序委員會共同主席、委員等。曾先後獲得“ACM新星獎”、微軟亞洲研究院“微軟學者”稱号、中國科學院“院長獎”等。
* 我們希望通過研究智能感知和智能計算方法賦予計算機/機器智能決策能力并優化決策過程，與此相關的理論與應用研究是我們的關注點。
* 我們每周定期舉行一次優化方法研讨會“Weekly seminar on optimizations”，分享計算機科學應用研究中廣泛涉及的算法設計和優化方法，面向全院學生開放，歡迎有興趣的同學參加。
* 我們在吳健雄學院建設有智能無人系統興趣小組。
我們正在招收博士生、碩士生(2024年還有名額)，歡迎有意深造的同學報考，也歡迎有意向參與科研的優秀本科生加入實驗室和無人系統興趣小組。請有意申請者發送簡曆至：weiweiwu at seu dot edu dot cn。請在确認您的意向前先閱讀我們的招生說明>>
Research/Projects (Examples but not limited)
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. This project is coordinated with Prof. Chenchen Fu and Prof. Yan Lyu. See the DEMO>>
2. Multi-robot Cooperation System
Study the multi-robot cooperation and autonomous planning problem. Designed a system named CoUAS which enables easy cooperation of multiple UAVs/robots 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>>
3. Realtime Strategy AI
Study the intelligent decision problem in real-time strategic game scenarios based on machine learning and deep reinforcement learning. E.g., 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>>
4. Big Data Analysis
Study the prediction problem from multi-source data via deep learning and big data analysis. Examples include for instance the crowdness prediction in the metro environment. This project is coordinated with Prof. Yan Lyu. See the DEMO>>
Research Interests
I have wide research interests, including big data, autonomous system, reinforcement learning, swarm intelligence, multi-agent systems, and real-time scheduling. In particular, we hope to enable computing machines to make intelligent decisions and optimize the decision process, which is mainly related to intelligent perception and intelligent computing.
Related to this goal, I am currently interested in the following topics
* Autonomous UAV/robot systems
* Reinforcement learning in sequential decision making
* Intelligent perception from multi-source data
* Deep learning and big data analysis
* Multi-agent coordination and cooperation
* Game theory and incentive mechanism design
* Multi-UAV/Swarm system
* Real-time computing and scheduling
For applications, I am mainly interested in the following topics
* Computer-vision based UAV/Robot planning
* AI-aided networking
* Object detection, tracking, and ReID
* AI-aided gaming and multi-agent competition
* Multi-UAV monitoring in unknown environments
News!
* Our new papers on AoI are accepted in INFOCOM 2023, TMC 2023， CCF A.
* Our new papers on game theory are accepted in TMC 2022, AIJ 2023, CCF A.
* Our one new paper on scheduling is accepted in TCAD 2022, CCF A.
* Our one new paper on freshness data retrieval is accepted in RTSS 2022, CCF A.
* Our one new paper on truthful diffusion mechanisms is accepted in AAAI 2021, CCF A.
(congratulations to Xiang!)
* Our one new paper on proportional representation mechanisms is accepted in IJCAI 2021, CCF A.
(congratulations to Xiang!)
* Our one new paper on link prediction is accepted in CIKM, CCF B.
Academic Positions
Professor, Southeast University, China, 2019-Now.
Associate Professor, Southeast University, China, 2012.11-2019.
Postdoc/Research Fellow, Nanyang Technological University, Singapore, 2011-2012.
Education
Ph.D. in Computer Science, City Univertiy of Hong Kong, Hong Kong, CityU, 2007-2011.
Ph.D. in Computer Science, University of Science and Technology of China, China, USTC, 2006-2011.
B.S. in Computer Science and Engineering, South China University of Technology, SCUT, 2002-2006.
Awards and Honors
* ACM China, “Rising Star”, 2017.
* Microsoft Research Asia, “MSRA Fellowship”, 2010.
* Chinese Academy of Sciences, “Dean's Scholarship”, 2011.
* City University of Hong Kong, Peter-Ho Scholarship, 2008.
Grants (selected)
國家、省部級重點研發、自然基金項目：
面向城市精準管理的新型群智感知技術及應用，國家重點研發項目課題；
不完全信息環境下的衆包質量優化機制研究，國家自然基金面上項目；
群智感知中綠色可信的數據收集調度算法研究，國家自然基金面上項目；
面向智能移動出行的網約車個性化引導式調度算法研究，江蘇省自然科學青年基金；
帶能量供給與變速延遲約束的電壓調整節能調度算法研究，國家自然科學基金青年項目；
面向移動物聯網中數據檢索的優化技術研究，國家自然科學青年基金項目；
面向移動設備在無線供電工業物聯網中的關鍵技術研究，江蘇省自然科學青年基金項目；
企業合作、軍工項目：
多無人機環境快速構建方法，中國XX集團；
基于AI的網絡動态切片方法研究，中興通訊；
無人機智能避障路徑規劃算法研究，之江實驗室課題；
低倍缺陷智能判級算法研究，江蘇南鋼；
道路救援識别算法研究，江蘇億科達；
基于AI的日内交易員策略研究，上海時來；
學術職務
bet356手机版唯一官网無人系統與人工智能聯合研發中心主任
2011協同創新中心骨幹成員