HYDRAstor: A Scalable Secondary Storage. - Cezary Dubnicki; Leszek Gryz; Lukasz Heldt; Michal Kaczmarczyk; Wojciech Kilian; Przemyslaw Strzelczak; Jerzy Szczepkowski; Cristian Ungureanu; Michal Welnicki (FAST, 2009)

Anchor-driven subchunk deduplication. - Bartlomiej Romanski; Lukasz Heldt; Wojciech Kilian; Krzysztof Lichota; Cezary Dubnicki (SYSTOR, 2011)

Fuzzy adaptive control for heterogeneous tasks in high-performance storage systems. - Piotr Skowron 001; Marek Tomasz Biskup; Lukasz Heldt; Cezary Dubnicki (SYSTOR, 2013)

Fairness in Recommendation Ranking through Pairwise Comparisons. - Alex Beutel; Jilin Chen; Tulsee Doshi; Hai Qian; Li Wei; Yi Wu; Lukasz Heldt; Zhe Zhao 001; Lichan Hong; Ed H. Chi; Cristos Goodrow (KDD, 2019)

Sampling-bias-corrected neural modeling for large corpus item recommendations. - Xinyang Yi; Ji Yang; Lichan Hong; Derek Zhiyuan Cheng; Lukasz Heldt; Aditee Kumthekar; Zhe Zhao 001; Li Wei; Ed H. Chi (RecSys, 2019)

Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations. - Flavien Prost; Ben Packer; Jilin Chen; Li Wei; Pierre Kremp; Nick Blumm; Susan Wang; Tulsee Doshi; Tonia Osadebe; Lukasz Heldt; Ed H. Chi; Alex Beutel (CoRR, 2022)

Recommender Systems with Generative Retrieval. - Shashank Rajput; Nikhil Mehta 002; Anima Singh; Raghunandan Hulikal Keshavan; Trung Vu 002; Lukasz Heldt; Lichan Hong; Yi Tay; Vinh Q. Tran 002; Jonah Samost; Maciej Kula; Ed H. Chi; et al. (NeurIPS, 2023)

Online Matching: A Real-time Bandit System for Large-scale Recommendations. - Xinyang Yi; Shao-Chuan Wang; Ruining He; Hariharan Chandrasekaran; Charles Wu; Lukasz Heldt; Lichan Hong; Minmin Chen; Ed H. Chi (RecSys, 2023)

Value of Exploration: Measurements, Findings and Algorithms. - Yi Su; Xiangyu Wang; Elaine Ya Le; Liang Liu 017; Yuening Li; Haokai Lu; Benjamin Lipshitz; Sriraj Badam; Lukasz Heldt; Shuchao Bi; Ed H. Chi; Cristos Goodrow; et al. (CoRR, 2023)

Better Generalization with Semantic IDs: A case study in Ranking for Recommendations. - Anima Singh; Trung Vu 002; Raghunandan H. Keshavan; Nikhil Mehta 002; Xinyang Yi; Lichan Hong; Lukasz Heldt; Li Wei; Ed H. Chi; Maheswaran Sathiamoorthy (CoRR, 2023)

Aligning Large Language Models with Recommendation Knowledge. - Yuwei Cao; Nikhil Mehta 002; Xinyang Yi; Raghunandan Hulikal Keshavan; Lukasz Heldt; Lichan Hong; Ed H. Chi; Maheswaran Sathiamoorthy (NAACL-HLT (Findings), 2024)

Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations. - Anima Singh; Trung Vu 002; Nikhil Mehta 002; Raghunandan H. Keshavan; Maheswaran Sathiamoorthy; Yilin Zheng; Lichan Hong; Lukasz Heldt; Li Wei; Devansh Tandon; Ed H. Chi; Xinyang Yi (RecSys, 2024)

Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction. - Yi Wu; Daryl Chang; Jennifer She; Zhe Zhao 001; Li Wei; Lukasz Heldt (RecSys, 2024)

Long-Term Value of Exploration: Measurements, Findings and Algorithms. - Yi Su; Xiangyu Wang; Elaine Ya Le; Liang Liu 017; Yuening Li; Haokai Lu; Benjamin Lipshitz; Sriraj Badam; Lukasz Heldt; Shuchao Bi; Ed H. Chi; Cristos Goodrow; et al. (WSDM, 2024)