Publications

Zhang, J., H. Yang, A. Li, X. Guo, P. Wang, H. Wang, Y. Chen, and H. Li. “MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning.” In Proceedings 2025 IEEE Winter Conference on Applications of Computer Vision Wacv 2025, 4066–76, 2025. https://doi.org/10.1109/WACV61041.2025.00400.

Molom-Ochir, T., B. Taylor, H. H. Li, and Y. Chen. “MonoSparse-CAM: Efficient Tree Model Processing via Monotonicity and Sparsity in CAMs.” In Proceedings IEEE International Symposium on Circuits and Systems, 2025. https://doi.org/10.1109/ISCAS56072.2025.11043997.

Gopal, B., H. Yang, J. Zhang, M. Horton, and Y. Chen. “Boosting Adversarial Robustness with CLAT: Criticality-Leveraged Adversarial Training.” In Proceedings of Machine Learning Research, 267:20142–61, 2025.

Jia, Y., S. Vahidian, J. Sun, J. Zhang, V. Kungurtsev, N. Z. Gong, and Y. Chen. “Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents.” In Lecture Notes in Computer Science, 15136 LNCS:18–33, 2025. https://doi.org/10.1007/978-3-031-73229-4_2.

Alorf, A., B. Taylor, and Y. Chen. “Effect of Capacitor Mismatch Nonlinearity on Inference Accuracy in Analog Compute-in-Memory Architectures.” In Proceedings IEEE International Symposium on Circuits and Systems, 2025. https://doi.org/10.1109/ISCAS56072.2025.11043903.

Wang, Q., H. Ye, M. Y. Chung, Y. Liu, Y. Lin, M. Kuo, M. Ma, J. Zhang, and Y. Chen. “CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models.” In Proceedings of Machine Learning Research, 267:65236–52, 2025.

Kim, B., H. H. Li, and Y. Chen. “Emerging Computing Mechanisms for Edge AI.” IEEE Nanotechnology Magazine 19, no. 2 (January 1, 2025): 25–37. https://doi.org/10.1109/MNANO.2025.3533804.

Zhang, J., Y. Zhou, J. Gu, C. Wigington, T. Yu, Y. Chen, T. Sun, and R. Zhang. “ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models.” In Proceedings 2025 IEEE Winter Conference on Applications of Computer Vision Wacv 2025, 1268–78, 2025. https://doi.org/10.1109/WACV61041.2025.00131.

Chen, Y., C. Guo, Y. He, M. Ma, T. Molom-Ochir, N. Ramos, H. Shan, C. Wei, and H. Li. “Circuits to Systems: Codesigning Efficient AI Hardware.” IEEE Design and Test 42, no. 6 (January 1, 2025): 54–62. https://doi.org/10.1109/MDAT.2025.3600328.

Sridhar, A., and Y. Chen. “Delta-NAS: Difference of Architecture Encoding for Predictor-Based Evolutionary Neural Architecture Search.” In Proceedings 2025 IEEE Winter Conference on Applications of Computer Vision Wacv 2025, 7857–65, 2025. https://doi.org/10.1109/WACV61041.2025.00763.

Zhang, J., G. Zhou, F. Cheng, J. Ku, Q. Ding, J. Gu, H. Wang, H. H. Li, and Y. Chen. “QGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers.” In Proceedings Design Automation and Test in Europe Date, 2025. https://doi.org/10.23919/DATE64628.2025.10993236.

Lin, Y., Y. Fu, J. Zhang, Y. Liu, J. Sun, H. H. Li, and Y. Chen. “SpeechPrune: Context-Aware Token Pruning for Speech Information Retrieval.” In Proceedings IEEE International Conference on Multimedia and Expo, 2025. https://doi.org/10.1109/ICME59968.2025.11209113.

Li, Y., J. Sun, Y. Liu, Y. Zhang, A. Li, B. Chen, H. R. Roth, D. Xu, T. Chen, and Y. Chen. “Federated Black-box Prompt Tuning System for Large Language Models on the Edge.” In ACM Mobicom 2024 Proceedings of the 30th International Conference on Mobile Computing and Networking, 1775–77, 2024. https://doi.org/10.1145/3636534.3698856.

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.

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, 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.

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.

Zhang, Xuzhe, Yuhao Wu, Elsa Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O’Connor, et al. “MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling.” Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2024 (June 2024): 5851–62. https://doi.org/10.1109/cvpr52733.2024.00559.

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.