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Jilan Lin
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2020 – today
- 2023
- [j3]Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie:
SPG: Structure-Private Graph Database via SqueezePIR. Proc. VLDB Endow. 16(7): 1615-1628 (2023) - [c10]Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie:
ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification. ISCA 2023: 58:1-58:14 - 2022
- [b1]Jilan Lin:
Memory-Centric Architectures for Big Data Applications. University of California, Santa Barbara, USA, 2022 - [j2]Zheng Qu, Lei Deng, Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang, Yuan Xie:
Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 372-385 (2022) - [c9]Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie:
INSPIRE: in-storage private information retrieval via protocol and architecture co-design. ISCA 2022: 102-115 - 2021
- [j1]Jilan Lin, Cheng-Da Wen, Xing Hu, Tianqi Tang, Ing-Chao Lin, Yu Wang, Yuan Xie:
Rescuing RRAM-Based Computing From Static and Dynamic Faults. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 2049-2062 (2021) - [c8]Jilan Lin, Shuangchen Li, Yufei Ding, Yuan Xie:
Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications. ICCAD 2021: 1-9 - [c7]Abanti Basak, Zheng Qu, Jilan Lin, Alaa R. Alameldeen, Zeshan Chishti, Yufei Ding, Yuan Xie:
Improving Streaming Graph Processing Performance using Input Knowledge. MICRO 2021: 1036-1050 - [c6]Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie:
ENMC: Extreme Near-Memory Classification via Approximate Screening. MICRO 2021: 1309-1322 - 2020
- [c5]Abanti Basak, Jilan Lin, Ryan Lorica, Xinfeng Xie, Zeshan Chishti, Alaa R. Alameldeen, Yuan Xie:
SAGA-Bench: Software and Hardware Characterization of Streaming Graph Analytics Workloads. ISPASS 2020: 12-23
2010 – 2019
- 2019
- [c4]Jilan Lin, Zhenhua Zhu, Yu Wang, Yuan Xie:
Learning the sparsity for ReRAM: mapping and pruning sparse neural network for ReRAM based accelerator. ASP-DAC 2019: 639-644 - [c3]Jilan Lin, Shuangchen Li, Xing Hu, Lei Deng, Yuan Xie:
CNNWire: Boosting Convolutional Neural Network with Winograd on ReRAM based Accelerators. ACM Great Lakes Symposium on VLSI 2019: 283-286 - 2018
- [c2]Jilan Lin, Lixue Xia, Zhenhua Zhu, Hanbo Sun, Yi Cai, Hui Gao, Ming Cheng, Xiaoming Chen, Yu Wang, Huazhong Yang:
Rescuing memristor-based computing with non-linear resistance levels. DATE 2018: 407-412 - [c1]Zhenhua Zhu, Jilan Lin, Ming Cheng, Lixue Xia, Hanbo Sun, Xiaoming Chen, Yu Wang, Huazhong Yang:
Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method. ICCAD 2018: 69
Coauthor Index
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