Kaiyuan Tan

According to our database, Kaiyuan Tan authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Identify Then Project: Contrastive Learning of Latent Dynamics from Partial Observations with Port-Hamiltonian Structure.

Peilun Li, Kaiyuan Tan, Daniel Moyer, Thomas Beckers

CoRR, May, 2026

UFO: Unifying Feed-Forward and Optimization-based Methods for Large Driving Scene Modeling.

Kaiyuan Tan, Yingying Shen, Mingfei Tu, Haohui Zhu, Bing Wang, Guang Chen, Hangjun Ye, Haiyang Sun

CoRR, February, 2026

PHDME: Physics-Informed Diffusion Models without Explicit Governing Equations.

Kaiyuan Tan, Kendra Givens, Peilun Li, Thomas Beckers

CoRR, January, 2026

2025

ViSE: A Systematic Approach to Vision-Only Street-View Extrapolation.

Kaiyuan Tan, Yingying Shen, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye

CoRR, October, 2025

ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors.

Kaiyuan Tan, Yingying Shen, Haohui Zhu, Zhiwei Zhan, Shan Zhao, Mingfei Tu, Hongcheng Luo, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye

CoRR, August, 2025

How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection.

Kaiyuan Tan, Pavan Kumar B. N., Bharatesh Chakravarthi

CoRR, June, 2025

An RCM Adjusting Algorithm to Enhance Workspace in Ophthalmic Robotic Surgery.

Hongli Liang, Kaiyuan Tan, Kai Huang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025

Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications.

Jun Wang, Hosein Hasanbeig, Kaiyuan Tan, Zihe Sun, Yiannis Kantaros

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE Systems.

Peilun Li, Kaiyuan Tan, Thomas Beckers

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Plug-and-Play Physics-Informed Learning Using Uncertainty Quantified Port-Hamiltonian Models.

Kaiyuan Tan, Peilun Li, Jun Wang, Thomas Beckers

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Physics-constrained learning for PDE systems with uncertainty quantified port-Hamiltonian models.

Kaiyuan Tan, Peilun Li, Thomas Beckers

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Conformal Temporal Logic Planning using Large Language Models: Knowing When to Do What and When to Ask for Help.

Jun Wang, Jiaming Tong, Kaiyuan Tan, Yevgeniy Vorobeychik, Yiannis Kantaros

CoRR, 2023

TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer.

Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Haochao Ying, Jian Wu, Zuozhu Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Targeted Adversarial Attacks against Neural Network Trajectory Predictors.

Kaiyuan Tan, Jun Wang, Yiannis Kantaros

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer.

Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Zuozhu Liu

CoRR, 2022