Long-Term Target Tracking for UAV Based on Correlation Filter. - Qiao Xiao; Qinyu Zhang 001; Boqian Wu; Xiao Han; Xi Wu (CSPS, 2017)

A proxy signature scheme with public verifiability for NAC. - Junli Mi; Shanjun Yan; Wenfeng Wang; Boqian Wu; Wei Peng (ICARM, 2017)

FF-CNN: An Efficient Deep Neural Network for Mitosis Detection in Breast Cancer Histological Images. - Boqian Wu; Tasleem Kausar; Qiao Xiao; Mingjiang Wang; Wenfeng Wang; Binwen Fan; Dandan Sun (MIUA, 2017)

Precision Security: Integrating Video Surveillance with Surrounding Environment Changes. - Wenfeng Wang; Xi Chen 007; Guiwei Zhang; Jing Qian; Peng Wei 003; Boqian Wu; Hongwei Zheng 002 (Complex., 2018)

Dynamic Sparse Network for Time Series Classification: Learning What to "See". - Qiao Xiao; Boqian Wu; Yu Zhang 006; Shiwei Liu 003; Mykola Pechenizkiy; Elena Mocanu; Decebal Constantin Mocanu (NeurIPS, 2022)

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. - Shiwei Liu 003; Tianlong Chen 001; Xiaohan Chen; Xuxi Chen; Qiao Xiao; Boqian Wu; Mykola Pechenizkiy; Decebal Constantin Mocanu; Zhangyang Wang (CoRR, 2022)

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. - Shiwei Liu 003; Tianlong Chen 001; Xiaohan Chen; Xuxi Chen; Qiao Xiao; Boqian Wu; Tommi Kärkkäinen; Mykola Pechenizkiy; Decebal Constantin Mocanu; Zhangyang Wang (ICLR, 2023)

Weighted Multivariate Mean Reversion for Online Portfolio Selection. - Boqian Wu; Benmeng Lyu; Jiawen Gu (ECML/PKDD (5), 2023)

Are Sparse Neural Networks Better Hard Sample Learners? - Qiao Xiao; Boqian Wu; Lu Yin 006; Christopher Neil Gadzinski; Tianjin Huang; Mykola Pechenizkiy; Decebal Constantin Mocanu (BMVC, 2024)

Open-Set Semi-Supervised Learning by Distribution Alignment. - Qiao Xiao; Jinjing Zhu; Boqian Wu; Yu Zhang (IJCNN, 2024)

Dynamic Data Pruning for Automatic Speech Recognition. - Qiao Xiao; Pingchuan Ma 001; Adriana Fernandez-Lopez; Boqian Wu; Lu Yin 006; Stavros Petridis; Mykola Pechenizkiy; Maja Pantic; Decebal Constantin Mocanu; Shiwei Liu 003 (INTERSPEECH, 2024)

E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation. - Boqian Wu; Qiao Xiao; Shiwei Liu 003; Lu Yin 006; Mykola Pechenizkiy; Decebal Constantin Mocanu; Maurice van Keulen; Elena Mocanu (NeurIPS, 2024)

Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness. - Boqian Wu; Qiao Xiao; Shunxin Wang; Nicola Strisciuglio; Mykola Pechenizkiy; Maurice van Keulen; Decebal Constantin Mocanu; Elena Mocanu (ICLR, 2025)

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling. - Bram Grooten; Farid Hasanov; Chenxiang Zhang; Qiao Xiao; Boqian Wu; Zahra Atashgahi; Ghada Sokar; Shiwei Liu 003; Lu Yin 006; Elena Mocanu; Mykola Pechenizkiy; Decebal Constantin Mocanu (CoRR, 2025)

Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution. - Qiao Xiao; Alan Ansell; Boqian Wu; Lu Yin 006; Mykola Pechenizkiy; Shiwei Liu 003; Decebal Constantin Mocanu (CoRR, 2025)

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity. - Qiao Xiao; Boqian Wu; Andrey Poddubnyy; Elena Mocanu; Phuong H. Nguyen; Mykola Pechenizkiy; Decebal Constantin Mocanu (CoRR, 2025)