Gao Huang
Also known as Huang Gao
Gao Huang is an associate professor in the Department of Automation at Tsinghua University. He was the first author of Densely Connected Convolutional Networks, the DenseNet paper that won the CVPR 2017 Best Paper Award. In 2015 he earned a machine-learning PhD at Tsinghua University, and he then worked as a postdoctoral researcher at Cornell. The MIT Innovators Under 35 award recognized him in 2021, when he was an assistant professor at Tsinghua. In 2025 and 2026, his group's papers received a NeurIPS Best Paper Runner-up award and an ICML Outstanding Paper Award.
Timeline
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2015
A machine-learning PhD
He completes a machine-learning PhD at Tsinghua University in 2015.
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2015
Postdoctoral work at Cornell
He starts postdoctoral work at Cornell University in 2015, working with Kilian Q. Weinberger.
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2017
A CVPR best paper for DenseNet
He is the first author of Densely Connected Convolutional Networks, which wins the CVPR 2017 Best Paper Award.
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2021
An MIT Innovators Under 35 award
He receives the MIT Innovators Under 35 award in 2021, when he is an assistant professor at Tsinghua University.
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2025
A NeurIPS runner-up paper
His group's paper, titled 'Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?', receives a NeurIPS 2025 Best Paper Runner-up award.
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2026
An ICML outstanding paper
The Flexibility Trap, a paper he co-authors, wins an ICML 2026 Outstanding Paper Award.
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As of October 2026
Associate professor at Tsinghua
He is an associate professor in the Department of Automation at Tsinghua University.
Sources and credits
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