Publications

2024

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, Bokyung, Hai Li, and Yiran Chen. “Processing-in-Memory Designs Based on Emerging Technology for Efficient Machine Learning Acceleration.” In Proceedings of the Great Lakes Symposium on VLSI 2024. ACM, 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.

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, 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.

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.

Parhi, K. K., H. Li, K. Kailas, H. Krishnaswamy, M. Alioto, and M. Ogorzalek. “Editorial: Special Issue for the 75th Anniversary of the IEEE Circuits and Systems Society [Editorial].” IEEE Circuits and Systems Magazine 24, no. 2 (January 1, 2024): 3. https://doi.org/10.1109/MCAS.2024.3384522.

Wu, X., E. Hanson, N. Wang, Q. Zheng, X. Yang, H. Yang, S. Li, et al. “Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, January 1, 2024. https://doi.org/10.1109/TCAD.2024.3409193.

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.

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.

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.

2023

Zhao, W., H. H. Li, and D. Zito. “Outgoing Editorial.” IEEE Transactions on Circuits and Systems I: Regular Papers 70, no. 12 (December 1, 2023): 4675–77. https://doi.org/10.1109/TCSI.2023.3337596.

Kim, B., and H. Li. “Monolithic 3D stacking for neural network acceleration.” Nature Electronics 6, no. 12 (December 1, 2023): 937–38. https://doi.org/10.1038/s41928-023-01098-5.

Li, H. H. “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 (December 1, 2023): 4678–4678. https://doi.org/10.1109/TCSI.2023.3331873.

Hanson, E., S. Li, G. Zhou, F. Cheng, Y. Wang, R. Bose, H. H. Li, and Y. Chen. “Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI.” In Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2023, 972–85, 2023. https://doi.org/10.1145/3613424.3614278.

Gao, Z., Y. Chen, and T. Chen. “Swirls: Sniffing Wi-Fi Using Radios with Low Sampling Rates.” In Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 260–69, 2023. https://doi.org/10.1145/3565287.3610279.

Wang, Y., 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 (September 9, 2023). https://doi.org/10.1145/3609384.

Li, Hai, and Brady Taylor. “A Hardware and Software Co-design Framework for Energy Efficient Neuromorphic Systems.” Office of Scientific and Technical Information (OSTI), July 5, 2023. https://doi.org/10.2172/1985762.

Yang, X., H. Yang, J. R. Doppa, P. P. 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 (July 1, 2023): 2187–99. https://doi.org/10.1109/TCAD.2022.3216546.

Li, Z., 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 (June 1, 2023): 1876–80. https://doi.org/10.1109/TCSII.2023.3235888.

Zhang, T., 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. https://doi.org/10.1145/3543507.3583446.