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Yichen Ding
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2020 – today
- 2022
- [j6]Casey R. Koger, Sohail S. Hassan, Jie Yuan, Yichen Ding:
Virtual Reality for Interactive Medical Analysis. Frontiers Virtual Real. 3: 782854 (2022) - [c8]Jie Yuan, Yiping Jiao, Zhenlong Wu, Jiali Ma, Shumin Fei, Yichen Ding:
Robust Feedback Controller Design based on Bode's Integrals for General Minimum-phase Systems. ACC 2022: 2461-2466 - [c7]Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou:
EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data. SIGSPATIAL/GIS 2022: 12:1-12:10 - [c6]Yichen Ding, Jialong Li, Kenji Tei:
Multi-Agent Path Finding with Priority Transfer Accompanied with Moving Obstacles. SISY 2022: 103-108 - [i1]Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou:
EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data. CoRR abs/2209.13459 (2022) - 2021
- [j5]Zhaoqiang Wang, Yichen Ding, Sandro Satta, Mehrdad Roustaei, Peng Fei, Tzung K. Hsiai:
A hybrid of light-field and light-sheet imaging to study myocardial function and intracardiac blood flow during zebrafish development. PLoS Comput. Biol. 17(7) (2021) - [j4]Yichen Ding, Varun Gudapati, Ruiyuan Lin, Yanan Fei, René R. Sevag Packard, Sibo Song, Chih-Chiang Chang, Kyung In Baek, Zhaoqiang Wang, Mehrdad Roustaei, Dengfeng Kuang, C.-C. Jay Kuo, Tzung K. Hsiai:
Saak Transform-Based Machine Learning for Light-Sheet Imaging of Cardiac Trabeculation. IEEE Trans. Biomed. Eng. 68(1): 225-235 (2021) - [j3]Yichen Ding, Xun Zhou, Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo:
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data. IEEE Trans. Knowl. Data Eng. 33(7): 2930-2942 (2021) - [c5]Yichen Ding, Jialong Li, Kenji Tei, Shinichi Honiden:
Blockchain-Based Cooperative Incentive System for Emergency Road Right Transferring. GCCE 2021: 736-739 - 2020
- [j2]Parinaz Abiri, Alireza Yousefi, Arash Abiri, Varun Gudapati, Yichen Ding, Kim-Lien Nguyen, Ahmad Abiri, Dejan Markovic, Yu-Chong Tai, Tzung K. Hsiai:
A Multi-Dimensional Analysis of a Novel Approach for Wireless Stimulation. IEEE Trans. Biomed. Eng. 67(12): 3307-3316 (2020) - [c4]Yichen Ding, Xun Zhou, Han Bao, Yanhua Li, Cara Hamann, Steven Spears, Zhuoning Yuan:
Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data. SIGSPATIAL/GIS 2020: 337-346
2010 – 2019
- 2019
- [j1]Yichen Ding, Yanhua Li, Xun Zhou, Zhuojie Huang, Simin You, Jun Luo:
Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query. IEEE Trans. Big Data 5(4): 550-563 (2019) - [c3]Yichen Ding, W. Nick Street, Ling Tong, Shangguan Wang:
An Ensemble Method for Data Imputation. ICHI 2019: 1-3 - 2017
- [c2]Guojun Wu, Yichen Ding, Yanhua Li, Jun Luo, Fan Zhang, Jie Fu:
Data-driven inverse learning of passenger preferences in urban public transits. CDC 2017: 5068-5073 - [c1]Guojun Wu, Yichen Ding, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo:
Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data. ICDE 2017: 1283-1294
Coauthor Index
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