Lu Chen

Orcid: 0000-0002-5685-7017

Affiliations:
  • Zhejiang University, Hangzhou, China
  • Aalborg University, Department of Computer Science, Denmark (former)
  • Zhejiang University, College of Computer Science, Hangzhou, China (PhD 2016)


According to our database1, Lu Chen authored at least 127 papers between 2012 and 2024.

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Bibliography

2024
Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study.
IEEE Trans. Knowl. Data Eng., May, 2024

An Efficient and Distributed Framework for Real-Time Trajectory Stream Clustering.
IEEE Trans. Knowl. Data Eng., May, 2024

FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data.
Proc. VLDB Endow., February, 2024

GPU-Accelerated Batch-Dynamic Subgraph Matching.
CoRR, 2024

FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis.
CoRR, 2024

2023
Finding Materialized Models for Model Reuse.
IEEE Trans. Knowl. Data Eng., December, 2023

CollaborEM: A Self-Supervised Entity Matching Framework Using Multi-Features Collaboration.
IEEE Trans. Knowl. Data Eng., December, 2023

Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs.
Proc. VLDB Endow., December, 2023

MetaKG: Meta-Learning on Knowledge Graph for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., October, 2023

Maximizing the influence of bichromatic reverse k nearest neighbors in geo-social networks.
World Wide Web (WWW), July, 2023

An Experimental Survey of Missing Data Imputation Algorithms.
IEEE Trans. Knowl. Data Eng., July, 2023

SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply in Transportation.
IEEE Trans. Knowl. Data Eng., 2023

SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting.
Proc. VLDB Endow., 2023

Real-time Workload Pattern Analysis for Large-scale Cloud Databases.
Proc. VLDB Endow., 2023

TASK: An Efficient Framework for Instant Error-tolerant Spatial Keyword Queries on Road Networks.
Proc. VLDB Endow., 2023

LDPTrace: Locally Differentially Private Trajectory Synthesis.
Proc. VLDB Endow., 2023

Host Profit Maximization: Leveraging Performance Incentives and User Flexibility.
Proc. VLDB Endow., 2023

Ghost: A General Framework for High-Performance Online Similarity Queries over Distributed Trajectory Streams.
Proc. ACM Manag. Data, 2023

Cross-source Data Error Detection Approach Based on Federated Learning.
Int. J. Softw. Informatics, 2023

Indexing Metric Spaces for Exact Similarity Search.
ACM Comput. Surv., 2023

MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality.
CoRR, 2023

MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching.
CoRR, 2023

C3: Zero-shot Text-to-SQL with ChatGPT.
CoRR, 2023

Modern Data Pricing Models: Taxonomy and Comprehensive Survey.
CoRR, 2023

Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs.
CoRR, 2023

SparDL: Distributed Deep Learning Training with Efficient Sparse Communication.
CoRR, 2023

Unsupervised Entity Alignment for Temporal Knowledge Graphs.
Proceedings of the ACM Web Conference 2023, 2023

Towards Explainable Collaborative Filtering with Taste Clusters Learning.
Proceedings of the ACM Web Conference 2023, 2023

Knowledge-refined Denoising Network for Robust Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RHB-Net: A Relation-aware Historical Bridging Network for Text2SQL Auto-Completion.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SEA: A Scalable Entity Alignment System.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Pricing Prediction Services for Profit Maximization with Incomplete Information.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Towards Explainable Table Interpretation Using Multi-view Explanations.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Lightweight Framework for Fast Trajectory Simplification.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

DisMASTD: An Efficient Distributed Multi-Aspect Streaming Tensor Decomposition (Poster Abstract).
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022
Pivot selection algorithms in metric spaces: a survey and experimental study.
VLDB J., 2022

Towards Query Pricing on Incomplete Data.
IEEE Trans. Knowl. Data Eng., 2022

Efficient Distributed Clustering Algorithms on Star-Schema Heterogeneous Graphs.
IEEE Trans. Knowl. Data Eng., 2022

CrowdTC: Crowd-powered Learning for Text Classification.
ACM Trans. Knowl. Discov. Data, 2022

DESIRE: An Efficient Dynamic Cluster-based Forest Indexing for Similarity Search in Multi-Metric Spaces.
Proc. VLDB Endow., 2022

PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching.
Proc. VLDB Endow., 2022

Answering Non-Answer Questions on Reverse Top-k Geo-Social Keyword Queries.
J. Comput. Sci. Technol., 2022

Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories.
CoRR, 2022

Maximizing the Influence of Bichromatic Reverse k Nearest Neighbors in Geo-Social Networks.
CoRR, 2022

ZeroMatcher: A Cost-Off Entity Matching System.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Self-Guided Learning to Denoise for Robust Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Less-forgetting Multi-lingual Fine-tuning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Spatio-Temporal Trajectory Similarity Learning in Road Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Reliable Community Search on Uncertain Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

PinSQL: Pinpoint Root Cause SQLs to Resolve Performance Issues in Cloud Databases.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Evolutionary Clustering of Moving Objects.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

MTTPRE: a multi-scale spatial-temporal model for travel time prediction.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

An Interactive Data Imputation System.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Dragoon: a hybrid and efficient big trajectory management system for offline and online analytics.
VLDB J., 2021

Answering Skyline Queries Over Incomplete Data With Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2021

Statistical Inference of Diffusion Networks.
IEEE Trans. Knowl. Data Eng., 2021

SpeakNav: Voice-based Route Description Language Understanding for Template Driven Path Search.
Proc. VLDB Endow., 2021

Efficient and Effective Data Imputation with Influence Functions.
Proc. VLDB Endow., 2021

TRACE: Real-time Compression of Streaming Trajectories in Road Networks.
Proc. VLDB Endow., 2021

LargeEA: Aligning Entities for Large-scale Knowledge Graphs.
Proc. VLDB Endow., 2021

MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data.
Proc. VLDB Endow., 2021

ST2Vec: Spatio-Temporal Trajectory Similarity Learning in Road Networks.
CoRR, 2021

FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning.
CoRR, 2021

SMS: An Efficient Source Model Selection Framework for Model Reuse.
CoRR, 2021

Evolutionary Clustering of Streaming Trajectories.
CoRR, 2021

CollaborER: A Self-supervised Entity Resolution Framework Using Multi-features Collaboration.
CoRR, 2021

Make It Easy: An Effective End-to-End Entity Alignment Framework.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

DisMASTD: An Efficient Distributed Multi-Aspect Streaming Tensor Decomposition.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Towards Query Pricing on Incomplete Data (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SOUP: A Fleet Management System for Passenger Demand Prediction and Competitive Taxi Supply.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

E<sup>2</sup>DTC: An End to End Deep Trajectory Clustering Framework via Self-Training.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Towards distributed node similarity search on graphs.
World Wide Web, 2020

Distributed time-respecting flow graph pattern matching on temporal graphs.
World Wide Web, 2020

Context-aware, preference-based vehicle routing.
VLDB J., 2020

Compression of Uncertain Trajectories in Road Networks.
Proc. VLDB Endow., 2020

Spatial-Temporal Demand Forecasting and Competitive Supply via Graph Convolutional Networks.
CoRR, 2020

Indexing Metric Spaces for Exact Similarity Search.
CoRR, 2020

CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification.
CoRR, 2020

CoMing: A Real-time Co-Movement Mining System for Streaming Trajectories.
Proceedings of the 2020 International Conference on Management of Data, 2020

Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Answering Skyline Queries over Incomplete Data with Crowdsourcing(Extended Abstract).
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Efficient Group Processing for Multiple Reverse Top-k Geo-Social Keyword Queries.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
Guest editorial: special issue on Web data querying, mining, and privacy preserving.
World Wide Web, 2019

Efficient distributed reachability querying of massive temporal graphs.
VLDB J., 2019

IHCS: An Integrated Hybrid Cleaning System.
Proc. VLDB Endow., 2019

Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories.
Proc. VLDB Endow., 2019

Distributed Similarity Queries in Metric Spaces.
Data Sci. Eng., 2019

Efficient Similarity Search on Quasi-Metric Graphs.
IEEE Access, 2019

DBSCAN-MS: Distributed Density-Based Clustering in Metric Spaces.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Efficient and Incremental Clustering Algorithms on Star-Schema Heterogeneous Graphs.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics.
Proc. VLDB Endow., 2018

PTRider: A Price-and-Time-Aware Ridesharing System.
Proc. VLDB Endow., 2018

Special Issue Editorial.
Data Sci. Eng., 2018

Recurrent Multi-Graph Neural Networks for Travel Cost Prediction.
CoRR, 2018

VIPTRA: Visualization and Interactive Processing on Big Trajectory Data.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

Price-and-Time-Aware Dynamic Ridesharing.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Metric Similarity Joins Using MapReduce (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Scalable Hypergraph-Based Image Retrieval and Tagging System.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Aggregate k Nearest Neighbor Queries in Metric Spaces.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Distributed k-Nearest Neighbor Queries in Metric Spaces.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017
Indexing metric uncertain data for range queries and range joins.
VLDB J., 2017

Metric Similarity Joins Using MapReduce.
IEEE Trans. Knowl. Data Eng., 2017

Efficient Metric Indexing for Similarity Search and Similarity Joins.
IEEE Trans. Knowl. Data Eng., 2017

Pivot-based Metric Indexing.
Proc. VLDB Endow., 2017

2016
Metric All-k-Nearest-Neighbor Search.
IEEE Trans. Knowl. Data Eng., 2016

Efficient Metric All-k-Nearest-Neighbor Search on Datasets Without Any Index.
J. Comput. Sci. Technol., 2016

Probabilistic skyline queries on uncertain time series.
Neurocomputing, 2016

Answering why-not questions on metric probabilistic range queries.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
Efficient k-closest pair queries in general metric spaces.
VLDB J., 2015

I2RS: A Distributed Geo-Textual Image Retrieval and Recommendation System.
Proc. VLDB Endow., 2015

Efficient algorithms for finding the most desirable skyline objects.
Knowl. Based Syst., 2015

On efficient k-optimal-location-selection query processing in metric spaces.
Inf. Sci., 2015

Indexing Metric Uncertain Data for Range Queries.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Computing Skyline Probabilities on Uncertain Time Series.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Efficient metric indexing for similarity search.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2013
Reverse Top-k Group Nearest Neighbor Search.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Browse with a social web directory.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Commodity query by snapping.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Mapping queries to questions: towards understanding users' information needs.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

On Efficient k-Skyband Query Processing over Incomplete Data.
Proceedings of the Database Systems for Advanced Applications, 2013

Parallel k-Skyband Computation on Multicore Architecture.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012
All-Visible-k-Nearest-Neighbor Queries.
Proceedings of the Database and Expert Systems Applications, 2012


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