Ruohan Gao is a second year Ph.D. student under the supervision of Prof. Kristen Grauman in the Department of Computer Science at The University of Texas at Austin. Ruohan's research interests are in computer vision, machine learning and data mining. Particularly, he is currently interesed in unsupervised learning from unlabeled images and videos.
Ruohan received his B.Eng. degree from the Department of Information Engineering at The Chinese University of Hong Kong (CUHK) in 2015 with First Class Honours. At CUHK, Ruohan conducted research on large graph mining through graph sampling under the supervision of Prof. Wing Cheong Lau.
From One-Trick Ponies to All-Rounders: On-Demand Learning for Image Restoration
Ruohan Gao, Kristen Grauman.
arXiv Preprint, 2016
Object-Centric Representation Learning from Unlabeled Videos
Ruohan Gao, Dinesh Jayaraman, Kristen Grauman.
Asian Conference on Computer Vision (ACCV), Taipei, Nov. 2016.
Ruohan Gao, Huanle Xu, Pili Hu, Wing Cheong Lau, “Accelerating Graph Mining Algorithms via Uniform Random Edge Sampling”, IEEE ICC, Kuala Lumpur, May. 2016. [PDF]
Ruohan Gao, Pili Hu, Wing Cheong Lau, “Graph Property Preservation under Community-Based Sampling”, IEEE Globecom, San Diego, CA, Dec. 2015. [PDF]
Ruohan Gao, Huanle Xu, Pili Hu, Wing Cheong Lau, “Accelerating Graph Mining Algorithms via Uniform Random Edge Sampling (Poster)”, ACM Conference on Online Social Networks (COSN), Stanford, CA, Nov. 2015.