Jia Li
I moved to this site Prof. Jia Li.
I received Ph.D. degree in Department of Systems Engineering and Engineering Management at The Chinese University of Hong Kong in 2021, under the supervision of Prof. Hong Cheng. I worked as a full-time data mining engineer in Tencent from 2014 to 2017. During this industry experience, I developed a broad interest in structural learning.
Graph Learning
Data Mining
2020 Summer, research intern, at Google AI (Mountain view), working with Da-Cheng Juan and Andrew Tomkins
Mask-GVAE: Blind Denoising Graphs via Partition
Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
WWW 2021 [code]
Dirichlet Graph Variational Autoencoder
Jia Li, Jianwei Yu, Jiajin Li,Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
NIPS 2020 [code]
Adversarial Attack on Community Detection by Hiding Individuals
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
WWW 2020 Oral [code]
Predicting Path Failure In Time-Evolving Graphs
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
KDD 2019 Oral [code] [video] [slides]
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wenbing Huang, Junzhou Huang
WWW 2019 [pytorch] [tensorflow]
TATC: Predicting Alzheimers Disease with Actigraphy Data
Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy Kwok, Hong Cheng
KDD 2018 Oral [talk] [video] [slides]
Assistant Professor, Hong Kong University of Science and Technology, starting from Aug. 2021
Senior Data Mining Engineer, Tencent, Shenzhen, 2014-2017
Fraud Detection System Programmer, China Mobile, Shenzhen, 2010-2013
Method and apparatus for determining object posture in image, device, and storage medium
Jia Li
US Patent App. 16/531,434