Publications

[SC’21] Efficient Tensor Core-based GPU Kernels for Structured Sparsity under Reduced Precision.

Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie.
In International Conference for High Performance Computing, Networking, Storage, and Analysis, 2021.

[MICRO’21] ENMC: Extreme Near- Memory Classification via Approximate Screening.

Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie.
In 2021 54th IEEE/ACM International Symposium on Microarchitecture.

[Computer’21] Π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures.

Liu Liu, Jie Tang, Shaoshan Liu, Bo Yu, Yuan Xie, Jean-Luc Gaudiot.
Computer 54, no. 4 (2021): 14-25.

[MICRO’20] DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. (pdf)

Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie.
In 2020 53rd IEEE/ACM International Symposium on Microarchitecture.

[ICML’20] Boosting Deep Neural Network Efficiency with Dual-Module Inference. (pdf)

Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie.
In the 37th International Conference on Machine Learning, 2020.

[ICLR’19] Dynamic Sparse Graph for Efficient Deep Learning. (pdf)

Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie.
In the Seventh International Conference on Learning Representations, 2019.

[TCAD’18] Semimap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars.

Lei Deng, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu, Xin Ma, Liu Liu, Jing Pei, Guoqi Li, Yuan Xie.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39, no. 1 (2018): 117-130.

[Front. Neurosci.’18] Fast Object Tracking on a Many-Core Neural Network Chip.

Lei Deng, Zhe Zou, Xin Ma, Ling Liang, Guanrui Wang, Xing Hu, Liu Liu, Jing Pei, Guoqi Li, Yuan Xie.
Frontiers in neuroscience 12 (2018): 841.

[TNNLS’18] L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks.

Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Dong Wu, Yuan Xie, Luping Shi.
IEEE transactions on neural networks and learning systems 30, no. 7 (2018): 2043-2051.

[ASP-DAC’17] Building Energy-Efficient Multi-Level Cell STT-RAM Caches with Data Compression. (pdf)

Liu Liu, Ping Chi, Shuangchen Li, Yuanqing Cheng, Yuan Xie.
In the 22nd Asia and South Pacific Design Automation Conference, 2017.

[ICCAD’16] NVSim-CAM: A Circuit-Level Simulator for Emerging Nonvolatile Memory based Content-Addressable Memory. (pdf)

Shuangchen Li, Liu Liu, Peng Gu, Cong Xu, and Yuan Xie.
In the 35rd International Comference on Computer-Aided Design, 2016.

[GLSVLSI’16] Leveraging 3D Technologies for Hardware Security: Opportunities and Challenges. (pdf)

Peng Gu, Shuangchen Li, Dylan Stow, Russell Barnes, Liu Liu, Eren Kursun, Yuan Xie.
In the 26th Great Lakes Symposium on VLSI, 2016.