People
Postdoc Researcher
Current PhD Students
Dongxie Wen
文东勰
2023 - Present
- Sketch for ML
- Steaming Algorithms
- Online Learning
Yuzhang Fei
费煜章
2024 - Present
- GNN-Based Algorithmic Reasoning
Wenda Wang
王闻达
2024 - Present
- Graph-based generation of molecules and proteins
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
- Will join the University of Melbourne as Lecturer (Doreen Thomas Fellow)
- 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)
Mingguo He
何明国
2020 - 2025
- Postdoc Researcher of National University of Singapore
- Dissertation: Research on Key Technologies of Graph Convolutional Networks (图卷积网络关键技术研究)
- Awards: National Scholarship
Jiajun Li
李家郡
2021 - 2025
- Postdoc Researcher of Peking University
- Dissertation: Research on Property Estimation Based on Sampling and Sketch (基于采样和摘要的数据性质估计研究)
Yang Zhang
张阳
2021 - 2025
- Researcher of China National Institute of Standardization (CNIS)
- Dissertation: Research for Protein-Ligand Binding Based on Graph Neural Networks (基于图神经网络的蛋白质-配体结合关键算法研究)
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)
Jiahong Ma
马嘉鸿
2022 - 2025
- ByteDance
- Thesis: Scalable Graph Transformer via Polynomial Attention (基于多项式注意力机制的大规模图 Transformer)
Jingyu Chen
陈靖宇
2022 - 2025
- Alimama
- Thesis: Graph Contrastive Learning via Learnable Spectral Polynomial Filters (基于可学习多项式谱滤波器的图对比学习算法研究)
Guanyu Cui
崔冠宇
2022 - 2025
- PhD Student of Gaoling School of Artificial Intelligence, Renmin University of China
- Thesis: Bidirectional Local Estimation for Single-Pair Effective Resistance on Undirected Graphs (无向图上单节点对间有效电阻的双向局部估计算法)