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2020 – today
- 2025
[j10]Wenjie Li
, Gang Wang, Dongxu Lyu, Ningyi Xu, Guanghui He:
Efficient Hardware Architecture Design for Rotary Position Embedding of Large Language Models. IEEE J. Emerg. Sel. Topics Circuits Syst. 15(2): 244-257 (2025)- [j9]Siqi Cai, Gang Wang, Wenjie Li, Dongxu Lyu, Guanghui He:
Adaptive Two-Range Quantization and Hardware Co-Design for Large Language Model Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 15(2): 272-284 (2025) - [j8]Yuzhou Chen, Zhenyu Li, Dongxu Lyu, Yansong Xu, Guanghui He:
Neural Rendering Acceleration With Deferred Neural Decoding and Voxel-Centric Data Flow. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(7): 2725-2737 (2025) - [j7]Liyan Chen, Pengyu Liu, Dongxu Lyu, Jianfei Jiang, Qin Wang, Zhigang Mao, Naifeng Jing:
Bridge-NDP: Efficient Communication-Computation Overlap in Near Data Processing System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(8): 2939-2951 (2025) - [j6]Dongxu Lyu, Zhenyu Li, Yansong Xu, Gang Wang, Wenjie Li, Yuzhou Chen, Liyan Chen, Weifeng He, Guanghui He:
An Efficient Multi-View Cross-Attention Accelerator for Vision-Centric 3D Perception in Autonomous Driving. IEEE Trans. Circuits Syst. I Regul. Pap. 72(7): 3272-3285 (2025) - [j5]Gang Wang, Siqi Cai, Wenjie Li, Dongxu Lyu, Guanghui He:
OFQ-LLM: Outlier-Flexing Quantization for Efficient Low-Bit Large Language Model Acceleration. IEEE Trans. Circuits Syst. I Regul. Pap. 72(8): 4077-4090 (2025) - [c10]Liyan Chen, Dongxu Lyu, Zhenyu Li, Jianfei Jiang, Qin Wang, Zhigang Mao, Naifeng Jing:
AttenPIM: Accelerating LLM Attention with Dual-mode GEMV in Processing-in-Memory. DAC 2025: 1-7 - [c9]Zhenyu Li, Dongxu Lyu, Gang Wang, Yuzhou Chen, Liyan Chen, Wenjie Li, Jianfei Jiang, Yanan Sun, Guanghui He:
KVO-LLM: Boosting Long-Context Generation Throughput for Batched LLM Inference. DAC 2025: 1-7 - [c8]Gang Wang, Siqi Cai, Zhenyu Li, Wenjie Li, Dongxu Lyu, Yanan Sun, Jianfei Jiang, Guanghui He:
BitPattern: Enabling Efficient Bit-Serial Acceleration of Deep Neural Networks through Bit-Pattern Pruning. DAC 2025: 1-7 - [c7]Haomin Li, Fangxin Liu, Zongwu Wang, Dongxu Lyu, Shiyuan Huang, Ning Yang, Qi Sun, Zhuoran Song, Li Jiang:
TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism. DATE 2025: 1-7 - [c6]Fangxin Liu, Haomin Li, Zongwu Wang, Dongxu Lyu, Li Jiang:
HyperDyn: Dynamic Dimensional Masking for Efficient Hyper-Dimensional Computing. DATE 2025: 1-7 - [c5]Liyan Chen, Dongxu Lyu, Jianfei Jiang, Qin Wang, Zhigang Mao, Naifeng Jing:
AsyncDIMM: Achieving Asynchronous Execution in DIMM-Based Near-Memory Processing. HPCA 2025: 518-532 - [c4]Haomin Li, Fangxin Liu, Yichi Chen, Zongwu Wang, Shiyuan Huang, Ning Yang, Dongxu Lyu, Li Jiang:
FATE: Boosting the Performance of Hyper-Dimensional Computing Intelligence with Flexible Numerical DAta TypE. ISCA 2025: 1269-1282 - 2024
- [j4]Wenjie Li, Dongxu Lyu, Gang Wang, Aokun Hu, Ningyi Xu, Guanghui He:
Hardware-oriented algorithms for softmax and layer normalization of large language models. Sci. China Inf. Sci. 67(10) (2024) - [j3]Gang Wang, Siqi Cai, Wenjie Li, Dongxu Lyu, Guanghui He:
BSViT: A Bit-Serial Vision Transformer Accelerator Exploiting Dynamic Patch and Weight Bit-Group Quantization. IEEE Trans. Circuits Syst. I Regul. Pap. 71(9): 4064-4077 (2024) - [j2]Yuzhou Chen, Jinming Zhang, Dongxu Lyu, Zhenyu Li, Guanghui He:
A Broad-Spectrum and High-Throughput Compression Engine for Neural Network Processors. IEEE Trans. Circuits Syst. II Express Briefs 71(7): 3528-3532 (2024) - [j1]Jinming Zhang, Xuyan Wang, Yaoyao Ye, Dongxu Lyu, Guojie Xiong, Ningyi Xu, Yong Lian, Guanghui He:
M2M: A Fine-Grained Mapping Framework to Accelerate Multiple DNNs on a Multi-Chiplet Architecture. IEEE Trans. Very Large Scale Integr. Syst. 32(10): 1864-1877 (2024) - [c3]Yansong Xu, Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Zilong Wang, Gang Wang, Zhican Wang, Haomin Li, Guanghui He:
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. DAC 2024: 24:1-24:6 - [i2]Yansong Xu, Dongxu Lyu, Zhenyu Li, Zilong Wang, Yuzhou Chen, Gang Wang, Zhican Wang, Haomin Li, Guanghui He:
DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. CoRR abs/2403.10913 (2024) - 2023
- [c2]Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Ningyi Xu, Guanghui He:
FLNA: An Energy-Efficient Point Cloud Feature Learning Accelerator with Dataflow Decoupling. DAC 2023: 1-6 - [c1]Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He:
SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing. ICCAD 2023: 1-9 - [i1]Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He:
SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing. CoRR abs/2308.09249 (2023)
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