Publications

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.

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.

Zhang, J., S. Vahidian, M. Kuo, C. Li, R. Zhang, T. Yu, G. Wang, and Y. Chen. “TOWARDS BUILDING THE FEDERATEDGPT: FEDERATED INSTRUCTION TUNING.” In ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 6915–19, 2024. https://doi.org/10.1109/ICASSP48485.2024.10447454.

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.

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.