Zhanglu Yan

23 papers A* 3B 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
A Data-Driven Dynamic Execution Orchestration Architecture.
ASPLOS (1)
Zhenyu Bai, Pranav Dangi, Rohan Juneja, Zhaoying Li, Zhanglu Yan, Huiying Lan, Tulika Mitra
2026 J jnl
A Data-Driven Dynamic Execution Orchestration Architecture.
CoRR
Zhenyu Bai, Pranav Dangi, Rohan Juneja, Zhaoying Li, Zhanglu Yan, Huiying Lan, Tulika Mitra
2026 A* conf
Energy-Efficient and Dequantization-Free Quantization of LLMs: A Spiking Neural Network Approach to Salient Value Mitigation.
WWW
Chenyu Wang, Zhanglu Yan, Zhi Zhou, Xu Chen, Weng-Fai Wong
2026 J jnl
Kirin: Improving ANN efficiency with SNN Hybridization.
CoRR
Chenyu Wang, Zhanglu Yan, Zhi Zhou, Xu Chen, Weng-Fai Wong
2026 J jnl
Matterhorn: Efficient Analog Sparse Spiking Transformer Architecture with Masked Time-To-First-Spike Encoding.
CoRR
Zhanglu Yan, Kaiwen Tang, Zixuan Zhu, Zhenyu Bai, Qianhui Liu, Weng-Fai Wong
2026 J jnl
SpikySpace: A Spiking State Space Model for Energy-Efficient Time Series Forecasting.
CoRR
Kaiwen Tang, Jiaqi Zheng, Yuze Jin, Yupeng Qiu, Guangda Sun, Zhanglu Yan, Weng-Fai Wong
2025 J jnl
Energy-Efficient and Dequantization-Free Q-LLMs: A Spiking Neural Network Approach to Salient Value Mitigation.
CoRR
Chenyu Wang, Zhanglu Yan, Zhi Zhou, Xu Chen, Weng-Fai Wong
2025 J jnl
Low Latency Conversion of Artificial Neural Network Models to Rate-Encoded Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Zhanglu Yan, Kaiwen Tang, Jun Zhou, Weng-Fai Wong
2025 J jnl
Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding.
CoRR
Zhanglu Yan, Jiayi Mao, Qianhui Liu, Fanfan Li, Gang Pan, Tao Luo, Bowen Zhu, Weng-Fai Wong
2025 A* conf
Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model.
ICML
Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong
2024 J jnl
Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences.
CoRR
Zhanglu Yan, Weiran Chu, Yuhua Sheng, Kaiwen Tang, Shida Wang, Yanfeng Liu, Weng-Fai Wong
2024 B conf
OneSpike: Ultra-low latency spiking neural networks.
IJCNN
Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong
2024 J jnl
Reconsidering the energy efficiency of spiking neural networks.
CoRR
Zhanglu Yan, Zhenyu Bai, Weng-Fai Wong
2024 J jnl
Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model.
CoRR
Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong
2024 J jnl
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification.
CoRR
Zhanglu Yan, Zhenyu Bai, Tulika Mitra, Weng-Fai Wong
2023 J jnl
CQ$^{+}$+ Training: Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to Spiking Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
2023 — conf
Efficient Hyperdimensional Computing.
ECML/PKDD (2)
Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong
2023 J jnl
Efficient Hyperdimensional Computing.
CoRR
Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong
2023 J jnl
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications.
CoRR
Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong
2023 J jnl
Improve Long-term Memory Learning Through Rescaling the Error Temporally.
CoRR
Shida Wang, Zhanglu Yan
2022 J jnl
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks.
CoRR
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
2021 J jnl
Energy efficient ECG classification with spiking neural network.
Biomed. Signal Process. Control.
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
2021 A* conf
Near Lossless Transfer Learning for Spiking Neural Networks.
AAAI
Zhanglu Yan, Jun Zhou, Weng-Fai Wong