Publications

Found 626 results
Type [ Year(Desc)]
2019
HP Cheng, T Zhang, Y Yang, F Yan, H Teague, Y Chen, and H Li. "MSNet: Structural wired neural architecture search for internet of things." In Proceedings 2019 International Conference on Computer Vision Workshop, Iccvw 2019, 2033-2036. 2019.
C Min, J Mao, H Li, and Y Chen. "NeuralHMC: An efficient HMC-based accelerator for deep neural networks." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 432-437. 2019.
C Yang, X Qiao, and Y Chen. "Neuromorphic computing systems: From CMOS to emerging nonvolatile memory." Ipsj Transactions on System Lsi Design Methodology 12 (2019): 53-64.
X Chai, Z Gan, K Yuan, Y Chen, and X Liu. "A novel image encryption scheme based on DNA sequence operations and chaotic systems." Neural Computing and Applications 31, no. 1 (2019): 219-237.
B Li, B Yan, and H Li. "An overview of in-memory processing with emerging non-volatile memory for data-intensive applications." In Proceedings of the Acm Great Lakes Symposium on Vlsi, Glsvlsi, 381-386. 2019.
A Li, C Wu, Y Chen, and B Ni. "Poster abstract: An efficient edge-assisted mobile system for video photorealistic style transfer." In Proceedings of the 4th Acm/Ieee Symposium on Edge Computing, Sec 2019, 332-333. 2019.
DG Sangvai, and AJ Viera. Preface.. Vol. 46., 2019.
S Li, N Xiao, P Wang, G Sun, X Wang, Y Chen, H Li, J Cong, and T Zhang. "RC-NVM: Dual-Addressing Non-Volatile Memory Architecture Supporting Both Row and Column Memory Accesses." Ieee Transactions on Computers 68, no. 2 (2019): 239-254.
L Song, Y Wu, X Qian, H Li, and Y Chen. "ReBNN: in-situ acceleration of binarized neural networks in ReRAM using complementary resistive cell." Ccf Transactions on High Performance Computing 1, no. 3-4 (2019): 196-208.
Z Fan, Z Li, B Li, Y Chen, and HH Li. "RED: A ReRAM-based Deconvolution Accelerator." In Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, Date 2019, 1763-1768. 2019.
BK Joardar, B Li,, H Li, PP Pande, and K Chakrabarty. "REGENT: A Heterogeneous ReRAM/GPU-based Architecture Enabled by NoC for Training CNNs." In Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, Date 2019, 522-527. 2019.
Y Chen. "Reshaping Future Computing Systems with Emerging Nonvolatile Memory Technologies." Ieee Micro 39, no. 1 (2019): 54-57.
B Yan, B Li, X Qiao, C-X Xue, M Chang, Y Chen, and HH Li. "Resistive Memory‐Based In‐Memory Computing: From Device and Large‐Scale Integration System Perspectives." Advanced Intelligent Systems 1, no. 7 (2019): 1900068.
YH Huang, Z Xie, GQ Fang, TC Yu, H Ren, SY Fang, Y Chen, and J Hu. "Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model." In Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, Date 2019, 180-185. 2019.
B Yan, Q Yang, WH Chen, KT Chang, JW Su, CH Hsu, SH Li, HY Lee, SS Sheu, MS Ho et al. "RRAM-based Spiking Nonvolatile Computing-In-Memory Processing Engine with Precision-Configurable in Situ Nonlinear Activation." In Digest of Technical Papers Symposium on Vlsi Technology, T86-T87. Vol. 2019-June. 2019.
M Ardi, AC Berg, B Chen, YK Chen, Y Chen, D Kang, J Lee, S Lee, Y Lu, YH Lu et al. "Special Session: 2018 Low-Power Image Recognition Challenge and beyond." In Proceedings 2019 Ieee International Conference on Artificial Intelligence Circuits and Systems, Aicas 2019, 154-157. 2019.
P Bogdan, F Chen, A Deshwal,, BK Joardar, H Li, S Nazarian, L Song, and Y Xiao. "Taming extreme heterogeneity via machine learning based design of autonomous manycore systems." In Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, Codes/Isss 2019. 2019.
B Li, M Mao, X Liu, T Liu, Z Liu, W Wen, Y Chen, and HH Li. "Thread batching for high-performance energy-efficient GPU memory design." Acm Journal on Emerging Technologies in Computing Systems 15, no. 4 (2019).
HP Cheng, P Yu, H Hu, S Zawad, F Yan, S Li, H Li, and Y Chen. "Towards decentralized deep learning with differential privacy." In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 130-145. Vol. 11513 LNCS. 2019.
Y Xu, Y Li, S Zhang, W Wen, B Wang, W Dai, Y Qi, Y Chen, W Lin, and H Xiong. "Trained Rank Pruning for Efficient Deep Neural Networks." In Proceedings 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing, Emc2 Nips 2019, 14-17. 2019.
F Chen, L Song, HH Li, and Y Chen. "ZARA: A novel zero-free dataflow accelerator for generative adversarial networks in 3D ReRAM." In Proceedings Design Automation Conference. 2019.
2020
Y Chen. "2020: Looking Forward to the Next Decade [From the Editor]." Ieee Circuits and Systems Magazine 20, no. 1 (2020).
B Li,, PP Pande, K Chakrabarty, JX Qiu, and HH Li. "3D-ReG: A 3D ReRAM-based Heterogeneous Architecture for Training Deep Neural Networks." Acm Journal on Emerging Technologies in Computing Systems 16, no. 2 (2020).
X Ye, P Dai, J Luo, X Guo, Y Qi, J Yang, and Y Chen. "Accelerating CNN Training by Pruning Activation Gradients." In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 322-338. Vol. 12370 LNCS. 2020.
L Song, F Chen, Y Zhuo, X Qian, H Li, and Y Chen. "AccPar: Tensor partitioning for heterogeneous deep learning accelerators." In Proceedings 2020 Ieee International Symposium on High Performance Computer Architecture, Hpca 2020, 342-355. 2020.

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