Tenglong Li

According to our database, Tenglong Li authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration With Reconfigurable Spatial Architecture.

Tenglong Li, Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng

IEEE Trans. Circuits Syst. I Regul. Pap., August, 2025

DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening.

Zhixiang Lu, Yulong Li, Feilong Tang, Zhengyong Jiang, Chong Li, Mian Zhou, Tenglong Li, Jionglong Su

CoRR, August, 2025

Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA.

Jindong Li, Tenglong Li, Ruiqi Chen, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng

CoRR, July, 2025

FireFly-T: High-Throughput Sparsity Exploitation for Spiking Transformer Acceleration with Dual-Engine Overlay Architecture.

Tenglong Li, Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng

CoRR, May, 2025

STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking.

Sicheng Shen, Dongcheng Zhao, Linghao Feng, Zeyang Yue, Jindong Li, Tenglong Li, Guobin Shen, Yi Zeng

CoRR, May, 2025

<i>SpikePack</i>: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility.

Guobin Shen, Jindong Li, Tenglong Li, Dongcheng Zhao, Yi Zeng

CoRR, January, 2025

Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGA.

Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines.

Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng

Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024

Are Conventional SNNs Really Efficient? A Perspective from Network Quantization.

Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Hopf Bifurcation Analysis of Mixed Traffic and Its Implications for Connected and Autonomous Vehicles.

Tenglong Li, Dong Ngoduy, Xiangmo Zhao

IEEE Trans. Intell. Transp. Syst., June, 2023

Is Conventional SNN Really Efficient? A Perspective from Network Quantization.

Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng

CoRR, 2023

Capturing the equilibrium traffic state hypothesis of car-following models with artificial neural network.

Tenglong Li, Dong Ngoduy, Seunghyeon Lee, Ziyuan Pu

Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023

2021

Bayesian back-calculation and nowcasting for line list data during the COVID-19 pandemic.

Tenglong Li, Laura F. White

PLoS Comput. Biol., 2021