Soft Taylor Pruning for Accelerating Deep Convolutional Neural Networks. - Jintao Rong; Xiyi Yu; Mingyang Zhang 007; Linlin Ou (IECON, 2020)

De-IReps: Searching for improved Re-parameterizing Architecture based on Differentiable Evolution Strategy. - Xinyi Yu; Xiaowei Wang; Mingyang Zhang 007; Jintao Rong; Linlin Ou (CoRR, 2022)

Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification. - Jintao Rong; Hao Chen; Tianxiao Chen; Linlin Ou; Xinyi Yu; Yifan Liu (CoRR, 2023)

Efficient Re-parameterization Operations Search for Easy-to-Deploy Network Based on Directional Evolutionary Strategy. - Xinyi Yu; Xiaowei Wang; Jintao Rong; Mingyang Zhang 007; Linlin Ou (Neural Process. Lett., 2023)

Improving Neural Indoor Surface Reconstruction with Mask-Guided Adaptive Consistency Constraints. - Xinyi Yu; Liqin Lu; Jintao Rong; Guangkai Xu; Linlin Ou (ICRA, 2024)

Training-Free Motion Customization for Distilled Video Generators with Adaptive Test-Time Distillation. - Jintao Rong; Xin Xie; Xinyi Yu; Linlin Ou; Xinyu Zhang 015; Chunhua Shen; Dong Gong (CoRR, 2025)

GSORB-SLAM: Gaussian Splatting SLAM Benefits From ORB Features and Transmittance Information. - Wancai Zheng; Xinyi Yu; Jintao Rong; Linlin Ou; Yan Wei; Libo Zhou (IEEE Robotics Autom. Lett., 2025)