Li Yang
Orcid: 0000-0002-2839-6196Affiliations:
- University of North Carolina at Charlotte, NC, USA
- Arizona State University, Tempe, AZ, USA (Ph.D.)
According to our database1,
Li Yang
authored at least 39 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing.
CoRR, 2023
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration.
IEEE Trans. Computers, 2022
IEEE Micro, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE International Reliability Physics Symposium, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
XMA: a crossbar-aware multi-task adaption framework via shift-based mask learning method.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
DA<sup>3</sup>: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
XBM: A Crossbar Column-wise Binary Mask Learning Method for Efficient Multiple Task Adaption.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Structured Pruning of RRAM Crossbars for Efficient In-Memory Computing Acceleration of Deep Neural Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy.
CoRR, 2021
Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification.
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
2020
Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution.
ACM J. Emerg. Technol. Comput. Syst., 2020
CoRR, 2020
Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency.
Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020
Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
A Flexible Processing-in-Memory Accelerator for Dynamic Channel-Adaptive Deep Neural Networks.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness.
CoRR, 2019
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019
2018
A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference.
Proceedings of the International Symposium on Low Power Electronics and Design, 2018