Lijun Zhang  (张利军)

I am a Professor of the School of Artificial Intelligence, Nanjing University.
I am also a member of the LAMDA group. 
  Email:  zljzju at gmail.com    zlj at nju.edu.cn
  Mail:   Nanjing University, Xianlin Campus Mailbox 603
          163 Xianlin Avenue, Qixia District 
          Nanjing 210023, China
  Office: Room 310, Computer Science Building, Xianlin Campus
  Phone:  +86-25-89680949

CV | Publications by Year ¦ by Topic | Google Scholar | Courses | Talks | Students

Research Interests

Working Experiences

Education Experiences

Selected Papers (Publications by Year)

  1. Stochastic Approximation Approaches to Group Distributionally Robust Optimization [PDF, Bibtex, arXiv]
    L. Zhang, P. Zhao, Z.-H. Zhuang, T. Yang, and Z.-H. Zhou
    In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), pages 52490 - 52522, 2023.

  2. Revisiting Smoothed Online Learning [PDF, Supplementary, Bibtex, arXiv]
    L. Zhang, W. Jiang, S. Lu, and T. Yang
    In Advances in Neural Information Processing Systems 34 (NeurIPS 2021), pages 13599 - 13612, 2021.

  3. Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the O(1/T) Convergence Rate [PDF, Bibtex]
    L. Zhang, and Z.-H. Zhou
    In Proceedings of the 32nd Annual Conference on Learning Theory (COLT 2019), pages 3160 - 3179, 2019.

  4. Empirical Risk Minimization for Stochastic Convex Optimization: O(1/n)- and O(1/n^2)-type of Risk Bounds [PDF, Bibtex]
    L. Zhang, T. Yang, and R. Jin
    In Proceedings of the 30th Annual Conference on Learning Theory (COLT 2017), pages 1954 - 1979, 2017.

  5. Efficient Algorithms for Robust One-bit Compressive Sensing [PDF, Supplementary, Bibtex]
    L. Zhang, J. Yi, and R. Jin
    In Proceedings of the 31st International Conference on Machine Learning (ICML 2014), 2014.

  6. Linear Convergence with Condition Number Independent Access of Full Gradients [PDF, Bibtex]
    L. Zhang, M. Mahdavi, and R. Jin
    In Advances in Neural Information Processing Systems 26 (NIPS 2013), pages 980 - 988, 2013.

  7. Recovering the Optimal Solution by Dual Random Projection [PDF, Bibtex]
    L. Zhang, M. Mahdavi, R. Jin, T. Yang, and S. Zhu
    In Proceedings of the 26th Conference on Learning Theory (COLT 2013), pages 135 - 157, 2013.

Honors and Awards

Last modified: Sep. 2, 2024