The light field 3D scanner. - Yingliang Zhang; Zhong Li; Wei Yang 034; Peihong Yu; Haiting Lin; Jingyi Yu (ICCP, 2017)

Ray Space Features for Plenoptic Structure-from-Motion. - Yingliang Zhang; Peihong Yu; Wei Yang 034; Yuanxi Ma; Jingyi Yu (ICCV, 2017)

Accurate Line-Based Relative Pose Estimation With Camera Matrices. - Peihong Yu; Cen Wang; Zhirui Wang; Jingyi Yu; Laurent Kneip (IEEE Access, 2020)

Enhancing Multi-Agent Coordination through Common Operating Picture Integration. - Peihong Yu; Bhoram Lee; Aswin Raghavan; Supun Samarasekera; Pratap Tokekar; James Zachary Hare (CoRR, 2023)

On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning. - Anas Barakat; Souradip Chakraborty; Peihong Yu; Pratap Tokekar; Amrit Singh Bedi (CoRR, 2024)

VisAnatomy: An SVG Chart Corpus with Fine-Grained Semantic Labels. - Chen Chen; Hannah K. Bako; Peihong Yu; John Hooker; Jeffrey Joyal; Simon C. Wang; Samuel Kim; Jessica Wu; Aoxue Ding; Lara Sandeep; Alex Chen; Chayanika Sinha; et al. (CoRR, 2024)

Learning with Less Effort: Efficient Training and Generalization in (Multi-)Robot Systems. - Peihong Yu (AAMAS, 2025)

Task-Agnostic Contrastive pre-Training for Inter-Agent Communication. - Peihong Yu; Manav Mishra; Syed Zaidi; Pratap Tokekar (AAMAS, 2025)

Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning. - Peihong Yu; Manav Mishra; Alec Koppel; Carl E. Busart; Priya Narayan; Dinesh Manocha; Amrit Singh Bedi; Pratap Tokekar (Trans. Mach. Learn. Res., 2025)

TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication. - Peihong Yu; Manav Mishra; Syed Zaidi; Pratap Tokekar (CoRR, 2025)

Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches. - Peihong Yu; Amisha Bhaskar; Anukriti Singh; Zahiruddin Mahammad; Pratap Tokekar (CoRR, 2025)

VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences. - Anukriti Singh; Amisha Bhaskar; Peihong Yu; Souradip Chakraborty; Ruthwik Dasyam; Amrit Singh Bedi; Pratap Tokekar (CoRR, 2025)