Publications by Yizhi Chen
Peer reviewed
Articles
[1]
W. Zhu, Y. Chen and Z. Lu, "NoCDAS : A Cycle-Accurate NoC-Based Deep Neural Network Accelerator Simulator," ACM Transactions on Modeling and Computer Simulation, vol. 35, no. 4, pp. 1-24, 2025.
[2]
W. Zhu et al., "Amputee Gait Phase Recognition Using Multiple GMM-HMM," IEEE Access, vol. 12, pp. 193796-193806, 2024.
[3]
Y. Nevarez et al., "CNN Sensor Analytics With Hybrid-Float6 Quantization on Low-Power Embedded FPGAs," IEEE Access, vol. 11, pp. 4852-4868, 2023.
[4]
W. Zhu et al., "Redundancy Reduction for Sensor Deployment in Prosthetic Socket : A Case Study," Sensors, vol. 22, no. 9, pp. 3103, 2022.
Conference papers
[5]
Y. Chen and A. Hemani, "Late Breaking Results: Quamba-SE : Soft-edgeQuantizer for Activations in State Space Models," in Design, Automation and Test in Europe Conference - DATE 2026, Verona, Italy. 20-22 April 2026, 2026.
[6]
R. Han et al., "’1’-bit Count-based Sorting Unit to Reduce Link Power in DNN Accelerators," in Proceedings 2026 International VLSI Symposium on Technology, Systems and Applications (2026 VLSI TSA), 2026.
[7]
Y. Chen et al., "Bit Transition Reduction by Data Transmission Ordering in NoC-based DNN Accelerator," in Proceedings - 2025 IEEE 38th International System-on-Chip Conference, SOCC 2025, 2025.
[8]
W. Zhu, Y. Chen and Z. Lu, "Pooling On-the-Go for NoC-Based Convolutional Neural Network Accelerator," in Embedded Computer Systems: Architectures, Modeling, and Simulation - 24th International Conference, SAMOS 2024, Proceedings, 2025, pp. 109-118.
[9]
Y. Chen, W. Zhu and Z. Lu, "Travel Time-Based Task Mapping for NoC-Based DNN Accelerator," in Embedded Computer Systems: Architectures, Modeling, and Simulation - 24th International Conference, SAMOS 2024, Proceedings, 2025, pp. 76-92.
[10]
W. Zhu, Y. Chen and Z. Lu, "Activation in Network for NoC-Based Deep Neural Network Accelerator," in 2024 International VLSI Symposium on Technology, Systems and Applications, VLSI TSA 2024 - Proceedings, 2024.
[11]
Y. Chen et al., "Impact of Image Sensor Input Faults on Pruned Neural Networks for Object Detection," in 37th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2024, 2024.
[12]
Y. Chen et al., "Accelerating Non-Negative Matrix Factorization on Embedded FPGA with Hybrid Logarithmic Dot-Product Approximation," in Proceedings : 2022 IEEE 15th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2022, 2022, pp. 239-246.
[13]
Y. Chen et al., "Online Image Sensor Fault Detection for Autonomous Vehicles," in Proceedings : 2022 IEEE 15th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2022, 2022, pp. 120-127.
[14]
Z. Lu et al., "Wearable pressure sensing for lower limb amputees," in BioCAS 2022 : IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings, 2022, pp. 105-109.
[15]
Y. Chen, A. Najafi and A. Garcia-Ortiz, "On the effects of data distribution on small-error approximate adders," in 2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST), 2020.
Non-peer reviewed
Theses
[16]
Y. Chen, "Embedded Machine Learning : Reliability and Performance Enhancement," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2026:46, 2026.
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2026-06-07 22:07:40 UTC