A deep learning model for predicting selected organic molecular spectra. - Zihan Zou; Yujin Zhang; Lijun Liang; Mingzhi Wei; Jiancai Leng; Jun Jiang; Yi Luo 003; Wei Hu (Nat. Comput. Sci., 2023)

FDCA: Fine-grained Digital-CIM based CNN Accelerator with Hybrid Quantization and Weight-Stationary Dataflow. - Bo Liu 019; Qingwen Wei; Yang Zhang 132; Xingyu Xu 008; Zihan Zou; Xinxiang Huang; Xin Si; Hao Cai 001 (DAC, 2024)

An Index-free Coding Compression Mechanism for Vision Transformers. - Han Yan; Zihan Zou; Shikuang Chen; Chen Zhang; Guang Yang 036; Hao Cai 001; Bo Liu 019 (ICTA, 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 001; Bo Liu 019 (ISCAS, 2024)

Asymptotic stability of neutral stochastic pantograph systems with Markovian switching. - Zihan Zou; Yinfang Song; Quanxin Zhu; Chi Zhao (Int. J. Control, 2024)

Layer-Sensitive Neural Processing Architecture for Error-Tolerant Applications. - Zeju Li; Qinfan Wang; Zihan Zou; Qiao Shen 001; Na Xie; Hao Cai 001; Hao Zhang 111; Bo Liu 019 (IEEE Trans. Very Large Scale Integr. Syst., 2024)

TWDP: A Vision Transformer Accelerator with Token-Weight Dual-Pruning Strategy for Edge Device Deployment. - Guang Yang 036; Xinming Yan; Hui Kou; Zihan Zou; Qingwen Wei; Hao Cai 001; Bo Liu 019 (ASP-DAC, 2025)

A 52.03TOPS/W DCIM-Based Accelerator with FlashAttention and Sparsity-Aware Alignment for LLMs. - Bo Liu 019; Xingyu Xu 008; Yang Zhang 132; Xilong Kang; Qingwen Wei; Zihan Zou; Jun Yang 006; Hao Cai 001; Xin Si (CICC, 2025)

QMe14S, A Comprehensive and Efficient Spectral Dataset for Small Organic Molecules. - Mingzhi Yuan; Zihan Zou; Wei Hu (CoRR, 2025)