Publications

Found 625 results
Type [ Year(Asc)]
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.
Z Li, Q Zheng, Y Chen, and H Li. "SpikeSen: Low-latency In-sensor-intelligence Design with Neuromorphic Spiking Neurons." Ieee Transactions on Circuits and Systems Ii: Express Briefs (2023): 1.
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.
X Chen, D Li, Y Chen, and J Xiong. "Boosting the sensing granularity of acoustic signals by exploiting hardware non-linearity." In Hotnets 2022 Proceedings of the 2022 21st Acm Workshop on Hot Topics in Networks, 53-59. 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.
Z Xie, S Li, M Ma, CC Chang, J Pan, Y Chen, and J Hu. "DEEP: Developing extremely efficient runtime on-chip power meters." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. 2022.
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.
J Sun, A Li, L Duan, S Alam, X Deng, X Guo, H Wang, M Gorlatova, M Zhang, H Li et al. "FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices." In Sensys 2022 Proceedings of the 20th Acm Conference on Embedded Networked Sensor Systems, 106-119. 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. "Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems - ISICAS 2022." Ieee Transactions on Circuits and Systems I: Regular Papers 69, no. 12 (2022): 4730.
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).

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