Yu Zheng

PhD student at Tsinghua University.


I am currently a final-year PhD student at FIBLAB, Department of Electronic Engineering, Tsinghua University, advised by Prof. Depeng Jin and Prof. Yong Li. I received my bachelor degree from the Department of Electronic Engineering, Tsinghua University in 2019.

My research interests lie in the interdisciplinary area of artificial intelligence and urban science, and its applications to real-world complex systems. Most of my research is about developing innovative computational methods and intelligent decision-making tools to tackle long-standing challenges across offline urban spaces, physical systems and online information systems, including urban planning, network control, and information retrieval.


Sep 22, 2023 Our paper is selected for cover article in the latest issue of Nature Computational Science!:trophy:
Sep 11, 2023 Our paper on automatic urban planning with reinforcement learning is published in Nature Computational Science!:tada:

Selected Publications

  1. NatComputSci
    Spatial planning of urban communities via deep reinforcement learning
    Yu Zheng, Yuming Lin, Liang Zhao, Tinghai Wu, Depeng Jin, and Yong Li
    Nature Computational Science, 2023
  2. KDD
    Road Planning for Slums via Deep Reinforcement Learning
    Yu Zheng*, Hongyuan Su*, Jingtao Ding, Depeng Jin, and Yong Li
    In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
  3. WWW
    Disentangling User Interest and Conformity for Recommendation with Causal Embedding
    Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, and Depeng Jin
    In Proceedings of the Web Conference 2021, 2021