Publications

Found 626 results
Type [ Year(Asc)]
2021
F Liang, Z Tian, M Dong, S Cheng, L Sun, H Li, Y Chen, and G Zhang. "Efficient neural network using pointwise convolution kernels with linear phase constraint." Neurocomputing 423 (2021): 572-579.
GL Zhang, B Li, X Huang, C Shen, S Zhang, F Burcea, H Graeb, TY Ho, H Li, and U Schlichtmann. "An Efficient Programming Framework for Memristor-based Neuromorphic Computing." In Proceedings Design, Automation and Test in Europe, Date, 1068-1073. Vol. 2021-February. 2021.
J Rao, Z Fan, L Hong, S Cheng, Q Huang, J Zhao, X Xiang, EJ Guo, H Guo, Z Hou et al. "An electroforming-free, analog interface-type memristor based on a SrFeOx epitaxial heterojunction for neuromorphic computing." Materials Today Physics 18 (2021).
S Wen, M Dong, Y Yang, P Zhou, T Huang, and Y Chen. "End-to-End Detection-Segmentation System for Face Labeling." Ieee Transactions on Emerging Topics in Computational Intelligence 5, no. 3 (2021): 457-467.
S Li, E Hanson, X Qian, HH Li, and Y Chen. "ESCALATE: Boosting the efficiency of sparse CNN accelerator with kernel decomposition." In Proceedings of the Annual International Symposium on Microarchitecture, Micro, 992-1004. 2021.
O Zhang, C Ding, T Pereira, R Xiao, K Gadhoumi, K Meisel, RJ Lee, Y Chen, and X Hu. "Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment." Ieee Access 9 (2021): 29736-29745.
X Liu, M Mao, X Bi, H Li, and Y Chen. "Exploring Applications of STT-RAM in GPU Architectures." Ieee Transactions on Circuits and Systems I: Regular Papers 68, no. 1 (2021): 238-249.
A Li, J Sun, X Zeng, M Zhang, H Li, and Y Chen. "FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking." In Sensys 2021 Proceedings of the 2021 19th Acm Conference on Embedded Networked Sensor Systems, 42-55. 2021.
Z Gao, A Li, Y Gao, B Li, Y Wang, and Y Chen. "FedSwap: A Federated Learning based 5G Decentralized Dynamic Spectrum Access System." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. Vol. 2021-November. 2021.
J Sun, A Li, L DiValentin, A Hassanzadeh, Y Chen, and H Li. "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective." In Advances in Neural Information Processing Systems, 12613-12624. Vol. 15. 2021.
Z Gao, A Li, Y Gao, Y Wang, and Y Chen. "Hermes: Decentralized dynamic spectrum access system for massive devices deployment in 5g." In International Conference on Embedded Wireless Systems and Networks. 2021.
E Yeats, Y Chen, and H Li. "Improving Gradient Regularization using Complex-Valued Neural Networks." In International Conference on Machine Learning, Vol 139. Vol. 139. 2021.
C Wang, D Feng, W Tong, Y Hua, J Liu, B Wu, W Zhao, L Song, Y Zhang, J Xu et al. "Improving Multilevel Writes on Vertical 3-D Cross-Point Resistive Memory." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 40, no. 4 (2021): 762-775.
C Wang, D Feng, W Tong, J Liu, B Wu, W Zhao, Y Zhang, and Y Chen. "Improving Write Performance on Cross-Point RRAM Arrays by Leveraging Multidimensional Non-Uniformity of Cell Effective Voltage." Ieee Transactions on Computers 70, no. 4 (2021): 566-580.
Y Chen, Q Qiu, and Y Lin. "Introduction of Special Issue on Hardware and Algorithms for Efficient Machine LearningΓÇôPart 1." Acm Journal on Emerging Technologies in Computing Systems 17, no. 2 (2021).
Y Chen, Q Qiu, and Y Lin. "Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 2." Acm Journal on Emerging Technologies in Computing Systems 17, no. 4 (2021).
BK Joardar,, H Li, K Chakrabarty, and PP Pande. "Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators." Acm Transactions on Embedded Computing Systems 20, no. 5s (2021): 1-23.
Q Zhang, B Wang, W Wen, H Li, and J Liu. "Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization." In 2021 Ieee Winter Conference on Applications of Computer Vision (Wacv). 2021.
A Li, J Sun, B Wang, L Duan, S Li, Y Chen, and H Li. "LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning." In 6th Acm/Ieee Symposium on Edge Computing, Sec 2021, 68-79. 2021.
F Chen, L Song, H Li, and Y Chen. "Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D." In Proceedings Design, Automation and Test in Europe, Date, 1240-1245. Vol. 2021-February. 2021.
S Wen, H Wei, Y Yang, Z Guo, Z Zeng, T Huang, and Y Chen. "Memristive LSTM Network for Sentiment Analysis." Ieee Transactions on Systems, Man, and Cybernetics: Systems 51, no. 3 (2021): 1794-1804.
S Wen, W Liu, Y Yang, P Zhou, Z Guo, Z Yan, Y Chen, and T Huang. "Multilabel Image Classification via Feature/Label Co-Projection." Ieee Transactions on Systems, Man, and Cybernetics: Systems 51, no. 11 (2021): 7250-7259.
X Yang, S Belakaria, BK Joardar, H Yang,, PP Pande, K Chakrabarty, and H Li. "Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. Vol. 2021-November. 2021.
HP Cheng, T Zhang, Y Zhang, S Li, F Liang, F Yan, M Li, V Chandra, H Li, and Y Chen. "NASGEM: Neural Architecture Search via Graph Embedding Method." In 35th Aaai Conference on Artificial Intelligence, Aaai 2021, 7090-7098. Vol. 8B. 2021.
Z Xie, R Liang, X Xu, J Hu, Y Duan, and Y Chen. "Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 671-677. 2021.

Pages