Shiwei Liu - RankMe

11 papers A* 2A 1C 1Journal 3Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	DRAFT: Decoupling Backpropagation from Pre-trained Backbone for Efficient Transformer Fine-Tuning on Edge. DAC Zhirui Huang, Shiwei Liu, Haozhe Zhu, Qi Liu, Chixiao Chen
2025	A*	`conf`	McPAL: Scaling Unstructured Sparse Inference with Multi-Chiplet HBM-PIM Architecture for LLMs. DAC Shiwei Liu, Zhirui Huang, Jiangnan Yu, Qi Liu, Chixiao Chen
2024	A	`conf`	ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters. ICCAD Shiwei Liu, Guanchen Tao, Yifei Zou, Derek Chow, Zichen Fan, Kauna Lei, Bangfei Pan, Dennis Sylvester, Gregory Kielian, Mehdi Saligane
2024	J	`jnl`	ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters. CoRR Shiwei Liu, Guanchen Tao, Yifei Zou, Derek Chow, Zichen Fan, Kauna Lei, Bangfei Pan, Dennis Sylvester, Gregory Kielian, Mehdi Saligane
2024	J	`jnl`	HARDSEA: Hybrid Analog-ReRAM Clustering and Digital-SRAM In-Memory Computing Accelerator for Dynamic Sparse Self-Attention in Transformer. IEEE Trans. Very Large Scale Integr. Syst. Shiwei Liu, Chen Mu, Hao Jiang, Yunzhengmao Wang, Jinshan Zhang, Feng Lin, Keji Zhou, Qi Liu, Chixiao Chen
2023	—	`conf`	A 28nm 53.8TOPS/W 8b Sparse Transformer Accelerator with In-Memory Butterfly Zero Skipper for Unstructured-Pruned NN and CIM-Based Local-Attention-Reusable Engine. ISSCC Shiwei Liu, Peizhe Li, Jinshan Zhang, Yunzhengmao Wang, Haozhe Zhu, Wenning Jiang, Shan Tang, Chixiao Chen, Qi Liu, Ming Liu
2023	C	`conf`	A Scalable Die-to-Die Interconnect with Replay and Repair Schemes for 2.5D/3D Integration. ISCAS Jie Liao, Bo Jiao, Jinshan Zhang, Shiwei Liu, Hao Jiang, Jun Tao, Wenning Jiang, Qi Liu, Lihua Zhang, Haozhe Zhu, Chixiao Chen
2022	—	`conf`	A 200M-Query-Vector/s Computing-in-RRAM ADC-less k-Nearest-Neighbor Accelerator with Time-Domain Winner-Takes-All Circuits. AICAS Chen Mu, Yunzhengmao Wang, Jiapei Zheng, Shiwei Liu, Keji Zhou, Shan Tang, Chixiao Chen, Qi Liu
2021	—	`conf`	Systolic-Array Deep-Learning Acceleration Exploring Pattern-Indexed Coordinate-Assisted Sparsity for Real-Time On-Device Speech Processing. ACM Great Lakes Symposium on VLSI Shiwei Liu, Zihao Zhao, Yanhong Wang, Qiaosha Zou, Yiyun Zhang, Chuanjin Richard Shi
2020	J	`jnl`	A Communication-Aware DNN Accelerator on ImageNet Using In-Memory Entry-Counting Based Algorithm-Circuit-Architecture Co-Design in 65-nm CMOS. IEEE J. Emerg. Sel. Topics Circuits Syst. Haozhe Zhu, Chixiao Chen, Shiwei Liu, Qiaosha Zou, Mingyu Wang, Lihua Zhang, Xiaoyang Zeng, Chuanjin Richard Shi
2020	—	`conf`	XNORAM: An Efficient Computing-in-Memory Architecture for Binary Convolutional Neural Networks with Flexible Dataflow Mapping. AICAS Shiwei Liu, Haozhe Zhu, Chixiao Chen, Lihua Zhang, Chuanjin Richard Shi