Shin-Fang
@shinfanga
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Postdoctoral Researcher
Adelaide, South Australia
Joined July 2010
RT @TheAIML: After her PhD, AIML's Dr Shin-Fang Ch'ng chose the postdoc path to explore her passion for discovery. Now, she’s delving into…
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RT @charles_rqi: Ideas are cheap — that’s something I learned from my PhD experience too. Often time a researcher sees a paper and says I…
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RT @yuliangxiu: I admire a director who never lets you guess what will happen next, the kind that keeps you constantly on your toes. In ter…
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RT @Yezhou_Yang: Data structure and algorithms course takers: why almost half of the course is talking about.. Sorting? Okay, here is why.…
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RT @omarsar0: Survey papers are my top recommendation to start getting familiar with the field of machine learning and NLP. They are usefu…
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Lifelong learning
• Read everyday. • Spend time with nature. • Ask questions. • Never stop learning. • Don't pay attention to what others think of you. • Do what interests you the most. • Study hard. • Teach others what you know. • Make mistakes and learn. • It's Okay to not know things!
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RT @geoffreyhinton: I have a new paper on how to represent part-whole hierarchies in neural networks.
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RT @gabrielpeyre: Can you hear the shape of an elephant? Eigenvectors of the Laplace-Beltrami operator generalize Fourier vectors to surfac…
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RT @gabrielpeyre: Oldies but Goldies: P. E. Hart, N. J. Nilsson, B. Raphael, A Formal Basis for the Heuristic Determination of Minimum Cos…
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RT @qixing_huang: #3DGV Our next speak is Daniele Panozzo. Talk title: "Large Scale Geometry Processing for Geometric Deep Learning". Panel…
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RT @wenzeljakob: During the last year, my group has been pondering a great deal about differentiable rendering to understand it theoretical…
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