A Wireless Network Coding Scheme with Forward Error Correction Code in Wireless Mesh Networks. - Jeong-Yoon Lee; Woo-Jae Kim; Joo-Young Baek; Young-Joo Suh (GLOBECOM, 2009)

Multihop Transmission Opportunity in Wireless Multihop Networks. - Chansu Yu; Tianning Shen; Kang G. Shin; Jeong-Yoon Lee; Young-Joo Suh (INFOCOM, 2010)

An elastic compensation model for frame-based scheduling algorithms in wireless networks. - Joo-Young Baek; Jeong-Yoon Lee; Young-Joo Suh (Comput. Networks, 2013)

Maximizing Transmission Opportunities in Wireless Multihop Networks. - Jeong-Yoon Lee; Chansu Yu; Kang G. Shin; Young-Joo Suh (IEEE Trans. Mob. Comput., 2013)

Optimal Schedules in Multitask Motor Learning. - Jeong-Yoon Lee; Youngmin Oh; Sung Shin Kim; Robert A. Scheidt; Nicolas Schweighofer (Neural Comput., 2016)

Learning event count models with application to affiliation ranking. - Tam T. Nguyen; Ebrahim Bagheri; Jeong-Yoon Lee; Hang Li; Mert Bay; Song Chen (CASCON, 2017)

Benchmarks and Process Management in Data Science: Will We Ever Get Over the Mess? - Usama M. Fayyad; Arno Candel; Eduardo Ariño de la Rubia; Szilárd Pafka; Anthony Chong; Jeong-Yoon Lee (KDD, 2017)

CausalML: Python Package for Causal Machine Learning. - Huigang Chen; Totte Harinen; Jeong-Yoon Lee; Mike Yung; Zhenyu Zhao (CoRR, 2020)

Adversarial Validation Approach to Concept Drift Problem in Automated Machine Learning Systems. - Jing Pan; Vincent Pham; Mohan Dorairaj; Huigang Chen; Jeong-Yoon Lee (CoRR, 2020)

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber. - Vasilis Syrgkanis; Greg Lewis; Miruna Oprescu; Maggie Hei; Keith Battocchi; Eleanor Dillon; Jing Pan; Yifeng Wu; Paul Lo; Huigang Chen; Totte Harinen; Jeong-Yoon Lee (KDD, 2021)

Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. - Jeong-Yoon Lee; Yifeng Wu; Keith Battocchi; Fabio Vera; Zhenyu Zhao; Totte Harinen; Jing Pan; Huigang Chen; Zeyu Zheng; Chu Wang; Yingfei Wang; Xinwei Ma (KDD, 2023)

2nd Workshop on Causal Inference and Machine Learning in Practice. - Jeong-Yoon Lee; Yifeng Wu; Totte Harinen; Jing Pan; Paul Lo; Zhenyu Zhao; Huigang Chen; Zeyu Zheng; Hasta Vanchinathan; Yingfei Wang; Roland Stevenson (KDD, 2024)