Recent Papers

This page contains all my papers in the last three years.

KDD 2025

FedAPM: Federated Learning via ADMM with Partial Model Personalization

Shengkun Zhu, Feiteng Nie, Jinshan Zeng, Sheng Wang, Yuan Sun, Yuan Yao, Shangfeng Chen, Quanqing Xu, Chuanhui Yang

ICDE 2025

Joinable Search over Multi-source Spatial Datasets: Overlap, Coverage, and Efficiency

Wenzhe Yang, Sheng Wang, Yuan Sun, Zhiyu Chen, Zhiyong Peng

Approximate Vector Set Search: A Bio-Inspired Approach for High-Dimensional Spaces

Yiqi Li, Sheng Wang, Zhiyu Chen, Shangfeng Chen, Zhiyong Peng

On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-means

Yushuai Ji, Zepeng Liu, Sheng Wang, Yuan Sun, Zhiyong Peng

SIGMOD 2024

F3KM: Federated, Fair, and Fast k-means

Shengkun Zhu, Quanqing Xu, Jingshan Zeng, Sheng Wang, Yuan Sun, Zhifeng Yang, Chuanhui Yang, Zhiyong Peng

SIGMOD 2023

Prerequisite-driven Fair Clustering on Heterogeneous Information Networks

Juntao Zhang, Sheng Wang, Yuan Sun, Zhiyong Peng

PVLDB 2022

Fast Dataset Search with Earth Mover's Distance

Wenzhe Yang, Sheng Wang, Yuan Sun, Zhiyong Peng

ICDE 2022

A Resource-Aware Deep Cost Model for Big Data Query Processing

Yan Li, Liwei Wang, Sheng Wang, Yuan Sun, Zhiyong Peng

SIGMOD 2021

Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand

Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao.

ACM Computing Surveys

A Survey on Trajectory Data Management, Analytics, and Learning

Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong

VLDB 2021

On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection

Sheng Wang, Yuan Sun, Zhifeng Bao

VLDB 2020

Fast Large-Scale Trajectory Clustering

Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Xiaolin Qin

Last edited on May 26^th 2025 08:15AM (Time Zone: CST).
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