Jingchuan Wei

According to our database, Jingchuan Wei authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

An Energy-Efficient Transformer Processor Exploiting Dynamic Weak Relevances in Global Attention.

Yang Wang, Yubin Qin, Dazheng Deng, Jingchuan Wei, Yang Zhou, Yuanqi Fan, Tianbao Chen, Hao Sun, Leibo Liu, Shaojun Wei, Shouyi Yin

IEEE J. Solid State Circuits, 2023

CPE: An Energy-Efficient Edge-Device Training with Multi-dimensional Compression Mechanism.

Zhou Wang, Jingchuan Wei, Boxiao Han, Hongjun He, Leibo Liu, Shaojun Wei, Shouyi Yin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

A 28nm 49.7TOPS/W Sparse Transformer Processor with Random-Projection-Based Speculation, Multi-Stationary Dataflow, and Redundant Partial Product Elimination.

Yubin Qin, Yang Wang, Dazheng Deng, Xiaolong Yang, Zhiren Zhao, Yang Zhou, Yuanqi Fan, Jingchuan Wei, Tianbao Chen, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

CIMFormer: A 38.9TOPS/W-8b Systolic CIM-Array Based Transformer Processor with Token-Slimmed Attention Reformulating and Principal Possibility Gathering.

Ruiqi Guo, Yang Wang, Xiaofeng Chen, Lei Wang, Hao Sun, Jingchuan Wei, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

TPE: A High-Performance Edge-Device Inference with Multi-level Transformational Mechanism.

Zhou Wang, Jingchuan Wei, Xiaonan Tang, Boxiao Han, Hongjun He, Leibo Liu, Shaojun Wei, Shouyi Yin

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

Trainer: An Energy-Efficient Edge-Device Training Processor Supporting Dynamic Weight Pruning.

Yang Wang, Yubin Qin, Dazheng Deng, Jingchuan Wei, Tianbao Chen, Xinhan Lin, Leibo Liu, Shaojun Wei, Shouyi Yin

IEEE J. Solid State Circuits, 2022

A 28nm 27.5TOPS/W Approximate-Computing-Based Transformer Processor with Asymptotic Sparsity Speculating and Out-of-Order Computing.

Yang Wang, Yubin Qin, Dazheng Deng, Jingchuan Wei, Yang Zhou, Yuanqi Fan, Tianbao Chen, Hao Sun, Leibo Liu, Shaojun Wei, Shouyi Yin

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

2021

A 28nm 276.55TFLOPS/W Sparse Deep-Neural-Network Training Processor with Implicit Redundancy Speculation and Batch Normalization Reformulation.

Yang Wang, Yubin Qin, Dazheng Deng, Jingchuan Wei, Tianbao Chen, Xinhan Lin, Leibo Liu, Shaojun Wei, Shouyi Yin

Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021