Fengshi Tian
Orcid: 0000-0003-1304-5593
According to our database1,
Fengshi Tian
authored at least 39 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
An Energy-Efficient Unstructured Sparsity-Aware Deep SNN Accelerator With 3-D Computation Array.
IEEE J. Solid State Circuits, March, 2025
A Resource-Efficient Algorithm-Hardware Co-Design Toward Semi-Supervised Neurological Symptoms Prediction.
IEEE Trans. Instrum. Meas., 2025
A 28nm 0.22μJ/Token Memory-Compute-Intensity-Aware CNN-Transformer Accelerator with Hybrid-Attention-Based Layer-Fusion and Cascaded Pruning for Semantic-Segmentation.
Proceedings of the IEEE International Solid-State Circuits Conference, 2025
NeuroEye: A 54.59mW, 12200FPS Event-Driven Near-Sensor Eye-Tracking Processor with Pipelined Spatial-Temporal Spike-Streaming.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025
A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025
Analysis and Prevention of Coupling-Dependent Data Flipping in Series-Series Resonant Wireless Power Transfer Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025
An Area-Efficient and Bit-Width Configurable Carry-Save Adder Tree for Spiking Transformers.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025
SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis.
Proceedings of the Design, Automation & Test in Europe Conference, 2025
E-NPU: A 34~126nJ/Class Event-Driven Adaptive Neural SoC with Signal-Dynamics-Aware Feature Clustering and Multi-Model In-Memory Inference/Training for Personalized Medical Wearables.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2025
2024
HybMED: A Hybrid Neural Network Training Processor With Multi-Sparsity Exploitation for Internet of Medical Things.
IEEE Trans. Biomed. Circuits Syst., October, 2024
BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
A Low-Power Level-Crossing Analog-to-Spike Converter Intended for Neuromorphic Biomedical Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
ReSCIM: Variation-Resilient High Weight-Loading Bandwidth In-Memory Computation Based on Fine-Grained Hybrid Integration of Multi-Level ReRAM and SRAM Cells.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024
PhotonNTT: Energy-Efficient Parallel Photonic Number Theoretic Transform Accelerator.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
A 0.078 pJ/SOP Unstructured Sparsity-Aware Spiking Attention/Convolution Processor with 3D Compute Array.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024
A Neuron-Inspired 0.0032mm<sup>2</sup>-1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and Transmission.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
2023
Tempo-CIM: A RRAM Compute-in-Memory Neuromorphic Accelerator With Area-Efficient LIF Neuron and Split-Train-Merged-Inference Algorithm for Edge AI Applications.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023
A 510 $\mu$W 0.738-mm$^{2}$ 6.2-pJ/SOP Online Learning Multi-Topology SNN Processor With Unified Computation Engine in 40-nm CMOS.
IEEE Trans. Biomed. Circuits Syst., June, 2023
A 137.5 TOPS/W SRAM Compute-in-Memory Macro with 9-b Memory Cell-Embedded ADCs and Signal Margin Enhancement Techniques for AI Edge Applications.
CoRR, 2023
NBSSN: A Neuromorphic Binary Single-Spike Neural Network for Efficient Edge Intelligence.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
BIOS: A 40nm Bionic Sensor-defined 0.47pJ/SOP, 268.7TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable Healthcare.
Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Late Breaking Results: Weight Decay is ALL You Need for Neural Network Sparsification.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
NOLS: A Near-sensor On-chip Learning System with Direct Feedback Alignment for Personalized Wearable Heart Health Monitoring.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
NMBNN: Noise-Adaptive Memristive Bayesian Neural Network for Energy-Efficient Edge Health Care.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
Binary is All You Need: Ultra-Efficient Arrhythmia Detection with a Binary-Only Compressive System.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
PN-TMS: Pruned Node-fusion Tree-based Multicast Scheme for Efficient Neuromorphic Systems.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
2022
NIMBLE: A Neuromorphic Learning Scheme and Memristor Based Computing-in-Memory Engine for EMG Based Hand Gesture Recognition.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
TAC-RAM: A 65nm 4Kb SRAM Computing-in-Memory Design with 57.55 TOPS/W supporting Multibit Matrix-Vector Multiplication for Binarized Neural Network.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021