Publications

Found 600 results
Type [ Year(Asc)]
2020
TY Ho, S Tan, and Y Chen. "Message from the Technical Program Committee." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac. Vol. 2020-January. 2020.
Q Zheng, X Li, Z Wang, G Sun, Y Cai, R Huang, Y Chen, and H Li. "MobiLattice: A Depth-wise DCNN Accelerator with Hybrid Digital/Analog Nonvolatile Processing-In-Memory Block." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. Vol. 2020-November. 2020.
A Li, C Wu, Y Chen, and B Ni. "MVStylizer: An efficient edge-assisted video photorealistic style transfer system for mobile phones." In Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (Mobihoc), 31-40. 2020.
W Wen, H Liu, Y Chen, H Li, G Bender, and PJ Kindermans. "Neural Predictor for Neural Architecture Search." In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 660-676. Vol. 12374 LNCS. 2020.
B Yan, Z Li, B Taylor, H Li, and Y Chen. "Neuromorphic Computing Systems with Emerging Nonvolatile Memories: A Circuits and Systems Perspective." In 2020 International Symposium on Vlsi Technology, Systems and Applications, Vlsi Tsa 2020, 122-123. 2020.
L Song, F Chen, Y Chen, and HH Li. "Parallelism in Deep Learning Accelerators." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 645-650. Vol. 2020-January. 2020.
F Chen, L Song, HH Li, and Y Chen. "PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 175-180. Vol. 2020-January. 2020.
S Li, E Hanson, H Li, and Y Chen. "PENNI: Pruned kernel sharing for efficient cnn inference." In 37th International Conference on Machine Learning, Icml 2020, 5819-5829. Vol. PartF168147-8. 2020.
N Inkawhich, KJ Liang, B Wang, M Inkawhich, L Carin, and Y Chen. "Perturbing across the feature hierarchy to improve standard and strict blackbox attack transferability." In Advances in Neural Information Processing Systems. Vol. 2020-December. 2020.
Z Xie, H Ren, B Khailany, Y Sheng, S Santosh, J Hu, and Y Chen. "PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 13-18. Vol. 2020-January. 2020.
S Wang, Y CAO, S Wen, Z Guo, T Huang, and Y Chen. "Projective Synchroniztion of Neural Networks via Continuous/Periodic Event-Based Sampling Algorithms." Ieee Transactions on Network Science and Engineering 7, no. 4 (2020): 2746-2754.
S Zhang, B Li, HH Li, and U Schlichtmann. "A Pulse-width Modulation Neuron with Continuous Activation for Processing-In-Memory Engines." In Proceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, Date 2020, 1426-1431. 2020.
B Sun, S Wen, S Wang, T Huang, Y Chen, and P Li. "Quantized synchronization of memristive neural networks with time-varying delays via super-twisting algorithm." Neurocomputing 380 (2020): 133-140.
Y Wang, F Chen, L Song, CJ Richard Shi, HH Li, and Y Chen. "ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM." In Proceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, Date 2020, 1472-1477. 2020.
Z Li, B Li, Z Fan, and H Li. "RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 39, no. 12 (2020): 4736-4747.
C Wu, B Ni, and H Li. "Redistributing and Re-Stylizing Features for Training a Fast Photorealistic Stylizer." In Proceedings of the International Joint Conference on Neural Networks. 2020.
Z Li, B Yan, and HH Li. "ReSiPE: ReRAM-based single-spiking processing-in-memory engine." In Proceedings Design Automation Conference. Vol. 2020-July. 2020.
X Yang, B Yan, H Li, and Y Chen. "ReTransformer: ReRAM-based Processing-in-Memory Architecture for Transformer Acceleration." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. Vol. 2020-November. 2020.
L Chen, Z He, C Li, S Wen, and Y Chen. "Revisiting memristor properties." International Journal of Bifurcation and Chaos 30, no. 12 (2020).
R Liang, Z Xie, J Jung, V Chauha, Y Chen, J Hu, H Xiang, and GJ Nam. "Routing-Free Crosstalk Prediction." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. Vol. 2020-November. 2020.
S Wang, Y CAO, T Huang, Y Chen, P Li, and S Wen. "Sliding mode control of neural networks via continuous or periodic sampling event-triggering algorithm." Neural Networks : the Official Journal of the International Neural Network Society 121 (2020): 140-147.
M Inkawhich, Y Chen, and H Li. "Snooping attacks on deep reinforcement learning." In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, Aamas, 557-565. Vol. 2020-May. 2020.
P Dai, J Yang, X Ye, X Cheng, J Luo, L Song, Y Chen, and W Zhao. "SparseTrain: Exploiting dataflow sparsity for efficient convolutional neural networks training." In Proceedings Design Automation Conference. Vol. 2020-July. 2020.
X Jia, J Yang, P Dai, R Liu, Y Chen, and W Zhao. "SPINBIS: Spintronics-based Bayesian inference system with stochastic computing." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 39, no. 4 (2020): 789-802.
J Zhang, J Huang, M Deisher, H Li, and Y Chen. "Structural sparsification for far-field speaker recognition with intel R GNA." In 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), 3037-3041. Vol. 2020-May. 2020.

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