Lu Chen
教师
Works on data management and learning-based analytics over graphs, time series and high-dimensional data.
Lu Chen's lab at Zhejiang works on graph mining & networks, time series, anomaly & spatio-temporal data and learning theory & optimization. 107 papers since 2023, 93 at top venues, mostly ICDE and VLDB. Applications close .
At a glance
- papers, 2023–2026
- 28/ year
- at T1 venues
- 87%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 20 papers2026 · T1 19 · collecting
- 23 papers2025 · T1 20
- 35 papers2024 · T1 30
- 29 papers2023 · T1 24
T1 venuesOtherVenues: ICDE, VLDB, TKDE, KDD, SIGMOD
Research focuspaper titles that use each topic's words
- Time series, anomaly & spatio-temporal data45 papers
- Learning theory & optimization18 papers
- Graph mining & networks15 papers
- time series10 papers
- high-dimensional data0 papers
Paper list
From DBLP.
202620 papers
- ICLR (T1)A Unified Federated Framework for Trajectory Data Preparation via LLMs (opens in a new tab)
- SIGMOD (T1)Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization (opens in a new tab)
- VLDB (T1)DeXOR: Enabling XOR in Decimal Space for Streaming Lossless Compression of Floating-point Data (opens in a new tab)
- ICDE (T1)ELENA: AN Explainability-Aided Online Query Optimization Framework (opens in a new tab)
- KDD (T1)FairTraj: Density-Aware Generative Data Augmentation for Fairness in Downstream Trajectory Learning Tasks (opens in a new tab)
- KDD (T1)FedTT: A Federated Spatio-Temporal Learning Framework for Cross-City Traffic Knowledge Transfer (opens in a new tab)
- WWW (T1)Fraud Detection framework integrating recommendation mechanisms for future representation augmentation (opens in a new tab)
- VLDB (T1)ImputePilot: A Graphical Model Selection Toolkit for Time Series Imputation (opens in a new tab)
- WWW (T1)iQ-Guard: An Effective and Noise-Resistant Framework for Graph Fraud Detection on iQIYI Platform (opens in a new tab)
- ICDE (T1)LAMP: A Dual-Mode Framework for Database Workload Memory Prediction (opens in a new tab)
- ACL (T1)MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing (opens in a new tab)
- TKDE (T1)Moon: A Modality Conversion-Based Efficient Multivariate Time Series Anomaly Detection (opens in a new tab)
202523 papers
- ACL (T1)AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments (opens in a new tab)
- ICML (T1)Arrow: Accelerator for Time Series Causal Discovery with Time Weaving (opens in a new tab)
- NeurIPS (T1)Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach (opens in a new tab)
- TKDE (T1)DIMS: Distributed Index for Similarity Search in Metric Spaces (opens in a new tab)
- ICCV (T1)EgoAgent: A Joint Predictive Agent Model in Egocentric Worlds (opens in a new tab)
- NeurIPS (T1)FuncGenFoil: Airfoil Generation and Editing Model in Function Space (opens in a new tab)
- ICML (T1)GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning (opens in a new tab)
- ICDE (T1)Heterogeneous-Aware Traffic Prediction: A Privacy-Preserving Federated Learning Framework (opens in a new tab)
- IJCAI (T1)Human-Centric Foundation Models: Perception, Generation and Agentic Modeling (opens in a new tab)
- Frontiers Comput. Sci.Labeling-based centrality approaches for identifying critical edges on temporal graphs (opens in a new tab)
- TKDE (T1)LOFTune: A Low-Overhead and Flexible Approach for Spark SQL Configuration Tuning (opens in a new tab)
- EMNLP (T1)Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning (opens in a new tab)
202435 papers
- VLDB (T1)A Demonstration of TENDS: Time Series Management System based on Model Selection (opens in a new tab)
- ICDE (T1)Accelerating Biclique Counting on GPU (opens in a new tab)
- TKDE (T1)An Efficient and Distributed Framework for Real-Time Trajectory Stream Clustering (opens in a new tab)
- ICDE (T1)An Experimental Survey of Missing Data Imputation Algorithms (Extended Abstract) (opens in a new tab)
- VLDB (T1)An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models (opens in a new tab)
- SIGMOD (T1)Camel: Efficient Compression of Floating-Point Time Series (opens in a new tab)
- DASFAADistributed Temporal Graph Neural Network Learning over Large-Scale Dynamic Graphs (opens in a new tab)
- WWW (T1)Efficient Exact and Approximate Betweenness Centrality Computation for Temporal Graphs (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.Estimator: An Effective and Scalable Framework for Transportation Mode Classification Over Trajectories (opens in a new tab)
- ICDE (T1)FedCTQ: A Federated-Based Framework for Accurate and Efficient Contact Tracing Query (opens in a new tab)
- SIGMOD Conference CompanionFinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis (opens in a new tab)
- VLDB (T1)FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data (opens in a new tab)
202329 papers
- ICDE (T1)A Lightweight Framework for Fast Trajectory Simplification (opens in a new tab)
- TKDE (T1)An Experimental Survey of Missing Data Imputation Algorithms (opens in a new tab)
- KDD (T1)CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution (opens in a new tab)
- TKDE (T1)CollaborEM: A Self-Supervised Entity Matching Framework Using Multi-Features Collaboration (opens in a new tab)
- Int. J. Softw. InformaticsCross-source Data Error Detection Approach Based on Federated Learning (opens in a new tab)
- ACM TUR-CDisMASTD: An Efficient Distributed Multi-Aspect Streaming Tensor Decomposition (Poster Abstract) (opens in a new tab)
- Frontiers Comput. Sci.Dynamic traveling time forecasting based on spatial-temporal graph convolutional networks (opens in a new tab)
- VLDB (T1)Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs (opens in a new tab)
- TKDE (T1)Finding Materialized Models for Model Reuse (opens in a new tab)
- ICDE (T1)FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration (opens in a new tab)
- SIGMOD (T1)Ghost: A General Framework for High-Performance Online Similarity Queries over Distributed Trajectory Streams (opens in a new tab)
- VLDB (T1)Host Profit Maximization: Leveraging Performance Incentives and User Flexibility (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CNSJTU
Liqing Zhang
- Computational neuroscience & cognition
- USUIUC
Ning Luo
- Trustworthy & safe ML
- USStanford
Tsachy Weissman
- Learning theory & optimization
- USNYU
Carlos Fernandez-Granda
- Signal processing & information theory
- USNYU
Qiaoyu Tan
- Graph mining & networks
- USMichigan
Danai Koutra
- Graph mining & networks
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
Zhejiangcloses