Publications

Found 626 results
Type [ Year(Desc)]
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 41, no. 12 (2022): 5464-5475.
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.
BK Joardar,, H Li, K Chakrabarty, and PP Pande. "ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs." Ieee Transactions on Emerging Topics in Computing (2022): 1-14.
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.
X Yang, B Taylor, A Wu, Y Chen, and LO Chua. "Research Progress on Memristor: From Synapses to Computing Systems." Ieee Transactions on Circuits and Systems I: Regular Papers 69, no. 5 (2022): 1845-1857.
Z Du, J Sun, A Li, PY Chen, J Zhang, H Li, and Y Chen. "Rethinking normalization methods in federated learning." In Distributedml 2022 Proceedings of the 3rd International Workshop on Distributed Machine Learning, Part of Conext 2022, 16-22. 2022.
J Pan, CC Chang, Z Xie, J Hu, and Y Chen. "Robustify ML-based lithography hotspot detectors." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. 2022.
B Li, H Lv, Y Wang, and Y Chen. "Security Threat to the Robustness of RRAM-based Neuromorphic Computing System." In Proceedings 2022 Ieee International Symposium on Smart Electronic Systems, Ises 2022, 267-271. 2022.
Y Chen, and HH Li. SMALE: Enhancing Scalability of Machine Learning Algorithms on Extreme-Scale Computing Platforms., 2022.
C Wang, D Feng, W Tong, J Liu, B Wu, and Y Chen. "Space-Time-Efficient Modeling of Large-Scale 3-D Cross-Point Memory Arrays by Operation Adaption and Network Compaction." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 10 (2022): 3479-3491.
Y Chen, and Y Wang. "A survey of architectures of neural network accelerators." Scientia Sinica Informationis 52, no. 4 (2022): 596-611.
J Mao, Q Yang, A Li, KW Nixon, H Li, and Y Chen. "Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks." Acm Transactions on Embedded Computing Systems 21, no. 3 (2022).
J Pan, CC Chang, Z Xie, A Li, M Tang, T Zhang, J Hu, and Y Chen. "Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data." In Proceedings Design Automation Conference, 961-966. 2022.
M Inkawhich, N Inkawhich, E Davis, H Li, and Y Chen. "The Untapped Potential of Off-the-Shelf Convolutional Neural Networks." In Proceedings 2022 Ieee/Cvf Winter Conference on Applications of Computer Vision, Wacv 2022, 2907-2916. 2022.
2023
E Hanson, S Li, X Qian, HH Li, and Y Chen. "DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs." Ieee Transactions on Computers 72, no. 3 (2023): 880-892.
CC Chang, J Pan, Z Xie, Y Li, Y Lin, J Hu, and Y Chen. "Fully Automated Machine Learning Model Development for Analog Placement Quality Prediction." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 58-63. 2023.
S Hu, Y Chen, Q Zhu, and AW Colombo. "Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems." Ieee Transactions on Automation Science and Engineering 20, no. 1 (2023): 3-4.
X Yang, S Li, Q Zheng, and Y Chen. "Improving the Robustness and Efficiency of PIM-Based Architecture by SW/HW Co-Design." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 618-623. 2023.
C Augustine, and H Li. "ISLPED 2022: An Experience of a Hybrid Conference in the Time of COVID-19." Ieee Design & Test 40, no. 1 (2023): 105-107.
T Zhang, M Ma, F Yan, H Li, and Y Chen. ": Joint Point Interaction-Dimension Search for 3D Point Cloud." In Proceedings 2023 Ieee Winter Conference on Applications of Computer Vision, Wacv 2023, 1298-1307. 2023.
HH Li. "MWSCAS Guest Editorial Special Issue Based on the 64th International Midwest Symposium on Circuits and Systems." Ieee Transactions on Circuits and Systems I: Regular Papers 70, no. 1 (2023): 1-2.
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 29, no. 2 (2023).
CC Chang, J Pan, Z Xie, J Hu, and Y Chen. "Rethink before Releasing Your Model: ML Model Extraction Attack in EDA." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 252-257. 2023.

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