Tiancheng Chen

According to our database, Tiancheng Chen authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RailX: A Flexible, Scalable, and Low-Cost Network Architecture for Hyper-Scale LLM Training Systems.

Yinxiao Feng, Tiancheng Chen, Yuchen Wei, Siyuan Shen, Shiju Wang, Wei Li, Kaisheng Ma, Torsten Hoefler

CoRR, July, 2025

ATLAHS: An Application-centric Network Simulator Toolchain for AI, HPC, and Distributed Storage.

Siyuan Shen, Tommaso Bonato, Zhiyi Hu, Pasquale Jordan, Tiancheng Chen, Torsten Hoefler

CoRR, May, 2025

SDR-RDMA: Software-Defined Reliability Architecture for Planetary Scale RDMA Communication.

Mikhail Khalilov, Siyuan Shen, Marcin Chrapek, Tiancheng Chen, Kenji Nakano, Peter-Jan Gootzen, Salvatore Di Girolamo, Rami Nudelman, Gil Bloch, Sreevatsa Anantharamu, Mahmoud Elhaddad, Jithin Jose, Abdul Kabbani, Scott Moe, Konstantin Taranov, Zhuolong Yu, Jie Zhang, Nicola Mazzoletti, Torsten Hoefler

CoRR, May, 2025

Sailor: Automating Distributed Training over Dynamic, Heterogeneous, and Geo-distributed Clusters.

Foteini Strati, Zhendong Zhang, George Manos, Ixeia Sánchez Périz, Qinghao Hu, Tiancheng Chen, Berk Buzcu, Song Han, Pamela Delgado, Ana Klimovic

CoRR, April, 2025

CrossPipe: Towards Optimal Pipeline Schedules for Cross-Datacenter Training.

Tiancheng Chen, Ales Kubicek, Langwen Huang, Torsten Hoefler

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

2024

EvilScreen Attack: Smart TV Hijacking via Multi-Channel Remote Control Mimicry.

Yiwei Zhang, Siqi Ma, Tiancheng Chen, Juanru Li, Robert H. Deng, Elisa Bertino

IEEE Trans. Dependable Secur. Comput., 2024

2023

GNN Scaling 0.1 Software Artifact.

Maciej Besta, Pawel Renc, Robert Gerstenberger, Paolo Sylos Labini, Alexandros Nikolaos Ziogas, Tiancheng Chen, Lukas Gianinazzi, Florian Scheidl, Kalman Szenes, Armon Carigiet, Patrick Iff, Grzegorz Kwasniewski, Raghavendra Kanakagiri, Chio Ge, Sammy Jaeger, Jaroslaw Was, Flavio Vella, Torsten Hoefler

Dataset, June, 2023

High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations.

Maciej Besta, Pawel Renc, Robert Gerstenberger, Paolo Sylos Labini, Alexandros Nikolaos Ziogas, Tiancheng Chen, Lukas Gianinazzi, Florian Scheidl, Kalman Szenes, Armon Carigiet, Patrick Iff, Grzegorz Kwasniewski, Raghavendra Kanakagiri, Chio Ge, Sammy Jaeger, Jaroslaw Was, Flavio Vella, Torsten Hoefler

Proceedings of the International Conference for High Performance Computing, 2023

An Improved Imaging Method for Highly-Squinted SAR Based on Hyper-Optimized Admm.

Tiancheng Chen, Yang Meng, Guoru Zhou, Zhe Zhang, Bingchen Zhang, Yirong Wu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Neural Graph Databases.

Maciej Besta, Patrick Iff, Florian Scheidl, Kazuki Osawa, Nikoli Dryden, Michal Podstawski, Tiancheng Chen, Torsten Hoefler

Proceedings of the Learning on Graphs Conference, 2022

2019

NLP-EYE: Detecting Memory Corruptions via Semantic-Aware Memory Operation Function Identification.

Jianqiang Wang, Siqi Ma, Yuanyuan Zhang, Juanru Li, Zheyu Ma, Long Mai, Tiancheng Chen, Dawu Gu

Proceedings of the 22nd International Symposium on Research in Attacks, 2019