3D Conceptual Design Using Deep Learning. - Zhangsihao Yang; Haoliang Jiang; Lan Zou (CVC (1), 2019)

Data-driven Upsampling of Point Clouds. - Wentai Zhang 002; Haoliang Jiang; Zhangsihao Yang; Soji Yamakawa; Kenji Shimada; Levent Burak Kara (Comput. Aided Des., 2019)

3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders. - Wentai Zhang 002; Zhangsihao Yang; Haoliang Jiang; Suyash Nigam; Soji Yamakawa; Tomotake Furuhata; Kenji Shimada; Levent Burak Kara (CoRR, 2019)

High Degree of Freedom Hand Pose Tracking Using Limited Strain Sensing and Optical Training. - Wentai Zhang 002; Jonelle Z. Yu; Fangcheng Zhu; Yifang Zhu; Zhangsihao Yang; Nurcan Gecer Ulu; Erhan Batuhan Arisoy; Levent Burak Kara (J. Comput. Inf. Sci. Eng., 2019)

Deep Learning on SDF for Classifying Brain Biomarkers. - Zhangsihao Yang; Jianfeng Wu; Paul M. Thompson; Yalin Wang 001 (EMBC, 2021)

Continuous Geodesic Convolutions for Learning on 3D Shapes. - Zhangsihao Yang; Or Litany; Tolga Birdal; Srinath Sridhar 002; Leonidas J. Guibas (WACV, 2021)

Envisioning a Next Generation Extended Reality Conferencing System with Efficient Photorealistic Human Rendering. - Chuanyue Shen; Letian Zhang; Zhangsihao Yang; Masood Mortazavi; Xiyun Song; Liang Peng; Heather Yu (CVPR Workshops, 2023)

TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. - Mohammad Farazi; Zhangsihao Yang; Wenhui Zhu; Peijie Qiu; Yalin Wang 001 (IPMI, 2023)

OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing. - Wenhui Zhu; Peijie Qiu; Oana M. Dumitrascu; Jacob M. Sobczak; Mohammad Farazi; Zhangsihao Yang; Keshav Nandakumar; Yalin Wang 001 (IPMI, 2023)

Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation. - Zhangsihao Yang; Mengwei Ren; Kaize Ding; Guido Gerig; Yalin Wang 001 (NeurIPS, 2023)

Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence. - Mohammad Farazi; Wenhui Zhu; Zhangsihao Yang; Yalin Wang 001 (WACV, 2023)

OmniMotionGPT: Animal Motion Generation with Limited Data. - Zhangsihao Yang; Mingyuan Zhou; Mengyi Shan; Bingbing Wen; Ziwei Xuan; Mitch Hill; Junjie Bai; Guo-Jun Qi; Yalin Wang 001 (CVPR, 2024)

Pre-Training Graph Attention Convolution for Brain Structural Imaging Biomarker Analysis and Its Application to Alzheimer's Disease Pathology Identification. - Zhangsihao Yang; Yi Su 004; Rahimeh Rouhi; Mohammad Farazi; Wenhui Zhu; Yanxi Chen 002; Eric M. Reiman; Richard J. Caselli; Kewei Chen 001; Yalin Wang 001; Natasha Leporé (ISBI, 2024)

MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders. - Zhangsihao Yang; Kaize Ding; Huan Liu 001; Yalin Wang 001 (WACV, 2024)

AMG: Avatar Motion Guided Video Generation. - Zhangsihao Yang; Mengyi Shan; Mohammad Farazi; Wenhui Zhu; Yanxi Chen 002; Xuanzhao Dong; Yalin Wang 001 (CoRR, 2024)

Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes. - Yanxi Chen 002; Mohammad Farazi; Zhangsihao Yang; Yonghui Fan; Nicholas Ashton; Eric M. Reiman; Yi Su 004; Yalin Wang 001 (IPMI (2), 2025)

CUNSB-RFIE: Context-Aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement. - Xuanzhao Dong; Vamsi Krishna Vasa; Wenhui Zhu; Peijie Qiu; Xiwen Chen; Yi Su 004; Yujian Xiong; Zhangsihao Yang; Yanxi Chen 002; Yalin Wang 001 (WACV, 2025)

EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement. - Wenhui Zhu; Xuanzhao Dong; Xin Li; Yujian Xiong; Xiwen Chen; Peijie Qiu; Vamsi Krishna Vasa; Zhangsihao Yang; Yi Su 004; Oana M. Dumitrascu; Yalin Wang 001 (CoRR, 2025)

Identity Preserving Latent Diffusion for Brain Aging Modeling. - Gexin Huang; Zhangsihao Yang; Yalin Wang 001; Guido Gerig; Mengwei Ren; Xiaoxiao Li (CoRR, 2025)

How Effective Can Dropout Be in Multiple Instance Learning ? - Wenhui Zhu; Peijie Qiu; Xiwen Chen; Zhangsihao Yang; Aristeidis Sotiras; Abolfazl Razi; Yalin Wang 001 (CoRR, 2025)