Yifan Qin
Orcid: 0000-0002-0092-7872
According to our database1,
Yifan Qin
authored at least 30 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
A dynamic constrained multi-objective evolutionary algorithm with a dual prediction mechanism.
Expert Syst. Appl., 2026
2025
Performance of DeepSeek-R1 and ChatGPT-4o on the Chinese National Medical Licensing Examination: A Comparative Study.
J. Medical Syst., December, 2025
IEEE Trans. Mob. Comput., August, 2025
IEEE Internet Things Mag., May, 2025
IEEE Wirel. Commun., April, 2025
A domain-transformed surrogate-assisted differential evolutionary algorithm for hyperparameter optimisation of satellite handover strategy.
Inf. Sci., 2025
15.3 A 65nm Uncertainty-Quantifiable Ventricular Arrhythmia Detection Engine with 1.75µJ Per Inference.
Proceedings of the IEEE International Solid-State Circuits Conference, 2025
A 10.60 μW 150 GOPS Mixed-Bit-Width Sparse CNN Accelerator for Life-Threatening Ventricular Arrhythmia Detection.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025
2024
RIS-Based on-the-Air Semantic Communications - A Diffractional Deep Neural Network Approach.
IEEE Wirel. Commun., August, 2024
B<sup>2</sup>-Bandit: Budgeted Pricing With Blocking Constraints for Metaverse Crowdsensing Under Uncertainty.
IEEE J. Sel. Areas Commun., March, 2024
A dimensional difference-based population size adjustment framework for differential evolution.
Inf. Sci., March, 2024
CIR-DE: A chaotic individual regeneration mechanism for solving the stagnation problem in differential evolution.
Swarm Evol. Comput., 2024
Ship target detection in the restricted parking area of ship lock chamber based on laser point cloud bird's-eye view.
Proceedings of the 6th International Conference on Internet of Things, 2024
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024
Towards Uncertainty-Quantifiable Biomedical Intelligence: Mixed-signal Compute-in-Entropy for Bayesian Neural Networks.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024
Special Session: Sustainable Deployment of Deep Neural Networks on Non-Volatile Compute-in-Memory Accelerators.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2024
2023
Neural Comput. Appl., May, 2023
Negative Feedback Training: A Novel Concept to Improve Robustness of NVCiM DNN Accelerators.
CoRR, 2023
CryoFormer: Continuous Reconstruction of 3D Structures from Cryo-EM Data using Transformer-based Neural Representations.
CoRR, 2023
On the Viability of Using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Accelerators.
Proceedings of the 36th IEEE International System-on-Chip Conference, 2023
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators Through Training with Right-Censored Gaussian Noise.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Evaluation of digital transformation programs for manufacturing enterprises based on D-S and intuitionistic fuzzy TOPSIS model.
Proceedings of the 2023 3rd International Conference on Big Data, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Progressive-encoding-based transmission for DNN-enabled edge intelligence in unreliable network.
Theor. Comput. Sci., 2022
Numer. Algorithms, 2022
2021
The study of exact and numerical solutions of the generalized viscous Burgers' equation.
Appl. Math. Lett., 2021
Joint Optimization of Area Spectral Efficiency and Fairness in Ultra-Dense Networks with Application of Joint Transmission.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021
2017
CoRR, 2017
2016
A multiplication reduction technique with near-zero approximation for embedded learning in IoT devices.
Proceedings of the 29th IEEE International System-on-Chip Conference, 2016
Proceedings of the IEEE International Conference on RFID Technology and Applications, 2016