AutoDict: Automated Dictionary Discovery. - Fei Chiang; Periklis Andritsos; Erkang Zhu; Renée J. Miller (ICDE, 2012)

LinkedCT Live: Platform for Online Curation of Clinical Trials Data. - Oktie Hassanzadeh; Renée J. Miller; Fatemeh Nargesian; Erkang Zhu (ISWC (Posters & Demos), 2015)

Searching Web Data using MinHash LSH. - BiChen Rao; Erkang Zhu (SIGMOD Conference, 2016)

LSH Ensemble: Internet-Scale Domain Search. - Erkang Zhu; Fatemeh Nargesian; Ken Q. Pu; Renée J. Miller (Proc. VLDB Endow., 2016)

Auto-Join: Joining Tables by Leveraging Transformations. - Erkang Zhu; Yeye He; Surajit Chaudhuri (Proc. VLDB Endow., 2017)

Interactive Navigation of Open Data Linkages. - Erkang Zhu; Ken Q. Pu; Fatemeh Nargesian; Renée J. Miller (Proc. VLDB Endow., 2017)

Optimizing Organizations for Navigating Data Lakes. - Fatemeh Nargesian; Ken Q. Pu; Erkang Zhu; Bahar Ghadiri Bashardoost; Renée J. Miller (CoRR, 2018)

Making Open Data Transparent: Data Discovery on Open Data. - Renée J. Miller; Fatemeh Nargesian; Erkang Zhu; Christina Christodoulakis; Ken Q. Pu; Periklis Andritsos (IEEE Data Eng. Bull., 2018)

Table Union Search on Open Data. - Fatemeh Nargesian; Erkang Zhu; Ken Q. Pu; Renée J. Miller (Proc. VLDB Endow., 2018)

JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes. - Erkang Zhu; Dong Deng 001; Fatemeh Nargesian; Renée J. Miller (SIGMOD Conference, 2019)

VISE: Vehicle Image Search Engine with Traffic Camera. - Hyewon Choi; Erkang Zhu; Arsala Bangash; Renée J. Miller (Proc. VLDB Endow., 2019)

Data Lake Management: Challenges and Opportunities. - Fatemeh Nargesian; Erkang Zhu; Renée J. Miller; Ken Q. Pu; Patricia C. Arocena (Proc. VLDB Endow., 2019)

Search and Join Algorithms for Tables in Data Lakes. - Erkang Zhu (2019)

Organizing Data Lakes for Navigation. - Fatemeh Nargesian; Ken Q. Pu; Erkang Zhu; Bahar Ghadiri Bashardoost; Renée J. Miller (SIGMOD Conference, 2020)

Parallelizing Filter-Verification Based Exact Set Similarity Joins on Multicores. - Fabian Fier; Tianzheng Wang 001; Erkang Zhu; Johann-Christoph Freytag (SISAP, 2020)

FLAML: A Fast and Lightweight AutoML Library. - Chi Wang 001; Qingyun Wu; Markus Weimer; Erkang Zhu (MLSys, 2021)

RONIN: Data Lake Exploration. - Paul Ouellette; Aidan Sciortino; Fatemeh Nargesian; Bahar Ghadiri Bashardoost; Erkang Zhu; Ken Q. Pu; Renée J. Miller (Proc. VLDB Endow., 2021)

Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data. - Ankita Sharma; Xuanmao Li; Hong Guan; Guoxin Sun; Liang Zhang; Lanjun Wang; Kesheng Wu; Lei Cao; Erkang Zhu; Alexander Sim; Teresa Wu; Jia Zou 001 (IEEE Big Data, 2023)

An Empirical Study on Challenging Math Problem Solving with GPT-4. - Yiran Wu; Feiran Jia; Shaokun Zhang; Hangyu Li; Erkang Zhu; Yue Wang; Yin Tat Lee; Richard Peng; Qingyun Wu; Chi Wang 001 (CoRR, 2023)

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. - Qingyun Wu; Gagan Bansal; Jieyu Zhang 001; Yiran Wu; Shaokun Zhang; Erkang Zhu; Beibin Li; Li Jiang; Xiaoyun Zhang; Chi Wang 001 (CoRR, 2023)

T-Rex: Optimizing Pattern Search on Time Series. - Silu Huang; Erkang Zhu; Surajit Chaudhuri; Leonhard Spiegelberg (Proc. ACM Manag. Data, 2023)

High-Performance Row Pattern Recognition Using Joins. - Erkang Zhu; Silu Huang; Surajit Chaudhuri (Proc. VLDB Endow., 2023)

Data Lake Organization. - Fatemeh Nargesian; Ken Q. Pu; Bahar Ghadiri Bashardoost; Erkang Zhu; Renée J. Miller (IEEE Trans. Knowl. Data Eng., 2023)

AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems. - Victor Dibia; Jingya Chen; Gagan Bansal; Suff Syed; Adam Fourney; Erkang Zhu; Chi Wang 001; Saleema Amershi (CoRR, 2024)

Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks. - Adam Fourney; Gagan Bansal; Hussein Mozannar; Cheng Tan; Eduardo Salinas; Erkang Zhu; Friederike Niedtner; Grace Proebsting; Griffin Bassman; Jack Gerrits; Jacob Alber; Peter Chang; et al. (CoRR, 2024)

Interactive Debugging and Steering of Multi-Agent AI Systems. - Will Epperson; Gagan Bansal; Victor C. Dibia; Adam Fourney; Jack Gerrits; Erkang (Eric) Zhu; Saleema Amershi (CHI, 2025)

Optimizing Sequential Multi-Step Tasks with Parallel LLM Agents. - Enhao Zhang; Erkang Zhu; Gagan Bansal; Adam Fourney; Hussein Mozannar; Jack Gerrits (CoRR, 2025)