A 28nm 276.55TFLOPS/W Sparse Deep-Neural-Network Training Processor with Implicit Redundancy Speculation and Batch Normalization Reformulation. - Yang Wang 089; Yubin Qin; Dazheng Deng; Jingchuan Wei; Tianbao Chen; Xinhan Lin; Leibo Liu; Shaojun Wei; Shouyi Yin (VLSI Circuits, 2021)

A 28nm 27.5TOPS/W Approximate-Computing-Based Transformer Processor with Asymptotic Sparsity Speculating and Out-of-Order Computing. - Yang Wang 089; Yubin Qin; Dazheng Deng; Jingchuan Wei; Yang Zhou; Yuanqi Fan; Tianbao Chen; Hao Sun; Leibo Liu; Shaojun Wei; Shouyi Yin (ISSCC, 2022)

Trainer: An Energy-Efficient Edge-Device Training Processor Supporting Dynamic Weight Pruning. - Yang Wang 089; Yubin Qin; Dazheng Deng; Jingchuan Wei; Tianbao Chen; Xinhan Lin; Leibo Liu; Shaojun Wei; Shouyi Yin (IEEE J. Solid State Circuits, 2022)

TPE: A High-Performance Edge-Device Inference with Multi-level Transformational Mechanism. - Zhou Wang 005; Jingchuan Wei; Xiaonan Tang; Boxiao Han; Hongjun He; Leibo Liu; Shaojun Wei; Shouyi Yin (AICAS, 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 089; Xiaofeng Chen; Lei Wang; Hao Sun; Jingchuan Wei; Leibo Liu; Shaojun Wei; Yang Hu 001; Shouyi Yin (A-SSCC, 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 089; Dazheng Deng; Xiaolong Yang; Zhiren Zhao; Yang Zhou; Yuanqi Fan; Jingchuan Wei; Tianbao Chen; Leibo Liu; Shaojun Wei; Yang Hu 001; et al. (A-SSCC, 2023)

CPE: An Energy-Efficient Edge-Device Training with Multi-dimensional Compression Mechanism. - Zhou Wang 005; Jingchuan Wei; Boxiao Han; Hongjun He; Leibo Liu; Shaojun Wei; Shouyi Yin (DAC, 2023)

An Energy-Efficient Transformer Processor Exploiting Dynamic Weak Relevances in Global Attention. - Yang Wang 089; 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)

CIMFormer: A Systolic CIM-Array-Based Transformer Accelerator With Token-Pruning-Aware Attention Reformulating and Principal Possibility Gathering. - Ruiqi Guo; Xiaofeng Chen; Lei Wang; Yang Wang 089; Hao Sun; Jingchuan Wei; Huiming Han; Leibo Liu; Shaojun Wei; Yang Hu 001; Shouyi Yin (IEEE J. Solid State Circuits, 2024)

Ayaka: A Versatile Transformer Accelerator With Low-Rank Estimation and Heterogeneous Dataflow. - Yubin Qin; Yang Wang 089; Dazheng Deng; Xiaolong Yang; Zhiren Zhao; Yang Zhou; Yuanqi Fan; Jingchuan Wei; Tianbao Chen; Leibo Liu; Shaojun Wei; Yang Hu 001; et al. (IEEE J. Solid State Circuits, 2024)

BeaCIM: A Digital Compute-in-Memory DNN Processor With Bi-Directional Exponent Alignment for FP8 Training. - Yang Zhou; Yang Wang 089; Wenxin Yin; Yazheng Jiang; Jingchuan Wei; Yubin Qin; Yang Hu 001; Shaojun Wei; Shouyi Yin (IEEE Trans. Circuits Syst. II Express Briefs, 2025)