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Jinda Jia
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2020 – today
- 2025
[c3]Donglei Wu, Weihao Yang, Xiangyu Zou, Jinda Jia, Dingwen Tao, Wen Xia, Zhihong Tian:
BirdMoE: Reducing Communication Costs for Mixture-of-Experts Training Using Load-Aware Bi-random Quantization. DAC 2025: 1-7
[c2]Baixi Sun
, Weijin Liu
, J. Gregory Pauloski
, Jiannan Tian
, Jinda Jia
, Daoce Wang
, Boyuan Zhang
, Mingkai Zheng
, Sheng Di
, Sian Jin
, Zhao Zhang
, Xiaodong Yu
, Kamil A. Iskra
, Pete Beckman
, Guangming Tan
, Dingwen Tao
:
COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. PPoPP 2025: 212-224
[i2]Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James P. Ahrens, Fengguang Song:
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data. CoRR abs/2509.01626 (2025)- 2024
[c1]Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao:
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training. NeurIPS 2024
[i1]Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang
, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao:
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training. CoRR abs/2410.15526 (2024)
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last updated on 2025-10-13 22:03 CEST by the dblp team
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