Dataset Distillation using Neural Feature Regression. - Yongchao Zhou; Ehsan Nezhadarya; Jimmy Ba (NeurIPS, 2022)

Characteristics of the Spatio-Temporal Dynamics of Aerosols in Central Asia and Their Influencing Factors. - Yongchao Zhou; Xin Gao; Xiaoyu Meng; Jiaqiang Lei; Ümüt Halik (Remote. Sens., 2022)

Large Language Models are Human-Level Prompt Engineers. - Yongchao Zhou; Andrei Ioan Muresanu; Ziwen Han; Keiran Paster; Silviu Pitis; Harris Chan; Jimmy Ba (ICLR, 2023)

Training on Thin Air: Improve Image Classification with Generated Data. - Yongchao Zhou; Hshmat Sahak; Jimmy Ba (CoRR, 2023)

Characteristics of Dust Weather in the Tarim Basin from 1989 to 2021 and Its Impact on the Atmospheric Environment. - Yongchao Zhou; Xin Gao; Jiaqiang Lei (Remote. Sens., 2023)

On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes. - Rishabh Agarwal; Nino Vieillard; Yongchao Zhou; Piotr Stanczyk; Sabela Ramos Garea; Matthieu Geist; Olivier Bachem (ICLR, 2024)

Identifying the Risks of LM Agents with an LM-Emulated Sandbox. - Yangjun Ruan; Honghua Dong; Andrew Wang; Silviu Pitis; Yongchao Zhou; Jimmy Ba; Yann Dubois; Chris J. Maddison; Tatsunori Hashimoto (ICLR, 2024)

DistillSpec: Improving Speculative Decoding via Knowledge Distillation. - Yongchao Zhou; Kaifeng Lyu; Ankit Singh Rawat; Aditya Krishna Menon; Afshin Rostamizadeh; Sanjiv Kumar; Jean-François Kagy; Rishabh Agarwal (ICLR, 2024)

Transformers Can Achieve Length Generalization But Not Robustly. - Yongchao Zhou; Uri Alon 002; Xinyun Chen; Xuezhi Wang 002; Rishabh Agarwal; Denny Zhou (CoRR, 2024)

RCA-SI: A Rapid Consensus Algorithm for Swarm Intelligence in unstable network environments. - Guangquan Zeng; Wan Hu; Yongchao Zhou; Desheng Zheng; Xiaoyu Li; Chuang Shi (J. Netw. Comput. Appl., 2025)