Jindong Li

According to our database, Jindong Li authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• 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

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

PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks.

Guobin Shen, Dongcheng Zhao, Linghao Feng, Xiang He, Jihang Wang, Sicheng Shen, Haibo Tong, Yiting Dong, Jindong Li, Xiang Zheng, Yi Zeng

CoRR, May, 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

FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network With a Spatiotemporal FPGA Accelerator.

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

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 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

FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization.

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

IEEE Trans. Very Large Scale Integr. Syst., August, 2023

Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling.

Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Jindong Li, Kang Sun, Yi Zeng

CoRR, 2023

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

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

CoRR, 2023

FireFly: A High-Throughput and Reconfigurable Hardware Accelerator for Spiking Neural Networks.

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

CoRR, 2023

2020

FPGA-Based Neural Network Acceleration for Handwritten Digit Recognition.

Guobin Shen, Jindong Li, Zhi Zhou, Xiang Chen

Proceedings of the IoT as a Service - 6th EAI International Conference, 2020