Jindong Li

Orcid: 0000-0002-4009-916X

Affiliations:
  • Institute of Automation, Chinese Academy of Sciences, Beijing, China


According to our database1, Jindong Li authored at least 23 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

From Generic Correlation to Input-Specific Credit in On-Policy Self Distillation.
CoRR, May, 2026

Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information.
CoRR, May, 2026

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

FP8ApproxLib: An FPGA-based approximate multiplier library for 8-bit floating point.
J. Syst. Archit., 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

2025
Safety Instincts: LLMs Learn to Trust Their Internal Compass for Self-Defense.
CoRR, October, 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

PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks.
CoRR, May, 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
FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network With a Spatiotemporal FPGA Accelerator.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 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
FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization.
IEEE Trans. Very Large Scale Integr. Syst., August, 2023

Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling.
CoRR, 2023

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

FireFly: A High-Throughput and Reconfigurable Hardware Accelerator for Spiking Neural Networks.
CoRR, 2023

2020
FPGA-Based Neural Network Acceleration for Handwritten Digit Recognition.
Proceedings of the IoT as a Service - 6th EAI International Conference, 2020


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