Cheng Long

Orcid: 0000-0001-6806-8405

Affiliations:
  • Nanyang Technological University, College of Computing and Data Science (CCDS), Singapore


According to our database1, Cheng Long authored at least 138 papers between 2011 and 2024.

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Bibliography

2024
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., September, 2024

BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data.
Proc. ACM Manag. Data, September, 2024

Aspect-Aware Graph Attention Network for Heterogeneous Information Networks.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-Location Pattern Mining.
IEEE Trans. Knowl. Data Eng., April, 2024

Efficient k-Clique Listing: An Edge-Oriented Branching Strategy.
Proc. ACM Manag. Data, February, 2024

RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search.
Proc. ACM Manag. Data, 2024

Hybrid Mamba for Few-Shot Segmentation.
CoRR, 2024

Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search.
CoRR, 2024

iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search.
CoRR, 2024

Billiards Sports Analytics: Datasets and Tasks.
CoRR, 2024

TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment.
CoRR, 2024

Maximum <i>k</i>-Plex Search: An Alternated Reduction-and-Bound Method.
CoRR, 2024

A Survey of Generative Techniques for Spatial-Temporal Data Mining.
CoRR, 2024

Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics.
CoRR, 2024

Defense Against Model Extraction Attacks on Recommender Systems.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

OpenSiteRec: An Open Dataset for Site Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Spatial-Temporal Large Language Model for Traffic Prediction.
Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Adaptive Truss Maximization on Large Graphs: A Minimum Cut Approach.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

On Searching Maximum Directed (k, 𝓁)-Plex.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Eliminating Feature Ambiguity for Few-Shot Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Watermarking Recommender Systems.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Road Network Representation Learning: A Dual Graph-based Approach.
ACM Trans. Knowl. Discov. Data, November, 2023

Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach.
IEEE Trans. Knowl. Data Eng., October, 2023

Region Embedding With Intra and Inter-View Contrastive Learning.
IEEE Trans. Knowl. Data Eng., September, 2023

Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach.
Proc. ACM Manag. Data, September, 2023

HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control.
Inf. Sci., September, 2023

Summarizing User-item Matrix By Group Utility Maximization.
ACM Trans. Knowl. Discov. Data, July, 2023

Similar Sports Play Retrieval With Deep Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., April, 2023

k-Pleased Querying.
IEEE Trans. Knowl. Data Eng., April, 2023

On Efficient Large Maximal Biplex Discovery.
IEEE Trans. Knowl. Data Eng., 2023

Filling Delivery Time Automatically Based on Couriers' Trajectories.
IEEE Trans. Knowl. Data Eng., 2023

Cost-Aware and Distance-Constrained Collective Spatial Keyword Query.
IEEE Trans. Knowl. Data Eng., 2023

Road Extraction With Satellite Images and Partial Road Maps.
IEEE Trans. Geosci. Remote. Sens., 2023

Towards Designing and Learning Piecewise Space-Filling Curves.
Proc. VLDB Endow., 2023

Towards Pointsets Representation Learning via Self-Supervised Learning and Set Augmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph.
Proc. ACM Manag. Data, 2023

Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach.
Proc. ACM Manag. Data, 2023

The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data.
Proc. ACM Manag. Data, 2023

High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations.
Proc. ACM Manag. Data, 2023

Asking Clarifying Questions: To benefit or to disturb users in Web search?
Inf. Process. Manag., 2023

A Summary of ICDE 2022 Research Session Panels.
IEEE Data Eng. Bull., 2023

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy.
CoRR, 2023

OpenSiteRec: An Open Dataset for Site Recommendation.
CoRR, 2023

LGM3A '23: 1st Workshop on Large Generative Models Meet Multimodal Applications.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

NeurSEG: A Segment Driven Deep Neural Model for Nested Named Entity Recognition.
Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, 2023

Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Most Probable Densest Subgraphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Self-Calibrated Cross Attention Network for Few-Shot Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Graph Structural Infomax.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Proximity Queries on Terrain Surface.
ACM Trans. Database Syst., 2022

Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods.
ACM Trans. Database Syst., 2022

TriATNE: Tripartite Adversarial Training for Network Embeddings.
IEEE Trans. Cybern., 2022

Towards Secure and Efficient Equality Conjunction Search Over Outsourced Databases.
IEEE Trans. Cloud Comput., 2022

GNSS TEC-Based Earthquake Ionospheric Perturbation Detection Using a Novel Deep Learning Framework.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Prototype Feature Extraction for Multi-task Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Efficient Algorithms for Maximal k-Biplex Enumeration.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Improving Conversational Recommender Systems via Transformer-based Sequential Modelling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

On Predicting and Generating a Good Break Shot in Billiards Sports.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Modeling Trajectories with Multi-task Learning.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

A Matching Based Spatial Crowdsourcing Framework for Egalitarian Task Assignment.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Service Time Prediction for Delivery Tasks via Spatial Meta-Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Survey on Neural Open Information Extraction: Current Status and Future Directions.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

On Efficient Large Maximal Biplex Discovery (Extended abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Discovering Actual Delivery Locations from Mis-Annotated Couriers' Trajectories.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Maximal Directed Quasi -Clique Mining.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

k-Pleased Querying (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Cost-Aware and Distance-Constrained Collective Spatial Keyword Query (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

On Inferring User Socioeconomic Status with Mobility Records.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Data Science for Fake News - Surveys and Perspectives
The Information Retrieval Series 42, Springer, ISBN: 978-3-030-62695-2, 2021

Distributed Event-Based Control for Thermostatically Controlled Loads Under Hybrid Cyber Attacks.
IEEE Trans. Cybern., 2021

Adaptive Event-Triggered Strategy for Economic Dispatch in Uncertain Communication Networks.
IEEE Trans. Control. Netw. Syst., 2021

Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks.
Proc. VLDB Endow., 2021

Few-shot fine-grained classification with Spatial Attentive Comparison.
Knowl. Based Syst., 2021

Towards advancing the earthquake forecasting by machine learning of satellite data.
CoRR, 2021

Adaptive Holding for Online Bottleneck Matching with Delays.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Trajectory Simplification with Reinforcement Learning.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Self-Supervised Deep Metric Learning for Pointsets.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
On Nearby-Fit Spatial Keyword Queries.
IEEE Trans. Knowl. Data Eng., 2020

Learning Network Representations With Different Order Structural Information.
IEEE Trans. Comput. Soc. Syst., 2020

Identification of Electromagnetic Pre-Earthquake Perturbations from the DEMETER Data by Machine Learning.
Remote. Sens., 2020

Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning.
Proc. VLDB Endow., 2020

On optimal preference diffusion over social networks.
Inf. Syst., 2020

Context-aware Deep Model for Joint Mobility and Time Prediction.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Architecture-Intact Oracle for Fastest Path and Time Queries on Dynamic Spatial Networks.
Proceedings of the 2020 International Conference on Management of Data, 2020

Lane Extraction and Quality Evaluation: A Hough Transform Based Approach.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Doing in One Go: Delivery Time Inference Based on Couriers' Trajectories.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Interaction-aware Kalman Neural Networks for Trajectory Prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

On Nearby-Fit Spatial Keyword Queries (Extended Abstract).
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Unsupervised Fake News Detection: A Graph-based Approach.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

LSimRank: Node Similarity in a Labeled Graph.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Learning to Generate Maps from Trajectories.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process.
Neurocomputing, 2019

Interaction-aware Kalman Neural Networks for Trajectory Prediction.
CoRR, 2019

Effective and Efficient Sports Play Retrieval with Deep Representation Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Lightweight Fault Tolerance in Pregel-Like Systems.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Fraction-Score: A New Support Measure for Co-location Pattern Mining.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

On Generalizing Collective Spatial Keyword Queries (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Class Indistinguishability for Outsourcing Equality Conjunction Search.
Proceedings of the Cloud Computing - CLOUD 2019, 2019

2018
Spatial Matching Problems.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

On Generalizing Collective Spatial Keyword Queries.
IEEE Trans. Knowl. Data Eng., 2018

Profit Maximization with Sufficient Customer Satisfactions.
ACM Trans. Knowl. Discov. Data, 2018

Representation Learning for Spatial Graphs.
CoRR, 2018

Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality.
Proceedings of the 2018 International Conference on Management of Data, 2018

Counting Edges with Target Labels in Online Social Networks via Random Walk.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

Fast Identification of Interesting Spatial Regions with Applications in Human Development Research.
Proceedings of the Database and Expert Systems Applications, 2018

2017
Optimal Worst-Case Matching.
Proceedings of the Encyclopedia of GIS., 2017

Inherent-Cost Aware Collective Spatial Keyword Queries.
Proceedings of the Advances in Spatial and Temporal Databases, 2017

Distance Oracle on Terrain Surface.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Counting Edges and Triangles in Online Social Networks via Random Walk.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2015
Optimal Location Queries in Road Networks.
ACM Trans. Database Syst., 2015

Trend-MC: A Melody Composer by Constructing from Frequent Trend-Based Patterns.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Terrain-Toolkit: A Multi-Functional Tool for Terrain Data.
Proc. VLDB Endow., 2014

Trajectory Simplification: On Minimizing the Direction-based Error.
Proc. VLDB Endow., 2014

Viral marketing for dedicated customers.
Inf. Syst., 2014

Hypersphere dominance: an optimal approach.
Proceedings of the International Conference on Management of Data, 2014

Efficient algorithms for optimal location queries in road networks.
Proceedings of the International Conference on Management of Data, 2014

A New Framework for Traffic Anomaly Detection.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Visual-VM: A Social Network Visualization Tool for Viral Marketing.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Direction-Preserving Trajectory Simplification.
Proc. VLDB Endow., 2013

On optimal worst-case matching.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Collective spatial keyword queries: a distance owner-driven approach.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

On Good and Fair Paper-Reviewer Assignment.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

T-Music: A melody composer based on frequent pattern mining.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2011
Minimizing Seed Set for Viral Marketing.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011


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