Zhaonan Sun - RankMe

31 papers A* 3Misc 6Journal 14Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From genes to trajectories: mapping genetic influences on Huntington's disease progression. Bioinform. Sanjoy Dey, Zhaonan Sun, John Warner, Eileen Koski, Elif Eyigöz, Swati Sathe, Cristina Sampaio, Jianying Hu
2025	J	`jnl`	Advanced Tool for Traffic Crash Analysis: An AI-Driven Multi-Agent Approach to Pre-Crash Reconstruction. CoRR Gerui Xu, Boyou Chen, Huizhong Guo, Dave LeBlanc, Ananna Ahmed, Zhaonan Sun, Shan Bao
2025	J	`jnl`	From Narratives to Probabilistic Reasoning: Predicting and Interpreting Drivers' Hazardous Actions in Crashes Using Large Language Model. CoRR Boyou Chen, Gerui Xu, Zifei Wang, Huizhong Guo, Ananna Ahmed, Zhaonan Sun, Zhen Hu, Kaihan Zhang, Shan Bao
2025	—	`conf`	Multi-Trajectory Prediction for E-Scooter Riders with Multi-Modal Inputs. ITSC Zhengming Zhang, Juntong Peng, Yaobin Chen, Jue Zhou, Stanley Y. P. Chien, Zhengming Ding, Rini Sherony, Zhaonan Sun, Shaozhi Wang, Renran Tian
2021	J	`jnl`	DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways. IEEE Trans. Vis. Comput. Graph. Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng
2021	—	`conf`	Deep Staging: An Interpretable Deep Learning Framework for Disease Staging. ICHI Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun
2021	J	`jnl`	Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images. BMC Medical Imaging Xiang Liu, Zhaonan Sun, Chao Han, Yingpu Cui, Jiahao Huang, Xiangpeng Wang, Xiaodong Zhang, Xiaoying Wang
2020	Misc	`conf`	Analyzing impact of genomic factors on HD progression through an integrated disease progress model. AMIA Sanjoy Dey, Zhaonan Sun, Amrita Mohan, Cristina Sampaio, Jianying Hu
2020	J	`jnl`	Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach. IEEE Trans. Knowl. Data Eng. Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu
2020	J	`jnl`	Determination of strain rate in modelling belt-flesh-pelvis interaction during frontal crashes. CoRR Zhaonan Sun, Bronislaw D. Gepner, Sang-Hyun Lee, Joshua Rigby, Neil Singh, Jason R. Kerrigan
2020	J	`jnl`	New approaches in modeling belt-flesh-pelvis interaction using obese GHBMC models. CoRR Zhaonan Sun, Bronislaw Gepner, Jason R. Kerrigan
2019	J	`jnl`	DPVis: Visual Exploration of Disease Progression Pathways. CoRR Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng
2018	A*	`conf`	Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach. AAAI Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng
2018	J	`jnl`	Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care. CoRR Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu
2017	Misc	`conf`	A Data-Driven Method for Generating Robust Symptom Onset Indicators in Disease Registry Data. AMIA Zhaonan Sun, Ying Li, Soumya Ghosh, Yu Cheng, Amrita Mohan, Cristina Sampaio
2017	—	`conf`	An Exploration of Latent Structure in Observational Huntington's Disease Studies. CRI Soumya Ghosh, Zhaonan Sun, Ying Li, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu
2017	A*	`conf`	Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. ICDM Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
2017	J	`jnl`	Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. CoRR Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
2017	Misc	`conf`	Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation. AMIA Xiang Li, Zhaonan Sun, Xin Du, Haifeng Liu, Gang Hu, Guotong Xie
2017	J	`jnl`	Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding. CoRR Zhengping Che, Yu Cheng, Zhaonan Sun, Yan Liu
2017	—	`conf`	Exploring Factors that Associated with Missing Values in Observational Huntington's Disease Study Data. CRI Zhaonan Sun, Ying Li, Soumya Ghosh, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu
2016	J	`jnl`	Bayesian inference with historical data-based informative priors improves detection of differentially expressed genes. Bioinform. Ben Li, Zhaonan Sun, Qing He, Yu Zhu, Zhaohui S. Qin
2016	Misc	`conf`	Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems. AMIA Ying Li, Ping Zhang, Zhaonan Sun, Jianying Hu
2016	—	`conf`	Deep State Space Models for Computational Phenotyping. ICHI Soumya Ghosh, Yu Cheng, Zhaonan Sun
2016	Misc	`conf`	Joint Modeling of Survival Events through Multi-task Learning Framework. AMIA Zhaonan Sun, Xu Liu, Ping Zhang, Jianying Hu, Juan Wisnivesky
2016	—	`conf`	Modelling the Progression of CKD with EMR Data: a Partially Hidden Markov Approach. CRI Zhaonan Sun, Yu Cheng, Amos Cahan, Fei Wang, Jianying Hu
2015	A*	`conf`	LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management. KDD Zhaonan Sun, Fei Wang, Jianying Hu
2015	Misc	`conf`	Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning. AMIA Ping Zhang, Zhaonan Sun, Fei Wang, Jianying Hu
2012	J	`jnl`	Systematic comparison of RNA-Seq normalization methods using measurement error models. Bioinform. Zhaonan Sun, Yu Zhu
2010	—	`conf`	Multiple Kernel Learning and the SMO Algorithm. NIPS S. V. N. Vishwanathan, Zhaonan Sun, Nawanol Ampornpunt, Manik Varma
2009	—	`conf`	Comparison on Confidence Bands of Decision Boundary between SVM and Logistic Regression. NCM Xing Wang, Xin Wang, Zhaonan Sun