| 2026 | Timing- and Power-Aware Differentiable Repair of Minimum Implant Area Violations. | Jinoh Cho, Minhyuk Kweon, Jinmo Ahn, Jeyeong Park, Seokhyeong Kang |
| 2026 | A Current Mode Wireless Power Transfer with Deficit Energy Quantifier for Implanted Medical Devices. | Minsik Cho, Minhyeok Jeong, Hyunjun Choi, Mingyu Kim, Shin Han, Yoonmyung Lee |
| 2026 | FUSE-GS: Frequency-Aware Pruning and Scale-Driven Rendering for Energy Efficient 3D Gaussian Splatting. | Hanjun Choi, Hyerin Lim, Joongho Jo, Byeonghun Kwon, Jongsun Park |
| 2026 | BB-CIM: A Back-Bias Tuned Analog Compute In-Memory in 22nm FD-SOI for Improved Power-efficiency. | Saideep Cherukuri, Apurba Prasad Padhy, Narasimha Vasishta Kidambi, Saibal Mukhopadhyay |
| 2026 | SpikON: A Dual-Parallel and Efficient Accelerator for Online Spiking Neural Networks Learning. | Peilin Chen, Xiaoxuan Yang |
| 2026 | PowerFlow-DNN: Compiler-Directed Fine-Grained Power Orchestration for End-to-End Edge AI Inference. | Paul Yi-Chia Chen, Claire Jeongeun Kim, Wenbo Zhu, Yuanhan Li, Shunyao Huang, Chenjie Weng, Christopher Torng |
| 2026 | A Top-Down Design Methodology for Accuracy-to-Noise Mapping in Analog Compute-in-Memory Systems: Evaluation on Mamba. | Isha Chakraborty, Laith A. Shamieh, Wei-Chun Wang, Han Cho, Saibal Mukhopadhyay |
| 2026 | X-CODA: Xbar-Output-Dependent Compensation of In-Memory-Computing Errors for DNN Accuracy Enhancement. | Adrija Chakraborty, Akul Malhotra, Sumeet Kumar Gupta |
| 2026 | Efficient On-Device Estimation of Transcutaneous Oxygen Using Machine Learning for Photoluminescence-Based Wearables. | Gokalp Cevik, Hakan Burak Karli, Vladimir Vakhter, Hohyeon Kim, Farnaz Niroui, Sercan Aygun, Bige Deniz Unluturk, Ulkuhan Guler |
| 2026 | Application-Driven System Technology Co-Optimization for 2.5D Edge AI Platforms. | Anna Burdina, David Mallasn, Alexandre Levisse, Pasquale Davide Schiavone, Giovanni Ansaloni, David Atienza |
| 2026 | Demo Abstract: EC-Sense: Ultra-Low-Power Wireless Soil Moisture Sensing using Energy Harvesting. | Yoganand Biradavolu, Bhuvana Krishnaswamy |
| 2026 | Integrating Symbolic and Neural Mechanisms for Adversarially Robust Hyperdimensional Computing. | Hamza Errahmouni Barkam, Salaar Saraj, Zhen Ye, Xiangjian Liu, Haleh Alimohamadi, Nathaniel D. Bastian, Mohsen Imani |
| 2026 | Dataflow-Preserving, Overhead-Free Weight Remapping for Fault-Tolerant ReRAM-Based In-Memory Computing. | Hyeonsu Bang, Jong Hwan Ko |
| 2026 | Demo Abstract: NETRA - Energy-efficient Navigation at Edge towards Real-time Assistance for Visually Impaired Individuals. | Meenakshi Atkade, Sumit K. Mandal |
| 2026 | Area-Efficient FHE Acceleration via Ciphertext-Level Parallelism and Shared-Key Reuse. | Youngtae Ahn, Jaehyung Kim, Hyungmin Cho |
| 2025 | TEE-SFL: Time and Energy-efficient solution for addressing communication heterogeneity in Split Federated Learning Schemes. | Ziyi Zhao, Qifeng Chen, Jingtao Li, Deliang Fan, Chaitali Chakrabarti |
| 2025 | Cost-efficient Processing-in-Memory Architecture with Training-free and Universal Error Compensation. | Myeongji Yun, Jung Gyu Min, Sein Oh, Jiwoung Choi, Jang-Sik Lee, Minkyu Je, Youngjoo Lee |
| 2025 | GenSoC: A Multi-Agent-Assisted SoC Generation Methodology Leveraging Open-Source Hardware. | Peiran Yan, Qinzhe Zhi, Lifeng Liu, Tianyu Jia |
| 2025 | upGEMV: A Bandwidth-Efficient and Scalable GEMV Accelerator for PIM Systems. | Fan Yang, Shunchen Shi, Pengheng Zhang, Xueqi Li |
| 2025 | A High-Performance Dataflow-Based ORB Extractor Accelerator for SLAM. | Rui Xue, Wenming Li, Haibin Wu, Cheng Guo, Yi Li, Xiaochun Ye, Dongrui Fan |
| 2025 | Enhancing Low-Precision Deep Learning: A Posit8 Framework for Energy Efficient DNN Training. | Dongyang Wu, Mehdi Kamal, Massoud Pedram |
| 2025 | Tutorial: Autonomy with Neuromorphic System. | Amit Ranjan Trivedi, Priyadarshini Panda, Kaushik Roy, Saibal Mukhopadhyay |
| 2025 | J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor. | Benot Tain, Raphael Millet, Romain Lemaire, Michal Szczepanski, Laurent Alacoque, Emmanuel Pluchart, Sylvain Choisnet, Rohit Prasad, Jrme Chossat, Pascal Pierunek, Pascal Vivet, Sbastien Thuries |
| 2025 | Always-On Sensing in Energy-Harvested Systems via Stochastic Intermittent Computing. | Sepehr Tabrizchi, Mehran Moghadam, Ali Shafiee Sarvestani, Sercan Aygun, M. Hassan Najafi, Arman Roohi |
| 2025 | DIRC-RAG: Accelerating Edge RAG with Robust High-Density and High-Loading-Bandwidth Digital In-ReRAM Computation. | Kunming Shao, Zhipeng Liao, Jiangnan Yu, Liang Zhao, Qiwei Li, Xijie Huang, Jingyu He, Fengshi Tian, Yi Zou, Xiaomeng Wang, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui |