FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling. - Dongxu Lyu; Zhenyu Li; Yuzhou Chen; Ningyi Xu; Guanghui He (DAC, 2023)

SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing. - Dongxu Lyu; Zhenyu Li; Yuzhou Chen; Jinming Zhang; Ningyi Xu; Guanghui He (ICCAD, 2023)

DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. - Yansong Xu; Dongxu Lyu; Zhenyu Li; Yuzhou Chen; Zilong Wang; Gang Wang 063; Zhican Wang; Haomin Li 002; Guanghui He (DAC, 2024)

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 Broad-Spectrum and High-Throughput Compression Engine for Neural Network Processors. - Yuzhou Chen; Jinming Zhang; Dongxu Lyu; Zhenyu Li; Guanghui He (IEEE Trans. Circuits Syst. II Express Briefs, 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)

M2M: A Fine-Grained Mapping Framework to Accelerate Multiple DNNs on a Multi-Chiplet Architecture. - Jinming Zhang; Xuyan Wang; Yaoyao Ye; Dongxu Lyu; Guojie Xiong; Ningyi Xu; Yong Lian 001; Guanghui He (IEEE Trans. Very Large Scale Integr. Syst., 2024)

TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism. - Haomin Li 002; Fangxin Liu; Zongwu Wang; Dongxu Lyu; Shiyuan Huang; Ning Yang; Qi Sun; Zhuoran Song; Li Jiang 002 (DATE, 2025)

HyperDyn: Dynamic Dimensional Masking for Efficient Hyper-Dimensional Computing. - Fangxin Liu; Haomin Li 002; Zongwu Wang; Dongxu Lyu; Li Jiang 002 (DATE, 2025)

AsyncDIMM: Achieving Asynchronous Execution in DIMM-Based Near-Memory Processing. - Liyan Chen; Dongxu Lyu; Jianfei Jiang 001; Qin Wang 009; Zhigang Mao; Naifeng Jing (HPCA, 2025)

FATE: Boosting the Performance of Hyper-Dimensional Computing Intelligence with Flexible Numerical DAta TypE. - Haomin Li 002; Fangxin Liu; Yichi Chen; Zongwu Wang; Shiyuan Huang; Ning Yang; Dongxu Lyu; Li Jiang 002 (ISCA, 2025)

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)

Neural Rendering Acceleration With Deferred Neural Decoding and Voxel-Centric Data Flow. - Yuzhou Chen; Zhenyu Li; Dongxu Lyu; Yansong Xu; Guanghui He (IEEE Trans. Comput. Aided Des. Integr. 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)

Bridge-NDP: Efficient Communication-Computation Overlap in Near Data Processing System. - Liyan Chen; Pengyu Liu 004; Dongxu Lyu; Jianfei Jiang 001; Qin Wang 009; Zhigang Mao; Naifeng Jing (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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)