Near Lossless Transfer Learning for Spiking Neural Networks. - Zhanglu Yan; Jun Zhou 014; Weng-Fai Wong (AAAI, 2021)

Energy efficient ECG classification with spiking neural network. - Zhanglu Yan; Jun Zhou 014; Weng-Fai Wong (Biomed. Signal Process. Control., 2021)

Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks. - Zhanglu Yan; Jun Zhou 014; Weng-Fai Wong (CoRR, 2022)

Efficient Hyperdimensional Computing. - Zhanglu Yan; Shida Wang; Kaiwen Tang; Weng-Fai Wong (ECML/PKDD (2), 2023)

Improve Long-term Memory Learning Through Rescaling the Error Temporally. - Shida Wang; Zhanglu Yan (CoRR, 2023)

HyperSNN: A new efficient and robust deep learning model for resource constrained control applications. - Zhanglu Yan; Shida Wang; Kaiwen Tang; Weng-Fai Wong (CoRR, 2023)

CQ$^{+}$+ Training: Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to Spiking Neural Networks. - Zhanglu Yan; Jun Zhou 014; Weng-Fai Wong (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

OneSpike: Ultra-low latency spiking neural networks. - Kaiwen Tang; Zhanglu Yan; Weng-Fai Wong (IJCNN, 2024)

Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences. - Zhanglu Yan; Weiran Chu; Yuhua Sheng; Kaiwen Tang; Shida Wang; Yanfeng Liu; Weng-Fai Wong (CoRR, 2024)

SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification. - Zhanglu Yan; Zhenyu Bai; Tulika Mitra; Weng-Fai Wong (CoRR, 2024)

Reconsidering the energy efficiency of spiking neural networks. - Zhanglu Yan; Zhenyu Bai; Weng-Fai Wong (CoRR, 2024)

Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model. - Kaiwen Tang; Zhanglu Yan; Weng-Fai Wong (CoRR, 2024)