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Yuliang Wang

I am a fifth-year Ph.D. student in School of Mathematical Sciences and Institute of Natural Sciences at Shanghai Jiao Tong University, advised by Professor Lei Li. Previously, I obtained my B.S. in Mathematics and Applied Mathematics from Zhiyuan Honors College at Shanghai Jiao Tong University in 2020.

Contact

Office: 372 Science Building No. 6, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, P.R.China.

Email: yuliangwang_math AT sjtu DOT edu DOT cn

Research interest

My research interest lies in applied math, including stochastic algorithms (for sampling, machine learning and particle systems etc), minmax optimization, diffusion models, sequential Monte Carlo, etc.

Publications

(in alphabetical order)

  1. Error estimates of the Euler's method for stochastic differential equations with multiplicative noise via relative entropy
    Lei Li, Mengchao Wang, Yuliang Wang
    arxiv preprint | https://arxiv.org/abs/2409.04991

  2. Guidance for twisted particle filter: a continuous-time perspective
    Jianfeng Lu, Yuliang Wang
    arxiv preprint | https://arxiv.org/abs/2409.02399

  3. Convergence of Random Batch Method with replacement for interacting particle systems
    Zhenhao Cai, Jian-Guo Liu, Yuliang Wang
    arxiv preprint | https://arxiv.org/abs/2407.19315

  4. Propagation of chaos in path spaces via information theory
    Lei Li, Yuelin Wang, Yuliang Wang
    arxiv preprint | https://arxiv.org/abs/2312.00339

  5. Geometric ergodicity of SGLD via reflection coupling
    Lei Li, Jian-Guo Liu, Yuliang Wang
    arxiv preprint | https://arxiv.org/abs/2301.06769

  6. A sharp uniform-in-time error estimate for Stochastic Gradient Langevin Dynamics
    Lei Li, Yuliang Wang
    arxiv preprint | https://arxiv.org/abs/2207.09304

  7. On uniform-in-time diffusion approximation for stochastic gradient descent
    Lei Li, Yuliang Wang
    arxiv preprint | https://arxiv.org/abs/2207.04922

  8. Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization
    Yuchen Guo, Nicholas Hanoian, Zhexiao Lin, Nicholas Liskij, Hanbaek Lyu, Deanna Needell, Jiahao Qu, Henry Sojico, Yuliang Wang, Zhe Xiong, Zhenhong Zou
    arxiv preprint | https://arxiv.org/abs/1912.00315

Education and experience

2020.9-present. Math. Ph.D. candidate. Shanghai Jiao Tong Univeristy. (advised by Prof. Lei Li)

2024.3-present. Visit scholar. Duke University. (advised by Prof. Jianfeng Lu)

2016.9-2020.6. Math and applied math (Zhiyuan Honors Program). B.S. Shanghai Jiao Tong Univeristy.(thesis advised by Prof. Lei Li)

2019.6-2020.1. Visit scholar. University of California, Los Angeles. (advised by Prof. Deanna Needell and Prof. Hanbaek Lyu)

2018.6-2018.7. Exchange. Hertford College, Oxford University.

Talks

Past talks:

  1. On the ergodicity and sharp error estimate of Stochastic Gradient Langevin Dynamics
    2022.12 | AMPHD seminar , Fudan University, Shanghai

  2. Ergodicity and sharp error estimate of Stochastic Gradient Langevin Dynamics
    2023.8 | ICIAM2023, Tokyo

Teaching

Malliavin calculus, Yuliang Wang, Shanghai Jiao Tong University, Spring 2022 - Fall 2023 (lecturer).

Artificial intelligence and partial differential equations, Lei Li, Harbin, Summer 2023 (TA).

MA378, Optimization, Lei Li, Shanghai Jiao Tong University, Fall 2023 (TA).

MA1208, Calculus, Gang Zhou, Shanghai Jiao Tong University, Fall 2022 (TA).

MA378, Optimization, Lei Li, Shanghai Jiao Tong University, Fall 2021 (TA).

MA1608H, Mathematical analysis, Kaizhi Wang, Shanghai Jiao Tong University, Fall 2020 (TA).