YOULONG WU
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Youlong WU 吴幼龙

Assistant 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

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, in 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 is an Alexander von Humboldt research fellow.

His research interests in Communication Theory, Information Theory and its applications e.g., coded caching, distributed computation, and machine learning.

News

  • 07/2022, Kai Yuan's paper "Coded Wireless Distributed Computing via Interference Alignment" was accepted by IEEE Int. Symp. Information Theory (ISIT)!
  • 06/2022, Haoyu Tu's paper "Efficient Coded Distributed Computing via Joint Cellular and D2D Communications" was accepted by 2022 IEEE International Conference on Communications (ICC)!
  • 08/2021, Shujie Cao's paper "Communication-Efficient Coded Distributed Multi-Task Learning" was accepted by 2021 IEEE Global Communications Conference (Globecom)!
  • 08/2021, Hua Tang's paper "Coded Distributed Computation with Limited Resources" was accepted by 2021 IEEE Global Communications Conference (Globecom)!
  • 05/2021, Kai Liang's paper "Improved Communication Efficiency for Distributed Mean Estimation with Side Information" was accepted by 2021 IEEE International Symposium on Information Theory (ISIT)
  • 03/2021, Shujie Cao's paper "Coding Schemes and Resource Allocations for The Multi-Task Coded Distributed Computation" was accepted by 2021 IEEE International Conference on Communications Workshop(ICC Workshop)
  • Publications

    Journal Papers:

  • S. Ma, H. Sheng, R. Yang, H. Li, Y. Wu, C. Shen, M, Safari, S. Li, Covert Beamforming Design for Integrated Radar Sensing and Communication Systems, IEEE Transactions on Wireless Communications, accepted, 2022.
  • S. Ma, Y. Zhang, H. Li, Jia Shi, L. Yang, Y. Wu, N. Al-Dhahir, and S. Li, Optimal Probabilistic Constellation Shaping for Covert Communications, Transactions on Information Forensics & Security, accepted, 2022.
  • S. Ma, Y. Chen, H. Li, B. Li, Y. Wu, M, Safari, S. Li, N. Al-Dhahir, Optimal Power Allocation for Integrated Visible Light Positioning and Communication System with a Single LEDLamp, IEEE Transactions on Communications, accepted, 2022.
  • Y. Yang, Y. Zhou, Y. Wu, and Y. Shi, Differentially Private Federated Learning via Reconfigurable Intelligent Surface, IEEE Internet of Things Journal, accepted, 2022.
  • H. Tu, K. Yuan, S. Ma and Y. Wu, On Implementation of parallel map and shuffle phases for coded distributed computing, IEEE Communications Letters, vol. 26, no. 2, pp. 282-285, Feb. 2022.
  • Z. Huang, J. Chen, X. You, S. Ma, and Y. Wu. Coded Caching for Broadcast Networks with User Cooperation, Entropy, vol 24, no. 8, pp. 1034, 2022.
  • R. Tang, S. Xie, and Y. Wu. On the achievable rate region of the K-receiver broadcast channels via exhaustive message splitting, Entropy, vol. 23, no. 11, pp. 1408, 2021.
  • B. Hu, K. Wang, Y. Ma, and Y. Wu, On the capacity regions of degraded relay broadcast channels with and without feedback, Entropy, vol. 22, no. 7, pp. 784, 2020.
  • Y. Ma, Y. Wu, and C. Liu, A graph-based author name disambiguation method and analysis via information theory, Entropy, vol. 22, no. 4, pp. 416, 2020.
  • Y. Wu, Achievable rates for discrete memoryless multicast networks with and without feedback, IEEE Trans. on Information Theory, vol. 64, no. 4, pp. 2321-2332, Jan., 2018.
  • Y. Wu and M. Wigger, Coding schemes with rate-limited feedback that improve over the nofeedback capacity for a large class of broadcast channels, IEEE Trans. on Information Theory,vol. 62, no. 4, pp. 2009-2033, April, 2016.
  • Y. Wu, P. Minero, and M. Wigger, Insufficiency of linear-feedback schemes in Gaussian broadcast channels with common message, IEEE Trans. on Information Theory, vol. 60, no. 8, pp. 4553-4566, August, 2014.
  • Y. Wu, H. Luo, M. Ding, J. Zhou, and X. Li, Efficient limited feedback for MIMO-relay systems, IEEE Communication Letters, vol. 15, no. 2, pp.181-183, Feb., 2011.

  • Conference Papers:

  • J. Li, Y. Shi, Y. Wu, Reconfigurable Intelligent Surface Assisted Over-the-Air Computation in Multi-Cell Networks, in 2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) , accepted, 2022.
  • X. Zeng, L. Xing, Y. Wu, and Y. Shi, Beamforming Design for Integrated Sensing and SWIPT System, in 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) , accepted, 2022.
  • K. Yuan, and Y. Wu, Coded Wireless Distributed Computing via Interference Alignment, in IEEE Int. Symp. Information Theory (ISIT), accepted, 2022.
  • H. Tu, Q. Zai, C. Li, and Y. Wu, Efficient Coded Distributed Computing via Joint Cellular and D2D Communications, in 2022 IEEE International Conference on Communications (ICC), accepted, 2022.
  • X. Zeng, S. Xia, K. Yang, Y. Wu, and Y. Shi, Over-the-Air Computation for Vertical Federated Learning, in 2022 IEEE International Conference on Communications workshop (ICC workshop), accepted, 2022.
  • S. Huang, P. Zhang, Y. Mao, L. Liang, Y. Wu, and Y. Shi, Efficient Coded Distributed Computing via Joint Cellular and D2D Communications, in 2022 IEEE International Conference on Communications Workshop, accepted.
  • H. Tang, H. Hu, K. Yuan and Y. Wu, Communication-Efficient Coded Distributed Multi-Task Learning, in IEEE Global Communications Conference (Globecom), 2021, pp. 1-6.
  • S. -J. Cao, L. Yi, H. Chen, and Y. Wu, Coded Distributed Computation with Limited Resources, in IEEE Global Communications Conference (Globecom), 2021, pp. 1-6.
  • K. Liang and Y. Wu, Improved communication efficiency for distributed mean estimation with side information, in IEEE Int. Symp. Information Theory (ISIT), 2021, pp. 3185-3190.
  • L. Yi, S. -J. Cao and Y. Wu, Coding schemes and resource allocations for the multi-task coded distributed computation, in IEEE International Conference on Communications Workshops (ICC Workshops), 2021, pp. 1-6.
  • K. Liang and Y. Wu, Two-layer coded gradient aggregation with straggling communication links, in IEEE Information Theory Workshop (ITW), 2021, pp. 1-5.
  • S. -J. Cao, J. Chen, Y. Wu and K. Wang, Coded caching for relay networks: The impact of caching memories, in IEEE Information Theory Workshop (ITW), 2021, pp. 1-5.
  • H. Chen and Y. Wu, Coded computing for master-aided distributed computing systems, in IEEE Information Theory Workshop (ITW) , 2021, pp. 1-5.
  • Z. Yang, Y. Zhou, Y. Wu, and Y. Shi, Communication-efficient quantized SGD for learning polynomial neural network, IEEE 40th International Performance Computing and Communications Conference (IPCCC) Workshop, 2021
  • X. You, Y. Wu, and J. Chen, Cache-aided broadcast channels with user cooperation, 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA, 2019, pp. 544-551.
  • J. Chen, H. Yin, X. You, Y. Geng, and Y. Wu, Centralized coded caching with user cooperation, in IEEE Information Theory Workshop (ITW), Visby, Sweden, 2019, pp. 1-5.
  • K. Wang, Y. Wu, J. Chen, and H. Yin, Reduce transmission delay for caching-aided two-layer networks, in IEEE Int. Symp. Information Theory (ISIT), Paris, France, 2019, pp. 2019-2023.
  • K. Wang, Y. Wu, and Y. Ma, Capacity region of degraded relay broadcast channel, in IEEE Int. Symp. Information Theory, pp. 1405-1409, July, 2018.
  • Y. Wu, Achievable rate regions for cooperative relay broadcast channels with rate-limited feedback, IEEE Int. Symp. Information Theory, pp. 1660-1664, July, 2016.
  • Y. Wu, Coding schemes for discrete memoryless multicast networks with rate-limited feedback, in IEEE Information Theory Workshop (ITW) 2015 IEEE, pp. 197-201, Oct., 2015.
  • Y. Wu, Coding schemes for discrete memoryless multicast networks with and without feedback, in 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 514-521, Oct., 2015
  • Y. Wu, Coding schemes for the discrete memoryless broadcast channel with feedback, 17th Joint Conference on Communications and Coding (JCCC), March, 2015.
  • Y. Wu and M. Wigger, Coding schemes for the discrete memoryless broadcast channel with rate-limited feedback, in IEEE Int. Symp. Information Theory, pp. 2127-2131, July, 2014.
  • Y. Wu and M. Wigger, Any positive feedback rate increases the capacity of strictly less-noisy broadcast channels, in IEEE Information Theory Workshop (ITW), pp. 579-583, Sept, 2013.
  • Y. Wu , P. Minero, and M. Wigger, Reliability of the Gaussian broadcast channel with common message and feedback, in Signal Processing Advances in Wireless Communications IEEE 14th Workshop on, pp. 210-214, June, 2013. (Invited paper)
  • Research Group

    Current Postgraduate Students


    PhD Students
    • Kai Liang, 2019-present, B.S. Mathematics@ Nanchang University.
    Master Students
    • Rui Tang, 2019-present, B.E. EE@ Xidian University.
    • Kai Yuan, 2019-present, B.E. CS@ Xidian University.
    • Haoyu Tu, 2019-present, B.E. EE@ Xidian University.
    • Haoning Chen, 2020-present, B.E. EE@ Shanghai University.
    • Songjie Xie, 2020-present, B.E. EE@ ShanghaiTech University.
    • Ruihao Guo, 2020-present, B.E. CS@ ShanghaiTech University.
    • Haoyang Hu, 2021-present, B.E. EE@ Chengdian University.
    • Huiru Zhong, 2021-present, B.E. EE@ HUST.
    • Zhenhao Huang, 2021-present, B.E. CS@ Nanchang University.

    Current Undergraduate Students


    • Lihui Yi, 2020-present.
    • Yuhan Wang, 2020-present.
    • Qixuan Zai, 2021-present.
    • Chaoxu Luo, 2021-present.
    • Junfeng Long, 2021-present.
    • Yufei Zhang, 2021-present.

    Alumni


    • Jiahui Chen, (M.S., 2018-2021) is now at SGCC (国家电网).
    • Hua Tang, (M.S., 2018-2021) is now at ByteDance(字节跳动).
    • Ke Wang, (M.S., 2017-2020) is now at Sina (新浪微博).
    • Yingying Ma (M.S., 2017-2020) is now at Alibaba (阿里巴巴).
    • Bingbing Hu (M.S., 2018-2020) is now at Netease (网易).
    • Shujie Cao (B.E., 2019--2021) is pursuing Ph.D. degree at Northwestern University(NU).
    • Xiaowen You (B.E., 2018--2020) is pursuing Ph.D. degree at The Pennsylvania State University (PSU).
    • Haoyu Yin (B.E., 2018--2020) is pursuing Ph.D. degree at Hong Kong Polytechnic University(PolyU).

    Teaching

    @ShanghaiTech

    • Fundamentals of Information Theory (Undergraduate, 2021, 2019, 2018, 2017)
    • Digital Communication (Graduate, Spring 2021, 2019, 2018, 2017)
    • Communication Systems (Undergraduate, 2020, 2019)

    @Technical University of Munich

    • Multi-User Information Theory (Graduate, Spring 2016)