| 2023 | Multi-Objective Architecture Search and Optimization for Heterogeneous Neuromorphic Architecture. | Juseong Park, Yongwon Shin, Hyojin Sung |
| 2023 | Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service. | Jaewoo Park, Chenghao Quan, Hyungon Moon, Jongeun Lee |
| 2023 | Routability Prediction and Optimization Using Explainable AI. | Seonghyeon Park, Daeyeon Kim, Seongbin Kwon, Seokhyeong Kang |
| 2023 | Distributionally Robust Circuit Design Optimization under Variation Shifts. | Yifan Pan, Zichang He, Nanlin Guo, Zheng Zhang |
| 2023 | $\mathcal{P}\text{ARseL}$: Towards a Verified Root-of-Trust Over seL4. | Ivan De Oliveira Nunes, Seoyeon Hwang, Sashidhar Jakkamsetti, Norrathep Rattanavipanon, Gene Tsudik |
| 2023 | Brain-Inspired Trustworthy Hyperdimensional Computing with Efficient Uncertainty Quantification. | Yang Ni, Hanning Chen, Prathyush Poduval, Zhuowen Zou, Pietro Mercati, Mohsen Imani |
| 2023 | $\mathcal{D}\mathsf{iCA}$: A Hardware-Software Co-Design for Differential Check-Pointing in Intermittently Powered Devices. | Antonio Joia Neto, Adam Caulfield, Chistabelle Alvares, Ivan De Oliveira Nunes |
| 2023 | SystemC Model of Power Side-Channel Attacks Against AI Accelerators: Superstition or not? | Andrija Neskovic, Saleh Mulhem, Alexander Treff, Rainer Buchty, Thomas Eisenbarth, Mladen Berekovic |
| 2023 | 3DNN-Xplorer: A Machine Learning Framework for Design Space Exploration of Heterogeneous 3D DNN Accelerators. | Gauthaman Murali, Aditya Iyer, Navneeth Ravichandran, Sung Kyu Lim |
| 2023 | ClusterNet: Routing Congestion Prediction and Optimization Using Netlist Clustering and Graph Neural Networks. | Kyungjun Min, Seongbin Kwon, Sung-Yun Lee, Dohun Kim, Sunghye Park, Seokhyeong Kang |
| 2023 | Invited Paper: A Scalable Hardware/Software Co-Design Approach for Efficient Polynomial Multiplication. | Lrnt Meszlnyi, Elif Bilge Kavun, Irem Keskinkurt Paksoy, Avesha Khalid, Tolga Yalin |
| 2023 | SpOctA: A 3D Sparse Convolution Accelerator with Octree-Encoding-Based Map Search and Inherent Sparsity-Aware Processing. | Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Jinming Zhang, Ningyi Xu, Guanghui He |
| 2023 | Real-time Thermal Map Estimation for AMD Multi-Core CPUs Using Transformer. | Jincong Lu, Jinwei Zhang, Sheldon X.-D. Tan |
| 2023 | SSDe: FPGA-Based SSD Express Emulation Framework. | Yizhen Lu, Luyang Yu, Deming Chen |
| 2023 | DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs. | Erjing Luo, Haitong Huang, Cheng Liu, Guoyu Li, Bing Yang, Ying Wang, Huawei Li, Xiaowei Li |
| 2023 | Meltrix: A RRAM-Based Polymorphic Architecture Enhanced by Function Synthesis. | Boyu Long, Libo Shen, Xiaoyu Zhang, Yinhe Han, Xian-He Sun, Xiaoming Chen |
| 2023 | HAPIC: A Scalable, Lightweight and Reactive Cache for Persistent-Memory-Based Index. | Chih-Ting Lo, Yun-Chih Chen, Yuan-Hao Chang, Tei-Wei Kuo |
| 2023 | Multi-Task Evolutionary to PVT Knowledge Transfer for Analog Integrated Circuit Optimization. | Jintao Li, Haochang Zhi, Weiwei Shan, Yongfu Li, Yanhan Zeng, Yun Li |
| 2023 | An Adversarial Active Sampling-Based Data Augmentation Framework for AI-Assisted Lithography Modeling. | Mingjie Liu, Haoyu Yang, Brucek Khailany, Haoxing Ren |
| 2023 | Accuracy-Preserving Reduction of Sparsified Reduced Power Grids with A Multilevel Node Aggregation Scheme. | Zhiqiang Liu, Wenjian Yu |
| 2023 | Invited Paper: VerilogEval: Evaluating Large Language Models for Verilog Code Generation. | Mingjie Liu, Nathaniel Ross Pinckney, Brucek Khailany, Haoxing Ren |
| 2023 | MirrorNet: A TEE-Friendly Framework for Secure On-Device DNN Inference. | Ziyu Liu, Yukui Luo, Shijin Duan, Tong Zhou, Xiaolin Xu |
| 2023 | FIONA: Photonic-Electronic CoSimulation Framework and Transferable Prototyping for Photonic Accelerator. | Yinyi Liu, Bohan Hu, Zhenguo Liu, Peiyu Chen, Linfeng Du, Jiaqi Liu, Xianbin Li, Wei Zhang, Jiang Xu |
| 2023 | Side Channel-Assisted Inference Attacks on Machine Learning-Based ECG Classification. | Jialin Liu, Houman Homayoun, Chongzhou Fang, Ning Miao, Han Wang |
| 2023 | TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency. | Jun Liu, Guohao Dai, Hao Xia, Lidong Guo, Xiangsheng Shi, Jiaming Xu, Huazhong Yang, Yu Wang |