Recent News

Our Paper “Incremental Preference Adjustment: a Graph Theoretical Approach” is accepted by VLDB Journal. Our approaches can avoid short-term interest drift while capturing longer-term user preference change. A very interesting case study has also been conducted.

It is an honor to serve the Registration Chair and the PC member of SIGMOD 2021.

“A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges” is accepted by TKDE. Check an Early Access Version.

Our paper “Spatial Object Recommendation with Hints: When Spatial Granularity Matters” got accepted by SIGIR’20. This is a joint work with Baidu Research using real-world Baidu Maps user log data.

Our Paper “Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter” has been accepted by SIGMOD 2020.

We have one paper “Crowdsourced Collective Entity Resolution with Relational Match Propagation” accepted by IEEE ICDE 2020.

We get an ARC DP20 grant to support our research on building a next-generation map service for an interactive exploration of Massive Geo-spatial data. Thanks ARC!

I am promoted to Associate Professor, effective from Jan 1, 2020. Thanks for the recognition from the peers and the university promotion panel!

We have two papers “Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling” and “Temporal Network Representation Learning via Historical Neighborhoods Aggregation” accpeted by IEEE ICDE 2020

Our paper “Optimizing Impression Counts for Outdoor Advertising” got the Best Paper Award Runner Up in ACM SIGKDD 2019

Our paper “Fast Large-Scale Trajectory Clustering” is accepted by PVLDB 2020

We are grateful to a new Google Research Award. Thanks Google!

Our paper ‘Trajectory-driven Influential Billboard Placement’ is selected as one of the Best Papers of SIGKDD