| 2023 | Work or Sleep: Freshness-Aware Energy Scheduling for Wireless Powered Communication Networks with Interference Consideration. | Ling Lin, Lei Ju, Chun Jason Xue, Mingliang Zhou, Wei Zhang, Zimeng Zhou |
| 2023 | Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing. | Yuhang Li, Abhishek Moitra, Tamar Geller, Priyadarshini Panda |
| 2023 | FIONA: Fine-grained Incoherent Optical DNN Accelerator Search for Superior Efficiency and Robustness. | Mengquan Li, Kenli Li, Mingfeng Lan, Jie Xiong, Zhuo Tang, Weichen Liu |
| 2023 | Optimizing the Performance of NDP Operations by Retrieving File Semantics in Storage. | Lin Li, Xianzhang Chen, Jiali Li, Jiapin Wang, Duo Liu, Yujuan Tan, Ao Ren |
| 2023 | On a Moreau Envelope Wirelength Model for Analytical Global Placement. | Peiyu Liao, Hongduo Liu, Yibo Lin, Bei Yu, Martin D. F. Wong |
| 2023 | Hybrid Gate-Pulse Model for Variational Quantum Algorithms. | Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi |
| 2023 | Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation. | Rongjian Liang, Nathaniel Ross Pinckney, Yuji Chai, Haoxin Ren, Brucek Khailany |
| 2023 | Response Time Analysis and Optimization of DAG Tasks Exploiting Mutually Exclusive Execution. | Haochun Liang, Xu Jiang, Nan Guan, Qingqiang He, Wang Yi |
| 2023 | DRPTM: A Decoupled Read-efficient High-scalable Persistent Transactional Memory. | Wenkai Liang, Hao Hu, Xiangyu Zou, Wen Xia, Yanqi Pan |
| 2023 | Emerging Hardware Technologies and 3D System Integration for Ubiquitous Machine Intelligence. | Haitong Li |
| 2023 | Neuromorphic Swarm on RRAM Compute-in-Memory Processor for Solving QUBO Problem. | Ashwin Sanjay Lele, Muya Chang, Samuel D. Spetalnick, Brian Crafton, Arijit Raychowdhury, Yan Fang |
| 2023 | Victor: A Variation-resilient Approach Using Cell-Clustered Charge-domain computing for High-density High-throughput MLC CiM. | Mingyen Lee, Wenjun Tang, Yiming Chen, Juejian Wu, Hongtao Zhong, Yixin Xu, Yongpan Liu, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li |
| 2023 | Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation. | Sanghoon Lee, Jongho Park, Minho Ha, Byungil Koh, Kyoung Park, Yeseong Kim |
| 2023 | In-Memory Neural Network Accelerator based on eDRAM Cell with Enhanced Retention Time. | Inhwan Lee, Eunhwan Kim, Nameun Kang, Hyunmyung Oh, Jae-Joon Kim |
| 2023 | Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. | Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim |
| 2023 | Occamy: Memory-efficient GPU Compiler for DNN Inference. | Jaeho Lee, Shinnung Jeong, Seungbin Song, Kunwoo Kim, Heelim Choi, Youngsok Kim, Hanjun Kim |
| 2023 | A Memory-Efficient Edge Inference Accelerator with XOR-based Model Compression. | Hyunseung Lee, Jihoon Hong, Soosung Kim, Seung Yul Lee, Jae W. Lee |
| 2023 | DBPS: Dynamic Block Size and Precision Scaling for Efficient DNN Training Supported by RISC-V ISA Extensions. | Seunghyun Lee, Jeik Choi, Seock-Hwan Noh, Jahyun Koo, Jaeha Kung |
| 2023 | Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning. | Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu |
| 2023 | Profile-Driven Banded Smith-Waterman acceleration for Short Read Alignment. | Konstantina Koliogeorgi, Dimitrios Soudris, Sotirios Xydis |
| 2023 | CUDA Quantum: The Platform for Integrated Quantum-Classical Computing. | Jin-Sung Kim, Alex McCaskey, Bettina Heim, Manish Modani, Sam Stanwyck, Timothy B. Costa |
| 2023 | Range-Invariant Approximation of Non-Linear Operations for Efficient BERT Fine-Tuning. | Janghyeon Kim, Janghwan Lee, Jungwook Choi, JeongHo Han, Sangheon Lee |
| 2023 | Lightning Talk: Unlocking the Potential of the Analog Domain: Exploring the Next Frontier in Hardware Security. | Waleed Khalil |
| 2023 | OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload. | Andreas Karatzas, Iraklis Anagnostopoulos |
| 2023 | Fast Adversarial Training with Dynamic Batch-level Attack Control. | Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee |