| 2024 | Miracle: Multi-Action Reinforcement Learning-Based Chip Floorplanning Reasoner. | Bo Yang, Qi Xu, Hao Geng, Song Chen, Yi Kang |
| 2024 | Reconfigurable Frequency Multipliers Based on Complementary Ferroelectric Transistors. | Haotian Xu, Jianyi Yang, Cheng Zhuo, Thomas Kmpfe, Kai Ni, Xunzhao Yin |
| 2024 | Fluid Dynamic DNNs for Reliable and Adaptive Distributed Inference on Edge Devices. | Lei Xun, Mingyu Hu, Hengrui Zhao, Amit Kumar Singh, Jonathon S. Hare, Geoff V. Merrett |
| 2024 | Device-Aware Diagnosis for Yield Learning in RRAMs. | Hanzhi Xun, Moritz Fieback, Sicong Yuan, Hassen Aziza, Mottaqiallah Taouil, Said Hamdioui |
| 2024 | FeReX: A Reconfigurable Design of Multi-Bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search. | Zhicheng Xu, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas Kmpfe, Mohsen Imani, Can Li, Cheng Zhuo, Xunzhao Yin |
| 2024 | A Deep-Learning-Based Statistical Timing Prediction Method for Sub-16nm Technologies. | Jiajie Xu, Leilei Jin, Wenjie Fu, Longxing Shi |
| 2024 | AttBind: Memory-Efficient Acceleration for Long-Range Attention Using Vector-Derived Symbolic Binding. | Weihong Xu, Jaeyoung Kang, Tajana Rosing |
| 2024 | DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. | Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang |
| 2024 | ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer. | Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang |
| 2024 | SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum- Flux - Parametron Superconducting Circuits. | Yanyue Xie, Peiyan Dong, Geng Yuan, Zhengang Li, Masoud Zabihi, Chao Wu, Sung-En Chang, Xufeng Zhang, Xue Lin, Caiwen Ding, Nobuyuki Yoshikawa, Olivia Chen, Yanzhi Wang |
| 2024 | Efficient Exploration of Cyber-Physical System Architectures Using Contracts and Subgraph Isomorphism. | Yifeng Xiao, Chanwook Oh, Michele Lora, Pierluigi Nuzzo |
| 2024 | LLM-Based Processor Verification: A Case Study for Neuronnorphic Processor. | Chao Xiao, Yifei Deng, Zhijie Yang, Renzhi Chen, Hong Wang, Jingyue Zhao, Huadong Dai, Lei Wang, Yuhua Tang, Weixia Xu |
| 2024 | SenseDSE: Sensitivity-Based Performance Evaluation for Design Space Exploration of Microarchitecture. | Zheng Wu, Xiaoling Yi, Li Shang, Fan Yang |
| 2024 | DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices. | Yushu Wu, Chao Wu, Geng Yuan, Yanyu Li, Weichao Guo, Jing Rao, Xipeng Shen, Bin Ren, Yanzhi Wang |
| 2024 | Dynamic Per-Flow Queues for TSN Switches. | Wenxue Wu, Zhen Li, Tong Zhang, Xiaoqin Feng, Liwei Zhang, Xuelong Qi, Fengyuan Ren |
| 2024 | Reinforcement Learning-Based Optimization of Back-Side Power Delivery Networks in VLSI Design for IR -Drop Reduction. | Seungmin Woo, Hyunsoo Lee, Yunjeong Shin, MinSeok Han, Yunjeong Go, Jongbeom Kim, Hyundong Lee, Hyunwoo Kim, Taigon Song |
| 2024 | Design Automation for Quantum Computing: Intermediate Stage Report of the ERC Consolidator Grant "DAQC". | Robert Wille |
| 2024 | Corporate Governance and Management of AI-Driven Product Development: Vehicle Automation. | William H. Widen, Marilyn Claire Wolf |
| 2024 | 12 mJ Per Class On-Device Online Few-Shot Class-Incremental Learning. | Yoga Esa Wibowo, Cristian Cioflan, Thorir Mar Ingolfsson, Michael Hersche, Leo Zhao, Abbas Rahimi, Luca Benini |
| 2024 | PACE: A Piece-Wise Approximate and Configurable Floating - Point Divider for Energy - Efficient Computing. | Chenyi Wen, Haonan Du, Zhengrui Chen, Li Zhang, Qi Sun, Cheng Zhuo |
| 2024 | Towards Reliable and Energy-Efficient RRAM Based Discrete Fourier Transform Accelerator. | Jianan Wen, Andrea Baroni, Eduardo Prez, Max Uhlmann, Markus Fritscher, Karthik KrishneGowda, Markus Ulbricht, Christian Wenger, Milos Krstic |
| 2024 | Communication-Efficient Model Parallelism for Distributed In-Situ Transformer Inference. | Yuanxin Wei, Shengyuan Ye, Jiazhi Jiang, Xu Chen, Dan Huang, Jiangsu Du, Yutong Lu |
| 2024 | FMTT: Fused Multi-Head Transformer with Tensor-Compression for 3D Point Clouds Detection on Edge Devices. | Zikun Wei, Tingting Wang, Chenchen Ding, Bohan Wang, Ziyi Guan, Hantao Huang, Hao Yu |
| 2024 | High Throughput Hardware Accelerated CoreSight Trace Decoding. | Matthew Edwin Weingarten, Nora Hossle, Timothy Roscoe |
| 2024 | Complete and Efficient Verification for a RISC-V Processor Using Formal Verification. | Lennart Weingarten, Kamalika Datta, Abhoy Kole, Rolf Drechsler |