Kaiyuan Tan - RankMe

19 papers A* 1Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PHDME: Physics-Informed Diffusion Models without Explicit Governing Equations. CoRR Kaiyuan Tan, Kendra Givens, Peilun Li, Thomas Beckers
2026	J	`jnl`	UFO: Unifying Feed-Forward and Optimization-based Methods for Large Driving Scene Modeling. CoRR Kaiyuan Tan, Yingying Shen, Mingfei Tu, Haohui Zhu, Bing Wang, Guang Chen, Hangjun Ye, Haiyang Sun
2025	—	`conf`	An RCM Adjusting Algorithm to Enhance Workspace in Ophthalmic Robotic Surgery. ROBIO Hongli Liang, Kaiyuan Tan, Kai Huang
2025	J	`jnl`	ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors. CoRR Kaiyuan Tan, Yingying Shen, Haohui Zhu, Zhiwei Zhan, Shan Zhao, Mingfei Tu, Hongcheng Luo, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye
2025	J	`jnl`	How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection. CoRR Kaiyuan Tan, Pavan Kumar B. N., Bharatesh Chakravarthi
2025	—	`conf`	Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications. L4DC Jun Wang, Hosein Hasanbeig, Kaiyuan Tan, Zihe Sun, Yiannis Kantaros
2025	—	`conf`	NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE Systems. L4DC Peilun Li, Kaiyuan Tan, Thomas Beckers
2025	A*	`conf`	Plug-and-Play Physics-Informed Learning Using Uncertainty Quantified Port-Hamiltonian Models. ICRA Kaiyuan Tan, Peilun Li, Jun Wang, Thomas Beckers
2025	J	`jnl`	Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models. CoRR Kaiyuan Tan, Peilun Li, Jun Wang, Thomas Beckers
2025	J	`jnl`	ViSE: A Systematic Approach to Vision-Only Street-View Extrapolation. CoRR Kaiyuan Tan, Yingying Shen, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye
2024	J	`jnl`	Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian Models. CoRR Kaiyuan Tan, Peilun Li, Thomas Beckers
2024	—	`conf`	Physics-constrained learning for PDE systems with uncertainty quantified port-Hamiltonian models. L4DC Kaiyuan Tan, Peilun Li, Thomas Beckers
2023	J	`jnl`	Conformal Temporal Logic Planning using Large Language Models: Knowing When to Do What and When to Ask for Help. CoRR Jun Wang, Jiaming Tong, Kaiyuan Tan, Yevgeniy Vorobeychik, Yiannis Kantaros
2023	J	`jnl`	Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications. CoRR Jun Wang, Hosein Hasanbeig, Kaiyuan Tan, Zihe Sun, Yiannis Kantaros
2023	—	`conf`	TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer. MICCAI (6) Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Haochao Ying, Jian Wu, Zuozhu Liu
2023	J	`jnl`	TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer. CoRR Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Haochao Ying, Jian Wu, Zuozhu Liu
2023	—	`conf`	Targeted Adversarial Attacks against Neural Network Trajectory Predictors. L4DC Kaiyuan Tan, Jun Wang, Yiannis Kantaros
2022	J	`jnl`	TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer. CoRR Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Zuozhu Liu
2022	J	`jnl`	Targeted Adversarial Attacks against Neural Network Trajectory Predictors. CoRR Kaiyuan Tan, Jun Wang, Yiannis Kantaros