Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method. - Rui Yan 009; Fei Ren; Xiaosong Rao; Baorong Shi; Tiange Xiang; Lingling Zhang; Yudong Liu; Jun Liang; Chunhou Zheng 001; Fa Zhang 001 (ICIC (1), 2019)

BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. - Tiange Xiang; Chaoyi Zhang; Dongnan Liu; Yang Song 001; Heng Huang; Weidong Cai 001 (MICCAI (1), 2020)

Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis. - Tiange Xiang; Chaoyi Zhang; Yang Song 001; Jianhui Yu; Weidong Cai 001 (ICCV, 2021)

BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. - Xinyi Wang; Tiange Xiang; Chaoyi Zhang; Yang Song 001; Dongnan Liu; Heng Huang; Weidong Cai 001 (MICCAI (1), 2021)

Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool. - Tiange Xiang; Hongliang Yuan; Haozhi Huang 001; Yujin Shi (CoRR, 2021)

Partial Graph Reasoning for Neural Network Regularization. - Tiange Xiang; Chaoyi Zhang; Yang Song 001; Siqi Liu 001; Hongliang Yuan; Tom Weidong Cai (CoRR, 2021)

In-painting Radiography Images for Unsupervised Anomaly Detection. - Tiange Xiang; Yongyi Lu; Alan L. Yuille; Chaoyi Zhang; Weidong Cai 001; Zongwei Zhou (CoRR, 2021)

3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis. - Jianhui Yu; Chaoyi Zhang; Heng Wang 007; Dingxin Zhang 001; Yang Song 001; Tiange Xiang; Dongnan Liu; Weidong Cai 001 (CoRR, 2021)

Towards bi-directional skip connections in encoder-decoder architectures and beyond. - Tiange Xiang; Chaoyi Zhang; Xinyi Wang; Yang Song 001; Dongnan Liu; Heng Huang; Weidong Cai 001 (Medical Image Anal., 2022)

DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. - Tiange Xiang; Yang Song 001; Chaoyi Zhang; Dongnan Liu; Mei Chen; Fan Zhang 013; Heng Huang; Lauren O'Donnell; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2022)

Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding. - Zijiao Chen; Jiaxin Qing; Tiange Xiang; Wan Lin Yue; Juan Helen Zhou (CVPR, 2023)

SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection. - Tiange Xiang; Yixiao Zhang 001; Yongyi Lu; Alan L. Yuille; Chaoyi Zhang; Weidong Cai 001; Zongwei Zhou (CVPR, 2023)

Rendering Humans from Object-Occluded Monocular Videos. - Tiange Xiang; Adam Sun; Jiajun Wu 001; Ehsan Adeli 001; Li Fei-Fei 001 (ICCV, 2023)

DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models. - Tiange Xiang; Mahmut Yurt; Ali B. Syed; Kawin Setsompop; Akshay Chaudhari (ICLR, 2023)

OccFusion: Rendering Occluded Humans with Generative Diffusion Priors. - Adam Sun; Tiange Xiang; Scott L. Delp; Li Fei-Fei 001; Ehsan Adeli 001 (NeurIPS, 2024)

Physical-space Multi-body Mesh Detection Achieved by Local Alignment and Global Dense Learning. - Haoye Dong; Tiange Xiang; Sravan Chittupalli; Jun Liu 075; Dong Huang (WACV, 2024)

Wild2Avatar: Rendering Humans Behind Occlusions. - Tiange Xiang; Adam Sun; Scott L. Delp; Kazuki Kozuka; Li Fei-Fei 001; Ehsan Adeli 001 (CoRR, 2024)

Decoding Visual Experience and Mapping Semantics through Whole-Brain Analysis Using fMRI Foundation Models. - Yanchen Wang; Adam Turnbull; Tiange Xiang; Yunlong Xu 001; Sa Zhou; Adnan Masoud; Shekoofeh Azizi; Feng Vankee Lin; Ehsan Adeli 001 (CoRR, 2024)

Caching, transcoding, delivery and learning for advanced video streaming services. - Minseok Choi; Tiange Xiang; Hyelee Lim; Yunoh Kim; Minkyun Ahn; Sunghun Oh; Hyeonsu Kim (ICT Express, 2024)

Intelligent Caching for Seamless High-Quality Streaming in Vehicular Networks: A Multi-Agent Reinforcement Learning Approach. - Minseok Choi; Tiange Xiang; Joongheon Kim (IEEE Trans. Intell. Veh., 2024)

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images. - Tiange Xiang; Yixiao Zhang 001; Yongyi Lu; Alan L. Yuille; Chaoyi Zhang; Tom Weidong Cai; Zongwei Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

NeuHMR: Neural Rendering-Guided Human Motion Reconstruction. - Tiange Xiang; Kuan-Chieh Wang; Jaewoo Heo; Ehsan Adeli 001; Serena Yeung; Scott L. Delp; Li Fei-Fei 001 (3DV, 2025)

MoDeFA: Multiobserver and Denoising-Enhanced Fingerprint Augmentation for Semi-Supervised Wi-Fi RSS-Based Indoor Positioning. - Tiange Xiang; Yuanjiang Sun; Gang Shen (IEEE Internet Things J., 2025)

Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound. - Chieh-Ju Chao; Yunqi Richard Gu; Wasan Kumar; Tiange Xiang; Lalith Appari; Justin Wu; Juan Maria Farina; Rachael Wraith; Jiwoong Jason Jeong; Reza Arsanjani; Garvan C. Kane; Jae K. Oh; et al. (npj Digit. Medicine, 2025)

Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation. - Tiange Xiang; Kai Li; Chengjiang Long; Christian Häne; Peihong Guo; Scott L. Delp; Ehsan Adeli 001; Li Fei-Fei 001 (CoRR, 2025)

SocialGen: Modeling Multi-Human Social Interaction with Language Models. - Heng Yu; Juze Zhang; Changan Chen; Tiange Xiang; Yusu Fang; Juan Carlos Niebles; Ehsan Adeli-Mosabbeb (CoRR, 2025)