Sai Wu

About Sai Wu

Sai Wu, With an exceptional h-index of 29 and a recent h-index of 20 (since 2020), a distinguished researcher at Zhejiang University, specializes in the field of Distributed Database, AI for DB.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges

Predictive and Near-Optimal Sampling for View Materialization in Video Databases

Sampling-Resilient Multi-Object Tracking

Pre-Trained Model Recommendation for Downstream Fine-tuning

FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning

MAGPIE: accurate pathogenic prediction for multiple variant types using machine learning approach

Rethinking Learned Cost Models: Why Start from Scratch?

Distributional constraint discovery for intelligent auditing

Sai Wu Information

University

Position

Professor

Citations(all)

4208

Citations(since 2020)

1296

Cited By

3493

hIndex(all)

29

hIndex(since 2020)

20

i10Index(all)

44

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Sai Wu Skills & Research Interests

Distributed Database

AI for DB

Top articles of Sai Wu

A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges

2024/5/1

Predictive and Near-Optimal Sampling for View Materialization in Video Databases

Proceedings of the ACM on Management of Data

2024/3/26

Sampling-Resilient Multi-Object Tracking

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Pre-Trained Model Recommendation for Downstream Fine-tuning

arXiv preprint arXiv:2403.06382

2024/3/11

FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning

Data Science and Engineering

2024/2/28

MAGPIE: accurate pathogenic prediction for multiple variant types using machine learning approach

Genome Medicine

2024/1/8

Rethinking Learned Cost Models: Why Start from Scratch?

Proceedings of the ACM on Management of Data

2023/12/12

Distributional constraint discovery for intelligent auditing

Knowledge and Information Systems

2023/12

SmartLite: A DBMS-Based Serving System for DNN Inference in Resource-Constrained Environments

Proceedings of the VLDB Endowment

2023/11/1

A Demonstration of DLBD: Database Logic Bug Detection System

Proceedings of the VLDB Endowment

2023/8/1

DoveDB: A Declarative and Low-Latency Video Database

Proceedings of the VLDB Endowment

2023/8/1

Quantum Computing for Databases: A Short Survey and Vision

Joint Workshops at 49th International Conference on Very Large Data Bases (VLDBW’23)—International Workshop on Quantum Data Science and Management (QDSM’23)

2023/8

CT-BERT: learning better tabular representations through cross-table pre-training

arXiv preprint arXiv:2307.04308

2023/7/10

Towards controlled data augmentations for active learning

2023/7/3

Detecting logic bugs of join optimizations in dbms

Proceedings of the ACM on Management of Data

2023/5/30

Assessing hidden risks of LLMs: an empirical study on robustness, consistency, and credibility

arXiv preprint arXiv:2305.10235

2023/5/15

Controllable textual inversion for personalized text-to-image generation

arXiv preprint arXiv:2304.05265

2023/4/11

A survey on mapping semi-structured data and graph data to relational data

2023/2/2

ModelGiF: Gradient Fields for Model Functional Distance

2023

IceBerg: Deep Generative Modeling for Constraint Discovery and Anomaly Detection

2022/12/17

See List of Professors in Sai Wu University(Zhejiang University)

Co-Authors

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