Yinjun Wu
Assistant Professor
Researches data-centric machine learning and data management, including data cleaning and provenance for ML.
Yinjun Wu's lab at Peking works on data management & big data. 15 papers since 2023, 12 at top venues, mostly ICML and TKDE. 3 PhD students and 1 master's student. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 80%
- PhD students
- 3
- MS students
- 1
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 6 · collecting
- 3 papers2025 · T1 2
- 3 papers2024 · T1 2
- 3 papers2023 · T1 2
T1 venuesOtherVenues: ICML, TKDE, AAAI, DAC, ICDE
Research focuspaper titles that use each topic's words
- Data management & big data2 papers
- researches data-centric0 papers
- data-centric machine0 papers
- data-centric0 papers
- data management0 papers
Paper list
From the lab homepage.
20266 papers
- VLDB Journal (T1)Can Large Language Models be a Cardinality Estimator? An Empirical study
- TKDE (T1)CausalDX: Diagnosing Long-Tail and Cascading Cloud Incidents with LLM-Guided Causal Reasoning
- ICDE (T1)DistVec: Efficient Distributed Machine Learning in Parallel Database Systems
- DAC (T1)Hierarchical Scheduling for Multi-Vector Image Retrieval
- ICML (T1)MVR-cache: Optimizing Semantic Caching via Multi-Vector Retrieval and Learned Prompt Segmentation
- NeurIPS (T1)REGATE: Confidence-Calibrated Integration of Temporally-Aligned Exogenous Texts for Dynamic Graphs
20253 papers
- TKDE (T1)OpDiag: Unveiling Database Performance Anomalies through Query Operator Attribution
- ICML (T1)POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
- —SiriusBI: A Comprehensive LLM-powered Solution for Data Analytics in Business Intelligence
20243 papers
- ICML (T1)DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
- OOPSLATorchQL: A Programming Framework for Integrity Constraints in Machine Learning
- ICML (T1)Towards Compositionality in Concept Learning
20233 papers
- ICML (T1)Do Machine Learning Models Learn Statistical Rules Inferred from Data?
- AAAI (T1)Learning to Select Pivotal Samples for Meta Re-weighting
- NeurIPS WorkshopRectifying Group Irregularities in Explanations for Distribution Shift
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
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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