Framework of a Real-Time Adaptive Hypermedia System. - Rui Li 002; Evelyn P. Rozanski; Anne R. Haake (UIIR@SIGIR, 2009)

Using human experts' gaze data to evaluate image processing algorithms. - Preethi Vaidyanathan; Jeff B. Pelz; Rui Li 002; Sai Mulpuru; Dong Wang; Pengcheng Shi; Cara Calvelli; Anne R. Haake (IVMSP, 2011)

Exploring interaction modes for image retrieval. - Corey Engelman; Rui Li 002; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (NGCA, 2011)

Annotation Schemes to Encode Domain Knowledge in Medical Narratives. - Wilson McCoy; Cecilia Ovesdotter Alm; Cara Calvelli; Rui Li 002; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (LAW@ACL, 2012)

Learning Image-Derived Eye Movement Patterns to Characterize Perceptual Expertise. - Rui Li 002; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (CogSci, 2012)

Learning eye movement patterns for characterization of perceptual expertise. - Rui Li 002; Jeff B. Pelz; Pengcheng Shi; Cecilia Ovesdotter Alm; Anne R. Haake (ETRA, 2012)

Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes. - Rui Li 002; Pengcheng Shi; Anne R. Haake (CVPR, 2013)

Infusing perceptual expertise and domain knowledge into a human-centered image retrieval system: a prototype application. - Xuan Guo; Rui Li 002; Cecilia Ovesdotter Alm; Qi Yu 001; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (ETRA, 2014)

Fusing Multimodal Human Expert Data to Uncover Hidden Semantics. - Xuan Guo; Qi Yu 001; Rui Li 002; Cecilia Ovesdotter Alm; Anne R. Haake (GazeIn@ICMI, 2014)

Predicting video-conferencing conversation outcomes based on modeling facial expression synchronization. - Rui Li 002; Jared Curhan; Mohammed (Ehsan) Hoque (FG, 2015)

An Expert-in-the-loop Paradigm for Learning Medical Image Grouping. - Xuan Guo; Qi Yu 001; Rui Li 002; Cecilia Ovesdotter Alm; Cara Calvelli; Pengcheng Shi; Anne R. Haake (PAKDD (1), 2016)

Modeling eye movement patterns to characterize perceptual skill in image-based diagnostic reasoning processes. - Rui Li 002; Pengcheng Shi; Jeff B. Pelz; Cecilia Ovesdotter Alm; Anne R. Haake (Comput. Vis. Image Underst., 2016)

Intelligent medical image grouping through interactive learning. - Xuan Guo; Qi Yu 001; Rui Li 002; Cecilia Ovesdotter Alm; Cara Calvelli; Pengcheng Shi; Anne R. Haake (Int. J. Data Sci. Anal., 2016)

A Behavior-Based Approach for Malware Detection. - Rayan Mosli; Rui Li 002; Bo Yuan 005; Yin Pan (IFIP Int. Conf. Digital Forensics, 2017)

Modeling Physicians' Utterances to Explore Diagnostic Decision-making. - Xuan Guo; Rui Li 002; Qi Yu 001; Anne R. Haake (IJCAI, 2017)

Understanding Social Interpersonal Interaction via Synchronization Templates of Facial Events. - Rui Li 002; Jared Curhan; Mohammed (Ehsan) Hoque (AAAI, 2018)

Sparse Covariance Modeling in High Dimensions with Gaussian Processes. - Rui Li 002; Kishan KC; Feng Cui; Justin Domke; Anne R. Haake (NeurIPS, 2018)

Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes. - Rui Li 002 (NeurIPS, 2019)

GNE: a deep learning framework for gene network inference by aggregating biological information. - Kishan KC; Rui Li 002; Feng Cui; Qi Yu 001; Anne R. Haake (BMC Syst. Biol., 2019)

Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction. - Kishan KC; Feng Cui; Anne R. Haake; Rui Li 002 (ICPR, 2020)

Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (NeurIPS, 2020)

Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches. - Peng-Nien Yin; Kishan KC; Shishi Wei; Qi Yu 001; Rui Li 002; Anne R. Haake; Hiroshi Miyamoto; Feng Cui (BMC Medical Informatics Decis. Mak., 2020)

A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (AAAI, 2021)

TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation. - Junxiao Chen; Jia Wei; Rui Li 002 (MICCAI (6), 2021)

Joint Inference for Neural Network Depth and Dropout Regularization. - Kishan K. C.; Rui Li 002; Mahdi Gilany (NeurIPS, 2021)

Machine learning predicts nucleosome binding modes of transcription factors. - Kishan KC; Sridevi K. Subramanya; Rui Li 002; Feng Cui (BMC Bioinform., 2021)

Evaluating Technology-Mediated Collaborative Workflows for Telehealth. - Christopher Bondy; Linlin Chen; Pamela Grover; Vicki L. Hanson; Rui Li 002; Pengcheng Shi (IEEE J. Biomed. Health Informatics, 2021)

Dual-Level Adaptive Information Filtering for Interactive Image Segmentation. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (AISTATS, 2022)

Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation. - Zekang Chen; Jia Wei; Rui Li 002 (IJCAI, 2022)

Slice imputation: Multiple intermediate slices interpolation for anisotropic 3D medical image segmentation. - Zhaotao Wu; Jia Wei; Jiabing Wang; Rui Li 002 (Comput. Biol. Medicine, 2022)

Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation. - Zhaotao Wu; Jia Wei; Jiabing Wang; Rui Li 002 (CoRR, 2022)

TFusion: Transformer based N-to-One Multimodal Fusion Block. - Zecheng Liu; Jia Wei; Rui Li 002 (CoRR, 2022)

Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning. - Zecheng Liu; Jia Wei; Rui Li 002 (CoRR, 2022)

Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks. - Kishan K. C.; Rui Li 002; Paribesh Regmi; Anne R. Haake (CoRR, 2022)

Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks. - Kishan KC; Rui Li 002; Feng Cui; Anne R. Haake (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Knowledge Acquisition for Human-In-The-Loop Image Captioning. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (AISTATS, 2023)

SFusion: Self-attention Based N-to-One Multimodal Fusion Block. - Zecheng Liu; Jia Wei; Rui Li 002; Jianlong Zhou (MICCAI (2), 2023)

AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders. - Paribesh Regmi; Rui Li 002 (NeurIPS, 2023)

Learning multi-modal brain tumor segmentation from privileged semi-paired MRI images with curriculum disentanglement learning. - Zecheng Liu; Jia Wei; Rui Li 002; Jianlong Zhou (Comput. Biol. Medicine, 2023)

Semi-supervised multi-modal medical image segmentation with unified translation. - Huajun Sun; Jia Wei; Wenguang Yuan; Rui Li 002 (Comput. Biol. Medicine, 2024)

Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation. - Chuan Huang; Jia Wei; Rui Li 002 (CoRR, 2024)

On the Interdependence between Data Selection and Architecture Optimization in Deep Active Learning. - Pradeep Bajracharya; Rui Li 002; Linwei Wang (Trans. Mach. Learn. Res., 2024)

Bayesian Neighborhood Adaptation for Graph Neural Networks. - Paribesh Regmi; Rui Li 002; Kishan K. C. (Trans. Mach. Learn. Res., 2025)

DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction. - Xueqiang Ouyang; Jia Wei; Wenjie Huo; Xiaocong Wang; Rui Li 002; Jianlong Zhou (CoRR, 2025)