SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization. - Tsz Nam Chan; Pak Lon Ip; Leong Hou U; Byron Choi; Jianliang Xu (Proc. VLDB Endow., 2021)

SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization. - Tsz Nam Chan; Pak Lon Ip; Leong Hou U; Byron Choi; Jianliang Xu (Proc. VLDB Endow., 2021)

KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis. - Tsz Nam Chan; Pak Lon Ip; Leong Hou U; Weng Hou Tong; Shivansh Mittal; Ye Li 002; Reynold Cheng (Proc. VLDB Endow., 2021)

LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics. - Tsz Nam Chan; Pak Lon Ip; Kaiyan Zhao; Leong Hou U; Byron Choi; Jianliang Xu (Proc. VLDB Endow., 2022)

PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems. - Tsz Nam Chan; Rui Zang; Pak Lon Ip; Leong Hou U; Jianliang Xu (SIGMOD Conference Companion, 2023)

HFGNN: Efficient Graph Neural Networks Using Hub-Fringe Structures. - Pak Lon Ip; Shenghui Zhang; Xuekai Wei; Tsz Nam Chan; Leong Hou U (ICDM, 2024)

Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification. - Zijie Zhou; Zhaoqi Lu; Xuekai Wei; Rongqin Chen 001; Shenghui Zhang; Pak Lon Ip; Leong Hou U (AAAI, 2025)