| 2025 | An Input-Aware Sparse Tensor Compiler Empowered by Vectorized Acceleration. | Xianhao He, Haotian Wang, Jiapeng Zhang, Wangdong Yang, Anthony Theodore Chronopoulos, Kenli Li |
| 2025 | Joint Cutting for Hybrid Schrdinger-Feynman Simulation of Quantum Circuits. | Laura S. Herzog, Lukas Burgholzer, Christian Ufrecht, Daniel D. Scherer, Robert Wille |
| 2025 | Cost-Distance Steiner Trees for Timing-Constrained Global Routing. | Stephan Held, Edgar Perner |
| 2025 | DANN: Diffractive Acoustic Neural Network for in-sensor computing system target at multi-biomarker diagnosis. | Lewei He, Ning Lin, Binbin Cui, Xinran Zhang, Shiming Zhang, Zhongrui Wang |
| 2025 | Invited: EDA for Heterogeneous Integration. | Emad Haque, Pragnya Sudershan Nalla, Chetal Choppali Sudarshan, Divya Yogi, Hangyu Zhang, Chaitali Chakrabarti, Vidya A. Chhabria, Ramesh Harjani, Jeff Zhang, Sachin S. Sapatnekar |
| 2025 | A High-Precision and Low-Cost Approximate Transform Accelerator for Video Coding. | Zhijian Hao, Jiaming Liu, Chenlong He, Qi Zheng, Shushi Chen, Jinchang Xu, Yue Hao, Xiao Yan, Xiaohua Ma |
| 2025 | An Algorithm-Hardware Co-design Based on Revised Microscaling Format Quantization for Accelerating Large Language Models. | Yingbo Hao, Huangxu Chen, Yi Zou, Yanfeng Yang |
| 2025 | Near-Memory LLM Inference Processor based on 3D DRAM-to-logic Hybrid Bonding. | Sanghyeok Han, Byungkuk Yoon, Gyeonghwan Park, Choungki Song, Dongkyun Kim, Jae-Joon Kim |
| 2025 | SCONE: A Logic Locking Technique Utilizing SMT Solver and Circuit Encoding Scheme for Efficient Hardware IP Protection. | Zhaokun Han, Daniel Xing, Kostas Amberiadis, Ankur Srivastava, Jeyavijayan (JV) Rajendran |
| 2025 | FLAG: An FPGA-Based System for Low-Latency GNN Inference Service Using Vector Quantization. | Yunki Han, Taehwan Kim, Jiwan Kim, Seohye Ha, Lee-Sup Kim |
| 2025 | EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data. | Jason Han, Nicholas S. DiBrita, Younghyun Cho, Hengrui Luo, Tirthak Patel |
| 2025 | BBAL: A Bidirectional Block Floating Point-Based Quantisation Accelerator for Large Language Models. | Xiaomeng Han, Yuan Cheng, Jing Wang, Junyang Lu, Hui Wang, X. x. Zhang, Ning Xu, Dawei Yang, Zhe Jiang |
| 2025 | Device-Aware Test: A Means to Attack Unmodelled Defects (Invited). | Said Hamdioui, Mottaqiallah Taouil |
| 2025 | DM-Tune: Quantizing Diffusion Models with Mixture-of-Gaussian Guided Noise Tuning. | Pouya Haghi, Ali Falahati, Zahra Azad, Chunshu Wu, Ruibing Song, Chuan Liu, Ang Li, Tong Geng |
| 2025 | VersaSlot: Efficient Fine-grained FPGA Sharing with Big.Little Slots and Live Migration in FPGA Cluster. | Jianfeng Gu, Hao Wang, Xiaorang Guo, Martin Schulz, Michael Gerndt |
| 2025 | GEM: GPU-Accelerated Emulator-Inspired RTL Simulation. | Zizheng Guo, Yanqing Zhang, Runsheng Wang, Yibo Lin, Haoxing Ren |
| 2025 | IRGNN: A Graph-based Framework Integrating Numerical Solution and Point Cloud for Static IR Drop Prediction. | Feng Guo, Yueyue Xi, Jianwang Zhai, Jingyu Jia, Jiawei Liu, Kang Zhao, Chuan Shi |
| 2025 | LightRIM: Light Runtime Integrity Measurement for Linux Kernels in Embedded Applications. | Yili Guo, Zhuoran Ma, Xiangyue Li, Jiajia Huang, Wanli Chang |
| 2025 | PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints. | Yuanchun Guo, Bingyan Liu, Yulong Sha, Zhensheng Xian |
| 2025 | KLiNQ: Knowledge Distillation-Assisted Lightweight Neural Network for Qubit Readout on FPGA. | Xiaorang Guo, Tigran Bunarjyan, Dai Liu, Benjamin Lienhard, Martin Schulz |
| 2025 | Weighted Range-Constrained Ising-Model Decoder for Quantum Error Correction. | Xinyi Guo, Hiromitsu Awano, Takashi Sato |
| 2025 | MemSeer: Leverage Memory Failure Distinctions and Multi-Grained Prediction in Ultra-Scale Heterogeneous X86/ARM Clusters. | Yunfei Gu, Yixuan Liu, Xinyuan Wu, Bo Shao, Chentao Wu, Shiyi Li, Jieru Zhao, Jie Li, Minyi Guo, Kunlin Yang, Wengui Zhang, Feilong Lin |
| 2025 | ParGNN: A Scalable Graph Neural Network Training Framework on multi-GPUs. | Junyu Gu, Shunde Li, Rongqiang Cao, Jue Wang, Zijian Wang, Zhiqiang Liang, Fang Liu, Shigang Li, Chunbao Zhou, Yangang Wang, Xuebin Chi |
| 2025 | Power-Constrained Printed Neuromorphic Hardware Training. | Tara Gheshlaghi, Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori |
| 2025 | EVA: An Efficient and Versatile Generative Engine for Targeted Discovery of Novel Analog Circuits. | Jian Gao, Weimin Fu, Xiaolong Guo, Weidong Cao, Xuan Zhang |