Zhengxing Chen

RESEARCH SCIENTIST | MENLO PARK, UNITED STATES

Zhengxing is a research scientist at Meta who designs and implements large-scale Reinforcement Learning (RL) algorithms for personalization and foundational models such as Llama. His work has helped Meta products to better align with human values. Prior to joining Meta, Zhengxing obtained his PhD degree in 2018 in Computer Science from Northeastern University, where he researched artificial intelligence in video games.

Zhengxing's Work

Zhengxing's Publications

January 06, 2024

RANKING AND RECOMMENDATIONS

REINFORCEMENT LEARNING

Learning to bid and rank together in recommendation systems

Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing (Bill) Zhu

January 06, 2024

December 17, 2020

RANKING AND RECOMMENDATIONS

REINFORCEMENT LEARNING

Reinforcement Learning-based Product Delivery Frequency Control

Yang Liu (CPP), Feng Liang, Jiahao Wu, Juan Wang, Kittipat Virochsiri, Zhengxing Chen

December 17, 2020