Publications

Found 605 results
Type [ Year(Asc)]
2022
B Yan, JL Hsu, PC Yu, CC Lee, Y Zhang, W Yue, G Mei, Y Yang, H Li, Y Chen et al. "A 1.041-Mb/mm227.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications." In Digest of Technical Papers Ieee International Solid State Circuits Conference, 188-190. Vol. 2022-February. 2022.
J Zhang, J Tang, Y Chen, J Liu, J Ye, M Wolf, V Narayanan, M Srivastava, MI Jordan, and V Bahl. "The 5th Artificial Intelligence of Things (AIoT) Workshop." In Proceedings of the Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, 4912-4913. 2022.
C Ogbogu, AI Arka, BK Joardar,, H Li, K Chakrabarty, and PP Pande. "Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 11 (2022): 3626-3637.
Z Li, Q Zheng, B Yan, R Huang, B Li, and Y Chen. "ASTERS: Adaptable Threshold Spike-timing Neuromorphic Design with Twin-Column ReRAM Synapses." In Proceedings Design Automation Conference, 1099-1104. 2022.
Z Gao, M Tang, A Li, and Y Chen. "An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors." In Proceedings International Symposium on Quality Electronic Design, Isqed. Vol. 2022-April. 2022.
E Hanson, S Li, HH Li, and Y Chen. "Cascading Structured Pruning: Enabling High Data Reuse for Sparse DNN Accelerators." In Proceedings International Symposium on Computer Architecture, 522-535. 2022.
E Hanson, S Li, X Qian, H Li, and Y Chen. "DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs." Ieee Transactions on Computers (2022): 1-12.
X Yang, H Yang,, PP Pande, K Chakrabarty, and H Li. "ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-aware ReRAM-based In-Memory Training Systems." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems (2022): 1.
M Tang, X Ning, Y Wang, J Sun, H Li, and Y Chen. "FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning." In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 10092-10101. Vol. 2022-June. 2022.
Y Chen, and Q Qiu. "Guest Editorial: IEEE TC Special Issue on Software, Hardware and Applications for Neuromorphic Computing." Ieee Transactions on Computers 71, no. 11 (2022): 2705-2706.
HH Li, AR Alameldeen, and O Mutlu. "Guest Editors' Introduction: Near-Memory and In-Memory Processing." Ieee Design & Test 39, no. 2 (2022): 46-47.
C Wu, X Yang, H Yu, R Peng, I Takeuchi, Y Chen, and M Li. "Harnessing optoelectronic noises in a photonic generative network." Science Advances 8, no. 3 (2022).
H Yang, X Yang, NZ Gong, and Y Chen. "HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance." In Proceedings Design Automation Conference, 25-30. 2022.
T Li, N Jing, Z Mao, and Y Chen. "A Hybrid-Grained Remapping Defense Scheme Against Hard Failures for Row-Column-NVM." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 6 (2022): 1842-1854.
N Inkawhich, J Zhang, EK Davis, R Luley, and Y Chen. "Improving Out-of-Distribution Detection by Learning from the Deployment Environment." Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 (2022): 2070-2086.
Y Chen, and S Reda. "ISLPED 2021: The 25th Anniversary!" In Ieee Design & Test, 92-93. Vol. 39. 2022.
F Liu, W Zhao, Z Wang, Y Zhao, T Yang, Y Chen, and L Jiang. "IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems (2022).
X Lin, J Pan, J Xu, Y Chen, and C Zhuo. "Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 166-171. Vol. 2022-January. 2022.
Z Gao, A Li, D Li, J Liu, J Xiong, Y Wang, B Li, and Y Chen. "MOM: Microphone based 3D Orientation Measurement." In Proceedings 21st Acm/Ieee International Conference on Information Processing in Sensor Networks, Ipsn 2022, 132-144. 2022.
C Wu, X Yang, Y Chen, and M Li. "Photonic Bayesian Neural Network using Programmed Optical Noises." Ieee Journal of Selected Topics in Quantum Electronics (2022).
Q Zheng, X Li, Y Guan, Z Wang, Y Cai, Y Chen, G Sun, and R Huang. "PIMulator-NN: an Event-Driven, Cross-level Simulation Framework for Processing-In-Memory based Neural Network Accelerators." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems (2022).
Z Xie, R Liang, X Xu, J Hu, CC Chang, J Pan, and Y Chen. "Preplacement Net Length and Timing Estimation by Customized Graph Neural Network." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 11 (2022): 4667-4680.
J Zhang, Y Chen, and H Li. "Privacy Leakage of Adversarial Training Models in Federated Learning Systems." In Ieee Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 107-113. Vol. 2022-June. 2022.
B Taylor, Q Zheng, Z Li, S Li, and Y Chen. "Processing-in-Memory Technology for Machine Learning: From Basic to ASIC." Ieee Transactions on Circuits and Systems Ii: Express Briefs 69, no. 6 (2022): 2598-2603.
H Fan, B Wang, P Zhou, A Li, Z Xu, C Fu, H Li, and Y Chen. "Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs." In 2021 Ieee 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cl, 933-940. 2022.

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