Research Interests. I lead The ALGO Lab, where our research focuses on developing simple, elegant, and theoretically sound algorithms to tackle critical challenges in Artificial Intelligence and Big Data processing.Our specific areas of interest include: Graph Algorithms and Graph Machine Learning Designing efficient algorithms to process and learn from massive graph structures.

Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang *, and David Wipf * International Conference on Machine Learning (ICML), 2021. ( Long Talk )

Mar 26, 2023 · People. Oct 24, 2024: CNCC 2024 in Hengdian, Zhejiang Oct 17, 2024: Getting Together Sep 10, 2024: Celebrating Teachers' Day Jun 27, 2023: Master's Graduation Mar 26, 2023: IACC 2023 in Huangpu, Guangzhou Postdoc Researcher

Yanping Zheng, Zhewei Wei *, and Jiajun Liu International Conference on Very Large Data Bases (VLDB), 2023 @article {zheng2023decoupled, title = {Decoupled Graph Neural Networks for Large Dynamic Graphs ...

Introduction Preliminaries Spatial-Universality OptimizationObjective Framework Experiments Summary MGNN: Graph Neural Networks Inspired by Distance Geometry Problem

Zhewei Wei School of Information, Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering, MOE zhewei@ruc.edu.cn Ge Luo y The Hong Kong University of Science and Technology luoge@cse.ust.hk Ke Yi The Hong Kong University of Science and Technology yike@cse.ust.hk Xiaoyong Du z School of Information, Renmin ...

Zhewei Wei ∗ April 28, 2010 ∗Department of Computer Science and Engineering The Hong Kong University of Science & Technology Clear Water Bay, Kowloon, Hong Kong Abstract Hashing based dictionaries are one of the most fundamental data structures in computer science, in both theory and practice.

Matrix Sketching Over Sliding Windows Zhewei Wei1, Xuancheng Liu2, Feifei Li3, Shuo Shang2, Xiaoyong Du1, Ji-Rong Wen1 y 12School of Information, Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering, MOE Beijing Key Laboratory of Big Data Management and Analysis Methods

Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Fellow, IEEE, Ji-Rong Wen, Senior Member, IEEE, and Panos Kalnis Abstract—Travel planning and recommendation are important aspects of transportation. We propose and investigate a novel

Spectral GNNs often involve computationally expensive operations like eigen-decomposition, which limits scalability to large graphs. However, recent advancements have focused on improving efficiency by approximating these operations, making Spectral GNNs applicable to real-world tasks such as node classification, link prediction, and graph clustering.