Publications

Molom-Ochir, T., B. Taylor, H. Li, and Y. Chen. “Advancements in Content-Addressable Memory (CAM) Circuits: State-of-the-Art, Applications, and Future Directions in the AI Domain.” IEEE Transactions on Circuits and Systems I: Regular Papers, January 1, 2025. https://doi.org/10.1109/TCSI.2025.3527309.

Chen, H., Y. Wang, V. Cargnini, M. Soltaniyeh, D. Li, G. Sun, P. Subedi, A. Chang, Y. Chen, and C. Hao. “ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model.” In Proceedings - Design Automation Conference, 2024. https://doi.org/10.1145/3649329.3656239.

Zhang, F., A. Sridharan, W. Tsai, Y. Chen, S. X. Wang, and D. Fan. “Efficient Memory Integration: MRAM-SRAM Hybrid Accelerator for Sparse On-Device Learning.” In Proceedings - Design Automation Conference, 2024. https://doi.org/10.1145/3649329.3657390.

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.

Ku, J. H. C., J. Zhang, H. Shan, S. Samudrala, J. Wu, Q. Zheng, Z. Li, J. Rajendran, and Y. Chen. “ModSRAM: Algorithm-Hardware Co-Design for Large Number Modular Multiplication in SRAM.” In Proceedings - Design Automation Conference, 2024. https://doi.org/10.1145/3649329.3656496.

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.

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.

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, 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.

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.

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.

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.

Yang, H. F., Y. Zhao, J. Cai, M. Zhu, J. N. Hwang, and Y. Chen. “Mitigating Bias of Deep Neural Networks for Trustworthy Traffic Perception in Autonomous Systems.” In IEEE Intelligent Vehicles Symposium, Proceedings, 633–38, 2024. https://doi.org/10.1109/IV55156.2024.10588805.

Gu, J., S. Vahidian, V. Kungurtsev, H. Wang, W. Jiang, Y. You, and Y. Chen. “Efficient Dataset Distillation via Minimax Diffusion.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 15793–803, 2024. https://doi.org/10.1109/CVPR52733.2024.01495.

Huang, Q., H. Yang, E. Zeng, and Y. Chen. “A Deep-Learning-Based Multi-modal ECG and PCG Processing Framework for Label Efficient Heart Sound Segmentation.” In Proceedings - 2024 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2024, 109–19, 2024. https://doi.org/10.1109/CHASE60773.2024.00020.

Yu, F., Z. Xu, L. Shangguan, D. Wang, D. Stamoulis, R. Madhok, N. Karianakis, et al. “Rethinking Latency-Aware DNN Design With GPU Tail Effect Analysis.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, January 1, 2024. https://doi.org/10.1109/TCAD.2024.3404413.

Tang, M., A. Dai, L. DiValentin, A. Ding, A. Hass, N. Z. Gong, Y. Chen, and H. Li. “MODELGUARD: Information-Theoretic Defense Against Model Extraction Attacks.” In Proceedings of the 33rd USENIX Security Symposium, 5305–22, 2024.