Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2022
Symbolic Learning to Optimize: Towards Interpretability and Scalability.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Good Students Play Big Lottery Better.
CoRR, 2021
Undistillable: Making A Nasty Teacher That CANNOT teach students.
Proceedings of the 9th International Conference on Learning Representations, 2021
VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms.
Proceedings of the IEEE International Conference on Acoustics, 2021
Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference.
IEEE J. Sel. Top. Signal Process., 2020
VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms.
CoRR, 2020
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference.
Proceedings of the 8th International Conference on Learning Representations, 2020
Oasis: A Mobile Cyber-Physical System for Accessible Location Exploration.
Proc. IEEE, 2018
Learning Adaptive Hidden Layers for Mobile Gesture Recognition.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
A reliable brain computer interface implemented on an FPGA for a mobile dialing system.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014