Zihan Xia

Orcid: 0000-0002-5409-321X

Affiliations:
  • University of Electronic Science and Technology of China, Chengdu, China


According to our database1, Zihan Xia authored at least 14 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
DmNE: A Dual-Mode Neural Engine for Multiplicative and Multiplication-Free Kernels With Fine-Grained Precision Scaling and Processing Elementwise Power Gating.
IEEE J. Solid State Circuits, March, 2026

TRIM: Acceleration of Multiplication-Less Neural Networks via Versatile Sparsities.
IEEE Trans. Circuits Syst. I Regul. Pap., February, 2026

FSNAP: An Ultra-Energy-Efficient Reconfigurable Few-Spikes-Neuron-Based SNN Processor Supporting Unified On-Chip Learning and Adaptive Time-Window Tuning.
IEEE J. Solid State Circuits, February, 2026

2025
FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash.
CoRR, October, 2025

Exploiting Chiplet Integration Technology for Fast High-Capacity DRAM Modules.
IEEE Trans. Very Large Scale Integr. Syst., May, 2025

A 4.86-pJ/b Energy-Efficient Fully Parallel Stochastic LDPC Decoder With Two-Stage Shared Memory.
IEEE Trans. Very Large Scale Integr. Syst., April, 2025

Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

Hybrid SLC-MLC RRAM Mixed-Signal Processing-in-Memory Architecture for Transformer Acceleration via Gradient Redistribution.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025


2024
FSNAP: An Ultra-Energy-Efficient Few-Spikes-Neuron Based Reconfigurable SNN Processor Enabling Unified On-Chip Learning and Accuracy-Driven Adaptive Time-Window Tuning.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

2022
An Ultra-Energy-Efficient and High Accuracy ECG Classification Processor With SNN Inference Assisted by On-Chip ANN Learning.
IEEE Trans. Biomed. Circuits Syst., 2022

2021
Neural Synaptic Plasticity-Inspired Computing: A High Computing Efficient Deep Convolutional Neural Network Accelerator.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Reconfigurable Neural Synaptic Plasticity-Based Stochastic Deep Neural Network Computing.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

2020
Neural Synaptic Plasticity-Like Computing: An Ultra-Low Cost Approach for Artificial Neural Networks Implementation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020


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