A Winograd-Based CNN Accelerator with a Fine-Grained Regular Sparsity Pattern. - Tao Yang 031; Yunkun Liao; Jianping Shi; Yun Liang 001; Naifeng Jing; Li Jiang 002 (FPL, 2020)

AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. - Dongyue Li; Tao Yang 031; Lun Du; Zhezhi He; Li Jiang 002 (CIKM, 2021)

PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration. - Tao Yang 031; Dongyue Li; Yibo Han; Yilong Zhao; Fangxin Liu; Xiaoyao Liang; Zhezhi He; Li Jiang 002 (DAC, 2021)

IM3A: Boosting Deep Neural Network Efficiency via In-Memory Addressing-Assisted Acceleration. - Fangxin Liu; Wenbo Zhao 005; Zongwu Wang; Tao Yang 031; Li Jiang 002 (ACM Great Lakes Symposium on VLSI, 2021)

SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. - Fangxin Liu; Wenbo Zhao 005; Zhezhi He; Zongwu Wang; Yilong Zhao; Tao Yang 031; Jingnai Feng; Xiaoyao Liang; Li Jiang 002 (ICCD, 2021)

An FPGA-Based Neural Network Overlay for ADAS Supporting Multi-Model and Multi-Mode. - Jiaxi Zhang 001; Tao Yang 031; Qingzheng Li; Bo Zhou; Yang Yang; Guojie Luo; Jianping Shi (ISCAS, 2021)

SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network. - Fangxin Liu; Wenbo Zhao 005; Yilong Zhao; Zongwu Wang; Tao Yang 031; Zhezhi He; Naifeng Jing; Xiaoyao Liang; Li Jiang 002 (CoRR, 2021)

BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization. - Tao Yang 031; Zhezhi He; Tengchuan Kou; Qingzheng Li; Qi Han; Haibao Yu; Fangxin Liu; Yun Liang 001; Li Jiang 002 (ACM Trans. Reconfigurable Technol. Syst., 2021)

PIM-DH: ReRAM-based processing-in-memory architecture for deep hashing acceleration. - Fangxin Liu; Wenbo Zhao 005; Yongbiao Chen; Zongwu Wang; Zhezhi He; Rui Yang; Qidong Tang; Tao Yang 031; Cheng Zhuo; Li Jiang 002 (DAC, 2022)

SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture. - Fangxin Liu; Wenbo Zhao 005; Zongwu Wang; Yongbiao Chen; Tao Yang 031; Zhezhi He; Xiaokang Yang 001; Li Jiang 002 (DAC, 2022)

DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture. - Tao Yang 031; Dongyue Li; Zhuoran Song; Yilong Zhao; Fangxin Liu; Zongwu Wang; Zhezhi He; Li Jiang 002 (DATE, 2022)

Randomize and Match: Exploiting Irregular Sparsity for Energy Efficient Processing in SNNs. - Fangxin Liu; Zongwu Wang; Wenbo Zhao 005; Yongbiao Chen; Tao Yang 031; Xiaokang Yang 001; Li Jiang 002 (ICCD, 2022)

RePAST: A ReRAM-based PIM Accelerator for Second-order Training of DNN. - Yilong Zhao; Li Jiang 002; Mingyu Gao 001; Naifeng Jing; Chengyang Gu; Qidong Tang; Fangxin Liu; Tao Yang 031; Xiaoyao Liang (CoRR, 2022)

IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization. - Fangxin Liu; Wenbo Zhao 005; Zongwu Wang; Yilong Zhao; Tao Yang 031; Yiran Chen 001; Li Jiang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

HyperAttack: An Efficient Attack Framework for HyperDimensional Computing. - Fangxin Liu; Haomin Li 002; Yongbiao Chen; Tao Yang 031; Li Jiang 002 (DAC, 2023)

SpMMPlu: A Compiler Plug-in with Sparse IR for Efficient Sparse Matrix Multiplication. - Tao Yang 031; Yiyuan Zhou; Qidong Tang; Feng Xu; Hui Ma; Jieru Zhao; Li Jiang 002 (DAC, 2023)

PIMPR: PIM-based Personalized Recommendation with Heterogeneous Memory Hierarchy. - Tao Yang 031; Hui Ma; Yilong Zhao; Fangxin Liu; Zhezhi He; Xiaoli Sun; Li Jiang 002 (DATE, 2023)

SoBS-X: Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator. - Fangxin Liu; Zongwu Wang; Yongbiao Chen; Zhezhi He; Tao Yang 031; Xiaoyao Liang; Li Jiang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

PASGCN: An ReRAM-Based PIM Design for GCN With Adaptively Sparsified Graphs. - Tao Yang 031; Dongyue Li; Fei Ma; Zhuoran Song; Yilong Zhao; Jiaxi Zhang 001; Fangxin Liu; Li Jiang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

DTATrans: Leveraging Dynamic Token-Based Quantization With Accuracy Compensation Mechanism for Efficient Transformer Architecture. - Tao Yang 031; Fei Ma; Xiaoling Li; Fangxin Liu; Yilong Zhao; Zhezhi He; Li Jiang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information. - Zhuoran Song; Wanzhen Liu; Tao Yang 031; Fangxin Liu; Naifeng Jing; Xiaoyao Liang (IEEE Trans. Parallel Distributed Syst., 2023)

PAAP-HD: PIM-Assisted Approximation for Efficient Hyper-Dimensional Computing. - Fangxin Liu; Haomin Li 002; Ning Yang; Yichi Chen; Zongwu Wang; Tao Yang 031; Li Jiang 002 (ASPDAC, 2024)

TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks. - Fangxin Liu; Haomin Li 002; Ning Yang; Zongwu Wang; Tao Yang 031; Li Jiang 002 (ASPDAC, 2024)

Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer. - Xueyuan Liu 001; Zhuoran Song; Xiang Liao; Xing Li; Tao Yang 031; Fangxin Liu; Xiaoyao Liang (DATE, 2024)

T-BUS: Taming Bipartite Unstructured Sparsity for Energy-Efficient DNN Acceleration. - Ning Yang; Fangxin Liu; Zongwu Wang; Zhiyan Song; Tao Yang 031; Li Jiang 002 (ICCD, 2024)

UM-PIM: DRAM-based PIM with Uniform & Shared Memory Space. - Yilong Zhao; Mingyu Gao 001; Fangxin Liu; Yiwei Hu; Zongwu Wang; Han Lin; Jin Li 002; He Xian; Hanlin Dong; Tao Yang 031; Naifeng Jing; Xiaoyao Liang; et al. (ISCA, 2024)

SpMMPlu-Pro: An Enhanced Compiler Plug-In for Efficient SpMM and Sparsity Propagation Algorithm. - Shiyuan Huang; Fangxin Liu; Tao Yang 031; Zongwu Wang; Ning Yang; Li Jiang 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies. - Ning Yang; Fangxin Liu; Junjie Wang; Tao Yang 031; Kang Liu 001; Haibing Guan; Li Jiang 002 (CoRR, 2025)

LCD: Advancing Extreme Low-Bit Clustering for Large Language Models via Knowledge Distillation. - Fangxin Liu; Ning Yang; Junping Zhao; Tao Yang 031; Haibing Guan; Li Jiang 002 (CoRR, 2025)