Nuowen Kan (阚诺文)
Ph.D. candidate
in Department of Computer Science and Engineering
Shanghai Jiao Tong University (SJTU), China.
I’m also a member of Media, Information and Network group.
Previouly: I received the B.S. degree in Information Engineering from Nanjing University of Aeronautics and Astronautics, China, in 2017, and the M.S. degree in Electronics and Communications Engineering from SJTU, China, in 2020.
Research Interest
- AI for multimedia and network flow optimization
- Deep reinforcement learning and Graph neural network
- Task oriented image/video processing and communication
News
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[Oct. 2023] Our paper titled “Successor Feature-Based Transfer Reinforcement Learning for Video Rate Adaptation with Heterogeneous QoE Preferences” was accepted by IEEE Transactions on Multimedia (TMM), 2023!
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[Sep. 2023] Our paper titled “Doubly Robust Augmented Transfer for Meta-Reinforcement Learning” was accepted by NeurIPS 2023!
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[Oct. 2022] Our paper titled “Improving Generalization for Neural Adaptive Video Streaming via Meta Reinforcement Learning” was honored with the Top Paper Award by ACM Multimedia 2022!
Honors and Awards
- Huawei Scholarship, 2022.
- SMICS MengNing Scholarship, 2019.
- National Encourage Scholarship, 2016.
- FPGA Application System Design Invitational Competition-First Prize, Jiangsu, 2015.
Services
Reviewer for
- Journals: IEEE JSAC, IEEE TMM, IEEE TCSVT, IEEE TMC
- Conferences: ACM Multimedia 2022, 2023, IEEE ICC 2023, 2024, IEEE WCNC 2023.
Contact
- Email: kannw_1230 [at] sjtu [dot] edu [dot] cn
- Google Scholar
- Github
- Linkin
Shanghai Jiao Tong University (SJTU)
800 Dongchuan Road, Minhang District
Shanghai, 200240
P.R. China
LAB
Institute of Media, Information and Network