Efficient FPGA design for Convolutions in CNN based on FFT-pruning. - Liulu He; Xiaoru Xie; Jun Lin 001; Zhongfeng Wang 001 (APCCAS, 2020)

Accelerating 3D Convolutional Neural Networks Using 3D Fast Fourier Transform. - Chao Fang; Liulu He; Haonan Wang; Jinghe Wei; Zhongfeng Wang 001 (ISCAS, 2021)

Automatic Generation of Dynamic Inference Architecture for Deep Neural Networks. - Shize Zhao; Liulu He; Xiaoru Xie; Jun Lin 001; Zhongfeng Wang 001 (SiPS, 2021)

Rethinking Adaptive Computing: Building a Unified Model Complexity-Reduction Framework With Adversarial Robustness. - Meiqi Wang; Liulu He; Jun Lin 001; Zhongfeng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Vibration-Signal-Based Deep Noisy Filtering Model for Online Transformer Diagnosis. - Zhikai Xing; Yigang He; Xiao Wang 058; Jianfei Chen; Bolun Du; Liulu He; Xiaoyu Liu (IEEE Trans. Ind. Informatics, 2023)

SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic. - Liulu He; Yufei Zhao; Rui Gao; Yuan Du; Li Du (ICML, 2024)

Robust hyperbolic tangent Geman-McClure adaptive filter based on NKP decomposition and its performance analysis. - Qianqian Liu; Liulu He; Shuguang Ning (Signal Image Video Process., 2024)

A novel robust frequency domain widely linear quaternion adaptive filtering algorithm. - Qianqian Liu; Liulu He (Digit. Signal Process., 2025)

FBQuant: FeedBack Quantization for Large Language Models. - Yijiang Liu; Hengyu Fang; Liulu He; Rongyu Zhang; Yichuan Bai; Yuan Du; Li Du (CoRR, 2025)

BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models. - Liulu He; Shenli Zhen; Karwei Sun; Yijiang Liu; Yufei Zhao; Chongkang Tan; Huanrui Yang; Yuan Du; Li Du (CoRR, 2025)

An Unsupervised Approach to Power Transformer Early Fault Warning Based on PMCAEN and SVDD. - Yazhong Zhou; Yigang He; Zhikai Xing; Lei Wang 147; Kaixuan Shao; Liulu He; Chenran Zhang; Wenyue Li (IEEE Trans. Ind. Informatics, 2025)