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Zijie Geng

Master Student


zijiegeng@miralab.ai

Interests

  • Learning to Optimize
  • AI4Science
  • Graph Generation
  • Reinforcement Learning

Education

  • B.S., Applied Mathematics, School of the Gifted Young, 2022

    University of Science and Technology of China

About me

I am currently a master student in USTC. My advisor is Prof. Jie Wang, who leads the MIRA Lab. My research interests include learning to optimize, AI4Science, graph generation, and reinforcement learning.

Awards

  • MSRA Stars of Tomorrow, 2022
  • S.-T. Yau College Student Mathematics Contest (Analysis and Partial Differential Equations), Outstanding Prize, 2021
  • The Chinese Mathematics Competitions (CMC), First Price in Anhui Province, 2020
  • S.-T. Yau College Student Mathematics Contest (Applied and Computational Mathematics), Outstanding Prize, 2020

Experience

  • Intern at Noah’s Ark Lab, Huawei Technologies, 2023/08 -
  • Intern at MSRA, 02/2022 - 12/2022
  • Nanjing Truezir Software Technology Co., Ltd., Stockholder & Supervisor, 11/2020 - Present
  • Zhejiang Yingyang Asset Management Co., Ltd., Quantitative Analyst, 10/2020 - 04/2021

Publications

Hong Wang, Zhongkai Hao, Jie Wang, Zijie Geng, Zhen Wang, Bin Li, Feng Wu. Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling (Spotlight). ICLR 2024.

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Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu. A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability (Spotlight). NeurIPS 2023.

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Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu. De Novo Molecular Generation via Connection-aware Motif Mining. ICLR 2023.

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Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu. Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions. KDD 2022.

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