| 2024 | FQP: A Fibonacci Quantization Processor with Multiplication-Free Computing and Topological-Order Routing. | Xiaolong Yang, Yang Wang, Yubin Qin, Jiachen Wang, Shaojun Wei, Yang Hu, Shouyi Yin |
| 2024 | EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks. | Ning Yang, Fangxin Liu, Zongwu Wang, Haomin Li, Zhuoran Song, Songwen Pei, Li Jiang |
| 2024 | Energy Efficient Dual Designs of FeFET-Based Analog In-Memory Computing with Inherent Shift-Add Capability. | Zeyu Yang, Qingrong Huang, Yu Qian, Kai Ni, Thomas Kmpfe, Xunzhao Yin |
| 2024 | EdGeo: A Physics-guided Generative AI Toolkit for Geophysical Monitoring on Edge Devices. | Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang |
| 2024 | Cache-aware Task Decomposition for Efficient Intermittent Computing Systems. | Shuo Xu, Wei Zhang, Mengying Zhao, Zimeng Zhou, Lei Ju |
| 2024 | Invited: Automatic Hardware/Software Design for High-Speed Autonomous Unmanned Aerial Vehicles Guided by a Flight Model. | Yuanfan Xu, Jincheng Yu, Suquan Zhang, Yunfei Xiang, Hongyang Jia, Yu Wang |
| 2024 | HEIRS: Hybrid Three-Dimension RRAM- and SRAM-CIM Architecture for Multi-task Transformer Acceleration. | Liukai Xu, Shuai Yuan, Dengfeng Wang, Yiming Chen, Xueqing Li, Yanan Sun |
| 2024 | Enabling Multiple Tensor-wise Operator Fusion for Transformer Models on Spatial Accelerators. | Lei Xu, Zhiwen Mo, Qin Wang, Jianfei Jiang, Naifeng Jing |
| 2024 | DEFA: Efficient Deformable Attention Acceleration via Pruning-Assisted Grid-Sampling and Multi-Scale Parallel Processing. | Yansong Xu, Dongxu Lyu, Zhenyu Li, Yuzhou Chen, Zilong Wang, Gang Wang, Zhican Wang, Haomin Li, Guanghui He |
| 2024 | Compact and Efficient CAM Architecture through Combinatorial Encoding and Self-Terminating Searching for In-Memory-Searching Accelerator. | Weikai Xu, Jin Luo, Qianqian Huang, Ru Huang |
| 2024 | GDR-HGNN: A Heterogeneous Graph Neural Networks Accelerator Frontend with Graph Decoupling and Recoupling. | Runzhen Xue, Mingyu Yan, Dengke Han, Yihan Teng, Zhimin Tang, Xiaochun Ye, Dongrui Fan |
| 2024 | Oltron: Algorithm-Hardware Co-design for Outlier-Aware Quantization of LLMs with Inter-/Intra-Layer Adaptation. | Chenhao Xue, Chen Zhang, Xun Jiang, Zhutianya Gao, Yibo Lin, Guangyu Sun |
| 2024 | Towards Cost-Effective Real-Time High-Throughput End Station Design for Time-Sensitive Networking (TSN). | Chuanyu Xue, Tianyu Zhang, Song Han |
| 2024 | GSPO: A Graph Substitution and Parallelization Joint Optimization Framework for DNN Inference. | Zheng Xu, Xu Dai, Shaojun Wei, Shouyi Yin, Yang Hu |
| 2024 | Performance-driven Analog Routing via Heterogeneous 3DGNN and Potential Relaxation. | Peng Xu, Guojin Chen, Keren Zhu, Tinghuan Chen, Tsung-Yi Ho, Bei Yu |
| 2024 | Every Failure Is A Lesson: Utilizing All Failure Samples To Deliver Tuning-Free Efficient Yield Evaluation. | Wei W. Xing, Yanfang Liu, Weijian Fan, Lei He |
| 2024 | KATO: Knowledge Alignment And Transfer for Transistor Sizing Of Different Design and Technology. | Wei W. Xing, Weijian Fan, Zhuohua Liu, Yuan Yao, Yuanqi Hu |
| 2024 | A High Level Approach to Co-Designing 3D ICs. | Daniel Xing, Ankur Srivastava |
| 2024 | Efficient Approximate Decomposition Solver using Ising Model. | Weihua Xiao, Tingting Zhang, Xingyue Qian, Jie Han, Weikang Qian |
| 2024 | Fake Node-Based Perception Poisoning Attacks against Federated Object Detection Learning in Mobile Computing Networks. | Xiong Xiao, Mingxing Duan, Yingjie Song, Zhuo Tang, Wenjing Yang |
| 2024 | Dyn-Bitpool: A Two-sided Sparse CIM Accelerator Featuring a Balanced Workload Scheme and High CIM Macro Utilization. | Xujiang Xiang, Zhiheng Yue, Yuxuan Li, Liuxin Lv, Shaojun Wei, Yang Hu, Shouyi Yin |
| 2024 | LEAF: An Adaptation Framework against Noisy Data on Edge through Ultra Low-Cost Training. | Zihan Xia, Jinwook Kim, Mingu Kang |
| 2024 | TATOO: A Flexible Hardware Platform for Binary-Only Fuzzing. | Jinting Wu, Haodong Zheng, Yu Wang, Tai Yue, Fengwei Zhang |
| 2024 | How to Steal CPU Idle Time When Synchronous I/O Mode Becomes Promising. | Chun-Feng Wu, Yuan-Hao Chang, Ming-Chang Yang, Tei-Wei Kuo |
| 2024 | PPGNN: Fast and Accurate Privacy-Preserving Graph Neural Network Inference via Parallel and Pipelined Arithmetic-and-Logic FHE Accelerator. | Yuntao Wei, Xueyan Wang, Song Bian, Yicheng Huang, Weisheng Zhao, Yier Jin |