People
Postdoc Researcher
Current PhD Students
Dongxie Wen
文东勰
2023 - Present
- Sketch for ML
- Steaming Algorithms
- Online Learning
Yuwei Hu
胡雨韦
2024 - Present
- LLM for Graph
Yuzhang Fei
费煜章
2024 - Present
- GNN-Based Algorithmic Reasoning
Wenda Wang
王闻达
2024 - Present
- Deep Learning for Bioinformatics
Current Master Students
Jingyu Chen
陈靖宇
2022 - Present
- Graph Self-Supervised Learning
- Spectral GNN
Jiahong Ma
马嘉鸿
2022 - Present
- Spectral GNN
- Graph Transformer
Jiarui Ji
季嘉蕊
2023 - Present
- LLM Multi-Agent
- AI for Social Science
Graduated PhD Students
Yu Liu
刘钰
2014 - 2018 (co-supervised with Jiaheng Lu)
- Lecturer of Beijing Jiaotong University
- Dissertation: Structural-Based Approximate Algorithms for Massive Graphs (基于网络结构的大图近似算法)
- Awards: Former Peking University Boya Postdoc Fellowship (Outstanding Postdoc Researcher), National Scholarship
Hanzhi Wang
王涵之
2019 - 2024
- Postdoc Researcher at BARC (Basic Algorithm Research Copenhagen), University of Copenhagen
- Dissertation: Efficient Random-Walk Probability Computations on Large-Scale Graphs (大图上随机游走概率的高效计算)
- Awards: Baidu Scholarship, Microsoft Research Asia Fellowship, Wu Yuzhang Scholarship, China Computer Federation (CCF) Outstanding Doctoral Dissertation Award
Yanping Zheng
郑艳萍
2020 - 2024
- Postdoc Researcher of Gaoling School of Artificial Intelligence, Renmin University of China
- Dissertation: Research on Key Technologies of Dynamic Graph Neural Network (动态图神经网络关键技术研究)
Graduated Master Students
Suijun Tong
童绥俊
2014 - 2017
- IBM
- Thesis: Single Source SimRank Query in Distributed System (分布式系统中单源 SimRank 算法的研究)
Xiaodong He
何晓东
2015 - 2018
- China Securities Depository and Clearing Corporation Limited
- Thesis: Scalable Computation of Node Proximity on Large Graphs (大图邻近度计算关键技术研究)
Yuan Yin
殷源
2016 - 2019
- ByteDance
- Thesis: Scalable Graph Embeddings via Sparse Transpose Proximities (支持有向图的高效图表示学习算法STRAP)
Chenmiao Yu
于辰淼
2016 - 2019
- Civil Servant
- Thesis: A Research On The Relationship Between Traditional Graph Embedding Methods And Graph Convolutional Neural Networks (传统图嵌入方法与图卷积神经网络关系探究)
Ming Chen
陈明
2018 - 2021
- Central Enterprise
- Thesis: Scalable Graph Neural Networks via Bidirectional Propagation (可扩展的双向传播图神经网络, Outstanding master degree thesis of Renmin University of China)
Weirui Kuang
邝炜瑞
2018 - 2021
- Alibaba Tongyi Lab
- Thesis: Meta-path based Contrastive Multi-View Representation Learning on Heterogeneous Graphs (基于元路径的异构网络多视角对比学习)
Gengmo Zhou
周耕墨
2020 - 2023
- PhD Student of Gaoling School of Artificial Intelligence, Renmin University of China
- Thesis: Uni-Mol: A Universal 3D Molecular Representation Learning Framework (Uni-Mol：通用3D分子表示学习框架)
Fangrui Lyu
吕芳锐
2020 - 2023
- China Development Bank
- Thesis: Research on Intelligent Compression Algorithm Based on Log Data (基于日志数据的智能压缩算法研究)
Ruoqi Zhang
张若琦
2021 - 2024
- Private Equity
- Thesis: A Fine-Grained Execution Optimization Algorithm Based on Deep Reinforcement Learning (基于深度强化学习的细粒度交易执行算法)
Xu Liu
刘旭
2021 - 2024
- State-owned enterprises
- Thesis: Research on Inductive Bias in Stock Price Prediction (股票价格预测的归纳偏置研究)