Machine Learning Based Analog Beam Selection for 5G mmWave Small Cell Networks. - Yang Yang 007; Yu He; Dazhong He; Zhen Gao 001; Yihao Luo (GLOBECOM Workshops, 2019)

Breast Cancer Image Classification on WSI with Spatial Correlations. - Jiandong Ye; Yihao Luo; Chuang Zhu; Fang Liu; Yue Zhang 016 (ICASSP, 2019)

A Spiking Neural Network Architecture for Object Tracking. - Yihao Luo; Quanzheng Yi; Tianjiang Wang; Ling Lin; Yan Xu; Jing Zhou; Caihong Yuan; Jingjuan Guo; Ping Feng; Qi Feng 003 (ICIG (1), 2019)

Learning deep embedding with mini-cluster loss for person re-identification. - Caihong Yuan; Jingjuan Guo; Ping Feng; Zhiqiang Zhao; Yihao Luo; Chunyan Xu; Tianjiang Wang; Kui Duan (Multim. Tools Appl., 2019)

SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking. - Yihao Luo; Min Xu; Caihong Yuan; Xiang Cao; Yan Xu; Tianjiang Wang; Qi Feng 003 (CoRR, 2020)

Object detector with enriched global context information. - Jingjuan Guo; Caihong Yuan; Zhiqiang Zhao; Ping Feng; Yihao Luo; Tianjiang Wang (Multim. Tools Appl., 2020)

SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking. - Yihao Luo; Min Xu; Caihong Yuan; Xiang Cao; Liangqi Zhang; Yan Xu; Tianjiang Wang; Qi Feng 003 (ICANN (5), 2021)

Machine Learning based Analog Beam Selection for Concurrent Transmissions in mmWave Heterogeneous Networks. - Yihao Luo; Yang Yang 007; Zhen Gao 001; Dazhong He; Long Zhang (ICCC, 2021)

AWCD: An Efficient Point Cloud Processing Approach via Wasserstein Curvature. - Yihao Luo; Ailing Yang; Fupeng Sun; Huafei Sun (CoRR, 2021)

Geometric Characteristics of the Wasserstein Metric on SPD(n) and Its Applications on Data Processing. - Yihao Luo; Shiqiang Zhang; Yueqi Cao; Huafei Sun (Entropy, 2021)

SFCN: Symmetric feature comparison network for detecting ischemic stroke lesions on CT images. - Long Zhang; Chuang Zhu; Yuewei Wu; Yang Yang 007; Yihao Luo; Ruoning Song; Lian Liu; Jie Yang 023 (IET Image Process., 2021)

Blind image super-resolution based on prior correction network. - Xiang Cao; Yihao Luo; Yi Xiao; Xianyi Zhu; Tianjiang Wang; Qi Feng 003; Zehan Tan (Neurocomputing, 2021)

DAEANet: Dual auto-encoder attention network for depth map super-resolution. - Xiang Cao; Yihao Luo; Xianyi Zhu; Liangqi Zhang; Yan Xu; Haibo Shen; Tianjiang Wang; Qi Feng 003 (Neurocomputing, 2021)

Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet. - Chuang Zhu; Ke Mei; Ting Peng; Yihao Luo; Jun Liu 014; Ying Wang 043; Mulan Jin (Neurocomputing, 2021)

Kernel Estimation Network for Blind Super-Resolution. - Xiang Cao; Haibo Shen; Liangqi Zhang; Yihao Luo; Tianjiang Wang (ICASSP, 2022)

Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization. - Haonan Huang; Yihao Luo; Guoxu Zhou; Qibin Zhao (ICASSP, 2022)

Dynamic Multi-Scale Loss Balance for Object Detection. - Yihao Luo; Xiang Cao; Juntao Zhang; Peng Cheng; Tianjiang Wang; Qi Feng 003 (ICASSP, 2022)

Multi-Scale Reinforcement Learning Strategy for Object Detection. - Yihao Luo; Xiang Cao; Juntao Zhang; Leixilan Pan; Tianjiang Wang; Qi Feng 003 (ICASSP, 2022)

Efficient CNN Architecture Design Guided by Visualization. - Liangqi Zhang; Haibo Shen; Yihao Luo; Xiang Cao; Leixilan Pan; Tianjiang Wang; Qi Feng 003 (ICME, 2022)

Dual-branch network via pseudo-label training for thyroid nodule detection in ultrasound image. - Ruoning Song; Chuang Zhu; Long Zhang; Tong Zhang; Yihao Luo; Jun Liu 014; Jie Yang 023 (Appl. Intell., 2022)

Improved Regularization of Event-based Learning by Reversing and Drifting. - Haibo Shen; Yihao Luo; Xiang Cao; Liangqi Zhang; Juyu Xiao; Tianjiang Wang (CoRR, 2022)

Modeling Associative Plasticity between Synapses to Enhance Learning of Spiking Neural Networks. - Haibo Shen; Juyu Xiao; Yihao Luo; Xiang Cao; Liangqi Zhang; Tianjiang Wang (CoRR, 2022)

ECG Classification Based on Wasserstein Scalar Curvature. - Fupeng Sun; Yin Ni; Yihao Luo; Huafei Sun (Entropy, 2022)

Contour information regularized tensor ring completion for realistic image restoration. - Zhi Yu; Yihao Luo; Zhifa Liu; Guoxu Zhou (IET Image Process., 2022)

CE-FPN: enhancing channel information for object detection. - Yihao Luo; Xiang Cao; Juntao Zhang; Jingjuan Guo; Haibo Shen; Tianjiang Wang; Qi Feng 003 (Multim. Tools Appl., 2022)

Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking. - Yihao Luo; Haibo Shen; Xiang Cao; Tianjiang Wang; Qi Feng 003; Zehan Tan (Neural Comput. Appl., 2022)

Training Stronger Spiking Neural Networks with Biomimetic Adaptive Internal Association Neurons. - Haibo Shen; Yihao Luo; Xiang Cao; Liangqi Zhang; Juyu Xiao; Tianjiang Wang (ICASSP, 2023)

Training Robust Spiking Neural Networks on Neuromorphic Data with Spatiotemporal Fragments. - Haibo Shen; Yihao Luo; Xiang Cao; Liangqi Zhang; Juyu Xiao; Tianjiang Wang (ICASSP, 2023)

Training Robust Spiking Neural Networks with Viewpoint Transform and Spatiotemporal Stretching. - Haibo Shen; Juyu Xiao; Yihao Luo; Xiang Cao; Liangqi Zhang; Tianjiang Wang (ICASSP, 2023)

An Application of Quantum Mechanics to Attention Methods in Computer Vision. - Juntao Zhang; Yihao Luo; Peng Cheng; Zehan Li; Hao Wu; Kun Yu; Wenbo An; Jun Zhou (ICASSP, 2023)

Frequency and Scale Perspectives of Feature Extraction. - Liangqi Zhang; Yihao Luo; Xiang Cao; Haibo Shen; Tianjiang Wang (ICASSP, 2023)

D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field. - Xueting Yang; Yihao Luo; Yuliang Xiu; Wei Wang; Hao Xu; Zhaoxin Fan (ICCV, 2023)

SelfTalk: A Self-Supervised Commutative Training Diagram to Comprehend 3D Talking Faces. - Ziqiao Peng; Yihao Luo; Yue Shi; Hao Xu; Xiangyu Zhu 001; Hongyan Liu 002; Jun He 008; Zhaoxin Fan (ACM Multimedia, 2023)

For One-Shot Decoding: Self-supervised Deep Learning-Based Polar Decoder. - Huiying Song; Yihao Luo; Yuma Fukuzawa (CoRR, 2023)

Dynamic multi-scale loss optimization for object detection. - Yihao Luo; Xiang Cao; Juntao Zhang; Peng Cheng; Tianjiang Wang; Qi Feng 003 (Multim. Tools Appl., 2023)

A Weakly Supervised-Guided Soft Attention Network for Classification of Intracranial Hemorrhage. - Long Zhang; Wenlong Miao; Chuang Zhu; Yuanyuan Wang 009; Yihao Luo; Ruoning Song; Lian Liu; Jie Yang 023 (IEEE Trans. Cogn. Dev. Syst., 2023)

BootRIST: Detecting and Isolating Mercurial Cores at the Booting Stage. - Yihao Luo; Yunjie Deng; Jingquan Ge; Zhenyu Ning; Fengwei Zhang (ESORICS (2), 2024)

A Fourier Perspective of Feature Extraction and Adversarial Robustness. - Liangqi Zhang; Yihao Luo; Haibo Shen; Tianjiang Wang (IJCAI, 2024)

Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions. - Fanwen Wang; Yihao Luo; Ke Wen; Jiahao Huang; Pedro F. Ferreira; Yaqing Luo; Yinzhe Wu 001; Camila Munoz; Dudley J. Pennell; Andrew D. Scott; Sonia Nielles-Vallespin; Guang Yang 006 (MICCAI (2), 2024)

Differentiable Voxelization and Mesh Morphing. - Yihao Luo; Yikai Wang; Zhengrui Xiang; Yuliang Xiu; Guang Yang 006; Choon Hwai Yap (CoRR, 2024)

MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization. - Yiwen Chen; Yikai Wang 001; Yihao Luo; Zhengyi Wang; Zilong Chen; Jun Zhu 001; Chi Zhang 007; Guosheng Lin (CoRR, 2024)

Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction. - Yihao Luo; Dario Sesia; Fanwen Wang; Yinzhe Wu 001; Wenhao Ding; Jiahao Huang; Fadong Shi; Anoop Shah; Amit Kaural; Jamil Mayet; Guang Yang 006; Choon Hwai Yap (CoRR, 2024)

ViT3D Alignment of LLaMA3: 3D Medical Image Report Generation. - Siyou Li; Beining Xu; Yihao Luo; Dong Nie; Le Zhang (CoRR, 2024)

Differentiable Topology Estimating from Curvatures for 3D Shapes. - Yihao Luo (CoRR, 2024)

Gaussians on their Way: Wasserstein-Constrained 4D Gaussian Splatting with State-Space Modeling. - Junli Deng; Yihao Luo (CoRR, 2024)

A Visual-Inertial Pressure Fusion-Based Underwater Simultaneous Localization and Mapping System. - Zhufei Lu; Xing Xu; Yihao Luo; Lianghui Ding; Chao Zhou; Jiarong Wang (Sensors, 2024)

LawDNet: Enhanced Audio-Driven Lip Synthesis via Local Affine Warping Deformation. - Junli Deng; Yihao Luo; Xueting Yang; Siyou Li; Wei Wang; Jinyang Guo; Ping Shi (ICASSP, 2025)

Topology-Preserving Loss for Accurate and Anatomically Consistent Cardiac Mesh Reconstruction. - Chenyu Zhang; Yihao Luo; Yinzhe Wu 001; Choon Hwai Yap; Guang Yang 006 (CoRR, 2025)

Enhanced DTCMR With Cascaded Alignment and Adaptive Diffusion. - Fanwen Wang; Yihao Luo; Camila Munoz; Ke Wen; Yaqing Luo; Jiahao Huang; Yinzhe Wu 001; Zohya Khalique; Maria Molto; Ramyah Rajakulasingam; Ranil De Silva; Dudley J. Pennell; et al. (IEEE Trans. Medical Imaging, 2025)

Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling. - Zhihao Li; Yufei Wang 006; Heliang Zheng; Yihao Luo; Bihan Wen (CoRR, 2025)

Feedback Attention to Enhance Unsupervised Deep Learning Image Registration in 3D Echocardiography. - Md. Kamrul Hasan 002; Yihao Luo; Guang Yang 006; Choon Hwai Yap (IEEE Trans. Medical Imaging, 2025)