Rui Li - RankMe

49 papers A* 10A 2B 5Journal 23Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian Neighborhood Adaptation for Graph Neural Networks. CoRR Paribesh Regmi, Rui Li, Kishan KC
2025	J	`jnl`	Bayesian Neighborhood Adaptation for Graph Neural Networks. Trans. Mach. Learn. Res. Paribesh Regmi, Rui Li, Kishan K. C.
2025	J	`jnl`	DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction. CoRR Xueqiang Ouyang, Jia Wei, Wenjie Huo, Xiaocong Wang, Rui Li, Jianlong Zhou
2024	J	`jnl`	On the Interdependence between Data Selection and Architecture Optimization in Deep Active Learning. Trans. Mach. Learn. Res. Pradeep Bajracharya, Rui Li, Linwei Wang
2024	J	`jnl`	Semi-supervised multi-modal medical image segmentation with unified translation. Comput. Biol. Medicine Huajun Sun, Jia Wei, Wenguang Yuan, Rui Li
2024	J	`jnl`	Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation. CoRR Chuan Huang, Jia Wei, Rui Li
2023	A*	`conf`	AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders. NeurIPS Paribesh Regmi, Rui Li
2023	A	`conf`	Knowledge Acquisition for Human-In-The-Loop Image Captioning. AISTATS Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake
2023	J	`jnl`	Learning multi-modal brain tumor segmentation from privileged semi-paired MRI images with curriculum disentanglement learning. Comput. Biol. Medicine Zecheng Liu, Jia Wei, Rui Li, Jianlong Zhou
2023	—	`conf`	SFusion: Self-attention Based N-to-One Multimodal Fusion Block. MICCAI (2) Zecheng Liu, Jia Wei, Rui Li, Jianlong Zhou
2022	A	`conf`	Dual-Level Adaptive Information Filtering for Interactive Image Segmentation. AISTATS Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake
2022	J	`jnl`	Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning. CoRR Zecheng Liu, Jia Wei, Rui Li
2022	J	`jnl`	Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Kishan KC, Rui Li, Feng Cui, Anne R. Haake
2022	J	`jnl`	Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks. CoRR Kishan K. C., Rui Li, Paribesh Regmi, Anne R. Haake
2022	J	`jnl`	Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation. CoRR Zhaotao Wu, Jia Wei, Jiabing Wang, Rui Li
2022	J	`jnl`	Slice imputation: Multiple intermediate slices interpolation for anisotropic 3D medical image segmentation. Comput. Biol. Medicine Zhaotao Wu, Jia Wei, Jiabing Wang, Rui Li
2022	J	`jnl`	TFusion: Transformer based N-to-One Multimodal Fusion Block. CoRR Zecheng Liu, Jia Wei, Rui Li
2022	A*	`conf`	Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation. IJCAI Zekang Chen, Jia Wei, Rui Li
2022	J	`jnl`	Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation. CoRR Zekang Chen, Jia Wei, Rui Li
2021	A*	`conf`	A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation. AAAI Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake
2021	J	`jnl`	Evaluating Technology-Mediated Collaborative Workflows for Telehealth. IEEE J. Biomed. Health Informatics Christopher Bondy, Linlin Chen, Pamela Grover, Vicki L. Hanson, Rui Li, Pengcheng Shi
2021	A*	`conf`	Joint Inference for Neural Network Depth and Dropout Regularization. NeurIPS Kishan K. C., Rui Li, Mahdi Gilany
2021	J	`jnl`	Machine learning predicts nucleosome binding modes of transcription factors. BMC Bioinform. Kishan KC, Sridevi K. Subramanya, Rui Li, Feng Cui
2021	—	`conf`	TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation. MICCAI (6) Junxiao Chen, Jia Wei, Rui Li
2021	J	`jnl`	TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation. CoRR Junxiao Chen, Jia Wei, Rui Li
2020	A*	`conf`	Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains. NeurIPS Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake
2020	J	`jnl`	Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches. BMC Medical Informatics Decis. Mak. Peng-Nien Yin, Kishan KC, Shishi Wei, Qi Yu, Rui Li, Anne R. Haake, Hiroshi Miyamoto, Feng Cui
2020	B	`conf`	Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction. ICPR Kishan KC, Feng Cui, Anne R. Haake, Rui Li
2020	J	`jnl`	Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction. CoRR Kishan KC, Feng Cui, Anne R. Haake, Rui Li
2020	J	`jnl`	Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks. CoRR Kishan KC, Rui Li, Feng Cui, Anne R. Haake
2019	J	`jnl`	GNE: a deep learning framework for gene network inference by aggregating biological information. BMC Syst. Biol. Kishan KC, Rui Li, Feng Cui, Qi Yu, Anne R. Haake
2019	A*	`conf`	Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes. NeurIPS Rui Li
2018	A*	`conf`	Sparse Covariance Modeling in High Dimensions with Gaussian Processes. NeurIPS Rui Li, Kishan KC, Feng Cui, Justin Domke, Anne R. Haake
2018	A*	`conf`	Understanding Social Interpersonal Interaction via Synchronization Templates of Facial Events. AAAI Rui Li, Jared Curhan, Mohammed (Ehsan) Hoque
2017	—	`conf`	A Behavior-Based Approach for Malware Detection. IFIP Int. Conf. Digital Forensics Rayan Mosli, Rui Li, Bo Yuan, Yin Pan
2017	A*	`conf`	Modeling Physicians' Utterances to Explore Diagnostic Decision-making. IJCAI Xuan Guo, Rui Li, Qi Yu, Anne R. Haake
2016	—	`conf`	An Expert-in-the-loop Paradigm for Learning Medical Image Grouping. PAKDD (1) Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Cara Calvelli, Pengcheng Shi, Anne R. Haake
2016	J	`jnl`	Intelligent medical image grouping through interactive learning. Int. J. Data Sci. Anal. Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Cara Calvelli, Pengcheng Shi, Anne R. Haake
2016	J	`jnl`	Modeling eye movement patterns to characterize perceptual skill in image-based diagnostic reasoning processes. Comput. Vis. Image Underst. Rui Li, Pengcheng Shi, Jeff B. Pelz, Cecilia Ovesdotter Alm, Anne R. Haake
2015	B	`conf`	Predicting video-conferencing conversation outcomes based on modeling facial expression synchronization. FG Rui Li, Jared Curhan, Mohammed (Ehsan) Hoque
2014	—	`conf`	Fusing Multimodal Human Expert Data to Uncover Hidden Semantics. GazeIn@ICMI Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Anne R. Haake
2014	B	`conf`	Infusing perceptual expertise and domain knowledge into a human-centered image retrieval system: a prototype application. ETRA Xuan Guo, Rui Li, Cecilia Ovesdotter Alm, Qi Yu, Jeff B. Pelz, Pengcheng Shi, Anne R. Haake
2013	A*	`conf`	Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes. CVPR Rui Li, Pengcheng Shi, Anne R. Haake
2012	—	`conf`	Annotation Schemes to Encode Domain Knowledge in Medical Narratives. LAW@ACL Wilson McCoy, Cecilia Ovesdotter Alm, Cara Calvelli, Rui Li, Jeff B. Pelz, Pengcheng Shi, Anne R. Haake
2012	B	`conf`	Learning Image-Derived Eye Movement Patterns to Characterize Perceptual Expertise. CogSci Rui Li, Jeff B. Pelz, Pengcheng Shi, Anne R. Haake
2012	B	`conf`	Learning eye movement patterns for characterization of perceptual expertise. ETRA Rui Li, Jeff B. Pelz, Pengcheng Shi, Cecilia Ovesdotter Alm, Anne R. Haake
2011	—	`conf`	Exploring interaction modes for image retrieval. NGCA Corey Engelman, Rui Li, Jeff B. Pelz, Pengcheng Shi, Anne R. Haake
2011	—	`conf`	Using human experts' gaze data to evaluate image processing algorithms. IVMSP Preethi Vaidyanathan, Jeff B. Pelz, Rui Li, Sai Mulpuru, Dong Wang, Pengcheng Shi, Cara Calvelli, Anne R. Haake
2009	—	`conf`	Framework of a Real-Time Adaptive Hypermedia System. UIIR@SIGIR Rui Li, Evelyn P. Rozanski, Anne R. Haake