Liu Liu

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 25

Top Topics

Age Related Macular Degeneration

Top Venues

Publications

Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie
ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs. MLSys (2023)
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)
Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie
Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. PPoPP (2023)
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. IEEE J. Solid State Circuits 58 (6) (2023)
Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler. CoRR (2022)
Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie
DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS (2022)
Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie
Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers 71 (12) (2022)
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)
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes. ISSCC (2022)
Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie
Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. SC (2021)
Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie
Transformer Acceleration with Dynamic Sparse Attention. CoRR (2021)
Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie
ENMC: Extreme Near-Memory Classification via Approximate Screening. MICRO (2021)
Liu Liu, Jie Tang, Shaoshan Liu, Bo Yu, Yuan Xie, Jean-Luc Gaudiot
Π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures. Computer 54 (4) (2021)
Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie
DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO (2020)
Lei Deng, Yuan Xie, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu, Xin Ma, Liu Liu, Jing Pei, Guoqi Li
SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (1) (2020)
Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie
Boosting Deep Neural Network Efficiency with Dual-Module Inference. ICML (2020)
Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) (2019)
Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Dong Wu, Yuan Xie, Luping Shi
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30 (7) (2019)
Liu Liu, Shaoshan Liu, Zhe Zhang, Bo Yu, Jie Tang, Yuan Xie
PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures. CoRR (2018)
Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Yuan Xie, Luping Shi
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. CoRR (2018)
Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
Dynamic Sparse Graph for Efficient Deep Learning. CoRR (2018)
Liu Liu, Ping Chi, Shuangchen Li, Yuanqing Cheng, Yuan Xie
Building energy-efficient multi-level cell STT-RAM caches with data compression. ASP-DAC (2017)
Peng Gu, Shuangchen Li, Dylan C. Stow, Russell Barnes, Liu Liu, Yuan Xie, Eren Kursun
Leveraging 3D Technologies for Hardware Security: Opportunities and Challenges. ACM Great Lakes Symposium on VLSI (2016)
Maohua Zhu, Liu Liu, Chao Wang, Yuan Xie
CNNLab: a Novel Parallel Framework for Neural Networks using GPU and FPGA-a Practical Study with Trade-off Analysis. CoRR (2016)
Shuangchen Li, Liu Liu, Peng Gu, Cong Xu, Yuan Xie
NVSim-CAM: a circuit-level simulator for emerging nonvolatile memory based content-addressable memory. ICCAD (2016)