An automatic detailed scheduling method of refined products pipeline. - Zhigang Duan; Yongtu Liang; Qiang Guo; Qiao Xiao; Haoran Zhang 002; Guoxi He (ICCA, 2016)

A Two-Handed Gesture Recognition Technique on Mobile Devices Based on Improved DTW Algorithm. - Xiao Han; Jiayin Xue; Qinyu Zhang 001; Qiao Xiao; Peng Zhao (CSPS, 2017)

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

Distant Transfer Learning via Deep Random Walk. - Qiao Xiao; Yu Zhang 006 (AAAI, 2021)

Multi-Objective Meta Learning. - Feiyang Ye 001; Baijiong Lin; Zhixiong Yue; Pengxin Guo; Qiao Xiao; Yu Zhang 006 (NeurIPS, 2021)

A Prompt-based Few-shot Machine Reading Comprehension Model for Intelligent Bridge Management. - Luyi Zhang; Ren Li; Qiao Xiao (EITCE, 2022)

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)

CPCM-MRC: A Few-shot Machine Reading Comprehension Approach for Intelligent Bridge Management via Continual Pre-training and Copy Mechanism. - Qiao Xiao; Ren Li; Yu Chen; Jiangcun Xie (ICAICE, 2023)

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)

A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. - Jinjing Zhu; Feiyang Ye 001; Qiao Xiao; Pengxin Guo; Yu Zhang 006; Qiang Yang 001 (CoRR, 2023)

Few-Shot Relation Extraction via the Entity Feature Enhancement and Attention-Based Prototypical Network. - Ren Li; Qiao Xiao; Jianxi Yang; Hao Ren; Yu Chen (Int. J. Intell. Syst., 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)

MSRS: Training Multimodal Speech Recognition Models from Scratch with Sparse Mask Optimization. - Adriana Fernandez-Lopez; Honglie Chen; Pingchuan Ma 001; Lu Yin 006; Qiao Xiao; Stavros Petridis; Shiwei Liu 003; Maja Pantic (INTERSPEECH, 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)

Nerva: a Truly Sparse Implementation of Neural Networks. - Wieger Wesselink; Bram Grooten; Qiao Xiao; Cassio de Campos; Mykola Pechenizkiy (CoRR, 2024)

TPKE-QA: A gapless few-shot extractive question answering approach via task-aware post-training and knowledge enhancement. - Qiao Xiao; Ren Li; Jianxi Yang; Yu Chen; Shixin Jiang; Di Wang (Expert Syst. Appl., 2024)

MRC-PASCL: A Few-Shot Machine Reading Comprehension Approach via Post-Training and Answer Span-Oriented Contrastive Learning. - Ren Li; Qiao Xiao; Jianxi Yang; Luyi Zhang; Yu Chen (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting. - Jinjing Zhu; Feiyang Ye 001; Qiao Xiao; Pengxin Guo; Yu Zhang 006; Qiang Yang 001 (IEEE Trans. Image Process., 2024)

Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces. - Qiao Xiao; Yu Zhang 006; Qiang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Domain-Specific Few-Shot Table Prompt Question Answering via Contrastive Exemplar Selection. - Tianjin Mo; Qiao Xiao; Hongyi Zhang; Ren Li; Yunsong Wu (Algorithms, 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)

MKGM: Multimodal knowledge-guided joint recognition of bridge defect-structural information. - Xiaoxia Yang; Jianxi Yang; Ren Li; Hao Li; Qiao Xiao; Shixin Jiang (Adv. Eng. Informatics, 2025)

Few-shot machine reading comprehension for bridge inspection via domain-specific and task-aware pre-tuning approach. - Ren Li; Luyi Zhang; Qiao Xiao; Jianxi Yang; Yu Chen; Shixin Jiang; Di Wang (Eng. Appl. Artif. Intell., 2025)

A Question-Aware Few-Shot Text-to-SQL Neural Model for Industrial Databases. - Ren Li; Yu Chen; Hongyi Zhang; Jianxi Yang; Qiao Xiao; Shixin Jiang (Int. J. Intell. Syst., 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)