Publications

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.

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.

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.

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.

Samudrala, S., J. Wu, C. Chen, H. Shan, J. Ku, Y. Chen, and J. Rajendran. “Performance Analysis of Zero-Knowledge Proofs.” In Proceedings 2024 IEEE International Symposium on Workload Characterization Iiswc 2024, 144–55, 2024. https://doi.org/10.1109/IISWC63097.2024.00022.

Wang, A., Q. Huang, and Y. Chen. “A Quantized Parsimonious CNN Model for Sleep Polysomnogram Data Streams.” In Proceedings 2024 IEEE ACM Conference on Connected Health Applications Systems and Engineering Technologies Chase 2024, 162–66, 2024. https://doi.org/10.1109/CHASE60773.2024.00027.

Duan, L., J. Sun, J. Jia, Y. Chen, and M. Gorlatova. “Reimagining Mutual Information for Defense against Data Leakage in Collaborative Inference.” In Advances in Neural Information Processing Systems, Vol. 37, 2024.

Inkawhich, M., N. Inkawhich, H. Yang, J. Zhang, R. Linderman, and Y. Chen. “OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery.” In Proceedings 2024 IEEE International Conference on Big Data Bigdata 2024, 928–37, 2024. https://doi.org/10.1109/BigData62323.2024.10826036.

Tang, M., J. Sun, H. H. Li, and Y. Chen. “Embracing Privacy, Robustness, and Efficiency with Trustworthy Federated Learning on Edge Devices.” In Proceedings of IEEE Computer Society Annual Symposium on VLSI Isvlsi, 284–89, 2024. https://doi.org/10.1109/ISVLSI61997.2024.00059.

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.

Wang, Y., S. Li, Q. Zheng, L. Song, Z. Li, A. Chang, H. L. H. Li, and Y. Chen. “NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing.” In Proceedings International Symposium on Computer Architecture, 368–81, 2024. https://doi.org/10.1109/ISCA59077.2024.00035.

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 43, no. 12 (January 1, 2024): 4558–71. https://doi.org/10.1109/TCAD.2024.3409193.