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Jingchuan Wei
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2020 – today
- 2023
- [j2]Yang Wang
, Yubin Qin
, Dazheng Deng, Jingchuan Wei
, Yang Zhou, Yuanqi Fan, Tianbao Chen, Hao Sun, Leibo Liu
, Shaojun Wei
, Shouyi Yin
:
An Energy-Efficient Transformer Processor Exploiting Dynamic Weak Relevances in Global Attention. IEEE J. Solid State Circuits 58(1): 227-242 (2023) - [c6]Zhou Wang, Jingchuan Wei, Xiaonan Tang, Boxiao Han, Hongjun He, Leibo Liu, Shaojun Wei, Shouyi Yin:
TPE: A High-Performance Edge-Device Inference with Multi-level Transformational Mechanism. AICAS 2023: 1-5 - [c5]Ruiqi Guo
, Yang Wang, Xiaofeng Chen, Lei Wang, Hao Sun, Jingchuan Wei, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin:
CIMFormer: A 38.9TOPS/W-8b Systolic CIM-Array Based Transformer Processor with Token-Slimmed Attention Reformulating and Principal Possibility Gathering. A-SSCC 2023: 1-3 - [c4]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:
A 28nm 49.7TOPS/W Sparse Transformer Processor with Random-Projection-Based Speculation, Multi-Stationary Dataflow, and Redundant Partial Product Elimination. A-SSCC 2023: 1-3 - [c3]Zhou Wang, Jingchuan Wei, Boxiao Han, Hongjun He, Leibo Liu, Shaojun Wei, Shouyi Yin:
CPE: An Energy-Efficient Edge-Device Training with Multi-dimensional Compression Mechanism. DAC 2023: 1-6 - 2022
- [j1]Yang Wang
, Yubin Qin
, Dazheng Deng, Jingchuan Wei, Tianbao Chen, Xinhan Lin, Leibo Liu
, Shaojun Wei
, Shouyi Yin
:
Trainer: An Energy-Efficient Edge-Device Training Processor Supporting Dynamic Weight Pruning. IEEE J. Solid State Circuits 57(10): 3164-3178 (2022) - [c2]Yang Wang, Yubin Qin, Dazheng Deng, Jingchuan Wei, Yang Zhou, Yuanqi Fan, Tianbao Chen, Hao Sun, Leibo Liu, Shaojun Wei, Shouyi Yin:
A 28nm 27.5TOPS/W Approximate-Computing-Based Transformer Processor with Asymptotic Sparsity Speculating and Out-of-Order Computing. ISSCC 2022: 1-3 - 2021
- [c1]Yang Wang, Yubin Qin, Dazheng Deng, Jingchuan Wei, Tianbao Chen, Xinhan Lin, Leibo Liu, Shaojun Wei, Shouyi Yin:
A 28nm 276.55TFLOPS/W Sparse Deep-Neural-Network Training Processor with Implicit Redundancy Speculation and Batch Normalization Reformulation. VLSI Circuits 2021: 1-2
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