Tao Yang

According to our database, Tao Yang authored at least 29 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LCD: Advancing Extreme Low-Bit Clustering for Large Language Models via Knowledge Distillation.

Fangxin Liu, Ning Yang, Junping Zhao, Tao Yang, Haibing Guan, Li Jiang

CoRR, June, 2025

DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies.

Ning Yang, Fangxin Liu, Junjie Wang, Tao Yang, Kang Liu, Haibing Guan, Li Jiang

CoRR, May, 2025

SpMMPlu-Pro: An Enhanced Compiler Plug-In for Efficient SpMM and Sparsity Propagation Algorithm.

Shiyuan Huang, Fangxin Liu, Tao Yang, Zongwu Wang, Ning Yang, Li Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2025

2024

UM-PIM: DRAM-based PIM with Uniform & Shared Memory Space.

Yilong Zhao, Mingyu Gao, Fangxin Liu, Yiwei Hu, Zongwu Wang, Han Lin, Jin Li, He Xian, Hanlin Dong, Tao Yang, Naifeng Jing, Xiaoyao Liang, Li Jiang

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

T-BUS: Taming Bipartite Unstructured Sparsity for Energy-Efficient DNN Acceleration.

Ning Yang, Fangxin Liu, Zongwu Wang, Zhiyan Song, Tao Yang, Li Jiang

Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer.

Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu, Xiaoyao Liang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks.

Fangxin Liu, Haomin Li, Ning Yang, Zongwu Wang, Tao Yang, Li Jiang

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

PAAP-HD: PIM-Assisted Approximation for Efficient Hyper-Dimensional Computing.

Fangxin Liu, Haomin Li, Ning Yang, Yichi Chen, Zongwu Wang, Tao Yang, Li Jiang

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information.

Zhuoran Song, Wanzhen Liu, Tao Yang, Fangxin Liu, Naifeng Jing, Xiaoyao Liang

IEEE Trans. Parallel Distributed Syst., December, 2023

DTATrans: Leveraging Dynamic Token-Based Quantization With Accuracy Compensation Mechanism for Efficient Transformer Architecture.

Tao Yang, Fei Ma, Xiaoling Li, Fangxin Liu, Yilong Zhao, Zhezhi He, Li Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2023

PASGCN: An ReRAM-Based PIM Design for GCN With Adaptively Sparsified Graphs.

Tao Yang, Dongyue Li, Fei Ma, Zhuoran Song, Yilong Zhao, Jiaxi Zhang, Fangxin Liu, Li Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator.

Fangxin Liu, Zongwu Wang, Yongbiao Chen, Zhezhi He, Tao Yang, Xiaoyao Liang, Li Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

PIMPR: PIM-based Personalized Recommendation with Heterogeneous Memory Hierarchy.

Tao Yang, Hui Ma, Yilong Zhao, Fangxin Liu, Zhezhi He, Xiaoli Sun, Li Jiang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

SpMMPlu: A Compiler Plug-in with Sparse IR for Efficient Sparse Matrix Multiplication.

Tao Yang, Yiyuan Zhou, Qidong Tang, Feng Xu, Hui Ma, Jieru Zhao, Li Jiang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

HyperAttack: An Efficient Attack Framework for HyperDimensional Computing.

Fangxin Liu, Haomin Li, Yongbiao Chen, Tao Yang, Li Jiang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization.

Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yilong Zhao, Tao Yang, Yiran Chen, Li Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

RePAST: A ReRAM-based PIM Accelerator for Second-order Training of DNN.

Yilong Zhao, Li Jiang, Mingyu Gao, Naifeng Jing, Chengyang Gu, Qidong Tang, Fangxin Liu, Tao Yang, Xiaoyao Liang

CoRR, 2022

Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs.

Fangxin Liu, Zongwu Wang, Wenbo Zhao, Yongbiao Chen, Tao Yang, Xiaokang Yang, Li Jiang

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture.

Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture.

Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao Yang, Zhezhi He, Xiaokang Yang, Li Jiang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration.

Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong Tang, Tao Yang, Cheng Zhuo, Li Jiang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization.

Tao Yang, Zhezhi He, Tengchuan Kou, Qingzheng Li, Qi Han, Haibao Yu, Fangxin Liu, Yun Liang, Li Jiang

ACM Trans. Reconfigurable Technol. Syst., 2021

SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.

Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang

CoRR, 2021

An FPGA-Based Neural Network Overlay for ADAS Supporting Multi-Model and Multi-Mode.

Jiaxi Zhang, Tao Yang, Qingzheng Li, Bo Zhou, Yang Yang, Guojie Luo, Jianping Shi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network.

Fangxin Liu, Wenbo Zhao, Zhezhi He, Zongwu Wang, Yilong Zhao, Tao Yang, Jingnai Feng, Xiaoyao Liang, Li Jiang

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration.

Fangxin Liu, Wenbo Zhao, Zongwu Wang, Tao Yang, Li Jiang

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration.

Tao Yang, Dongyue Li, Yibo Han, Yilong Zhao, Fangxin Liu, Xiaoyao Liang, Zhezhi He, Li Jiang

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs.

Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

A Winograd-Based CNN Accelerator with a Fine-Grained Regular Sparsity Pattern.

Tao Yang, Yunkun Liao, Jianping Shi, Yun Liang, Naifeng Jing, Li Jiang

Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020