Multi-Edge-Type Low-Density Parity-Check Codes for Bandwidth-Efficient Modulation. - Lei M. Zhang; Frank R. Kschischang (IEEE Trans. Commun., 2013)

Spatially-coupled split-component codes with bounded-distance component decoding. - Lei M. Zhang; Dmitri V. Truhachev; Frank R. Kschischang (ISIT, 2015)

Decoding analysis accounting for mis-corrections for spatially-coupled split-component codes. - Dmitri V. Truhachev; Alireza Karami; Lei M. Zhang; Frank R. Kschischang (ISIT, 2016)

Feed-Forward Staircase Codes. - Lei M. Zhang; Laurent Schmalen (CoRR, 2016)

Complexity-optimized concatenated LDGM-staircase codes. - Lei M. Zhang; Frank R. Kschischang (ISIT, 2017)

Distributed rate-adaptive staircase codes for connectionless optical metro networks. - Laurent Schmalen; Lei M. Zhang; Ulrich Gebhard (OFC, 2017)

Key Reconciliation with Low-Density Parity-Check Codes for Long-Distance Quantum Cryptography. - Mario Milicevic; Chen Feng 001; Lei M. Zhang; P. Glenn Gulak (CoRR, 2017)

Spatially Coupled Split-Component Codes With Iterative Algebraic Decoding. - Lei M. Zhang; Dmitri V. Truhachev; Frank R. Kschischang (IEEE Trans. Inf. Theory, 2018)

Predicting Sim-to-Real Transfer with Probabilistic Dynamics Models. - Lei M. Zhang; Matthias Plappert; Wojciech Zaremba (CoRR, 2020)

Training a First-Order Theorem Prover from Synthetic Data. - Vlad Firoiu; Eser Aygün; Ankit Anand; Zafarali Ahmed; Xavier Glorot; Laurent Orseau; Lei M. Zhang; Doina Precup; Shibl Mourad (CoRR, 2021)

Proving Theorems using Incremental Learning and Hindsight Experience Replay. - Eser Aygün; Laurent Orseau; Ankit Anand; Xavier Glorot; Vlad Firoiu; Lei M. Zhang; Doina Precup; Shibl Mourad (CoRR, 2021)

Proving Theorems using Incremental Learning and Hindsight Experience Replay. - Eser Aygün; Ankit Anand; Laurent Orseau; Xavier Glorot; Stephen Marcus McAleer; Vlad Firoiu; Lei M. Zhang; Doina Precup; Shibl Mourad (ICML, 2022)

Learning Robust Real-Time Cultural Transmission without Human Data. - Avishkar Bhoopchand; Bethanie Brownfield; Adrian Collister; Agustin Dal Lago; Ashley Edwards; Richard Everett 001; Alexandre Fréchette; Yanko Gitahy Oliveira; Edward Hughes 001; Kory W. Mathewson; Piermaria Mendolicchio; Julia Pawar; et al. (CoRR, 2022)

Human-Timescale Adaptation in an Open-Ended Task Space. - Jakob Bauer; Kate Baumli; Feryal M. P. Behbahani; Avishkar Bhoopchand; Nathalie Bradley-Schmieg; Michael Chang; Natalie Clay; Adrian Collister; Vibhavari Dasagi; Lucy Gonzalez; Karol Gregor; Edward Hughes 001; et al. (ICML, 2023)

Many-Shot In-Context Learning. - Rishabh Agarwal; Avi Singh; Lei M. Zhang; Bernd Bohnet; Stephanie Chan 003; Ankesh Anand; Zaheer Abbas; Azade Nova; John D. Co-Reyes; Eric Chu; Feryal M. P. Behbahani; Aleksandra Faust; et al. (CoRR, 2024)

Training Language Models to Self-Correct via Reinforcement Learning. - Aviral Kumar; Vincent Zhuang; Rishabh Agarwal; Yi Su; John D. Co-Reyes; Avi Singh; Kate Baumli; Shariq Iqbal; Colton Bishop; Rebecca Roelofs; Lei M. Zhang; Kay McKinney; et al. (ICLR, 2025)