Publications

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.

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.

Kim, B., Q. Huang, B. Taylor, Q. Zheng, J. Ku, N. Ramos, E. Yeats, Y. Chen, and H. R. Li. “MulPi: A Multi-Class and Patient-Independent Computing-in-SRAM Seizure Classifier.” In 2024 IEEE Biomedical Circuits and Systems Conference Biocas 2024, 2024. https://doi.org/10.1109/BioCAS61083.2024.10798153.

Sun, J., Z. Xu, H. Yin, D. Yang, D. Xu, Y. Liu, Z. Du, Y. Chen, and H. R. Roth. “FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models.” In Proceedings of Machine Learning Research, 235:47159–73, 2024.

Chen, F., and Y. Chen. “An Interview with Dr. Nicky Lu [Interview].” IEEE Circuits and Systems Magazine 24, no. 1 (January 1, 2024): 6–12. https://doi.org/10.1109/MCAS.2023.3332200.

Ibrahim, M., Z. Wan, H. Li, P. Panda, T. Krishna, P. Kanerva, Y. Chen, and A. Raychowdhury. “Special Session: Neuro-Symbolic Architecture Meets Large Language Models: A Memory-Centric Perspective.” In Proceedings 2024 International Conference on Hardware Software Codesign and System Synthesis Codes Isss 2024, 11–20, 2024. https://doi.org/10.1109/CODES-ISSS60120.2024.00012.

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.

Zhang, T., W. Wen, I. Fedorov, X. Liu, B. Zhang, F. Han, W. Y. Chen, et al. “DistDNAS: Search Efficient Feature Interactions within 2 Hours.” In Proceedings 2024 IEEE International Conference on Big Data Bigdata 2024, 1492–99, 2024. https://doi.org/10.1109/BigData62323.2024.10825061.