Kaiwen Hong

According to our database, Kaiwen Hong authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Diff-Ensembler: Learning to Ensemble 2D Diffusion Models for Volume-to-Volume Medical Image Translation.

Xiyue Zhu, Dou Hoon Kwark, Ruike Zhu, Kaiwen Hong, Yiqi Tao, Shirui Luo, Yudu Li, Zhi-Pei Liang, Volodymyr V. Kindratenko

CoRR, January, 2025

2024

DRAGON: A Dialogue-Based Robot for Assistive Navigation With Visual Language Grounding.

Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang, Zachary Mizrachi, Justin Lin, D. Livingston McPherson, Wendy A. Rogers, Katherine Driggs-Campbell

IEEE Robotics Autom. Lett., 2024

HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments.

Shuijing Liu, Haochen Xia, Fatemeh Cheraghi Pouria, Kaiwen Hong, Neeloy Chakraborty, Katherine Rose Driggs-Campbell

CoRR, 2024

Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition.

Shengcheng Luo, Quanquan Peng, Jun Lv, Kaiwen Hong, Katherine Rose Driggs-Campbell, Cewu Lu, Yong-Lu Li

CoRR, 2024

Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation.

Shuijing Liu, Kaiwen Hong, Neeloy Chakraborty, Katherine Driggs-Campbell

CoRR, 2024

2023

Designing a Wayfinding Robot for People with Visual Impairments.

Shuijing Liu, Aamir Hasan, Kaiwen Hong, Chun-Kai Yao, Justin Lin, Weihang Liang, Megan A. Bayles, Wendy A. Rogers, Katherine Rose Driggs-Campbell

CoRR, 2023

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph.

Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Rose Driggs-Campbell

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks.

Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell

Proceedings of the Conference on Robot Learning, 2023

A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots.

Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell

Proceedings of the Conference on Robot Learning, 2023