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Xuehai Qian

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation

Oct 30, 2022
Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han

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* ICCAD 2022; 10 pages, 10 figures; code at https://github.com/mit-han-lab/torchquantum

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PAN: Pulse Ansatz on NISQ Machines

Aug 02, 2022
Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian

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* 13 pages, 13 figures

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GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity

Aug 25, 2021
Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren

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* Accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021

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FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator

Jun 16, 2021
Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding

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* In Proceedings of the 48th Annual International Symposium on Computer Architecture (ISCA), 2021

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Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework

Dec 12, 2020
Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. -H. So, Xuehai Qian, Yanzhi Wang, Xue Lin

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* Accepted by High-Performance Computer Architecture (HPCA'2021)

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PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning

Jan 22, 2020
Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren

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* To be published in the Proceedings of Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 20)

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