| 2023 | Automatic End-to-End Joint Optimization for Kernel Compilation on DSPs. | Xiaolei Zhao, Zhaoyun Chen, Yang Shi, Mei Wen, Chunyun Zhang |
| 2023 | A Universal Method for Task Allocation on FP-FPS Multiprocessor Systems with Spin Locks. | Shuai Zhao, Nan Chen, Yinjie Fang, Zhao Li, Wanli Chang |
| 2023 | MixPipe: Efficient Bidirectional Pipeline Parallelism for Training Large-Scale Models. | Weigang Zhang, Biyu Zhou, Xuehai Tang, Zhaoxing Wang, Songlin Hu |
| 2023 | ANAS: Asynchronous Neuromorphic Hardware Architecture Search Based on a System-Level Simulator. | Jian Zhang, Jilin Zhang, Dexuan Huo, Hong Chen |
| 2023 | Uint-Packing: Multiply Your DNN Accelerator Performance via Unsigned Integer DSP Packing. | Jingwei Zhang, Meng Zhang, Xinye Cao, Guoqing Li |
| 2023 | FSPA: An FeFET-based Sparse Matrix-Dense Vector Multiplication Accelerator. | Xiaoyu Zhang, Zerun Li, Rui Liu, Xiaoming Chen, Yinhe Han |
| 2023 | AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs. | Ruisi Zhang, Mojan Javaheripi, Zahra Ghodsi, Amit Bleiweiss, Farinaz Koushanfar |
| 2023 | BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. | Jingyao Zhang, Mohsen Imani, Elaheh Sadredini |
| 2023 | Contention-Free Configured Grant Scheduling for 5G URLLC Traffic. | Tianyu Zhang, Xiaobo Sharon Hu, Song Han |
| 2023 | LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition. | Yu Zhang, Yifan Chen, Zhonglin Xie, Hong Xu, Zaiwen Wen, Yibo Lin, Bei Yu |
| 2023 | C | Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel |
| 2023 | Automated Design of Complex Analog Circuits with Multiagent based Reinforcement Learning. | Jinxin Zhang, Jiarui Bao, Zhangcheng Huang, Xuan Zeng, Ye Lu |
| 2023 | Lightning Talk: Private and Secure Edge AI with Hyperdimensional Computing. | Xiaofan Yu, Minxuan Zhou, Fatemeh Asgarinejad, Onat Gngr, Baris Aksanli, Tajana Rosing |
| 2023 | EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs. | Yongbo Yu, Fuxun Yu, Xiang Sheng, Chenchen Liu, Xiang Chen |
| 2023 | Invited: Autonomous Driving Digital Twin Empowered Design Automation: An Industry Perspective. | Bo Yu, Jie Tang, Shaoshan Liu |
| 2023 | NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. | Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine Lin |
| 2023 | TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning. | Eunji Yoo, Gunho Park, Jung Gyu Min, Se Jung Kwon, Baeseong Park, Dongsoo Lee, Youngjoo Lee |
| 2023 | RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUs. | Jiaqi Yin, Yingjie Li, Daniel Robinson, Cunxi Yu |
| 2023 | Graph Representation Learning for Microarchitecture Design Space Exploration. | Xiaoling Yi, Jialin Lu, Xiankui Xiong, Dong Xu, Li Shang, Fan Yang |
| 2023 | Pathfinding Model and Lagrangian-Based Global Routing. | Pengju Yao, Ping Zhang, Wenxing Zhu |
| 2023 | Fast FPGA Accelerator of Graph Cut Algorithm with Out-of-order Parallel Execution in Folding Grid Architecture. | Guangyao Yan, Xinzhe Liu, Hui Wang, Yajun Ha |
| 2023 | SpMMPlu: A Compiler Plug-in with Sparse IR for Efficient Sparse Matrix Multiplication. | Tao Yang, Yiyuan Zhou, Qidong Tang, Feng Xu, Hui Ma, Jieru Zhao, Li Jiang |
| 2023 | Venus: A Versatile Deep Neural Network Accelerator Architecture Design for Multiple Applications. | Jiaqi Yang, Hao Zheng, Ahmed Louri |
| 2023 | On-Device Unsupervised Image Segmentation. | Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang |
| 2023 | Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge. | Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin |