Tao Huang is a PhD candidate in Computer Science at the University of Sydney with nine years of experience applying computer vision research to real-world problems. Previously a computer vision algorithm researcher at Shanghai Lingang Jueying Intelligent Technology, he brings hands-on industry experience in translating academic models into production-ready solutions. His background includes an outstanding Bachelor's from Huazhong University of Science and Technology and ongoing doctoral research that bridges theory and applied vision systems. Based in Sydney, he maintains a personal academic page that highlights publications and projects, reflecting a commitment to open scholarship and reproducible research. Notably, his trajectory combines deep academic rigor with practical deployment experience, making him effective at moving innovations from prototype to impact.
9 years of coding experience
2 years of employment as a software developer
The University of Sydney
Bachelor's degree, Computer Science and Technology, Outstanding Graduate, Bachelor's degree, Computer Science and Technology, Outstanding Graduate at Huazhong University of Science and Technology
Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022
Contributions:1 release, 11 commits, 1 PR in 9 months
pytorchiclrrelationaliclr2022deep-learning
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