百晓学者学者目录

王健楠

副教授,清华大学

精选作品

期刊论文

2026

PrepBench: How Far are We from Natural-Language-Driven Data Preparation?

Jingzhe Xu, Rui Wang, Jiannan Wang, Guoliang Li

Proceedings of the VLDB Endowment

2026

ParSEval: Interactive Counterexample-Driven Evaluation for Text-to-SQL

Chun-Yu Chen, Zheng-Jie Miao, Yong Zhang, Jiannan Wang

Proceedings of the VLDB Endowment

2026

The Case for Text-to-SQL Friendly Logical Database Design

Shi-Heng Zhang, Zheng-Jie Miao, Jiannan Wang

arXiv.org

2026

Second International Workshop on LLM+Vector Data: Agentic RAG Edition

Arijit Khan, Yu-Yu Luo, M. Tamer Özsu, Danrui Qi, Jiannan Wang

2026 IEEE 42nd International Conference on Data Engineering Workshops (ICDEW)

2026

Demonstration of GICS: A User-friendly Interactive Community Search System Over Graphs

Longxu Sun, Xin Huang, Jiannan Wang, Jian-Liang Xu

SIGMOD Companion

2026

ST-Raptor: An Agentic System for Semi-Structured Table QA

Jin Qu, Zi-Rui Tang, Hong-Yi Huang, Bo-Yu Niu, Wei Zhou, Jiannan Wang, Yi-Tong Song, Guo-Liang Li, Xuan-He Zhou, Fan Wu

arXiv.org

2026

BQSched+\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^{+}$$\end{document}: A generalizable RL-based scheduler for v

Chenhao Xu, Chun-Yu Chen, Jinglin Peng, Jiannan Wang, Jun Gao

The VLDB journal

2025

ParSEval: Plan-aware Test Database Generation for SQL Equivalence Evaluation

Chun-Yu Chen, Zheng-Jie Miao, Yong Zhang, Jiannan Wang

Proceedings of the VLDB Endowment

2025

A Flexible Framework for Query-oriented Interactive Community Search

Longxu Sun, Xin Huang, Jiannan Wang, Jianliang Xu

Proceedings of the VLDB Endowment

2025

Accio: Bolt-on Query Federation

Xiaoying Wang, Jiannan Wang, Tianzheng Wang, Yong Zhang

Proceedings of the VLDB Endowment

2025

Data+AI: LLM4Data and Data4LLM

Guo-Liang Li, Jiayi Wang, Chenyang Zhang, Jiannan Wang

SIGMOD Conference Companion

2025

A Survey of Data Agents: Emerging Paradigm or Overstated Hype?

Yizhang Zhu, Liang-Wei Wang, Chenyu Yang, Xiao-Tian Lin, Boyan Li, Wei Zhou, Xin-Yu Liu, Zhang-Yang Peng, Tian-Qi Luo, Yu Li, Cheng-Liang Chai, Chong Chen, Shi-Min Di, Ju Fan, Ji Sun, Nan Tang, F. Tsung, Jiannan Wang, Cheng-Lin Wu, Yanwei Xu, Shao-Lei Zhang, Yong Zhang, Xuan-He Zhou, Guo-Liang Li, Yu-Yu Luo

arXiv.org

2025

ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding

Yi-Fan Wu, Lu-Tao Yan, Leixian Shen, Yi-Nan Mei, Jiannan Wang, Yu-Yu Luo

arXiv.org

2025

A Unified Model for Cardinality Estimation by Learning from Data and Queries via Sum-Product Networks

Jia-Wei Liu, Ju Fan, Tongyu Liu, Kai Zeng, Jiannan Wang, Quehuan Liu, Tao Ye, Nan Tang

arXiv.org

2025

BQSched: A Non-Intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning

Chen-Hao Xu, Chun-Yu Chen, Jinglin Peng, Jiannan Wang, Jun Gao

IEEE International Conference on Data Engineering

2025

LineageX: A Column Lineage Extraction System for SQL

Shi-Heng Zhang, Zheng-Jie Miao, Jiannan Wang

IEEE International Conference on Data Engineering

2025

ST-Raptor: LLM-Powered Semi-Structured Table Question Answering

Zi-Rui Tang, Bo-Yu Niu, Xuan-He Zhou, Boxiu Li, Wei Zhou, Jiannan Wang, Guo-Liang Li, Xinyi Zhang, Fan Wu

Proc. ACM Manag. Data

2024

CleanAgent: Automating Data Standardization with LLM-based Agents

Danrui Qi, Zheng-Jie Miao, Jiannan Wang

VLDB Workshops

2024

FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables

Danrui Qi, Wei Zheng, Jiannan Wang

IEEE International Conference on Data Engineering

2023

Web Connector: A Unified API Wrapper to Simplify Web Data Collection

Weiyuan Wu, Pei Wang, Yihui Xie, Yejia Liu, George Chow, Jiannan Wang

Proceedings of the VLDB Endowment

2023

Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data

Danrui Qi, Jinglin Peng, Yongjun He, Jiannan Wang

International Conference on Extending Database Technology

2022

ConnectorX: Accelerating Data Loading From Databases to Dataframes

Xiaoying Wang, Weiyuan Wu, Jin-Ze Wu, Yizhou Chen, Nick Zrymiak, Chang-Bo Qu, Lampros Flokas, George Chow, Jiannan Wang, Tianzheng Wang, Eugene Wu, Qingqing Zhou

Proceedings of the VLDB Endowment

2022

Complaint-Driven Training Data Debugging at Interactive Speeds

Lampros Flokas, Weiyuan Wu, Yejia Liu, Jiannan Wang, Nakul Verma, Eugene Wu

SIGMOD Conference

2022

How I stopped worrying about training data bugs and started complaining

Lampros Flokas, Weiyuan Wu, Jiannan Wang, Nakul Verma, Eugene Wu

DEEM@SIGMOD

2022

User Interfaces for Exploratory Data Analysis: A Survey of Open-Source and Commercial Tools

Jinglin Peng, Weiyuan Wu, Jing Nathan Yan, Danrui Qi, Jeffrey M. Rzeszotarski, Jiannan Wang

IEEE Data Engineering Bulletin

2022

One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees

Jinglin Peng, Bo-Lin Ding, Jiannan Wang, Kai Zeng, Jing-Ren Zhou

SIGMOD Conference

2021

Enabling SQL-based Training Data Debugging for Federated Learning

Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu

Proceedings of the VLDB Endowment

2021

Explaining Inference Queries with Bayesian Optimization

Brandon Lockhart, Jinglin Peng, Weiyuan Wu, Jiannan Wang, Eugene Wu

Proceedings of the VLDB Endowment

2021

DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python

Jinglin Peng, Weiyuan Wu, Brandon Lockhart, S. Bian, J. Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang

SIGMOD Conference

2021

Automating Entity Matching Model Development

Pei Wang, Wei-Ling Zheng, Jiannan Wang, J. Pei

IEEE International Conference on Data Engineering

2020

ActiveDeeper

Liang Zhao, Qingcan Li, Pei Wang, Jiannan Wang, Eugene Wu

Proceedings of the VLDB Endowment

2020

Are We Ready For Learned Cardinality Estimation?

Xiaoying Wang, Chang-Bo Qu, Weiyuan Wu, Jiannan Wang, Qingqing Zhou

Proceedings of the VLDB Endowment

2020

Complaint-driven Training Data Debugging for Query 2.0

Weiyuan Wu, Lampros Flokas, Eugene Wu, Jiannan Wang

SIGMOD Conference

2020

SCODED: Statistical Constraint Oriented Data Error Detection

J. Yan, O. Schulte, Mohan Zhang, Jiannan Wang, Reynold Cheng

SIGMOD Conference

2019

Crowdsourcing Database Systems: Overview and Challenges

Cheng-Liang Chai, Ju Fan, Guo-Liang Li, Jiannan Wang, Yudian Zheng

IEEE International Conference on Data Engineering

2019

Towards Extracting Highlights From Recorded Live Videos: An Implicit Crowdsourcing Approach

Ruo-Chen Jiang, Chang-Bo Qu, Jiannan Wang, Chi Wang, Yudian Zheng

IEEE International Conference on Data Engineering

2019

Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment

Pei Wang, Ryan Shea, Jiannan Wang, Eugene Wu

SIGMOD Conference

2019

Detecting Data Errors with Statistical Constraints

J. Yan, O. Schulte, Jiannan Wang, Reynold Cheng

arXiv.org

2018

Cleaning Crowdsourced Labels Using Oracles For Statistical Classification

Mohamad Dolatshah, M. Teoh, Jiannan Wang, J. Pei

Proceedings of the VLDB Endowment

2018

AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics

Jinglin Peng, Dongxiang Zhang, Jiannan Wang, J. Pei

SIGMOD Conference

2018

SmartCrawl : Deep Web Crawling Driven By Data Enrichment

Pei Wang, Ryan Shea, Jiannan Wang, Eugene Wu, Simon Fraser

2018

Crowdsourcing Database Systems and Optimization

Guo-Liang Li, Jiannan Wang, Yudian Zheng, Ju Fan, M. Franklin

2018

A set of SCs Consistency Checking Hypothesis Testing Consistent SCs Dirty Dataset Error Drill Down Erroneous Columns Detected Errors CODED

J. Yan, O. Schulte, Jiannan Wang, Reynold Cheng, Simon Fraser

2018

Deeper: A Data Enrichment System Powered by Deep Web

Pei Wang, Yongjun He, Ryan Shea, Jiannan Wang, Eugene Wu

SIGMOD Conference

2018

Cleaning Crowdsourced Labels Using Oracles For Supervised Learning

Mohamad Dolatshah, M. Teoh, Jiannan Wang, J. Pei, Simon Fraser

2018

Crowd-Powered Data Mining

Cheng-Liang Chai, Ju Fan, Guoliang Li, Jiannan Wang, Yudian Zheng

arXiv.org

2018

Crowdsourced Data Management

Guo-Liang Li, Jiannan Wang, Yudian Zheng, Ju Fan, M. Franklin

Springer Singapore

2017

Preference-driven similarity join

Chuancong Gao, Jiannan Wang, J. Pei, Rui Li, Yi Chang

International Conference on Wirtschaftsinformatik

2017

Crowdsourced Data Management: A Survey

Guo-Liang Li, Jiannan Wang, Yudian Zheng, M. Franklin

IEEE International Conference on Data Engineering

2017

PreCog: Improving Crowdsourced Data Quality Before Acquisition

H. Nilforoshan, Jiannan Wang, Eugene Wu

arXiv.org

2017

Dependable Data Repairing with Fixing Rules

Jiannan Wang, N. Tang

ACM Journal of Data and Information Quality

2017

Crowdsourced Data Management: Overview and Challenges

Guo-Liang Li, Yudian Zheng, Ju Fan, Jiannan Wang, Reynold Cheng

SIGMOD Conference

2017

Schemaless Join for Result Set Preferences

Chuancong Gao, J. Pei, Jiannan Wang, Yi Chang

IEEE International Conference on Information Reuse and Integration

2016

Skipping-oriented Partitioning for Columnar Layouts

Liwen Sun, M. Franklin, Jiannan Wang, Eugene Wu

Proceedings of the VLDB Endowment

2016

ActiveClean: Interactive Data Cleaning For Statistical Modeling

S. Krishnan, Jiannan Wang, Eugene Wu, M. Franklin, Ken Goldberg

Proceedings of the VLDB Endowment

2016

ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning

S. Krishnan, M. Franklin, Ken Goldberg, Jiannan Wang, Eugene Wu

SIGMOD Conference

2016

PrivateClean: Data Cleaning and Differential Privacy

S. Krishnan, Jiannan Wang, M. Franklin, Ken Goldberg, Tim Kraska

SIGMOD Conference

2016

Reprowd: Crowdsourced Data Processing Made Reproducible

Ruo-Chen Jiang, Jiannan Wang

Conference on Innovative Data Systems Research

2016

Data Cleaning: Overview and Emerging Challenges

Xu Chu, Ihab F. Ilyas, S. Krishnan, Jiannan Wang

SIGMOD Conference

2015

Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views

S. Krishnan, Jiannan Wang, M. Franklin, Ken Goldberg, Tim Kraska

Proceedings of the VLDB Endowment

2015

Wisteria: Nurturing Scalable Data Cleaning Infrastructure

D. Haas, S. Krishnan, Jiannan Wang, M. Franklin, Eugene Wu

Proceedings of the VLDB Endowment

2015

CLAMShell: Speeding up Crowds for Low-latency Data Labeling

D. Haas, Jiannan Wang, Eugene Wu, M. Franklin

Proceedings of the VLDB Endowment

2015

QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications

Yudian Zheng, Jiannan Wang, Guo-Liang Li, Reynold Cheng, Jian-Hua Feng

SIGMOD Conference

2015

SampleClean: Fast and Reliable Analytics on Dirty Data

S. Krishnan, Jiannan Wang, M. Franklin, Ken Goldberg, Tim Kraska, Tova Milo, Eugene Wu

IEEE Data Engineering Bulletin

2014

Extending string similarity join to tolerant fuzzy token matching

Jiannan Wang, Guo-Liang Li, Jian-Hua Feng

ACM Transactions on Database Systems

2014

Hybrid Human-Machine Data Cleaning Systems

Jiannan Wang

2014

The Expected Optimal Labeling Order Problem for Crowdsourced Joins and Entity Resolution

Jiannan Wang, Guo-Liang Li, Tim Kraska, M. Franklin, Jian-Hua Feng

arXiv.org

2014

Towards dependable data repairing with fixing rules

Jiannan Wang, N. Tang

SIGMOD Conference

2014

MassJoin: A mapreduce-based method for scalable string similarity joins

Dong Deng, Guo-Liang Li, Shuang Hao, Jiannan Wang, Jian-Hua Feng

IEEE International Conference on Data Engineering

2014

A sample-and-clean framework for fast and accurate query processing on dirty data

Jiannan Wang, S. Krishnan, M. Franklin, Ken Goldberg, Tim Kraska, Tova Milo

SIGMOD Conference

2013

Leveraging transitive relations for crowdsourced joins

Jiannan Wang, Guo-Liang Li, Tim Kraska, M. Franklin, Jian-Hua Feng

ACM SIGMOD Conference

2013

Efficient parallel partition-based algorithms for similarity search and join with edit distance constraints

Yu Jiang, Dong Deng, Jiannan Wang, Guo-Liang Li, Jian-Hua Feng

International Conference on Extending Database Technology

2012

CrowdER: Crowdsourcing Entity Resolution

Jiannan Wang, Tim Kraska, M. Franklin, Jian-Hua Feng

Proceedings of the VLDB Endowment

2012

Supporting efficient top-k queries in type-ahead search

Guo-Liang Li, Jiannan Wang, Chen Li, Jian-Hua Feng

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

2012

Can we beat the prefix filtering?: an adaptive framework for similarity join and search

Jiannan Wang, Guo-Liang Li, Jian-Hua Feng

SIGMOD Conference

2012

Improving Data Management Applications Using Microtask Platforms

Jiannan Wang, R. Xin

Tiny Transactions on Computer Science

2011

PASS-JOIN: A Partition-based Method for Similarity Joins

Guo-Liang Li, Dong Deng, Jiannan Wang, Jian-Hua Feng

Proceedings of the VLDB Endowment

2011

Entity Matching: How Similar Is Similar

Jiannan Wang, Guo-Liang Li, J. Yu, Jian-Hua Feng

Proceedings of the VLDB Endowment

2011

DBease: Making Databases User-Friendly and Easily Accessible

Guoliang Li, Ju Fan, Hao Wu, Jiannan Wang, Jian-Hua Feng

Conference on Innovative Data Systems Research

2011

Fast-join: An efficient method for fuzzy token matching based string similarity join

Jiannan Wang, Guo-Liang Li, Jianhua Fe

IEEE International Conference on Data Engineering

2011

Trie-join: a trie-based method for efficient string similarity joins

Jian-Hua Feng, Jiannan Wang, Guo-Liang Li

The VLDB journal

2010

Trie-join

Jiannan Wang, Jian-Hua Feng, Guo-Liang Li

Proceedings of the VLDB Endowment

2010

Efficient fuzzy type-ahead search in TASTIER

Guo-Liang Li, S. Ji, Chen Li, Jiannan Wang, Jian-Hua Feng

IEEE International Conference on Data Engineering

2010

Interactive and fuzzy search: a dynamic way to explore MEDLINE

Jiannan Wang, Inci Cetindil, Shengyue Ji, Chen Li, Xiaohui S. Xie, Guoliang Li, Jianhua Feng

Bioinformatics

2009

Automatic URL completion and prediction using fuzzy type-ahead search

Jiannan Wang, Guo-Liang Li, Jian-Hua Feng, Chen Li

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

预印本

2026

ReviveMoE: Fast Recovery for Hardware Failures in Large-Scale MoE LLM Inference Deployments

Haley Li, Xinglu Wang, Cong Feng, Chunxu Zuo, Yanan Wang, Hei Lo, Yufei Cui, Bingji Wang, Duo Cui, Shuming Jing, Yizhou Shan, Ying Xiong, Jiannan Wang, Yong Zhang, Zhenan Fan

arXiv preprint

2025

Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights

Yifan Wu, Lutao Yan, Yizhang Zhu, Yenchi Tseng, Yinan Mei, Yong Wang, Jiannan Wang, Nan Tang, Yuyu Luo

arXiv preprint

2025

HFX: Joint Design of Algorithms and Systems for Multi-SLO Serving and Fast Scaling

Zahra Yousefijamarani, Xinglu Wang, Qian Wang, Morgan Lindsay Heisler, Taha Shabani, Niloofar Gholipour, Parham Yassini, Hong Chang, Kan Chen, Qiantao Zhang, Xiaolong Bai, Jiannan Wang, Ying Xiong, Yong Zhang, Zhenan Fan

arXiv preprint

2024

xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism

Jiarui Fang, Jinzhe Pan, Xibo Sun, Aoyu Li, Jiannan Wang

arXiv preprint

2024

PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference

Jiarui Fang, Jinzhe Pan, Aoyu Li, Xibo Sun, Jiannan Wang

arXiv preprint

研究方向

此主页由公开资料整理,尚未经学者本人认领。