Publications

Zheng, Q., Z. Li, J. Ku, Y. Wang, B. Taylor, D. Fan, and Y. Chen. “Improving the Efficiency of In-Memory-Computing Macro with a Hybrid Analog-Digital Computing Mode for Lossless Neural Network Inference.” In Proceedings Design Automation Conference, 2024. https://doi.org/10.1145/3649329.3658472.

Roman-Vicharra, C., Y. Chen, and J. Hu. “Flip-Flop Centric Incremental Placement for Simultaneous Timing and Clock Network Power Optimization.” In Mlcad 2024 Proceedings of the 2024 ACM IEEE International Symposium on Machine Learning for CAD, 2024. https://doi.org/10.1145/3670474.3685949.

Li, Ziru, Qilin Zheng, Jonathan Ku, Brady Taylor, and Hai Li. “TFSRAM: A 249.8TOPS/W Timing-to-First-Spike Compute-in-Memory Neuromorphic Processing Engine With Twin-Column SRAM Synapses.” IEEE Transactions on Circuits and Systems for Artificial Intelligence 1, no. 1 (September 2024): 26–36. https://doi.org/10.1109/tcasai.2024.3452649.

Lyu, Bo, Shiping Wen, Yin Yang, Xiaojun Chang, Junwei Sun, Yiran Chen, and Tingwen Huang. “Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks.” IEEE Transactions on Neural Networks and Learning Systems 35, no. 9 (September 2024): 11979–88. https://doi.org/10.1109/tnnls.2023.3250437.

Lyu, Bo, Yin Yang, Yuting Cao, Tuo Shi, Yiran Chen, Tingwen Huang, and Shiping Wen. “A memristive all-inclusive hypernetwork for parallel analog deployment of full search space architectures.” Neural Networks : The Official Journal of the International Neural Network Society 175 (July 2024): 106312. https://doi.org/10.1016/j.neunet.2024.106312.

Kim, B., H. Li, and Y. Chen. “Processing-in-Memory Designs Based on Emerging Technology for Efficient Machine Learning Acceleration.” In Proceedings of the ACM Great Lakes Symposium on VLSI Glsvlsi, 614–19, 2024. https://doi.org/10.1145/3649476.3660367.

Krestinskaya, Olga, Mohammed E. Fouda, Hadjer Benmeziane, Kaoutar El Maghraoui, Abu Sebastian, Wei D. Lu, Mario Lanza, et al. “Neural architecture search for in-memory computing-based deep learning accelerators.” Nature Reviews Electrical Engineering 1, no. 6 (May 20, 2024): 374–90. https://doi.org/10.1038/s44287-024-00052-7.

Xu, L., Y. Chen, Y. Wang, N. Liao, J. He, and D. Wang. “Recognition of Skin Cancer from Dermoscopic Images via DNN.” In ACM International Conference Proceeding Series, 412–19, 2024. https://doi.org/10.1145/3665348.3665418.

Pan, J., 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 43, no. 5 (May 1, 2024): 1484–96. https://doi.org/10.1109/TCAD.2023.3332841.

Li, S., Y. Wang, E. Hanson, A. Chang, Y. Seok Ki, H. Li, and Y. Chen. “NDRec: A Near-Data Processing System for Training Large-Scale Recommendation Models.” IEEE Transactions on Computers 73, no. 5 (May 1, 2024): 1248–61. https://doi.org/10.1109/TC.2024.3365939.

Wang, D., Y. Wang, F. Yang, L. Xu, Y. Zhang, Y. Chen, and N. Liao. “A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing.” Machine Intelligence Research 21, no. 2 (April 1, 2024): 400–410. https://doi.org/10.1007/s11633-022-1401-9.

Wang, B., M. Lin, T. Zhou, P. Zhou, A. Li, M. Pang, H. Li, and Y. Chen. “Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function.” In Wsdm 2024 Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 693–701, 2024. https://doi.org/10.1145/3616855.3635826.

Chang, C. C., J. Pan, Z. Xie, T. Zhang, J. Hu, and Y. Chen. “Toward Fully Automated Machine Learning for Routability Estimator Development.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 43, no. 3 (March 1, 2024): 970–82. https://doi.org/10.1109/TCAD.2023.3330818.

Chen, Y., S. Banerjee, S. Daily, J. Krolik, H. Li, D. Limbrick, M. Pajic, R. Runton, and L. Zhong. “Athena – The NSF AI Institute for Edge Computing.” AI Magazine 45, no. 1 (March 1, 2024): 15–21. https://doi.org/10.1002/aaai.12147.

Yang, X., Z. Wang, X. S. Hu, C. H. Kim, S. Yu, M. Pajic, R. Manohar, Y. Chen, and H. H. Li. “Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design.” IEEE Transactions on Circuits and Systems II Express Briefs 71, no. 3 (March 1, 2024): 1683–89. https://doi.org/10.1109/TCSII.2023.3336251.

Inkawhich, M., N. Inkawhich, H. Li, and Y. Chen. “Tunable Hybrid Proposal Networks for the Open World.” In Proceedings 2024 IEEE Winter Conference on Applications of Computer Vision Wacv 2024, 1977–88, 2024. https://doi.org/10.1109/WACV57701.2024.00199.

Zhang, T., S. Li, H. P. Cheng, F. Yan, H. Li, and Y. Chen. “CSCO: Connectivity Search of Convolutional Operators.” In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 1685–94, 2024. https://doi.org/10.1109/CVPRW63382.2024.00175.

Taylor, B., X. Yang, and H. Li. “Weight Update Scheme for 1T1R Memristor Array Based Equilibrium Propagation.” In 2024 IEEE 6th International Conference on AI Circuits and Systems Aicas 2024 Proceedings, 388–92, 2024. https://doi.org/10.1109/AICAS59952.2024.10595934.

Zheng, Q., S. Li, Y. Wang, Z. Li, Y. Chen, and H. L. Li. “Hybrid Digital/Analog Memristor-based Computing Architecture for Sparse Deep Learning Acceleration.” In Proceedings IEEE International Symposium on Circuits and Systems, 2024. https://doi.org/10.1109/ISCAS58744.2024.10558703.

De, V., and H. Li. “Recap of the 61st ACM/IEEE Design Automation Conference (DAC61): The 'Chips to Systems Conference'.” IEEE Design and Test 41, no. 6 (January 1, 2024): 95–96. https://doi.org/10.1109/MDAT.2024.3444729.

Xiao, H., 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 (January 1, 2024): 66–70. https://doi.org/10.1109/TCSII.2023.3298910.

Ramos, N., and H. Li. “CNN Implementation of Bayesian Plasticity for Robust Learning.” In 2024 IEEE 6th International Conference on AI Circuits and Systems Aicas 2024 Proceedings, 432–36, 2024. https://doi.org/10.1109/AICAS59952.2024.10595888.

Jiang, J., H. Lu, C. Liu, M. Zhu, Y. Chen, and H. F. Yang. “Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI.” In IEEE Intelligent Vehicles Symposium Proceedings, 645–50, 2024. https://doi.org/10.1109/IV55156.2024.10588634.

Chang, C. C., Y. Shen, S. Fan, J. Li, S. Zhang, N. Cao, Y. Chen, and X. Zhang. “LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits.” In Proceedings of Machine Learning Research, 235:6253–62, 2024.

Zhang, J., D. C. Juan, C. Rashtchian, C. S. Ferng, H. Jiang, and Y. Chen. “SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models.” In Advances in Neural Information Processing Systems, Vol. 37, 2024.