Yinjun Wu

39 papers A* 7B 4C 1Journal 25Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can Large Language Models be a Cardinality Estimator? An Empirical study.
CoRR
Liangzu Liu, Yiyan Wang, Yinjun Wu, Runze Su, Zhuo Chang, Peizhi Wu, Jianjun Chen, Fuxin Jiang, Rui Shi, Bin Cui, Tieying Zhang
2025 B conf
Edge-Optimized Voice Control with 0.26 M Parameters: Distilling 86M Adaptive Window Audio Transformer for Real-World Variable-Length Inputs.
IEEE Big Data
Pinze Ren, Zhen Chen, Yinjun Wu, Weiran Lin, Qilong Shi, Chao Li, Jianxin Yang
2025 J jnl
Hierarchical Scheduling for Multi-Vector Image Retrieval.
CoRR
Maoliang Li, Ke Li, Yaoyang Liu, Jiayu Chen, Zihao Zheng, Yinjun Wu, Xiang Chen
2025 J jnl
OpDiag: Unveiling Database Performance Anomalies Through Query Operator Attribution.
IEEE Trans. Knowl. Data Eng.
Shiyue Huang, Ziwei Wang, Yinjun Wu, Yaofeng Tu, Jiankai Wang, Bin Cui
2025 A* conf
POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval.
ICML
Yaoyang Liu, Junlin Li, Yinjun Wu, Zhen Chen
2025 J jnl
POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval.
CoRR
Yaoyang Liu, Junlin Li, Yinjun Wu, Zhen Chen
2025 J jnl
SQLGovernor: An LLM-powered SQL Toolkit for Real World Application.
CoRR
Jie Jiang, Siqi Shen, Haining Xie, Yang Li, Yu Shen, Danqing Huang, Bo Qian, Yinjun Wu, Wentao Zhang, Bin Cui, Peng Chen
2025 J jnl
SiriusBI: A Comprehensive LLM-powered Solution for Data Analytics in Business Intelligence.
Proc. VLDB Endow.
Jie Jiang, Haining Xie, Siqi Shen, Yu Shen, Zihan Zhang, Meng Lei, Yifeng Zheng, Yang Li, Chunyou Li, Danqing Huang, Yinjun Wu, Wentao Zhang, Xiaofeng Yang, Bin Cui, Peng Chen
2024 B conf
An Empirical Study on the Power Consumption of LLMs with Different GPU Platforms.
IEEE Big Data
Zhen Chen, Weiran Lin, Xinyu Xie, Yaodong Hu, Chao Li, Qiaojuan Tong, Yinjun Wu, Shuangshou Li
2024 A* conf
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation.
ICML
Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J. Getzen, Qi Long, Mayur Naik, Ravi B. Parikh, Eric Wong
2024 J jnl
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation.
CoRR
Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J. Getzen, Qi Long, Mayur Naik, Ravi B. Parikh, Eric Wong
2024 J jnl
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning.
Proc. ACM Program. Lang.
Aaditya Naik, Adam Stein, Yinjun Wu, Mayur Naik, Eric Wong
2024 A* conf
Towards Compositionality in Concept Learning.
ICML
Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong
2024 J jnl
Towards Compositionality in Concept Learning.
CoRR
Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong
2023 J jnl
Do Machine Learning Models Learn Common Sense?
CoRR
Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong
2023 A* conf
Do Machine Learning Models Learn Statistical Rules Inferred from Data?
ICML
Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong
2023 A* conf
Learning to Select Pivotal Samples for Meta Re-weighting.
AAAI
Yinjun Wu, Adam Stein, Jacob R. Gardner, Mayur Naik
2023 J jnl
Learning to Select Pivotal Samples for Meta Re-weighting.
CoRR
Yinjun Wu, Adam Stein, Jacob R. Gardner, Mayur Naik
2023 J jnl
MDB: Interactively Querying Datasets and Models.
CoRR
Aaditya Naik, Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik
2023 J jnl
Rectifying Group Irregularities in Explanations for Distribution Shift.
CoRR
Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik
2022 J jnl
Provenance-based Model Maintenance: Implications for Privacy.
IEEE Data Eng. Bull.
Yinjun Wu, Val Tannen, Susan B. Davidson
2021 J jnl
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report).
CoRR
Yinjun Wu, James Weimer, Susan B. Davidson
2021 J jnl
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties.
Proc. VLDB Endow.
Yinjun Wu, James Weimer, Susan B. Davidson
2021 A* conf
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.
AAAI
Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021 J jnl
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.
CoRR
Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2020 A* conf
DeltaGrad: Rapid retraining of machine learning models.
ICML
Yinjun Wu, Edgar Dobriban, Susan B. Davidson
2020 J jnl
DeltaGrad: Rapid retraining of machine learning models.
CoRR
Yinjun Wu, Edgar Dobriban, Susan B. Davidson
2020 J jnl
Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS.
CoRR
Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do
2020 C conf
Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS.
DaMoN
Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do
2020 — conf
PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models.
SIGMOD Conference
Yinjun Wu, Val Tannen, Susan B. Davidson
2020 J jnl
PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models.
CoRR
Yinjun Wu, Val Tannen, Susan B. Davidson
2020 J jnl
Why data citation isn't working, and what to do about it.
Database J. Biol. Databases Curation
Peter Buneman, Greig Christie, Jamie A. Davies, Roza Dimitrellou, Simon D. Harding, Adam J. Pawson, Joanna L. Sharman, Yinjun Wu
2019 J jnl
ProvCite: Provenance-based Data Citation.
Proc. VLDB Endow.
Yinjun Wu, Abdussalam Alawini, Daniel Deutch, Tova Milo, Susan B. Davidson
2018 J jnl
Data Citation: A New Provenance Challenge.
IEEE Data Eng. Bull.
Abdussalam Alawini, Susan B. Davidson, Gianmaria Silvello, Val Tannen, Yinjun Wu
2018 — conf
Data Citation: Giving Credit Where Credit is Due.
SIGMOD Conference
Yinjun Wu, Abdussalam Alawini, Susan B. Davidson, Gianmaria Silvello
2017 J jnl
Automating Data Citation in CiteDB.
Proc. VLDB Endow.
Abdussalam Alawini, Susan B. Davidson, Wei Hu, Yinjun Wu
2016 B conf
BAH: A Bitmap Index Compression Algorithm for Fast Data Retrieval.
LCN
Chenxing Li, Zhen Chen, Wenxun Zheng, Yinjun Wu, Junwei Cao
2016 J jnl
CAMP: A New Bitmap Index for Data Retrieval in Traffic Archival.
IEEE Commun. Lett.
Yinjun Wu, Zhen Chen, Junwei Cao, Haoxun Li, Chenxing Li, Yijie Wang, Wenxun Zheng, Jiahui Chang, Jing Zhou, Ziwei Hu, Jinghong Guo
2015 B conf
A General Analytical Model for Spatial and Temporal Performance of Bitmap Index Compression Algorithms in Big Data.
ICCCN
Yinjun Wu, Zhen Chen, Yuhao Wen, Junwei Cao, Wenxun Zheng, Ge Ma