A Novel MADM Approach Based on Cross-entropy with intuitionistic Hesitant Fuzzy Sets. - Yuhang Bao; Zeqi Zhu; Yongjing Xiong (ICMSS, 2017)

Influence of Beam Distribution on the Quality of Compressed Sensing-Based THz Imaging. - Li Zhang 123; Xue-mei Hu; Zeqi Zhu; Feng Yan 002; Xiaoli Ji (IEEE Access, 2020)

ARTS: An adaptive regularization training schedule for activation sparsity exploration. - Zeqi Zhu; Arash Pourtaherian; Luc Waeijen; Lennart Bamberg; Egor Bondarev; Orlando Moreira (DSD, 2022)

Applications of graph convolutional networks in computer vision. - Pingping Cao; Zeqi Zhu; Ziyuan Wang; Yanping Zhu; Qiang Niu (Neural Comput. Appl., 2022)

Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition. - Erkut Akdag; Zeqi Zhu; Egor Bondarev; Peter H. N. de With (CVPR Workshops, 2023)

STAR: Sparse Thresholded Activation under partial-Regularization for Activation Sparsity Exploration. - Zeqi Zhu; Arash Pourtaherian; Luc Waeijen; Egor Bondarev; Orlando Moreira (CVPR Workshops, 2023)

ELSE: Efficient Deep Neural Network Inference Through Line-Based Sparsity Exploration. - Zeqi Zhu; Alberto García-Ortiz; Luc Waeijen; Egor Bondarev; Arash Pourtaherian; Orlando Moreira (ECCV (11), 2024)

CATS: Combined Activation and Temporal Suppression for Efficient Network Inference. - Zeqi Zhu; Arash Pourtaherian; Luc Waeijen; Ibrahim Batuhan Akkaya; Egor Bondarev; Orlando Moreira (WACV, 2024)

FedSQ: A Secure System for Federated Vector Similarity Queries. - Zeqi Zhu; Zeheng Fan; Yuxiang Zeng; Yexuan Shi; Yi Xu 013; Mengmeng Zhou; Jin Dong (Proc. VLDB Endow., 2024)

MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks. - Zeqi Zhu; Ibrahim Batuhan Akkaya; Luc Waeijen; Egor Bondarev; Arash Pourtaherian; Orlando Moreira (CVPR, 2025)