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Symbolic Learning to Optimize: Towards Interpretability and Scalability


Apr 02, 2022
Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang

* Published as a conference paper at ICLR 2022 

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Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks


Jun 24, 2021
Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler


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Undistillable: Making A Nasty Teacher That CANNOT teach students


May 16, 2021
Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang

* ICLR 2021 
* ICLR 2021(Spotlight). Code is available at https://github.com/VITA-Group/Nasty-Teacher 

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Good Students Play Big Lottery Better


Jan 18, 2021
Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang


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Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free


Nov 10, 2020
Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang

* NeurIPS 2020 

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Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference


Feb 25, 2020
Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang

* Published on ICLR 2020 

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VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms


Feb 06, 2020
Ting-Kuei Hu, Fernando Gama, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler


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Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference


Jul 17, 2019
Yue Wang, Jianghao Shen, Ting-Kuei Hu, Pengfei Xu, Tan Nguyen, Richard Baraniuk, Zhangyang Wang, Yingyan Lin


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