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, 2022)

Hierarchical Attention based Feature Learning for Interpretable Social Event Prediction. - Yinsen Wang; Xin Zhang 018; Yan Pan 003; Zexin Fu (CVIPPR, 2023)

A Temporal Attention-based Model for Social Event Prediction. - Yinsen Wang; Xin Zhang 018; Yan Pan 003; Zexin Fu (IJCNN, 2023)

Environmental Effects of Lane Management Strategies Considering Connected and Autonomous Vehicles. - Xizhen Chen; Xumei Chen; Shiyu Jiang; Yue Du; Zexin Fu (SOLI, 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)

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 (CF, 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; et al. (CoRR, 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 003; Zexin Fu; Tim Fischer 001; Yinrong Li; Marco Bertuletti; Luca Benini (CoRR, 2025)