Chunxing Yin

According to our database, Chunxing Yin authored at least 7 papers between 2017 and 2026.

Collaborative distances:

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

2026

Bending the Scaling Law Curve in Large-Scale Recommendation Systems.

Qin Ding, Kevin Course, Linjian Ma, Jianhui Sun, Ruochen Liu, Zhao Zhu, Chunxing Yin, Wei Li, Dai Li, Yu Shi, Xuan Cao, Ze Yang, Han Li, Xing Liu, Bi Xue, Hongwei Li, Rui Jian, Daisy Shi He, Jing Qian, Matt Ma, Qunshu Zhang, Rui Li

CoRR, February, 2026

2024

Fast and compact neural network via Tensor-Train reparameterization.

Chunxing Yin

PhD thesis, 2024

Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression.

Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao

Proceedings of the International Conference for High Performance Computing, 2024

2022

Nimble GNN Embedding with Tensor-Train Decomposition.

Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models.

Chunxing Yin, Bilge Acun, Carole-Jean Wu, Xing Liu

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

2019

Concurrent Katz Centrality for Streaming Graphs.

Chunxing Yin, E. Jason Riedy

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2017

A New Direction for Streaming Graph Analysis.

Eisha Nathan, E. Jason Riedy, Anita Zakrzewska, Chunxing Yin

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017