| 2024 | Robustness Evaluation of Localization Techniques for Autonomous Racing. | Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno |
| 2024 | Full-Stack Optimization for CAM-Only DNN Inference. | Joo Paulo C. de Lima, Asif Ali Khan, Luigi Carro, Jernimo Castrilln |
| 2024 | PhotonNTT: Energy-Efficient Parallel Photonic Number Theoretic Transform Accelerator. | Xianbin Li, Jiaqi Liu, Yuying Zhang, Yinyi Liu, Jiaxu Zhang, Chengeng Li, Shixi Chen, Yuxiang Fu, Fengshi Tian, Wei Zhang, Jiang Xu |
| 2024 | SCGen: A Versatile Generator Framework for Agile Design of Stochastic Circuits. | Zexi Li, Haoran Jin, Kuncai Zhong, Guojie Luo, Runsheng Wang, Weikang Qian |
| 2024 | Towards Scalable GPU System with Silicon Photonic Chiplet. | Chengeng Li, Fan Jiang, Shixi Chen, Xianbin Li, Jiaqi Liu, Wei Zhang, Jiang Xu |
| 2024 | A Concealable RRAM Physical Unclonable Function Compatible with In-Memory Computing. | Jiang Li, Yijun Cui, Chenghua Wang, Weiqiang Liu, Shahar Kvatinsky |
| 2024 | HyQA: Hybrid Near-Data Processing Platform for Embedding Based Question Answering System. | Shengwen Liang, Ziming Yuan, Ying Wang, Dawen Xu, Huawei Li, Xiaowei Li |
| 2024 | BoolGebra: Attributed Graph-Learning for Boolean Algebraic Manipulation. | Yingjie Li, Anthony Agnesina, Yanqing Zhang, Haoxing Ren, Cunxi Yu |
| 2024 | AI Models for Edge Computing: Hardware-aware Optimizations for Efficiency. | Hai Helen Li |
| 2024 | S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN. | Shun Li, Ruiqi Chen, Enhao Tang, Yajing Liu, Jing Yang, Kun Wang |
| 2024 | TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. | Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda |
| 2024 | Cognitive Sensing for Energy-Efficient Edge Intelligence. | Minah Lee, Sudarshan Sharma, Wei Chun Wang, Hemant Kumawat, Nael Mizanur Rahman, Saibal Mukhopadhyay |
| 2024 | I | Jimin Lee, Sangwoo Park, Junho Huh, Sanghyo Jeong, Inhwan Kim, Jae Min Kim |
| 2024 | CTRL-B: Back-End-Of-Line Configuration Pathfinding Using Cross-Technology Transferable Reinforcement Learning. | Sung-Yun Lee, Kyungjun Min, Seokhyeong Kang |
| 2024 | Trans-Net: Knowledge-Transferring Analog Circuit Optimizer with a Netlist-Based Circuit Representation. | Ho-Jin Lee, Kyeong-Jun Lee, Youngchang Choi, Kyongsu Lee, Seokhyeong Kang, Jae-Yoon Sim |
| 2024 | Discovering Efficient Fused Layer Configurations for Executing Multi-Workloads on Multi-Core NPUs. | Younghyun Lee, Hyejun Kim, Yongseung Yu, Myeongjin Cho, Jiwon Seo, Yongjun Park |
| 2024 | Towards Forward-Only Learning for Hyperdimensional Computing. | Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani, Yeseong Kim |
| 2024 | Fast IR-Drop Prediction of Analog Circuits Using Recurrent Synchronized GCN and Y-Net Model. | Seunggyu Lee, Daijoon Hyun, Younggwang Jung, Gangmin Cho, Youngsoo Shin |
| 2024 | An Autonomic Resource Allocating SSD. | Dongjoon Lee, Jongin Choe, Chanyoung Park, Kyungtae Kang, Mahmut T. Kandemir, Wonil Choi |
| 2024 | ViT- ToGo: Vision Transformer Accelerator with Grouped Token Pruning. | Seungju Lee, Kyumin Cho, Eunji Kwon, Sejin Park, Seojeong Kim, Seokhyeong Kang |
| 2024 | Certainty or Intelligence: Pick One! | Edward A. Lee |
| 2024 | Adaptive ODE Solvers for Timed Data Flow Models in SystemC-AMS. | Alexandra Kster, Rainer Dorsch, Christian Haubelt |
| 2024 | Motivating the Use of Machine-Learning for Improving Timing Behaviour of Embedded Mixed-Criticality Systems. | Vikash Kumar, Behnaz Ranjbar, Akash Kumar |
| 2024 | Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems. | Niraj Kumar, Chuanchao Gao, Arvind Easwaran |
| 2024 | Aloha-HE: A Low-Area Hardware Accelerator for Client-Side Operations in Homomorphic Encryption. | Florian Krieger, Florian Hirner, Ahmet Can Mert, Sujoy Sinha Roy |