Openings: We have openings of Post-Doc, PhD students, visiting scholars/students from time to time. Please contact me via email if you have interest.

Biography Cheng LONG is currently an Assistant Professor at the School of Computer Science and Engineering, Nanyang Technological University, Singapore. From 2016 to 2018, he worked as an academic lecturer at Queen's University Belfast, UK. He received his PhD degree from the Hong Kong University of Science and Technology, Hong Kong, in 2015, and his BEng degree from South China University of Technology, China, in 2010.

Research Interests Cheng LONG has research interests broadly in data management, data mining and machine learning. In particular, he has passion in designing (1) algorithms for querying and mining geo-spatial data, spatio-temporal data and graph data and (2) models for learning from these data types for various applications such as smart cities, logistics, social media analytics, etc.

Recent News
08/22 [Publication] SIGMOD 2023 "Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach"
08/22 [Publication] ICDE 2023 "Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning"
08/22 [Keynote] UrbComp 2022 "Pre-Processing and Querying Big Trajectory Data with Reinforcement Learning"
08/22 [Publication] CIKM 2022 "Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training"
05/22 [Publication] KDD 2022 "Service Time Prediction for Delivery Tasks via Spatial Meta-Learning"
03/22 [Publication] ICDE 2022 "Maximal Directed Quasi-Clique Mining"
02/22 [Grant] Singapore MOE AcRF Tier 2, "Learn to Augment and Represent Spatial Urban Data", PI
02/22 [Publication] ICDE 2022 "Discovering Actual Delivery Locations from Mis-Annotated Couriers’ Trajectories"
01/22 [Publication] WWW 2022 "Prototype Feature Extraction for Multi-task Learning"
12/21 [Publication] SIGMOD 2022 "Efficient Algorithms for Maximal k-Biplex Enumeration"
10/21 [Publication] VLDB 2022 "Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks"
10/21 [Service] Co-Chair of ICDE 2022 PhD Symposium: Submission deadline on 31 Dec 2021
09/21 [Award] PhD student Zheng WANG receives Google PhD Fellowship (Data Management Area)
08/21 [Publication] ICDM 2021 "Summarizing User-Item Matrix By Group Utility Maximization"
08/21 [Publication] CIKM 2021 "Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics"
05/21 [Grant] Singapore MOE AcRF Tier 2, "Pre-Processing and Querying Big Trajectory Data with Reinforcement Learning", PI
05/21 [Award] PhD student Zheng WANG receives AISG PhD Fellowship (Aug 2021 batch)
05/21 [Publication] KDD 2021 "Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning"
02/21 [Publication] ICDE 2021 "Trajectory Simplification with Reinforcement Learning"
12/20 [Service] Demo Track Co-Chair of IEEE MDM 2021
12/20 [Service] Publicity Co-Chair of SSTD 2021
12/20 [Publication] SDM 2021 "Adaptive Holding for Online Bottleneck Matching with Delays"
12/20 [Publication] ICDE 2021 "Self-Supervised Deep Metric Learning for Pointsets" and "ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce"
07/20 [Publication] VLDB 2020 "Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning"
05/20 [Publication] KDD 2020 "Doing in One Go: Delivered Time Inference Based on Couriers' Trajectories"
04/20 [Publication] SIGMOD 2020 "Architecture-Intact Oracle for Fastest Path and Time Queries on Dynamic Spatial Networks"
04/20 [Award] Outstanding Reviewer of PAKDD 2020