A Deterministic-Path Routing Algorithm for Tolerating Many Faults on Very-Large-Scale Network-on-Chip. - Ying Zhang 040; Xinpeng Hong; Zhongsheng Chen; Zebo Peng; Jianhui Jiang (ACM Trans. Design Autom. Electr. Syst., 2021)

Linnet: limit order books within switches. - Xinpeng Hong; Changgang Zheng; Stefan Zohren; Noa Zilberman (SIGCOMM Posters and Demos, 2022)

Automating In-Network Machine Learning. - Changgang Zheng; Mingyuan Zang; Xinpeng Hong; Riyad Bensoussane; Shay Vargaftik; Yaniv Ben-Itzhak; Noa Zilberman (CoRR, 2022)

LOBIN: In-Network Machine Learning for Limit Order Books. - Xinpeng Hong; Changgang Zheng; Stefan Zohren; Noa Zilberman (HPSR, 2023)

DINC: Toward Distributed In-Network Computing. - Changgang Zheng; Haoyue Tang; Mingyuan Zang; Xinpeng Hong; Aosong Feng; Leandros Tassiulas; Noa Zilberman (PACMNET, 2023)

In-Network Machine Learning for Real-Time Transaction Fraud Detection. - Xinpeng Hong; Changgang Zheng; Noa Zilberman (ECAI, 2024)

Accelerating Machine Learning for Trading Using Programmable Switches. - Xinpeng Hong; Changgang Zheng; Stefan Zohren; Noa Zilberman (ECAI, 2024)

In-Network Machine Learning Using Programmable Network Devices: A Survey. - Changgang Zheng; Xinpeng Hong; Damu Ding; Shay Vargaftik; Yaniv Ben-Itzhak; Noa Zilberman (IEEE Commun. Surv. Tutorials, 2024)

Planter: Rapid Prototyping of In-Network Machine Learning Inference. - Changgang Zheng; Mingyuan Zang; Xinpeng Hong; Liam Perreault; Riyad Bensoussane; Shay Vargaftik; Yaniv Ben-Itzhak; Noa Zilberman (Comput. Commun. Rev., 2024)

R&D-Agent: Automating Data-Driven AI Solution Building Through LLM-Powered Automated Research, Development, and Evolution. - Xu Yang; Xiao Yang; Shikai Fang; Bowen Xian; Yuante Li; Jian Wang; Minrui Xu; Haoran Pan; Xinpeng Hong; Weiqing Liu; Yelong Shen; Weizhu Chen; et al. (CoRR, 2025)