Yeye He

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang

The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024

Preprint Project

Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations

Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri

SIGMOD 2024 | June 2024

Publication

Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks

Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri

SIGMOD 2024 | June 2024

Publication

Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph

Yiming Lin, Yeye He, Surajit Chaudhuri

VLDB 2023 | August 2023

Publication Project

Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples

Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri

VLDB 2023 | August 2023

Best Paper Award

Publication Project

Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines

Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri

KDD 2023 | August 2023

Publication Project

Ground Truth Inference for Weakly Supervised Entity Matching

Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He

SIGMOD 2023 | June 2023

Publication

Predicate Pushdown for Data Science Pipelines

Cong Yan, Yin Lin, Yeye He

SIGMOD | June 2023

Best Paper Award

Publication Project

PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication

Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri

VLDB 2022 | February 2022

Publication Project

Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search

Junwen Yang, Yeye He, Surajit Chaudhuri

VLDB 2021 | July 2021

Publication Project

Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples

Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri

SIGMOD 2021 | April 2021

Publication Author's Version Project

Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes

Jie Song, Yeye He

SIGMOD 2021 | April 2021

Publication Project

Auto-Transform: Learning-to-Transform by Patterns

Zhongjun Jin, Yeye He, Surajit Chaudhuri

International Conference on Very Large Databases (VLDB) | August 2020

Publication Project

Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks

Cong Yan, Yeye He

International Conference on Management of Data (SIGMOD) | June 2020

Publication Publication Project

Uni-Detect: A Unified Approach to Automated Error Detection in Tables

Pei Wang, Yeye He

International Conference on Management of Data (SIGMOD) | July 2019

Publication Project

Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning

Chen Zhao, Yeye He

WWW - World Wide Web Consortium (W3C) | May 2019

Publication Project

Transform-Data-by-Example: An Extensible Search Engine for Data Transformations

Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek Narrasayya, Surajit Chaudhuri

International Conference on Very Large Databases (VLDB) | June 2018

Publication

Auto-Detect: Data-Driven Error Detection in Tables

Zhipeng Huang, Yeye He

International Conference on Management of Data (SIGMOD) | June 2018

Publication Project

Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code

Cong Yan, Yeye He

International Conference on Management of Data (SIGMOD) | June 2018

Publication Project

Discovering Enterprise Concepts Using Spreadsheet Tables

Keqian Li, Yeye He, Kris Ganjam

SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | August 2017

Publication

Auto-Join: Joining Tables by Leveraging Transformations

Erkang Zhu, Yeye He, Surajit Chaudhuri

International Conference on Very Large Databases (VLDB) | May 2017

Publication Publication Project Project

Auto-Map: Synthesizing Mapping Relationships Using Table Corpus

Yue Wang, Yeye He

International Conference on Management of Data (SIGMOD) | May 2017

Publication Publication Publication Project Project Project

Data Services Leveraging Bing’s Data Assets

Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He

September 2016

Publication

Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora

Yeye He, Kaushik Chakrabarti, Tomasz Tylenda

WWW - World Wide Web Consortium (W3C) | April 2016

Publication Project

SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora

Yeye He, Kris Ganjam, Xu Chu

International Conference on Very Large Databases (VLDB) | June 2015

Publication Project

Concept Expansion Using Web Tables

Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Phil Bernstein

Proceeding of 2015 International World Wide Web Conference | May 2015

PDF Publication Project

TEGRA: Table Extraction by Global Record Alignment

Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam

International Conference on Management of Data (SIGMOD) | May 2015

Publication Publication Publication Project

ClusterJoin: A Similarity Joins Framework using Map-Reduce

Akash Das Sarma, Yeye He, Surajit Chaudhuri

Proceedings of International Conference on Very Large Databases (VLDB) | September 2014

Proceedings of International Conference on Very Large Databases (VLDB)

Publication Publication Project

On Load Shedding in Complex Event Processing

Yeye He, Siddharth Barman, Jeffrey Naughton

Proceedings of International Conference on Database Theory (ICDT) | March 2014

Publication

Mining Acronym Expansions and Their Meanings Using Query Click Log

Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He

May 2013

Publication Publication Project Project

Crawling Deep-web Entity Pages

Yeye He, Dong Xin, Venkatesh Ganti, Sriram Rajaraman

Proceedings of International Conference on Web Search and Data Mining (WSDM) | January 2013

Publication

Utility-Maximizing Event Stream Suppression

Di Wang, Yeye He, Elke Rundensteiner, Jeffrey Naughton

Proceedings of International Conference on Management of Data (SIGMOD) | January 2013

Publication

SEISA: Set Expansion by Iterative Similarity Aggregation

Yeye He, Dong Xin

Proceedings of International World Wide Web Conference (WWW) | April 2011

Publication Project

On the Complexity of Privacy-Preserving Complex Event Processing

Yeye He, Siddharth Barman, Di Wang, Jeffery Naughton

Proceedings of the Principles of Database Systems (PODS) | January 2011

Proceedings of the Principles of Database Systems (PODS)

Publication

Preventing Equivalence Attacks in Updated, Anonymized Data

Yeye He, Siddharth Barman, Jeffrey Naughton

Proceedings of International Conference on Data Engineering (ICDE) | January 2011

Publication Publication

Keyword++: A Framework to Improve Keyword Search Over Entity Databases

Venkatesh Ganti, Yeye He, Dong Xin

Proceedings of International Conference on Very Large Databases (VLDB) | January 2010

Publication Project

Anonymization of Set Valued Data via Top Down, Local Generalization

Yeye He, Jeffrey Naughton

Proceedings of International Conference on Very Large Database (VLDB) | January 2009

Publication

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang

The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024

Preprint Project

Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks

Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri

SIGMOD 2024 | June 2024

Publication

Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations

Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri

SIGMOD 2024 | June 2024

Publication

Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples

Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri

VLDB 2023 | August 2023

Best Paper Award

Publication Project

Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines

Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri

KDD 2023 | August 2023

Publication Project

Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph

Yiming Lin, Yeye He, Surajit Chaudhuri

VLDB 2023 | August 2023

Publication Project

Ground Truth Inference for Weakly Supervised Entity Matching

Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He

SIGMOD 2023 | June 2023

Publication

Predicate Pushdown for Data Science Pipelines

Cong Yan, Yin Lin, Yeye He

SIGMOD | June 2023

Best Paper Award

Publication Project

PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication

Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri

VLDB 2022 | February 2022

Publication Project

Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search

Junwen Yang, Yeye He, Surajit Chaudhuri

VLDB 2021 | July 2021

Publication Project

Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes

Jie Song, Yeye He

SIGMOD 2021 | April 2021

Publication Project

Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples

Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri

SIGMOD 2021 | April 2021

Publication Author's Version Project

Auto-Transform: Learning-to-Transform by Patterns

Zhongjun Jin, Yeye He, Surajit Chaudhuri

International Conference on Very Large Databases (VLDB) | August 2020

Publication Project

Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks

Cong Yan, Yeye He

International Conference on Management of Data (SIGMOD) | June 2020

Publication Publication Project

Uni-Detect: A Unified Approach to Automated Error Detection in Tables

Pei Wang, Yeye He

International Conference on Management of Data (SIGMOD) | July 2019

Publication Project

Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning

Chen Zhao, Yeye He

WWW - World Wide Web Consortium (W3C) | May 2019

Publication Project

Transform-Data-by-Example: An Extensible Search Engine for Data Transformations

Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek Narrasayya, Surajit Chaudhuri

International Conference on Very Large Databases (VLDB) | June 2018

Publication

Auto-Detect: Data-Driven Error Detection in Tables

Zhipeng Huang, Yeye He

International Conference on Management of Data (SIGMOD) | June 2018

Publication Project

Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code

Cong Yan, Yeye He

International Conference on Management of Data (SIGMOD) | June 2018

Publication Project

Discovering Enterprise Concepts Using Spreadsheet Tables

Keqian Li, Yeye He, Kris Ganjam

SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | August 2017

Publication

Auto-Join: Joining Tables by Leveraging Transformations

Erkang Zhu, Yeye He, Surajit Chaudhuri

International Conference on Very Large Databases (VLDB) | May 2017

Publication Publication Project Project

Auto-Map: Synthesizing Mapping Relationships Using Table Corpus

Yue Wang, Yeye He

International Conference on Management of Data (SIGMOD) | May 2017

Publication Publication Publication Project Project Project

Data Services Leveraging Bing’s Data Assets

Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He

September 2016

Publication

Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora

Yeye He, Kaushik Chakrabarti, Tomasz Tylenda

WWW - World Wide Web Consortium (W3C) | April 2016

Publication Project

SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora

Yeye He, Kris Ganjam, Xu Chu

International Conference on Very Large Databases (VLDB) | June 2015

Publication Project

Concept Expansion Using Web Tables

Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Phil Bernstein

Proceeding of 2015 International World Wide Web Conference | May 2015

PDF Publication Project

TEGRA: Table Extraction by Global Record Alignment

Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam

International Conference on Management of Data (SIGMOD) | May 2015

Publication Publication Publication Project

ClusterJoin: A Similarity Joins Framework using Map-Reduce

Akash Das Sarma, Yeye He, Surajit Chaudhuri

Proceedings of International Conference on Very Large Databases (VLDB) | September 2014

Proceedings of International Conference on Very Large Databases (VLDB)

Publication Publication Project

On Load Shedding in Complex Event Processing

Yeye He, Siddharth Barman, Jeffrey Naughton

Proceedings of International Conference on Database Theory (ICDT) | March 2014

Publication

Utility-Maximizing Event Stream Suppression

Di Wang, Yeye He, Elke Rundensteiner, Jeffrey Naughton

Proceedings of International Conference on Management of Data (SIGMOD) | January 2013

Publication

Crawling Deep-web Entity Pages

Yeye He, Dong Xin, Venkatesh Ganti, Sriram Rajaraman

Proceedings of International Conference on Web Search and Data Mining (WSDM) | January 2013

Publication

SEISA: Set Expansion by Iterative Similarity Aggregation

Yeye He, Dong Xin

Proceedings of International World Wide Web Conference (WWW) | April 2011

Publication Project

Preventing Equivalence Attacks in Updated, Anonymized Data

Yeye He, Siddharth Barman, Jeffrey Naughton

Proceedings of International Conference on Data Engineering (ICDE) | January 2011

Publication Publication

On the Complexity of Privacy-Preserving Complex Event Processing

Yeye He, Siddharth Barman, Di Wang, Jeffery Naughton

Proceedings of the Principles of Database Systems (PODS) | January 2011

Proceedings of the Principles of Database Systems (PODS)

Publication

Keyword++: A Framework to Improve Keyword Search Over Entity Databases

Venkatesh Ganti, Yeye He, Dong Xin

Proceedings of International Conference on Very Large Databases (VLDB) | January 2010

Publication Project

Anonymization of Set Valued Data via Top Down, Local Generalization

Yeye He, Jeffrey Naughton

Proceedings of International Conference on Very Large Database (VLDB) | January 2009

Publication

Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks

Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri

SIGMOD 2024 | June 2024

Publication

Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations

Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri

SIGMOD 2024 | June 2024

Publication

PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication

Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri

VLDB 2022 | February 2022

Publication Project

Concept Expansion Using Web Tables

Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Phil Bernstein

Proceeding of 2015 International World Wide Web Conference | May 2015

PDF Publication Project

Mining Acronym Expansions and Their Meanings Using Query Click Log

Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He

May 2013

Publication Publication Project Project

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang

The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024

Preprint Project

Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks

Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri

SIGMOD 2024 | June 2024

Publication

Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations

Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri

SIGMOD 2024 | June 2024

Publication

Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples

Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri

VLDB 2023 | August 2023

Best Paper Award

Publication Project

Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines

Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri

KDD 2023 | August 2023

Publication Project

Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph

Yiming Lin, Yeye He, Surajit Chaudhuri

VLDB 2023 | August 2023

Publication Project

Ground Truth Inference for Weakly Supervised Entity Matching

Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He

SIGMOD 2023 | June 2023

Publication

Predicate Pushdown for Data Science Pipelines

Cong Yan, Yin Lin, Yeye He

SIGMOD | June 2023

Best Paper Award

Publication Project

PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication

Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri

VLDB 2022 | February 2022

Publication Project

Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search

Junwen Yang, Yeye He, Surajit Chaudhuri

VLDB 2021 | July 2021

Publication Project

Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes

Jie Song, Yeye He

SIGMOD 2021 | April 2021

Publication Project

Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples

Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri

SIGMOD 2021 | April 2021

Publication Author's Version Project

Auto-Transform: Learning-to-Transform by Patterns

Zhongjun Jin, Yeye He, Surajit Chaudhuri

International Conference on Very Large Databases (VLDB) | August 2020

Publication Project

Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks

Cong Yan, Yeye He

International Conference on Management of Data (SIGMOD) | June 2020

Publication Publication Project

Uni-Detect: A Unified Approach to Automated Error Detection in Tables

Pei Wang, Yeye He

International Conference on Management of Data (SIGMOD) | July 2019

Publication Project

Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning

Chen Zhao, Yeye He

WWW - World Wide Web Consortium (W3C) | May 2019

Publication Project

Transform-Data-by-Example: An Extensible Search Engine for Data Transformations

Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek Narrasayya, Surajit Chaudhuri

International Conference on Very Large Databases (VLDB) | June 2018

Publication

Auto-Detect: Data-Driven Error Detection in Tables

Zhipeng Huang, Yeye He

International Conference on Management of Data (SIGMOD) | June 2018

Publication Project

Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code

Cong Yan, Yeye He

International Conference on Management of Data (SIGMOD) | June 2018

Publication Project

Discovering Enterprise Concepts Using Spreadsheet Tables

Keqian Li, Yeye He, Kris Ganjam

SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) | August 2017

Publication

Auto-Join: Joining Tables by Leveraging Transformations

Erkang Zhu, Yeye He, Surajit Chaudhuri

International Conference on Very Large Databases (VLDB) | May 2017

Publication Publication Project Project

Auto-Map: Synthesizing Mapping Relationships Using Table Corpus

Yue Wang, Yeye He

International Conference on Management of Data (SIGMOD) | May 2017

Publication Publication Publication Project Project Project

Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora

Yeye He, Kaushik Chakrabarti, Tomasz Tylenda

WWW - World Wide Web Consortium (W3C) | April 2016

Publication Project

SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora

Yeye He, Kris Ganjam, Xu Chu

International Conference on Very Large Databases (VLDB) | June 2015

Publication Project

Concept Expansion Using Web Tables

Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Phil Bernstein

Proceeding of 2015 International World Wide Web Conference | May 2015

PDF Publication Project

TEGRA: Table Extraction by Global Record Alignment

Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam

International Conference on Management of Data (SIGMOD) | May 2015

Publication Publication Publication Project

ClusterJoin: A Similarity Joins Framework using Map-Reduce

Akash Das Sarma, Yeye He, Surajit Chaudhuri

Proceedings of International Conference on Very Large Databases (VLDB) | September 2014

Proceedings of International Conference on Very Large Databases (VLDB)

Publication Publication Project

On Load Shedding in Complex Event Processing

Yeye He, Siddharth Barman, Jeffrey Naughton

Proceedings of International Conference on Database Theory (ICDT) | March 2014

Publication

Mining Acronym Expansions and Their Meanings Using Query Click Log

Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He

May 2013

Publication Publication Project Project

Utility-Maximizing Event Stream Suppression

Di Wang, Yeye He, Elke Rundensteiner, Jeffrey Naughton

Proceedings of International Conference on Management of Data (SIGMOD) | January 2013

Publication

Crawling Deep-web Entity Pages

Yeye He, Dong Xin, Venkatesh Ganti, Sriram Rajaraman

Proceedings of International Conference on Web Search and Data Mining (WSDM) | January 2013

Publication

SEISA: Set Expansion by Iterative Similarity Aggregation

Yeye He, Dong Xin

Proceedings of International World Wide Web Conference (WWW) | April 2011

Publication Project

Preventing Equivalence Attacks in Updated, Anonymized Data

Yeye He, Siddharth Barman, Jeffrey Naughton

Proceedings of International Conference on Data Engineering (ICDE) | January 2011

Publication Publication

On the Complexity of Privacy-Preserving Complex Event Processing

Yeye He, Siddharth Barman, Di Wang, Jeffery Naughton

Proceedings of the Principles of Database Systems (PODS) | January 2011

Proceedings of the Principles of Database Systems (PODS)

Publication

Keyword++: A Framework to Improve Keyword Search Over Entity Databases

Venkatesh Ganti, Yeye He, Dong Xin

Proceedings of International Conference on Very Large Databases (VLDB) | January 2010

Publication Project

Anonymization of Set Valued Data via Top Down, Local Generalization

Yeye He, Jeffrey Naughton

Proceedings of International Conference on Very Large Database (VLDB) | January 2009

Publication

Data Services Leveraging Bing’s Data Assets

Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He

September 2016

Publication