Publications

Found 650 results
Type [ Year(Asc)]
2023
Z Xie, J Pan, CC Chang, J Hu, and Y Chen. "The Dark Side: Security and Reliability Concerns in Machine Learning for EDA." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 42, no. 4 (2023): 1171-1184.
E Hanson, M Horton, HH Li, and Y Chen. "DefT: Boosting Scalability of Deformable Convolution Operations on GPUs." In International Conference on Architectural Support for Programming Languages and Operating Systems Asplos, 134-146. Vol. 3. 2023.
B Lyu, S Wen, Y Yang, X Chang, J Sun, Y Chen, and T Huang. "Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks." Ieee Transactions on Neural Networks and Learning Systems PP (2023).
M Pang, B Wang, M Ye, Y-M Cheung, Y Chen, and B Wen. "DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person." Ieee Transactions on Neural Networks and Learning Systems 34, no. 2 (2023): 867-881.
CH Tung, BK Joardar, PP Pande,, HH Li, and K Chakrabarty. "Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars." In Proceedings Design, Automation and Test in Europe, Date. Vol. 2023-April. 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.
H Xiao, X Hu, T Gao, Y Zhou, S Duan, and Y Chen. "Efficient Low-Bit Neural Network With Memristor-Based Reconfigurable Circuits." Ieee Transactions on Circuits and Systems Ii: Express Briefs (2023).
X Yang, H Yang,, PP Pande, K Chakrabartys, 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 42, no. 7 (2023): 2187-2199.
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.
B Taylor, and H Li. A Hardware and Software Co-design Framework for Energy Efficient Neuromorphic Systems., 2023.
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.
L Zhang, Y Chen, A Li, B Wang, F Li, J Cao, and B Niu. "Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation." In Proceedings 2023 Ieee Winter Conference on Applications of Computer Vision, Wacv 2023, 4690-4698. 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.
B Gopal, A Sridhar, T Zhang, and Y Chen. "LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search." In Ijcai International Joint Conference on Artificial Intelligence, 773-781. Vol. 2023-August. 2023.
J Zhang, N Inkawhich, R Linderman, Y Chen, and H Li. "Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments." In Proceedings 2023 Ieee Winter Conference on Applications of Computer Vision, Wacv 2023, 5520-5529. 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.
T Zhang, D Cheng, Y He, Z Chen, X Dai, L Xiong, F Yan, H Li, Y Chen, and W Wen. "NASRec: Weight Sharing Neural Architecture Search for Recommender Systems." In Acm Web Conference 2023 Proceedings of the World Wide Web Conference, Www 2023, 1199-1207. 2023.
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).
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 11, no. 2 (2023): 303-317.
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.
Y Wang, S Li, Q Zheng, A Chang, H Li, and Y Chen. "EMS-i : An Efficient Memory System Design with Specialized Caching Mechanism for Recommendation Inference." Acm Transactions on Embedded Computing Systems 22, no. 5s (2023): 1-22.
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 70, no. 6 (2023): 1876-1880.
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.

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