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2020 – today
- 2024
[j19]Sibei Chen
, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri:
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations. Proc. ACM Manag. Data 2(3): 122 (2024)- [j18]Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri:
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks. Proc. ACM Manag. Data 2(3): 176 (2024) - [j17]Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri:
Auto-Tables: Relationalize Tables without Using Examples. SIGMOD Rec. 53(1): 76-85 (2024) - [c22]Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang:
Encoding Spreadsheets for Large Language Models. EMNLP 2024: 20728-20748 - [i15]Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri:
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations. CoRR abs/2404.12608 (2024) - [i14]Shiyu Xia, Junyu Xiong, Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Mengyu Zhou, Yeye He, Shi Han, Dongmei Zhang:
Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities. CoRR abs/2405.16234 (2024) - [i13]Yuzhang Tian, Jianbo Zhao, Haoyu Dong, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang:
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models. CoRR abs/2407.09025 (2024) - 2023
- [j16]Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He:
Ground Truth Inference for Weakly Supervised Entity Matching. Proc. ACM Manag. Data 1(1): 32:1-32:28 (2023) - [j15]Cong Yan, Yin Lin, Yeye He:
Predicate Pushdown for Data Science Pipelines. Proc. ACM Manag. Data 1(2): 136:1-136:28 (2023) - [j14]Yiming Lin, Yeye He, Surajit Chaudhuri:
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph. Proc. VLDB Endow. 16(10): 2578-2590 (2023) - [j13]Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri:
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples. Proc. VLDB Endow. 16(11): 3391-3403 (2023) - [c21]Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri:
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines. KDD 2023: 4991-5003 - [i12]Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri:
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines. CoRR abs/2306.02421 (2023) - [i11]Yiming Lin, Yeye He, Surajit Chaudhuri:
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph. CoRR abs/2306.12515 (2023) - [i10]Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri:
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples. CoRR abs/2307.14565 (2023) - [i9]Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri:
Table-GPT: Table-tuned GPT for Diverse Table Tasks. CoRR abs/2310.09263 (2023) - 2022
- [j12]Yue Wang, Vivek R. Narasayya, Yeye He, Surajit Chaudhuri:
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication. Proc. VLDB Endow. 15(6): 1132-1145 (2022) - [i8]Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He:
Ground Truth Inference for Weakly Supervised Entity Matching. CoRR abs/2211.06975 (2022) - 2021
- [j11]Junwen Yang, Yeye He, Surajit Chaudhuri:
Auto-Pipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search. Proc. VLDB Endow. 14(11): 2563-2575 (2021) - [j10]Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He:
Demonstration of Panda: A Weakly Supervised Entity Matching System. Proc. VLDB Endow. 14(12): 2735-2738 (2021) - [c20]Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. SIGMOD Conference 2021: 1064-1076 - [c19]Jie Song, Yeye He:
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes. SIGMOD Conference 2021: 1678-1691 - [i7]Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. CoRR abs/2103.04489 (2021) - [i6]Jie Song, Yeye He:
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes. CoRR abs/2104.04659 (2021) - [i5]Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He:
Demonstration of Panda: A Weakly Supervised Entity Matching System. CoRR abs/2106.10821 (2021) - [i4]Junwen Yang, Yeye He, Surajit Chaudhuri:
AutoPipeline: Synthesize Data Pipelines By-Target Using Reinforcement Learning and Search. CoRR abs/2106.13861 (2021) - [i3]Yeye He, Jie Song, Yue Wang, Surajit Chaudhuri, Vishal Anil, Blake Lassiter, Yaron Goland, Gaurav Malhotra:
Auto-Tag: Tagging-Data-By-Example in Data Lakes. CoRR abs/2112.06049 (2021) - 2020
- [j9]Yeye He, Zhongjun Jin, Surajit Chaudhuri:
Auto-Transform: Learning-to-Transform by Patterns. Proc. VLDB Endow. 13(11): 2368-2381 (2020) - [c18]Cong Yan, Yeye He:
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks. SIGMOD Conference 2020: 1539-1554
2010 – 2019
- 2019
- [c17]Pei Wang, Yeye He:
Uni-Detect: A Unified Approach to Automated Error Detection in Tables. SIGMOD Conference 2019: 811-828 - [c16]Chen Zhao, Yeye He:
Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning. WWW 2019: 2413-2424 - 2018
- [j8]Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek R. Narasayya, Surajit Chaudhuri:
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations. Proc. VLDB Endow. 11(10): 1165-1177 (2018) - [c15]Cong Yan, Yeye He:
Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code. SIGMOD Conference 2018: 35-50 - [c14]Zhipeng Huang, Yeye He:
Auto-Detect: Data-Driven Error Detection in Tables. SIGMOD Conference 2018: 1377-1392 - [c13]Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng:
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel. SIGMOD Conference 2018: 1785-1788 - 2017
- [j7]Erkang Zhu, Yeye He, Surajit Chaudhuri:
Auto-Join: Joining Tables by Leveraging Transformations. Proc. VLDB Endow. 10(10): 1034-1045 (2017) - [c12]Keqian Li, Yeye He, Kris Ganjam:
Discovering Enterprise Concepts Using Spreadsheet Tables. KDD 2017: 1873-1882 - [c11]Yue Wang, Yeye He:
Synthesizing Mapping Relationships Using Table Corpus. SIGMOD Conference 2017: 1117-1132 - [i2]Yue Wang, Yeye He:
Synthesizing Mapping Relationships Using Table Corpus. CoRR abs/1705.09276 (2017) - 2016
- [j6]Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He:
Data services leveraging Bing's data assets. IEEE Data Eng. Bull. 39(3): 15-28 (2016) - [c10]Yeye He, Kaushik Chakrabarti, Tao Cheng, Tomasz Tylenda:
Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora. WWW 2016: 1429-1439 - 2015
- [j5]Yeye He, Kris Ganjam, Xu Chu:
SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora. Proc. VLDB Endow. 8(12): 1358-1369 (2015) - [j4]Eli Cortez, Philip A. Bernstein, Yeye He, Lev Novik:
Annotating Database Schemas to Help Enterprise Search. Proc. VLDB Endow. 8(12): 1936-1939 (2015) - [c9]Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam:
TEGRA: Table Extraction by Global Record Alignment. SIGMOD Conference 2015: 1713-1728 - [c8]Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Philip A. Bernstein:
Concept Expansion Using Web Tables. WWW 2015: 1198-1208 - 2014
- [j3]Akash Das Sarma, Yeye He, Surajit Chaudhuri:
ClusterJoin: A Similarity Joins Framework using Map-Reduce. Proc. VLDB Endow. 7(12): 1059-1070 (2014) - [c7]Yeye He, Siddharth Barman, Jeffrey F. Naughton:
On Load Shedding in Complex Event Processing. ICDT 2014: 213-224 - 2013
- [c6]Di Wang, Yeye He, Elke A. Rundensteiner, Jeffrey F. Naughton:
Utility-maximizing event stream suppression. SIGMOD Conference 2013: 589-600 - [c5]Yeye He, Dong Xin, Venkatesh Ganti, Sriram Rajaraman, Nirav Shah:
Crawling deep web entity pages. WSDM 2013: 355-364 - [c4]Bilyana Taneva, Tao Cheng, Kaushik Chakrabarti, Yeye He:
Mining acronym expansions and their meanings using query click log. WWW 2013: 1261-1272 - [i1]Yeye He, Siddharth Barman, Jeffrey F. Naughton:
On Load Shedding in Complex Event Processing. CoRR abs/1312.4283 (2013) - 2011
- [c3]Yeye He, Siddharth Barman, Jeffrey F. Naughton:
Preventing equivalence attacks in updated, anonymized data. ICDE 2011: 529-540 - [c2]Yeye He, Siddharth Barman, Di Wang, Jeffrey F. Naughton:
On the complexity of privacy-preserving complex event processing. PODS 2011: 165-174 - [c1]Yeye He, Dong Xin:
SEISA: set expansion by iterative similarity aggregation. WWW 2011: 427-436 - 2010
- [j2]Dong Xin, Yeye He, Venkatesh Ganti:
Keyword++: A Framework to Improve Keyword Search Over Entity Databases. Proc. VLDB Endow. 3(1): 711-722 (2010)
2000 – 2009
- 2009
- [j1]Yeye He, Jeffrey F. Naughton:
Anonymization of Set-Valued Data via Top-Down, Local Generalization. Proc. VLDB Endow. 2(1): 934-945 (2009)
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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