Projects per year
Personal profile
Research Interests
Intelligent Driving Systems, Assistive Robotics, Artificial Intelligence, Computer Vision, Machine Learning, behavior modeling
Experience
Senior Research Scientist, Honda Research Institute USA
Education/Academic qualification
PhD, Purdue University
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Dive into the research topics where Yi-Ting Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Driver-centric Risk Assessment
1/07/21 → 30/04/22
Project: Government Ministry › Ministry of Science and Technology
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Driver-centric Risk Assessment
1/07/23 → 30/04/24
Project: Government Ministry › Ministry of Science and Technology
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Driver-centric Risk Assessment
1/07/22 → 30/04/23
Project: Government Ministry › Ministry of Science and Technology
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Comonotonicity and low volatility effect
Lai, W-N., Chen, Y-T. & Sun, E. W., Apr 2021, In: Annals of Operations Research. 299, 1-2, p. 1057-1099 43 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Boosting standard classification architectures through a ranking regularizer
Taha, A., Chen, Y. T., Misu, T., Shrivastava, A. & Davis, L., Mar 2020, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. Institute of Electrical and Electronics Engineers Inc., p. 747-755 9 p. 9093279. (Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks
Li, C., Meng, Y., Chan, S. H. & Chen, Y. T., May 2020, 2020 IEEE International Conference on Robotics and Automation, ICRA 2020. Institute of Electrical and Electronics Engineers Inc., p. 8418-8424 7 p. 9197057. (Proceedings - IEEE International Conference on Robotics and Automation).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Uncertainty-aware self-supervised 3D data association
Wang, J., Ancha, S., Chen, Y. T. & Held, D., 24 Oct 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. Institute of Electrical and Electronics Engineers Inc., p. 8125-8132 8 p. 9341251. (IEEE International Conference on Intelligent Robots and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Who make drivers stop? Towards driver-centric risk assessment: Risk object identification via causal inference
Li, C., Chan, S. H. & Chen, Y. T., 24 Oct 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. Institute of Electrical and Electronics Engineers Inc., p. 10711-10718 8 p. 9341072. (IEEE International Conference on Intelligent Robots and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review