Publications

Found 673 results
Type [ Year(Asc)]
2024
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 71, no. 1 (2024): 66-70.
2023
Y Chen. "2023: The Golden Age of Semiconductors." Ieee Circuits and Systems Magazine 23, no. 1 (2023).
Q Zheng, S Li, Y Wang, Z Li, Y Chen, and HH Li. "Accelerating Sparse Attention with a Reconfigurable Non-volatile Processing-In-Memory Architecture." In Proceedings Design Automation Conference. Vol. 2023-July. 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.
P Sengupta, A Tyagi, Y Chen, and J Hu. "Early Identification of Timing Critical RTL Components using ML based Path Delay Prediction." In 2023 ACM/IEEE 5th Workshop on Machine Learning for CAD, MLCAD 2023. 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. 5 s (2023): 1-22.
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.
J Zhang, A Li, M Tang, J Sun, X Chen, F Zhang, C Chen, Y Chen, and H Li. "Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction." In Proceedings of Machine Learning Research, 41354-41381. Vol. 202. 2023.
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.
HH Li. "Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems'ISICAS 2023." Ieee Transactions on Circuits and Systems I: Regular Papers 70, no. 12 (2023): 4678.
H Li, and B Taylor. 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.
B Kim, S Li, and H Li. "INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators." In Proceedings International Symposium on High Performance Computer Architecture, 29-41. Vol. 2023-February. 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.
B Kim, Z Du, J Sun, and Y Chen. "Invited Paper: Towards the Efficiency, Heterogeneity, and Robustness of Edge AI." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. 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 Pan, X Lin, J Xu, Y Chen, and C Zhuo. "Lithography Hotspot Detection Based on Heterogeneous Federated Learning with Local Adaptation and Feature Selection." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems (2023).

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