| 2025 | ToMamba: Towards Token-Efficient Mamba Architecture on FPGA. | Kejia Shi, Yue Cao, Yuhang Du, Jianli Chen, Jun Yu, Kun Wang |
| 2025 | Gotta Hash 'Em All! Accelerating Hash Functions for Zero-Knowledge Proof Applications. | Nojan Sheybani, Tengkai Gong, Anees Ahmed, Nges Brian Njungle, Michel A. Kinsy, Farinaz Koushanfar |
| 2025 | BMCFuzz: Hybrid Verification of Processors by Synergistic Integration of Bound Model Checking and Fuzzing. | Shidong Shen, Jinyu Liu, Weizhi Feng, Fu Song, Zhilin Wu |
| 2025 | Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits. | Shan Shen, Shenglu Hua, Jiajun Zou, Jiawei Liu, Jianwang Zhai, Chuan Shi, Wenjian Yu |
| 2025 | Squat: Quant Small Language Models on the Edge. | Xuan Shen, Peiyan Dong, Zhenglun Kong, Yifan Gong, Changdi Yang, Zhaoyang Han, Yanyue Xie, Lei Lu, Cheng Lyu, Chao Wu, Yanzhi Wang, Pu Zhao |
| 2025 | Invited Paper: Feature-to-Classifier Co-Design for Mixed-Signal Smart Flexible Wearables for Healthcare at the Extreme Edge. | Maha Shatta, Konstantinos Balaskas, Paula Carolina Lozano Duarte, Georgios Panagopoulos, Mehdi B. Tahoori, Georgios Zervakis |
| 2025 | FlexTEE: Dynamically Enhancing Metadata Locality Through Affine Address Transformation for Heterogeneous & Secure AI Platforms. | Rakin Muhammad Shadab, Sanjay Gandham, Mingjie Lin |
| 2025 | Design of Machine Learning Accelerators as RISC-V Extensions using an Open Source Tool Flow. | Batuhan Sesli, Muhammad Sabih, Frank Hannig, Jrgen Teich |
| 2025 | Target Circuit Matching in Large-Scale Netlists Using GNN-Based Region Prediction. | Sangwoo Seo, Jimin Seo, Yoonho Lee, Donghyeon Kim, Hyejin Shin, Banghyun Sung, Chanyoung Park |
| 2025 | Enhancing Timing Closure via Spatially Embedded Graph Transformer with Low Power/Area Overhead. | Joonyoung Seo, Jonghyeon Nam, Howoo Jang, Yoonseok Jung, Seokhyeong Kang |
| 2025 | QQ: Is 2-bit Enough? Exploiting Quantization to Enhance Computation and Memory Efficiency in Quantum Simulation. | Hyoju Seo, Seokhyeon Lee, Yongtae Kim |
| 2025 | Invited Paper: End-to-end RFIC Topology Synthesis and Design combining Reinforcement learning and Inverse Design. | Kaushik Sengupta, Jonathan Zhou, Emir Ali Karahan, Juho Park |
| 2025 | Continuous On-Chip Learning in Neural Networks using SOT-MRAM based CIM Architectures. | Anubha Sehgal, Sandeep Soni, Sumit Diware, Alok Kumar Shukla, Sourajeet Roy, Rajendra Bishnoi |
| 2025 | Invited Paper: Rapid Performance Evaluation and Optimized AI Inference for Heterogeneous Automotive Chiplets. | Christoph Schorn, Axel Sauer, Marius Fischer, Ingo Feldner, Thomas Schamm, Falk Rehm |
| 2025 | The Fellowship of the Leak: Power Analysis of a Masked FrodoKEM Hardware Accelerator. | Martin Schmid, Giuseppe Manzoni, Aydin Aysu, Elif Bilge Kavun |
| 2025 | Uncertainty-Guided Live Measurement Sequencing for Fast SAR ADC Linearity Testing. | Thorben Schey, Khaled Karoonlatifi, Michael Weyrich, Andrey Morozov |
| 2025 | TREX-F: TRustability of Electronics using X-ray based Fingerprinting. | Tishya Sarma Sarkar, Shuvodip Maitra, Abhishek Chakraborty, Sarani Bhattacharya, Debdeep Mukhopadhyay |
| 2025 | PROFUZZ: Directed Graybox Fuzzing via Module Selection and ATPG-Guided Seed Generation. | Raghul Saravanan, Sudipta Paria, Aritra Dasgupta, Swarup Bhunia, Sai Manoj P. D. |
| 2025 | Leaks beyond Bits: Deep Learning-Assisted Side-Channel Attacks on Hyperdimensional Computing Accelerators. | Brojogopal Sapui, Mehdi B. Tahoori |
| 2025 | BAGNet: A Boundary-Aware Graph Neural Network for SRAM Yield Analysis in Post-LayoutSimulation. | Haoyang Sang, Changhao Yan, Zhaori Bi, Keren Zhu, Xuan Zeng |
| 2025 | HyperEF 2.0: Spectral Hypergraph Coarsening via Krylov Subspace Expansion and Resistance-Based Local Clustering. | Hamed Sajadinia, Zhuo Feng |
| 2025 | QuickFlow: An Efficient Local Search Method to Map Convolutions on Spatial Architectures. | Marco Ronzani, Cristina Silvano |
| 2025 | Automatic Microarchitecture-Aware Custom Instruction Design for RISC-V Processors. | Evgenii Rezunov, Niko Zurstraen, Lennart M. Reimann, Rainer Leupers |
| 2025 | BARQ: Boundary-Aware Regularized Training for Accurate Inference on Computing-in-Memory Accelerators with Low-Precision A/D Conversion. | Tingrui Ren, Bi Wang, Liang Wang, Yuanfu Zhao |
| 2025 | CIMTester: An Agile Golden-Result-Free BIST Compiler for Robust Compute-In-Memory. | Wenjie Ren, Meng Wu, Mingxuan Li, Peiyu Chen, Tianyu Jia, Le Ye |