Tenglong Li

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
FireFly-T: High-Throughput Sparsity Exploitation for Spiking Transformer Acceleration With Dual-Engine Overlay Architecture.
IEEE Trans. Computers, June, 2026

ForesightSafety Bench: A Frontier Risk Evaluation and Governance Framework towards Safe AI.
CoRR, February, 2026

YOLOv8-MLD: A Lightweight Method for Weed Detection in Cornfields.
IEEE Access, 2026

FireFly-P: FPGA-Accelerated Spiking Neural Network Plasticity for Robust Adaptive Control.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

Hummingbird+: Advancing FPGA-based LLM Deployment from Research Prototype to Edge Product.
Proceedings of the 2026 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2026

DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration With Reconfigurable Spatial Architecture.
IEEE Trans. Circuits Syst. I Regul. Pap., August, 2025

<i>SpikePack</i>: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility.
CoRR, January, 2025

STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGA.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024
Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines.
Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024

Are Conventional SNNs Really Efficient? A Perspective from Network Quantization.
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.
IEEE Trans. Intell. Transp. Syst., June, 2023

Is Conventional SNN Really Efficient? A Perspective from Network Quantization.
CoRR, 2023

Capturing the equilibrium traffic state hypothesis of car-following models with artificial neural network.
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.
PLoS Comput. Biol., 2021


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