Jinlun Ji

According to our database, Jinlun Ji authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

An Adaptive Congestion-aware Approximate Communication (ACAC) scheme and implementation for Network-on-Chip systems.

Shize Zhou, Wenjie Fan, Siyue Li, Yongqi Xue, Shiping Li, Songfeng Deng, Jinlun Ji, Tong Cheng, Xinyu Wang, Li Li, Yuxiang Fu

Integr., 2026

2025

NAME: NoC-based Accelerators Mapping Exploration for High Performance DNN Inference.

Jinlun Ji, Hengyue Gao, Heng Zhang, Yuqi Lu, Kai He, Yulong Song, Wenjie Fan, Li Li, Yuxiang Fu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

FPGA-Par: An Efficient Algorithm for Elegant Partitioning in Multi-FPGA Systems.

Hengyue Gao, Chenyang Dai, Jinlun Ji, Bin Yan, Qiyue Zhao, Jiangtao Yuan, Feng Li, Li Li, Yuxiang Fu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Optimizing Mixed-Precision DNN Scheduling on Heterogeneous SoCs for Enhanced Robustness and Efficiency.

Yulong Song, Qiang Tao, Jinlun Ji, Congyi Sun, Yuxiang Fu, Li Li

Proceedings of the 7th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2025

2024

Automatic Generation and Optimization Framework of NoC-Based Neural Network Accelerator Through Reinforcement Learning.

Yongqi Xue, Jinlun Ji, Xinming Yu, Shize Zhou, Siyue Li, Xinyi Li, Tong Cheng, Shiping Li, Kai Chen, Zhonghai Lu, Li Li, Yuxiang Fu

IEEE Trans. Computers, December, 2024

HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators.

Siyue Li, Shize Zhou, Yongqi Xue, Wenjie Fan, Tong Cheng, Jinlun Ji, Chenyang Dai, Wenqing Song, Qinyu Chen, Chang Gao, Li Li, Yuxiang Fu

IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

TTNNM: Thermal- and Traffic-Aware Neural Network Mapping on 3D-NoC-based Accelerator.

Xinyi Li, Wenjie Fan, Heng Zhang, Jinlun Ji, Tong Cheng, Shiping Li, Li Li, Yuxiang Fu

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Four-class EEG Classification for Seizure Prediction and Detection Using a Lightweight CNN-LSTM.

Heng Zhang, Dan Wang, Jinlun Ji, Xiaohan Xue, Congyi Sun, Xinyu Wang, Qinyu Chen, Yuxiang Fu, Li Li

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

2022

AOME: Autonomous Optimal Mapping Exploration Using Reinforcement Learning for NoC-based Accelerators Running Neural Networks.

Yongqi Xue, Jinlun Ji, Xinyi Li, Siyue Li, Shize Zhou, Tong Cheng, Li Li, Yuxiang Fu

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Work in Progress: ACAC: An Adaptive Congestion-aware Approximate Communication Mechanism for Network-on-Chip Systems.

Shize Zhou, Yongqi Xue, Siyue Li, Jinlun Ji, Tong Cheng, Li Li, Yuxiang Fu

Proceedings of the International Conference on Compilers, 2022