Qiao Xiao

According to our database, Qiao Xiao authored at least 31 papers between 2016 and 2025.

Collaborative distances:

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

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, June, 2025

Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution.

Qiao Xiao, Alan Ansell, Boqian Wu, Lu Yin, Mykola Pechenizkiy, Shiwei Liu, Decebal Constantin Mocanu

CoRR, May, 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, Lu Yin, Elena Mocanu, Mykola Pechenizkiy, Decebal Constantin Mocanu

CoRR, May, 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

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

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Domain-Specific Few-Shot Table Prompt Question Answering via Contrastive Exemplar Selection.

Tianjin Mo, Qiao Xiao, Hongyi Zhang, Ren Li, Yunsong Wu

Algorithms, July, 2024

Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces.

Qiao Xiao, Yu Zhang, Qiang Yang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting.

Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang

IEEE Trans. Image Process., 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

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

Nerva: a Truly Sparse Implementation of Neural Networks.

Wieger Wesselink, Bram Grooten, Qiao Xiao, Cassio de Campos, Mykola Pechenizkiy

CoRR, 2024

E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation.

Boqian Wu, Qiao Xiao, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Decebal Constantin Mocanu, Maurice van Keulen, Elena Mocanu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Dynamic Data Pruning for Automatic Speech Recognition.

Qiao Xiao, Pingchuan Ma, Adriana Fernandez-Lopez, Boqian Wu, Lu Yin, Stavros Petridis, Mykola Pechenizkiy, Maja Pantic, Decebal Constantin Mocanu, Shiwei Liu

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

MSRS: Training Multimodal Speech Recognition Models from Scratch with Sparse Mask Optimization.

Adriana Fernandez-Lopez, Honglie Chen, Pingchuan Ma, Lu Yin, Qiao Xiao, Stavros Petridis, Shiwei Liu, Maja Pantic

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Open-Set Semi-Supervised Learning by Distribution Alignment.

Qiao Xiao, Jinjing Zhu, Boqian Wu, Yu Zhang

Proceedings of the International Joint Conference on Neural Networks, 2024

Are Sparse Neural Networks Better Hard Sample Learners?

Qiao Xiao, Boqian Wu, Lu Yin, Christopher Neil Gadzinski, Tianjin Huang, Mykola Pechenizkiy, Decebal Constantin Mocanu

Proceedings of the 35th British Machine Vision Conference, 2024

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

A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting.

Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang

CoRR, 2023

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.

Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

2022

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.

Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang

CoRR, 2022

Dynamic Sparse Network for Time Series Classification: Learning What to "See".

Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Prompt-based Few-shot Machine Reading Comprehension Model for Intelligent Bridge Management.

Luyi Zhang, Ren Li, Qiao Xiao

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

2021

Multi-Objective Meta Learning.

Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Distant Transfer Learning via Deep Random Walk.

Qiao Xiao, Yu Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Long-Term Target Tracking for UAV Based on Correlation Filter.

Qiao Xiao, Qinyu Zhang, Boqian Wu, Xiao Han, Xi Wu

Proceedings of the Communications, Signal Processing, and Systems, 2017

A Two-Handed Gesture Recognition Technique on Mobile Devices Based on Improved DTW Algorithm.

Xiao Han, Jiayin Xue, Qinyu Zhang, Qiao Xiao, Peng Zhao

Proceedings of the Communications, Signal Processing, and Systems, 2017

2016

An automatic detailed scheduling method of refined products pipeline.

Zhigang Duan, Yongtu Liang, Qiang Guo, Qiao Xiao, Haoran Zhang, Guoxi He

Proceedings of the 12th IEEE International Conference on Control and Automation, 2016