Defying Multi-Model Forgetting in One-Shot Neural Architecture Search Using Orthogonal Gradient Learning.
IEEE Trans. Computers, May, 2025
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning.
CoRR, May, 2025
Multi-Scale Hybrid Attention Convolutional Neural Network for Automatic Segmentation of Lumbar Vertebrae From MRI.
IEEE Access, 2024
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
A Large-Scale Multi-objective Brain Storm Optimization Algorithm Based on Direction Vectors and Variance Analysis.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023
Neural Architecture Search Based on Improved Brain Storm Optimization Algorithm.
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023
Information extraction of Chinese medical electronic records via evolutionary neural architecture search.
Proceedings of the IEEE International Conference on Data Mining, 2023
Multiple Residual Quantization of Pruning.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022
A Surrogate-Assisted Many-Objective Evolutionary Algorithm Using Multi- Classification and Coevolution for Expensive Optimization Problems.
IEEE Access, 2021