Gang Zeng is a researcher and a doctoral supervisor. He completed his undergraduate studies at the School of Mathematical Sciences, Peking University in 2001. In 2006, he obtained his Ph.D. in Computer Science and Technology from the Hong Kong University of Science and Technology. Afterward, he worked as an assistant researcher at the Swiss Federal Institute of Technology in Zurich. In late 2008, he was selected as a "Young Excellent Talent" at Peking University. He has been dedicated to research in computer vision and graphics, particularly in image-based scene analysis and 3D modeling. He has published over 50 papers in prestigious international computer vision and graphics journals and conferences, including CVPR, ICCV, IJCV, PAMI, SIGGRAPH, and TOG. According to Google Scholar, his papers have been cited over 2000 times. He has led several research projects under the National Key Research and Development Program and the National Natural Science Foundation of China. He has received awards such as the Best Poster Award at the 2011 MPR International Workshop, 4th place in the Scene Parsing competition at the 2016 ImageNet Large Scale Visual Recognition Challenge (ILSVRC), the Best Paper Award at the 2017 China Conference on Computer Vision (CCCV), and the Best Scientific Paper Award at the 2018 International Conference on Pattern Recognition (ICPR). He has served as an editorial board member for the international journal Neurocomputing and held chair positions at international conferences such as ACPR 2011, CAD/Graphics 2013, and IWRCV 2015. He is the Secretary-General and Executive Committee Member of the Machine Vision Professional Committee of the China Graphics Society. He is also a member of the Digital Nuclear Power Engineering Virtual Simulation Laboratory and Collaboration Platform Expert Group at the National Energy Nuclear Power Engineering Construction Technology Research and Development (Experimental) Center, Deputy Director of the Peking University-Sensetime Machine Vision Joint Laboratory, and Assistant Director of the Peking University-Microsoft Statistical and Information Technology Laboratory.
