Since 2022, Dr. Bao has been a Senior Staff Researcher specializing in optimizing ML systems. In October 2022, he received the Shanghai Leading Talent (Overseas) award and the Shanghai Pujiang Program Award, leading a 2-year research project in artificial intelligence and heterogeneous computing. With extensive experience in university research and industry software engineering, he excels in rapidly prototyping and commercially implementing innovative ideas. He has six years of full-time research experience in computer vision, deep learning, and medical informatics, and nine years of industry experience as a senior software engineer in developing and designing large-scale commercial software projects.
From 2008 to 2016, he played a crucial role in the architecture design and development of a cross-platform video streaming system at iQiYi.com. His work included creating and implementing a universal video streaming system that remains in stable operation across hundreds of millions of devices, supporting over one billion daily video views and improving the platform’s video view success rate by over 6% since 2014. He also pioneered the technical solution for streaming iQiYi’s video and advertising content on third-party platforms, leading to a $300 million investment by Xiaomi in late 2014. Additionally, he developed a human-machine interaction and video-on-demand solution for early-stage Internet TV (Smart TV), which has been widely adopted by Smart TV and TVBox devices since 2013.
From 2016 to 2021, he achieved academic success as a Master’s and PhD student at the University of Sydney, earning high honours, half-fee scholarships, summer research opportunities, and placement on the dean’s list. He also received PhD and postgraduate supplementary scholarships. During this time, he published high-quality scientific papers in the fields of machine learning, pattern recognition, and translational medicine in prestigious journals such as Pattern Recognition, IEEE JBHI and Lancet family journals.
X. Guan, H. Zhou, G. Bao, H. Li, L. Zhu and J. Yao, "PresCount: Effective Register Allocation for Bank Conflict Reduction," 2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), Edinburgh, United Kingdom, 2024, pp. 170-181, doi: 10.1109/CGO57630.2024.10444841.
Yan Zhao, Xiuying Wang, Tongtong Che, Guoqing Bao, and Shuyu Li. 2023. Multi-task deep learning for medical image computing and analysis: A review. Comput. Biol. Med. 153, C (Feb 2023). https://doi.org/10.1016/j.compbiomed.2022.106496
Alzoubi Islam, Guoqing Bao, Rong Zhang, Christina Loh, Yuqi Zheng, Svetlana Cherepanoff, Gary Gracie, Maggie Lee, Michael Kuligowski, Kimberley L. Alexander, Michael E. Buckland, Xiuying Wang, and Manuel B. Graeber, 2022, "An Open-Source AI Framework for the Analysis of Single Cells in Whole-Slide Images with a Note on CD276 in Glioblastoma", Cancers, no. 14: 3441, doi: 10.3390/cancers14143441.
Guoqing Bao et al., (2021). "COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for COVID-19 Diagnosis and Severity Assessment" Pattern Recognition, 2021, doi: 10.1016/j.patcog.2021.108499.
Juan Shi and Guoqing Bao (co-first author) et al., (2021). "Deciphering CT texture features of human visceral fat to evaluate metabolic disorders and surgery-induced weight loss effects" Lancet EBiomedicine, vol. 69, p. 103471, 2021, doi: 10.1016/j.ebiom.2021.103471.
Guoqing Bao, Xiuying Wang, Ran Xu, Christina Loh, Oreoluwa Daniel Adeyinka, Dula Asheka Pieris, Svetlana Cherepanoff, Gary Gracie, Maggie Lee, Kerrie L. McDonald, Anna K. Nowak, Richard Banati, Michael E. Buckland, and Manuel B. Graeber, (2021). "PathoFusion: An open-source AI framework for recognition of pathomorphological features and mapping of immunohistochemical data" Cancers. 13(4):617.
Guoqing Bao, Manuel B. Graeber, Xiuying Wang (2020). "A Bifocal Classification and Fusion Network for Multimodal Image Analysis in Histopathology" International Conference on Control, Automation, Robotics and Vision pp. 747-752, doi: 10.1109/ICARCV50220.2020.9305360
Guoqing Bao, Manuel B. Graeber, Xiuying Wang (2020). "Depthwise Multiception Convolution for Reducing Network Parameters without Sacrificing Accuracy" International Conference on Control, Automation, Robotics and Vision pp. 747-752, doi: 10.1109/ICARCV50220.2020.9305369
Guoqing Bao, Ran Xu, Xiuying Wang, Jianxiong Ji, Linlin Wang, Wenjie Li, Qing Zhang, Bin Huang, Anjing Chen, Beihua Kong, Qifeng Yang, Xinyu Wang, Jian Wang, Xingang Li. (2020). "Identification of lncRNA Signature Associated With Pan-cancer Prognosis" IEEE Journal of Biomedical and Health Informatics. doi: 10.1109/JBHI.2020.3027680.
Guoqing Bao, Chaojie Zheng, Panli Li, Hui Cui, Xiuying Wang, Shaoli Song, Gang Huang, Dagan Feng (2017). "3D Segmentation of Residual Thyroid Tissue Using Constrained Region Growing and Voting Strategies" International Conference on Digital Image Computing: Techniques and Applications pp. 1-5, doi: 10.1109/DICTA.2017.8227384
Tutorial at School of Computer Science, The University of Sydney, Sydney, Australia
Tutorial at School of Computer Science, The University of Sydney, Sydney, Australia
Tutorial at School of Computer Science, The University of Sydney, Sydney, Australia
Tutorial at School of Computer Science, The University of Sydney, Sydney, Australia
talk at The 16th International Conference on Control, Automation, Robotics and Vision, Shenzheng, China
talk at The 16th International Conference on Control, Automation, Robotics and Vision, Shenzheng, China