| TRGP: Trust Region Gradient Projection for Continual Learning S Lin, L Yang, D Fan, J Zhang ICLR‘22, 2022 | 87 | 2022 |
| A fully onchip binarized convolutional neural network fpga impelmentation with accurate inference L Yang, Z He, D Fan Proceedings of the International Symposium on Low Power Electronics and …, 2018 | 60 | 2018 |
| Structured pruning of RRAM crossbars for efficient in-memory computing acceleration of deep neural networks J Meng, L Yang, X Peng, S Yu, D Fan, JS Seo IEEE Transactions on Circuits and Systems II: Express Briefs 68 (5), 1576-1580, 2021 | 44 | 2021 |
| Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer S Lin, L Yang, D Fan, J Zhang NeurIPS'22, 2022 | 39 | 2022 |
| Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks L Yang, Z He, D Fan AAAI'20, 2020 | 34 | 2020 |
| Ra-bnn: Constructing robust & accurate binary neural network to simultaneously defend adversarial bit-flip attack and improve accuracy AS Rakin, L Yang, J Li, F Yao, C Chakrabarti, Y Cao, J Seo, D Fan arXiv preprint arXiv:2103.13813, 2021 | 31 | 2021 |
| Rep-Net: Efficient On-Device Learning via Feature Reprogramming L Yang, AS Rakin, D Fan CVPR'22, 12277-12286, 2022 | 28 | 2022 |
| Sparse BD-Net: A multiplication-less DNN with sparse binarized depth-wise separable convolution Z He, L Yang, S Angizi, AS Rakin, D Fan ACM Journal on Emerging Technologies in Computing Systems (JETC) 16 (2), 1-24, 2020 | 23 | 2020 |
| Robust sparse regularization: Simultaneously optimizing neural network robustness and compactness AS Rakin, Z He, L Yang, Y Wang, L Wang, D Fan arXiv preprint arXiv:1905.13074, 2019 | 22 | 2019 |
| Temperature-resilient rram-based in-memory computing for dnn inference J Meng, W Shim, L Yang, I Yeo, D Fan, S Yu, J Seo IEEE Micro 42 (1), 89-98, 2021 | 20 | 2021 |
| Hybrid RRAM/SRAM in-memory computing for robust DNN acceleration G Krishnan, Z Wang, I Yeo, L Yang, J Meng, M Liehr, RV Joshi, NC Cady, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 17 | 2022 |
| Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification J Sun, L Yang, J Zhang, F Liu, M Halappanavar, D Fan, Y Cao AAAI'22, 2021 | 14 | 2021 |
| KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning L Yang, Z He, J Zhang, D Fan CVPR'21, 2020 | 14 | 2020 |
| Non-uniform dnn structured subnets sampling for dynamic inference L Yang, Z He, Y Cao, D Fan 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 14 | 2020 |
| A flexible processing-in-memory accelerator for dynamic channel-adaptive deep neural networks L Yang, S Angizi, D Fan 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 313-318, 2020 | 14 | 2020 |
| Exploring model stability of deep neural networks for reliable RRAM-based in-memory acceleration G Krishnan, L Yang, J Sun, J Hazra, X Du, M Liehr, Z Li, K Beckmann, ... IEEE Transactions on Computers 71 (11), 2740-2752, 2022 | 13 | 2022 |
| Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning J Meng, L Yang, J Shin, D Fan, J Seo CVPR'22, 12257-12265, 2022 | 13 | 2022 |
| Grown: Grow only when necessary for continual learning L Yang, S Lin, J Zhang, D Fan arXiv preprint arXiv:2110.00908, 2021 | 13 | 2021 |
| Binarized depthwise separable neural network for object tracking in fpga L Yang, Z He, D Fan Proceedings of the 2019 on Great Lakes Symposium on VLSI, 347-350, 2019 | 13 | 2019 |
| Metagater: Fast learning of conditional channel gated networks via federated meta-learning S Lin, L Yang, Z He, D Fan, J Zhang 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems …, 2021 | 8 | 2021 |
Deliang FanAssociate Professor, School of Electrical Computer and Energy Engineering, Arizona State UniversityAdresse e-mail validée de asu.edu
