PhD Spotlight: Yulun Zhang, PhD’21 – Computer Engineering
After completing an MS in Control Engineering at Tsinghua University, Yulun Zhang, PhD’21, computer engineering, joined the Department of Electrical and Computer Engineering PhD program at Northeastern University in 2017, working in the Synergetic Media Learning Lab, advised by Professor Yun Raymond Fu. The SMILE Lab, as it is known, focuses on the frontier research of artificial intelligence, especially machine learning, computer vision, and data mining. Zhang’s research broadly includes computer vision applications: image/video restoration (e.g., super-resolution, denoising, deblurring), synthesis (e.g., style transfer, texture transfer), biomedical image enhancement and analysis, and deep model compression, computational imaging (e.g., spectral compressive imaging). His doctoral study mainly focuses on image restoration and generation by designing more efficient network structures. In addition to his research at the SMILE Lab, Zhang was a fellow at Harvard University in the Visual Computing Group. He also was a research intern at Adobe Research for two summers. To date, over 30 of Zhang’s publications have been accepted, including several papers in top computer vision conferences, like CVPR, ICCV, ECCV, ICLR, and top IEEE transaction journals, such as IEEE TPAMI (IF: 17.730) and IEEE TIP (IF: 10.865). His image super-resolution works residual dense network (RDN) and residual channel attention network (RCAN) rank as top 10 most cited papers on the CVPR 2018 and ECCV 2018 conferences, respectively. Additionally, he has over 4375 citations, according to Google Scholar, and his released code in Github has received over 2000 stars. He received the Best Student Paper Award at the IEEE International Conference on Visual Communication and Image Processing (VCIP) in 2015. He also won the Best Paper Award at the IEEE International Conference on Computer Vision (ICCV) RLQ Workshop in 2019. After graduation, Zhang plans to continue conducting research at a university.