[PHOTO]           Youlong WU 吴幼龙

Associate Professor,
School of Information Science and Technology,
ShanghaiTech University

Office: Room 302D, SIST Building 2
Middle Huaxia Road 393, Pudong New Area, Shanghai, China
上海市浦东新区华夏中路393号信息学院2号楼302D
Email: wuyl1@@shanghaitech.edu.cn
Tel: +86-21-2068 5369

Bio

Youlong Wu obtained his B.S. degree in electrical engineering from Wuhan University, Wuhan, China, in 2007. He received the M.S. degree in electrical engineering from Shanghai Jiaotong University, Shanghai, China, in 2011. In 2014, he received the Ph.D. degree at Telecom ParisTech, Paris, France. In December 2014, he worked as a postdoc at the Institute for Communication Engineering, Technical University Munich (TUM), Munich, Germany. In 2017, he joined the School of Information Science and Technology at ShanghaiTech University. He obtained the TUM Fellowship in 2014 and was selected for the Shanghai Pujiang Talent Program in 2018. He is an Alexander von Humboldt research fellow. His research interests include Information Theory and its applications, e.g., coded caching/computing, task-oriented communications, and machine learning.

Awards

  • Humboldt Research Fellow (2017)
  • Shanghai Pujiang Talent (2018)

    • Openings

    Prospective students and PostDocs from electrical engineering or computation science.
    Requirments: Solid mathematical skills on probability and stochastic processes, matrix theory, and to some extent also optimization.

    News

  • 1/2025, Our paper " Coded Distributed Computing with Pre-set Data Placement and Output Functions Assignment" was accepted by IEEE Transactions on Information Theory.
  • 1/2025, Our paper " Task-Oriented Lossy Compression With Data, Perception, and Classification Constraints," was accepted by IEEE Journal on Selected Areas in Communications.
  • 12/2024, Our paper "Privacy-Preserving Coded Schemes for Multi-Server Federated Learning with Straggling Links" was accepted by IEEE Transactions on Information Forensics & Security.
  • 12/2024, Our paper "Structured IB: Improving Information Bottleneck with Structured Feature Learning" was accepted by AAAI 2025.
  • 12/2024, Our book "Machine Learning for Low-Latency Communications" was published in ELSEVIER with ISBN: 9780443220739.
  • 08/2024, Our paper "Coded Computing for Half-Duplex Wireless Distributed Computing Systems via Interference Alignment," was accepted by IEEE Transactions on Wireless Communications.
  • 08/2024, Our paper "Coded Computing for Multi-cluster Distributed Computations," was accepted by IEEE Transactions on Communications.
  • 08/2024, Our paper " Asymptotically Optimal Coded Distributed Computing via Combinatorial Designs," was published by IEEE/ACM Transactions on Networking.
  • 07/2024, Our paper "Towards Effective and Interpretable Semantic Communications,", was accepted by IEEE Network Magazine.
  • 06/2024, Haoyang Hu and Huiru Zhong completed their Master's degrees.
  • 03/2024, Haoyang Hu accepted the Ph.D. offer from Georgia Institute of Technology.
  • 08/2023, Songjie Xie's paper "Robust Information Bottleneck for Task-oriented Communication with Digital Modulation,", was published by IEEE Journal on Selected Areas in Communications.
  • 03/2024, Haoyang Hu's paper "On Exploiting Network Topology for Hierarchical Coded Multi-task Learning", was accepted by IEEE Transactions on Communications.
  • 04/2023, Haoyang Hu's paper " Communication-Efficient Coded Computing for Distributed Multi-task Learning", was accepted by IEEE Transactions on Communications.
  • 03/2023, Songjie Xie's paper " Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data,", was accepted by IEEE International Conference on Data Engineering (ICDE 2023).
  • 02/2023, Haoning Chen's paper "On the Optimality of Data Exchange for Master-Aided Edge Computing Systems", was accepted by IEEE Transactions on Communications.