Fast and Low-Complexity Decoding Algorithm and Architecture for Quadruple-Error-Correcting RS codes. - Zengchao Yan; Wenjie Li 003; Jun Lin 001; Zhongfeng Wang 001 (APCCAS, 2018)

A Low-Complexity Error-and-Erasure Decoding Algorithm for t=2 RS Codes. - Zengchao Yan; Wenjie Li 003; Jun Lin 001; Zhongfeng Wang 001 (SiPS, 2019)

Modified GII-BCH Codes for Low-Complexity and Low-Latency Encoders. - Wenjie Li 003; Jing Tian 004; Jun Lin 001; Zhongfeng Wang 001 (IEEE Commun. Lett., 2019)

A 124-Gb/s Decoder for Generalized Integrated Interleaved Codes. - Wenjie Li 003; Jun Lin 001; Zhongfeng Wang 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Multi-Layer Generalized Integrated Interleaved Codes. - Wenjie Li 003; Jun Lin 001; Zhongfeng Wang 001 (IEEE Commun. Lett., 2020)

An Efficient Stochastic Convolution Accelerator based on Pseudo-Sobol Sequences. - Aokun Hu; Wenjie Li 003; Dongxu Lv; Guanghui He (NANOARCH, 2022)

Efficient Compression Methods for Wire-Spread-Based Stochastic Computing Deep Neural Networks. - Wenjie Li 003; Ningyi Xu; Runsheng Wang; Guanghui He (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Low-Complexity Precision-Scalable Multiply-Accumulate Unit Architectures for Deep Neural Network Accelerators. - Wenjie Li 003; Aokun Hu; Gang Wang 063; Ningyi Xu; Guanghui He (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Hardware-oriented algorithms for softmax and layer normalization of large language models. - Wenjie Li 003; Dongxu Lyu; Gang Wang 063; Aokun Hu; Ningyi Xu; Guanghui He (Sci. China Inf. Sci., 2024)

A Precision-Scalable Deep Neural Network Accelerator With Activation Sparsity Exploitation. - Wenjie Li 003; Aokun Hu; Ningyi Xu; Guanghui He (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Quantization and Hardware Architecture Co-Design for Matrix-Vector Multiplications of Large Language Models. - Wenjie Li 003; Aokun Hu; Ningyi Xu; Guanghui He (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

CoDA: A Co-Design Framework for Versatile and Efficient Attention Accelerators. - Wenjie Li 003; Aokun Hu; Ningyi Xu; Guanghui He (IEEE Trans. Computers, 2024)

BSViT: A Bit-Serial Vision Transformer Accelerator Exploiting Dynamic Patch and Weight Bit-Group Quantization. - Gang Wang 063; Siqi Cai; Wenjie Li 003; Dongxu Lyu; Guanghui He (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Adaptive Two-Range Quantization and Hardware Co-Design for Large Language Model Acceleration. - Siqi Cai; Gang Wang 063; Wenjie Li 003; Dongxu Lyu; Guanghui He (IEEE J. Emerg. Sel. Topics Circuits Syst., 2025)

Efficient Hardware Architecture Design for Rotary Position Embedding of Large Language Models. - Wenjie Li 003; Gang Wang 063; Dongxu Lyu; Ningyi Xu; Guanghui He (IEEE J. Emerg. Sel. Topics Circuits Syst., 2025)

An Efficient Multi-View Cross-Attention Accelerator for Vision-Centric 3D Perception in Autonomous Driving. - Dongxu Lyu; Zhenyu Li; Yansong Xu; Gang Wang 063; Wenjie Li 003; Yuzhou Chen; Liyan Chen; Weifeng He; Guanghui He (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

OFQ-LLM: Outlier-Flexing Quantization for Efficient Low-Bit Large Language Model Acceleration. - Gang Wang 063; Siqi Cai; Wenjie Li 003; Dongxu Lyu; Guanghui He (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)