HKU 2023 Summer Workshop on Statistics and Data Analytics

July 5, 2023

Venue: MWT2, G/F, Meng Wah Complex, Main Campus, HKU (Map)

About the Workshop

This workshop is co-organized by the Department of Statistics and Actuarial Science at HKU and the HKU Business School. We aim to bring together a few leading researchers in statistics and data science to discuss interesting researches and improve in-person interactions of the data science community.

Invited Speakers

Songxi ChenPeking University
Jiashun JinCarnegie Mellon University
Regina Y. LiuRutgers University
Annie QuUniversity of California, Irvine
Cunhui ZhangRutgers University
Ji ZhuUniversity of Michigan, Ann Arbor

Programme and Abstracts

Programme and Abstracts (Updated on June 15, 2023)

08:30 - 09:00 Registration
09:00 - 09:10 Opening
09:10 - 10:00Statistical Inference on a Four-Regime Segmented Regression ModelSongxi Chen
10:05 - 10:55A Model-Agnostic Graph Neural Network for Integrating Local and Global InformationAnnie Qu
10:55 - 11:20Coffee Break
11:20 - 12:10The Statistical TriangleJiashun Jin
12:10 - 14:30Lunch Break
14:30 - 15:20Network Community Detection Using Higher-Order StructuresJi Zhu
15:25 - 16:15Optimality of Cp in the Scaled Lasso PathCunhui Zhang
16:15 - 16:40Coffee Break
16:40 - 17:30Prediction with Confidence – General Framework for Predictive InferenceRegina Y. Liu
17:30 - 17:40 Closing
18:30 Banquet (invitation only)


Registration is free, but we still need registration in order to properly arrange the logistics and workshop space. Please register here.

Registration deadline: June 28th, 23:59pm (HKT)

Accommodation and Transportation

Detailed information about accommodation, transportation and some useful links can be found here.

Organizing Committee

Zhanrui CaiHKU Business School
Yuan CaoDepartment of Statistics and Actuarial Science, HKU
Long FengDepartment of Statistics and Actuarial Science, HKU
Guodong LiDepartment of Statistics and Actuarial Science, HKU
Haipeng ShenHKU Business School
Weichen WangHKU Business School
Dan YangHKU Business School

For Enquiry

Please feel free to email enquiries to