Ruihan Gao

Ruihan Gao (高睿晗)

I am a 2nd-year PhD Student at Carnegie Mellon University, advised by Prof. Jun-Yan Zhu and Prof. Wenzhen Yuan. My research interests lie in the intersection of machine learning, tactile sensing, and haptic-rendering.

I received B.Eng.(Hons) in Electrical and Electronic Engineering from Nanyang Technological University, Singapore in 2020. After graduation, I joined A*STAR Institute for Infocomm Research (I2R) as a Research Engineer. I am grateful for Prof. Zhiping Lin who led me into academic research and I have spent great time working with Dr. Yan Wu and collegues at A*STAR on robotic tactile sensing projects.

I envision robots interacting with humans naturally and aspires to realize it with multi-modal perception and rendering powered by machine learning.

Email / CV / Github / Google Scholar / Linkedin

Selected Publication

	Controllable Visual-Tactile Synthesis Ruihan Gao, Wenzhen Yuan, Jun-Yan Zhu, ICCV, 2023 Webpage / Paper / Code / Data We synthesize visual appearance and tactile geometry of different materials, given a handcrafted or DALL⋅E 2 sketch, and render the multi-modal output on a haptic screen called TanvasTouch.
	Investigating Vision Foundational Models for Tactile Representation Learning Ben Zandonati, Ruohan Wang, Ruihan Gao, Yan Wu, arxiv, 2023 Paper
	On Explainability and Sensor-Adaptability of a Robot Tactile Texture Representation Using a Two-Stage Recurrent Networks Ruihan Gao^, Tian Tian^, Zhiping Lin, Yan Wu, IROS, 2021 Paper
	Supervised Autoencoder Joint Learning on Heterogeneous Tactile Sensory Data: Improving Material Classification Performance Ruihan Gao, Tasbolat Taunyazov, Zhiping Lin, Yan Wu, IROS, 2020 Paper
	Fast Texture Classification Using Tactile Neural Coding and Spiking Neural Network Tasbolat Taunyazov, Yansong Chua, Ruihan Gao, Harold Soh, Yan Wu, IROS, 2020 Paper

	Towards a Programming-Free Robotic System for Assembly Tasks Using Intuitive Interactions Nicolas Gauthier, Wenyu Liang, Qianli Xu, Fen Fang, Liyuan Li, Ruihan Gao, Yan Wu, Joo Hwee Lim ICSR, 2021. Paper
	Classification of Non-tumorous Facial Pigmentation Disorders Using Generative Adversarial Networks and Improved SMOTE Jiawei Peng, Ruihan Gao, Steven Thng, Weimin Huang, Zhiping Lin, IEEE Engineering in Medicine & Biology Society (EMBC), 2021.
	Runtime-safety-guided policy repair Weichao Zhou, Ruihan Gao, Kim BaekGy, Eunsuk Kang, Wenchao Li, RV, 2020 Paper
	Biomedical image classification based on a feature concatenation and ensemble of deep CNNs Long D. Nguyen, Ruihan Gao, Dongyun Lin, Zhiping Lin, Journal of Ambient Intelligence and Humanized Computing, 2019. Paper
	Classification of Non-Tumorous Facial Pigmentation Disorders using Deep Learning and SMOTE Ruihan Gao, Jiawei Peng, Nguyen Long, Yunfeng Liang, Steven Thng, Zhiping Lin, ISCAS, 2019. Paper
	Classification of Non-Tumorous Facial Pigmentation Disorders Using Improved SMOTE and Transfer Learning Jiawei Peng, Ruihan Gao, Nguyen Long, Yunfeng Liang, Steven Thng, Zhiping Lin, ISCAS, 2019. Paper

^* denotes equal contribution

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