Xuehai Qian

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Papers (9)

1. A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology cs.NE · 2019 · author #6
2. Hop: Heterogeneity-Aware Decentralized Training cs.DC · 2019 · author #4
3. ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers cs.LG · 2018 · author #6
4. E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs cs.CV · 2018 · author #10
5. Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework cs.LG · 2018 · author #8
6. VIBNN: Hardware Acceleration of Bayesian Neural Networks cs.LG · 2018 · author #6
7. CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices cs.CV · 2017 · author #8
8. GraphR: Accelerating Graph Processing Using ReRAM cs.DC · 2017 · author #3
9. SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing cs.CV · 2016 · author #5

Mentions

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Frequent Coauthors

• Yanzhi Wang 7 shared papers
• Caiwen Ding 6 shared papers
• Ao Ren 4 shared papers
• Qinru Qiu 4 shared papers
• Xue Lin 4 shared papers
• Youwei Zhuo 4 shared papers
• Zhe Li 4 shared papers
• Bo Yuan 3 shared papers
• Ning Liu 3 shared papers
• Geng Yuan 2 shared papers
• Jian Tang 2 shared papers
• Ruizhe Cai 2 shared papers
• Siyu Liao 2 shared papers
• Wenyao Xu 2 shared papers
• Xiaolong Ma 2 shared papers
• Chang Liu 1 shared papers
• Chao Wang 1 shared papers
• Hai Li 1 shared papers
• Jiayu Li 1 shared papers
• Jie Han 1 shared papers