Jun Gao
Professor
Researches distributed data management and big-graph management, mining and learning, including AI for databases.
Jun Gao's lab at Peking works on data management & big data, graph mining & networks and distributed, cloud & edge systems. 23 papers since 2023, 17 at top venues, mostly ICDE and TKDE. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 74%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 5 papers2026 · T1 3 · collecting
- 8 papers2025 · T1 8
- 2 papers2024 · T1 1
- 8 papers2023 · T1 5
T1 venuesOtherVenues: ICDE, TKDE, EMNLP, SIGMOD, VLDB
Research focuspaper titles that use each topic's words
- Graph mining & networks5 papers
- Data management & big data1 paper
- Distributed, cloud & edge systems1 paper
- management0 papers
- researches distributed0 papers
Paper list
From DBLP.
20265 papers
- VLDB Journal (T1)BQSched+: A generalizable RL-based scheduler for varying batch concurrent queries (opens in a new tab)
- Findings of ACLDataSeer: A Manager-Centric Collaborative Multi-Agent Framework with Multi-Branch Reasoning for Automated Insight Discovery (opens in a new tab)
- SIGMOD (T1)Divo: Learning a Stable and Effective Query Optimizer with a Diverse Workload (opens in a new tab)
- ICDE (T1)LLM4Hint: Leveraging Large Language Models for Hint Recommendation in Offline Query Optimization (opens in a new tab)
- ACM Trans. Knowl. Discov. DataMoEPlan: A Lazy Learned Query-Selection Optimizer via Mixture of Optimizer Experts (opens in a new tab)
20258 papers
- ICDE (T1)BQSched: A Non-Intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning (opens in a new tab)
- ICDE (T1)BSG4Bot:Efficient Bot Detection Based on Biased Heterogeneous Subgraphs (opens in a new tab)
- ICDE (T1)CommunityDF: A Guided Denoising Diffusion Approach for Community Search (opens in a new tab)
- TKDE (T1)DeepNM: Incremental Graph Matching Based on Sinkhorn Similarity (opens in a new tab)
- EMNLP (T1)FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain (opens in a new tab)
- ICDE (T1)LIFTus: An Adaptive Multi-Aspect Column Representation Learning for Table Union Search (opens in a new tab)
- EMNLP (T1)Realistic Training Data Generation and Rule Enhanced Decoding in LLM for NameGuess (opens in a new tab)
- SIGMOD (T1)SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index (opens in a new tab)
20242 papers
20238 papers
- TKDE (T1)Adaptive Label Propagation for Group Anomaly Detection in Large-Scale Networks (opens in a new tab)
- ISPA/BDCloud/SocialCom/SustainComAnomaly Detection in Battery Charging Systems: A Deep Sequence Model Approach (opens in a new tab)
- VLDB (T1)CommunityAF: An Example-based Community Search Method via Autoregressive Flow (opens in a new tab)
- ECIRDomain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce (opens in a new tab)
- VLDB Journal (T1)ICS-GNN+: lightweight interactive community search via graph neural network (opens in a new tab)
- DASFAAJG2Time: A Learned Time Estimator for Join Operators Based on Heterogeneous Join-Graphs (opens in a new tab)
- VLDB (T1)LOGER: A Learned Optimizer towards Generating Efficient and Robust Query Execution Plans (opens in a new tab)
- TKDE (T1)SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The alumni list could not be found on the lab site.
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