Zihan Zou

According to our database, Zihan Zou authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

A 51.6μJ/Token Subspace-Rotation-Based Dual-Quantized Large-language-Model Accelerator with Fused Scale-Activation INT Datapath and Rearranged Bit-Slice LUT Computation.

Bo Liu, Zihan Zou, Xinming Yan, Xilong Kang, Xinyang Chen, Bo Hu, Jiaming Lin, Haoran Du, Jun Yang, Xin Si, Hao Cai

Proceedings of the IEEE International Solid-State Circuits Conference, 2026

2025

PF²A-ViT: Parameter-Free and Feature-Aware Dynamic Token Pruning Accelerator With Complementary Quantization-Encoding for Vision Transformer.

Zihan Zou, Xinming Yan, Chen Zhang, Shikuang Chen, Guang Yang, Han Yan, Hao Cai, Bo Liu

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

A Universal Deep Learning Force Field for Molecular Dynamic Simulation and Vibrational Spectra Prediction.

Shengjiao Ji, Yujin Zhang, Zihan Zou, Bin Jiang, Jun Jiang, Yi Luo, Wei Hu

CoRR, October, 2025

QMe14S, A Comprehensive and Efficient Spectral Dataset for Small Organic Molecules.

Mingzhi Yuan, Zihan Zou, Wei Hu

CoRR, January, 2025

S-DMA: Sparse Diffusion Models Acceleration via Spatiality-Aware Prediction and Dimension-Adaptive Dataflow.

Zihan Zou, Xinming Yan, Shun Zhang, Peng Zheng, Guang Yang, Hao Cai, Bo Liu

Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

SparCIM: A Heterogeneous CIM-Based Accelerator for Large Language Models with Contextual and Unstructured Bit Sparsity.

Xingyu Xu, Yuan Song, Bo Hu, Peng Zheng, Zihan Zou, Xin Si, Bo Liu

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

OutlierCIM: Outlier-Aware Digital CIM-Based LLM Accelerator with Hybrid-Strategy Quantization and Unified FP-INT Computation.

Zihan Zou, Shikuang Chen, Chen Zhang, Xing Wang, Zhichao Liu, Haoran Du, Xin Si, Hao Cai, Bo Liu

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

A 52.03TOPS/W DCIM-Based Accelerator with FlashAttention and Sparsity-Aware Alignment for LLMs.

Bo Liu, Xingyu Xu, Yang Zhang, Xilong Kang, Qingwen Wei, Zihan Zou, Jun Yang, Hao Cai, Xin Si

Proceedings of the IEEE Custom Integrated Circuits Conference, 2025

TWDP: A Vision Transformer Accelerator with Token-Weight Dual-Pruning Strategy for Edge Device Deployment.

Guang Yang, Xinming Yan, Hui Kou, Zihan Zou, Qingwen Wei, Hao Cai, Bo Liu

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Layer-Sensitive Neural Processing Architecture for Error-Tolerant Applications.

Zeju Li, Qinfan Wang, Zihan Zou, Qiao Shen, Na Xie, Hao Cai, Hao Zhang, Bo Liu

IEEE Trans. Very Large Scale Integr. Syst., May, 2024

Asymptotic stability of neutral stochastic pantograph systems with Markovian switching.

Zihan Zou, Yinfang Song, Quanxin Zhu, Chi Zhao

Int. J. Control, 2024

Live Demonstration: A Target-Separable BWN Inspired Speech Recognition Processor with Low-power Precision-adaptive Approximate Computing.

Chenjie Xia, Xuanhao Zhang, Zihan Zou, Hao Cai, Bo Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

An Index-free Coding Compression Mechanism for Vision Transformers.

Han Yan, Zihan Zou, Shikuang Chen, Chen Zhang, Guang Yang, Hao Cai, Bo Liu

Proceedings of the IEEE International Conference on Integrated Circuits, 2024

FDCA: Fine-grained Digital-CIM based CNN Accelerator with Hybrid Quantization and Weight-Stationary Dataflow.

Bo Liu, Qingwen Wei, Yang Zhang, Xingyu Xu, Zihan Zou, Xinxiang Huang, Xin Si, Hao Cai

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

A deep learning model for predicting selected organic molecular spectra.

Zihan Zou, Yujin Zhang, Lijun Liang, Mingzhi Wei, Jiancai Leng, Jun Jiang, Yi Luo, Wei Hu

Nat. Comput. Sci., 2023