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Chunxing Yin
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2020 – today
- 2024
- [b1]Chunxing Yin:
Fast and compact neural network via Tensor-Train reparameterization. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - [i3]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:
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. CoRR abs/2407.04272 (2024) - 2022
- [c4]Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc:
Nimble GNN Embedding with Tensor-Train Decomposition. KDD 2022: 2327-2335 - [i2]Chunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc:
Nimble GNN Embedding with Tensor-Train Decomposition. CoRR abs/2206.10581 (2022) - 2021
- [c3]Chunxing Yin, Bilge Acun, Carole-Jean Wu, Xing Liu:
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models. MLSys 2021 - [i1]Chunxing Yin, Bilge Acun, Xing Liu, Carole-Jean Wu:
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models. CoRR abs/2101.11714 (2021)
2010 – 2019
- 2019
- [c2]Chunxing Yin, E. Jason Riedy:
Concurrent Katz Centrality for Streaming Graphs. HPEC 2019: 1-6 - 2017
- [c1]Eisha Nathan, E. Jason Riedy, Anita Zakrzewska, Chunxing Yin:
A New Direction for Streaming Graph Analysis. CLUSTER 2017: 645-646
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