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Journal Articles
- 2024
[j4]Tianjin Mo, Qiao Xiao, Hongyi Zhang, Ren Li, Yunsong Wu:
Domain-Specific Few-Shot Table Prompt Question Answering via Contrastive Exemplar Selection. Algorithms 17(7): 278 (2024)- [j3]Qiao Xiao
, Ren Li, Jianxi Yang, Yu Chen, Shixin Jiang, Di Wang:
TPKE-QA: A gapless few-shot extractive question answering approach via task-aware post-training and knowledge enhancement. Expert Syst. Appl. 254: 124475 (2024) - [j2]Qiao Xiao, Yu Zhang, Qiang Yang:
Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4476-4488 (2024) - 2023
- [j1]Ren Li, Qiao Xiao, Jianxi Yang, Hao Ren, Yu Chen:
Few-Shot Relation Extraction via the Entity Feature Enhancement and Attention-Based Prototypical Network. Int. J. Intell. Syst. 2023: 1-11 (2023)
Conference and Workshop Papers
- 2024
- [c11]Qiao Xiao, Jinjing Zhu, Boqian Wu, Yu Zhang:
Open-Set Semi-Supervised Learning by Distribution Alignment. IJCNN 2024: 1-8 - 2023
- [c10]Qiao Xiao, Ren Li, Yu Chen, Jiangcun Xie:
CPCM-MRC: A Few-shot Machine Reading Comprehension Approach for Intelligent Bridge Management via Continual Pre-training and Copy Mechanism. ICAICE 2023: 682-687 - [c9]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang:
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. ICLR 2023 - 2022
- [c8]Luyi Zhang, Ren Li, Qiao Xiao:
A Prompt-based Few-shot Machine Reading Comprehension Model for Intelligent Bridge Management. EITCE 2022: 946-950 - [c7]Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu:
Dynamic Sparse Network for Time Series Classification: Learning What to "See". NeurIPS 2022 - 2021
- [c6]Qiao Xiao, Yu Zhang:
Distant Transfer Learning via Deep Random Walk. AAAI 2021: 10422-10429 - [c5]Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang:
Multi-Objective Meta Learning. NeurIPS 2021: 21338-21351 - 2017
- [c4]Xiao Han, Jiayin Xue, Qinyu Zhang, Qiao Xiao, Peng Zhao:
A Two-Handed Gesture Recognition Technique on Mobile Devices Based on Improved DTW Algorithm. CSPS 2017: 1429-1436 - [c3]Qiao Xiao, Qinyu Zhang, Boqian Wu, Xiao Han, Xi Wu:
Long-Term Target Tracking for UAV Based on Correlation Filter. CSPS 2017: 2678-2685 - [c2]Boqian Wu, Tasleem Kausar, Qiao Xiao, Mingjiang Wang, Wenfeng Wang, Binwen Fan, Dandan Sun:
FF-CNN: An Efficient Deep Neural Network for Mitosis Detection in Breast Cancer Histological Images. MIUA 2017: 249-260 - 2016
- [c1]Zhigang Duan, Yongtu Liang, Qiang Guo, Qiao Xiao, Haoran Zhang, Guoxi He:
An automatic detailed scheduling method of refined products pipeline. ICCA 2016: 816-823
Informal and Other Publications
- 2024
- [i11]Adriana Fernandez-Lopez, Honglie Chen, Pingchuan Ma, Lu Yin, Qiao Xiao, Stavros Petridis, Shiwei Liu, Maja Pantic:
MSRS: Training Multimodal Speech Recognition Models from Scratch with Sparse Mask Optimization. CoRR abs/2406.17614 (2024) - [i10]Qiao Xiao, Pingchuan Ma, Adriana Fernandez-Lopez, Boqian Wu, Lu Yin, Stavros Petridis, Mykola Pechenizkiy, Maja Pantic, Decebal Constantin Mocanu, Shiwei Liu:
Dynamic Data Pruning for Automatic Speech Recognition. CoRR abs/2406.18373 (2024) - [i9]Wieger Wesselink, Bram Grooten, Qiao Xiao, Cassio de Campos, Mykola Pechenizkiy:
Nerva: a Truly Sparse Implementation of Neural Networks. CoRR abs/2407.17437 (2024) - [i8]Qiao Xiao, Boqian Wu, Lu Yin, Christopher Neil Gadzinski, Tianjin Huang, Mykola Pechenizkiy, Decebal Constantin Mocanu:
Are Sparse Neural Networks Better Hard Sample Learners? CoRR abs/2409.09196 (2024) - [i7]Boqian Wu, Qiao Xiao, Shunxin Wang, Nicola Strisciuglio, Mykola Pechenizkiy, Maurice van Keulen, Decebal Constantin Mocanu, Elena Mocanu:
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness. CoRR abs/2410.03030 (2024) - 2023
- [i6]Boqian Wu, Qiao Xiao, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Decebal Constantin Mocanu, Maurice van Keulen, Elena Mocanu:
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation. CoRR abs/2312.04727 (2023) - [i5]Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang:
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. CoRR abs/2312.05024 (2023) - 2022
- [i4]Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang:
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. CoRR abs/2207.03620 (2022) - [i3]Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu:
Dynamic Sparse Network for Time Series Classification: Learning What to "see". CoRR abs/2212.09840 (2022) - 2021
- [i2]Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang:
Multi-Objective Meta Learning. CoRR abs/2102.07121 (2021) - 2020
- [i1]Qiao Xiao, Yu Zhang:
Distant Transfer Learning via Deep Random Walk. CoRR abs/2006.07622 (2020)
Coauthor Index
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