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Juvenile state hypothesis: What we can learn from lottery ticket hypothesis researches?

Sep 08, 2021
Di Zhang

* 7 pages, 8 figures, Under the review of AAAI2022 

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Exploring Sparse Expert Models and Beyond

Jun 14, 2021
An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang

* 16 pages, 8 figures 

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Energy Efficiency Optimization for Multi-cell Massive MIMO: Centralized and Distributed Power Allocation Algorithms

May 31, 2021
Li You, Yufei Huang, Di Zhang, Zheng Chang, Wenjin Wang, Xiqi Gao

* to appear in IEEE Transactions on Communications 

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Graph Intention Network for Click-through Rate Prediction in Sponsored Search

Mar 30, 2021
Feng Li, Zhenrui Chen, Pengjie Wang, Yi Ren, Di Zhang, Xiaoyu Zhu

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SCMA Codebook Design Based on Uniquely Decomposable Constellation Groups

Mar 06, 2021
Xuewan Zhang, Dalong Zhang, Liuqing Yang, Gangtao Han, Hsiao-Hwa Chen, Di Zhang

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Uniquely Decomposable Constellation Group for SCMA Codebook Design

Feb 27, 2021
Xuewan Zhang, Dalong Zhang, Liuqing Yang, Gangtao Han, Hsiao-Hwa Chen, Di Zhang

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RLScheduler: Learn to Schedule HPC Batch Jobs Using Deep Reinforcement Learning

Oct 20, 2019
Di Zhang, Dong Dai, Youbiao He, Forrest Sheng Bao

* 10 pages; conference in submission 

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Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections

Jan 03, 2019
Michael Wojnowicz, Di Zhang, Glenn Chisholm, Xuan Zhao, Matt Wolff

* 2016 IEEE 3rd International Conference on Data Science and Advanced Analytics (DSAA) (pp. 184-193). IEEE 
* Originally published in IEEE DSAA in 2016; this post-print fixes a rendering error of the += operator in Algorithm 3 

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Gear Training: A new way to implement high-performance model-parallel training

Jun 11, 2018
Hao Dong, Shuai Li, Dongchang Xu, Yi Ren, Di Zhang

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