An Efficient Approach for Parameters Learning of Bayesian Network with Multiple Latent Variables Using Neural Networks and P-EM. - Kaiyu Song; Kun Yue; Xinran Wu; Jia Hao 001 (CollaborateCom (1), 2020)

Mutual information based Bayesian graph neural network for few-shot learning. - Kaiyu Song; Kun Yue; Liang Duan; Mingze Yang; Angsheng Li (UAI, 2022)

Monocular Visual-Inertial Odometry for Agricultural Environments. - Kaiyu Song; Jingtao Li; Run Qiu; Gaidi Yang (IEEE Access, 2022)

MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model. - Kaiyu Song; Hanjiang Lai (CoRR, 2023)

Target to Source: Guidance-Based Diffusion Model for Test-Time Adaptation. - Kaiyu Song; Hanjiang Lai (CoRR, 2023)

MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model. - Kaiyu Song; Hanjiang Lai; Yan Pan 002; Jian Yin 001 (CVPR, 2024)

MALIP: Improving Few-Shot Image Classification with Multimodal Fusion Enhancement. - Kaifen Cai; Kaiyu Song; Yan Pan 002; Hanjiang Lai (ICME, 2024)

DNAF: Diffusion with Noise-Aware Feature for Pose-Guided Person Image Synthesis. - Liyan Guo; Kaiyu Song; Mengying Xu; Hanjiang Lai (ICME, 2024)

Fisher Information Improved Training-Free Conditional Diffusion Model. - Kaiyu Song; Hanjiang Lai (CoRR, 2024)

Unraveling the Connections between Flow Matching and Diffusion Probabilistic Models in Training-free Conditional Generation. - Kaiyu Song; Hanjiang Lai (CoRR, 2024)

Leveraging Previous Steps: A Training-free Fast Solver for Flow Diffusion. - Kaiyu Song; Hanjiang Lai (CoRR, 2024)

Test-time Alignment-Enhanced Adapter for Vision-Language Models. - Baoshun Tong; Kaiyu Song; Hanjiang Lai (ICASSP, 2025)

Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization. - Baoshun Tong; Kaiyu Song; Hanjiang Lai (ICASSP, 2025)

Rethinking Oversaturation in Classifier-Free Guidance via Low Frequency. - Kaiyu Song; Hanjiang Lai (CoRR, 2025)