Ruohan Zhang

Ruohan Zhang

I am a posdoctoral researcher at Stanford Vision and Learning Lab (SVL), Stanford Institute for Human-Centered Artificial Intelligence (HAI), and Wu Tsai Human Performance Alliance. I work on robotics, human-robot interaction, brain-machine interface, neuroscience, and art. I am currently working with Prof. Fei-Fei Li, Prof. Jiajun Wu, and Prof. Silvio Savarese. I received my Ph.D. from The University of Texas at Austin, advised by Prof. Dana Ballard and Prof. Mary Hayhoe.

I am on academic job market 2024-2025.

/ / zharu [at] stanford (dot) edu

My longterm research interest is human-centered artificial intelligence and robotics, inspired by Stanford Institute for Human-Centered Artificial Intelligence (HAI)'s guidelines:

Human Impact: Studying, forecasting and guiding the human and societal impact of AI and robotics. We seek to identify tasks that matter to humans, and build infrastructure to support research to solve these tasks, as in BEHAVIOR | BEHAVIOR Vision Suite.
Human Intelligence: Developing human-level, human-inspired intelligence. We leverage large-scale and diverse human data for robot learning, as in MimicPlay | DexCap | TRANSIC | SEED | AGIL.
We further try to better understand human brain and behaviors (neuroscience and cognitive science), as in GSM | ModularIRL | VIVR.
Human Augmentation: Creating AI and robotic applications that augment human capabilities. We aim at widening the communication pipeline between humans and robots, as in NOIR | VoxPoser.

2022-24 Wu Tsai Human Performance Alliance Fellowship, Stanford University
2019 University Continuing Fellowship, The University of Texas at Austin
2019 AAAI/SIGAI Doctoral Consortium Scholarship
2018 General International Student and Scholar Services Financial Aid Award, The University of Texas at Austin
2017-18 Google AR/VR Research Award
2014-17 College Continuing Fellowship, The University of Texas at Austin
2011 PSI CHI International Honor Society in Psychology
2008-12 Rhodes College Grants
2009-10 Rhodes College Honor Roll
2008-09 Rhodes College Dean’s List

Instructor, CS231n: Deep Learning for Computer Vision 2023, Stanford University
Teaching Assistant, Computational Brain 2019, The University of Texas at Austin
Teaching Assistant, Machine Learning 2015, The University of Texas at Austin
Teaching Assistant, Discrete Mathematics (Honor) 2014, The University of Texas at Austin
Teaching Assistant, Discrete Mathematics 2013, The University of Texas at Austin
Teaching Assistant, Logic, Sets, and Functions 2013, The University of Texas at Austin
Teaching Assistant, Qualitative Methods 2012, Rhodes College

Yingke Wang (Master, Stanford University)
Tasha Kim (Master, Stanford University)
Ryan Tan (Master, Stanford University → Glean)
Sharon Lee (Master, Stanford University → PhD, Stanford University)
Shuojia Fu (Master, Stanford University → PhD, Stanford University)
Yilun Hao (Master, Stanford University → PhD, MIT)
Jialu Gao (Undergrad, Tsinghua University → Master, Carnegie Mellon University)
Wensi Ai (Undergrad, UCLA → Master, Stanford University)
Emily Jin (Undergrad, Stanford University → Master, Stanford University)
Zhuoyi Huang (Master, Stanford University → Microsoft AI)
Minjune Hwang (Master, Stanford University → PhD, USC)
Ayano Hiranaka (Master, Stanford University → PhD, USC)
Dhruva Bansal (Master, Stanford University → Google DeepMind)
Sihang Guo (Master, The University of Texas at Austin → PhD, The University of Texas at Austin)
Dawei Liang (Master, The University of Texas at Austin → PhD, The University of Texas at Austin)
Lin Guan (Undergrad, The University of Texas at Austin → PhD, Arizona State University)
Yuezhang Liu (Undergrad, Tsinghua University → PhD, The University of Texas at Austin)
Luxin Zhang (Undergrad, Peking University → Master, Carnegie Mellon University)
Zhuode Liu (Master, The University of Texas at Austin → Google)