Zexin Fu

According to our database, Zexin Fu authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Accelerating Precise End-to-End Simulation: Latency-Sensitive Many-core System Modeling.

Yinrong Li, Zexin Fu, Yichao Zhang, Germain Haugou, Chi Zhang, Marco Bertuletti, Bowen Wang, Luca Benini

CoRR, May, 2026

Harmony: A Hardware-Mapping Co-Exploration Framework for Hybrid CIM-based Vision Transformer Accelerator.

Yihang Zuo, Zexin Fu, Cong Wang, Yuchao Wu, Jiayi Huang, Yuzhe Ma

Proceedings of the 27th International Symposium on Quality Electronic Design, 2026

2025

Hemlet: A Heterogeneous Compute-in-Memory Chiplet Architecture for Vision Transformers with Group-Level Parallelism.

Cong Wang, Zexin Fu, Jiayi Huang, Shanshi Huang

CoRR, November, 2025

CVA6S+: A Superscalar RISC-V Core with High-Throughput Memory Architecture.

Riccardo Tedeschi, Gianmarco Ottavi, Côme Allart, Nils Wistoff, Zexin Fu, Filippo Grillotti, Fabio De Ambroggi, Elio Guidetti, Jean-Baptiste Rigaud, Olivier Potin, Jean-Roch Coulon, César Fuguet, Luca Benini, Davide Rossi

CoRR, May, 2025

Research on the Development and Application of the GDELT Event Database.

Dengxi Hong, Zexin Fu, Xin Zhang, Yan Pan

Data, 2025

Optimizing Heterogeneous Compute-in-Memory with Hybrid Dataflow and In-Network Reduction for Vision Transformer.

Zexin Fu, Yihang Zuo, Yuzhe Ma, Jiayi Huang

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2025

TeraNOC: A Multi-Channel 32-Bit Fine-Grained, Hybrid Mesh-Crossbar Noc for Efficient Scale-Up of 1000+ Core Shared-L1-Memory Clusters.

Yichao Zhang, Zexin Fu, Tim Fischer, Yinrong Li, Marco Bertuletti, Luca Benini

Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

Ramping Up Open-Source RISC-V Cores: Assessing the Energy Efficiency of Superscalar, Out-of-Order Execution.

Zexin Fu, Riccardo Tedeschi, Gianmarco Ottavi, Nils Wistoff, César Fuguet, Davide Rossi, Luca Benini

Proceedings of the 22nd ACM International Conference on Computing Frontiers, 2025

2024

From image-level to pixel-level labeling: A weakly-supervised learning method for identifying aquaculture ponds using iterative anti-adversarial attacks guided by aquaculture features.

Boyi Li, Adu Gong, Jiaming Zhang, Zexin Fu

Int. J. Appl. Earth Obs. Geoinformation, 2024

Environmental Effects of Lane Management Strategies Considering Connected and Autonomous Vehicles.

Xizhen Chen, Xumei Chen, Shiyu Jiang, Yue Du, Zexin Fu

Proceedings of the IEEE International Conference on Service Operations and Logistics, 2024

2023

A Temporal Attention-based Model for Social Event Prediction.

Yinsen Wang, Xin Zhang, Yan Pan, Zexin Fu

Proceedings of the International Joint Conference on Neural Networks, 2023

Hierarchical Attention based Feature Learning for Interpretable Social Event Prediction.

Yinsen Wang, Xin Zhang, Yan Pan, Zexin Fu

Proceedings of the 2023 Asia Conference on Computer Vision, 2023

2022

A high-precision image classification network model based on a voting mechanism.

Jianghong Zhao, Xin Wang, Xintong Dou, Yingxue Zhao, Zexin Fu, Ming Guo, Ruiju Zhang

Int. J. Digit. Earth, December, 2022