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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j36]Xiaoxu Li, Jiaming Chen, Jiahao Wang, Jianqiang Wang, Xiaotao Li
, Yingnan Kan:
Research on Fault Diagnosis Method of Bearings in the Spindle System for CNC Machine Tools Based on DRSN-Transformer. IEEE Access 12: 74586-74595 (2024)- [j35]Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-Directional Ensemble Feature Reconstruction Network for Few-Shot Fine-Grained Classification. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6082-6096 (2024) - [j34]Xiaoxu Li, Zhen Li, Jiyang Xie, Xiaochen Yang, Jing-Hao Xue, Zhanyu Ma:
Self-reconstruction network for fine-grained few-shot classification. Pattern Recognit. 153: 110485 (2024) - [j33]Xiaoxu Li, Zijie Guo, Rui Zhu, Zhanyu Ma, Jun Guo, Jing-Hao Xue:
A simple scheme to amplify inter-class discrepancy for improving few-shot fine-grained image classification. Pattern Recognit. 156: 110736 (2024) - [c32]Xiao You, Pittawat Taveekitworachai, Siyuan Chen, Mustafa Can Gursesli, Xiaoxu Li, Yi Xia, Ruck Thawonmas:
Dungeons, Dragons, and Emotions: A Preliminary Study of Player Sentiment in LLM-driven TTRPGs. FDG 2024: 59 - [c31]Ruochong Shen, Xiaoxu Li, Yuan-Fang Li, Chao Sui, Yu Peng, Qiuhong Ke:
DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction. MICCAI (7) 2024: 223-232 - [c30]Shicheng Yang, Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Jing-Hao Xue:
Channel-Spatial Support-Query Cross-Attention for Fine-Grained Few-Shot Image Classification. ACM Multimedia 2024: 9175-9183 - 2023
- [j32]Xiaoxu Li, Yu Peng, Min Xu:
Patch-shuffle-based semi-supervised segmentation of bone computed tomography via consistent learning. Biomed. Signal Process. Control. 80(Part): 104239 (2023) - [j31]Xiaoxu Li, Yalan Li, Yixiao Zheng, Rui Zhu, Zhanyu Ma, Jing-Hao Xue, Jie Cao:
ReNAP: Relation network with adaptiveprototypical learning for few-shot classification. Neurocomputing 520: 356-364 (2023) - [j30]Xin Xing, Xiaoxu Li, Lin Lin:
Unified analysis of finite-size error for periodic Hartree-Fock and second order Møller-Plesset perturbation theory. Math. Comput. 93(346): 679-727 (2023) - [j29]Xiaoxu Li, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue:
Deep metric learning for few-shot image classification: A Review of recent developments. Pattern Recognit. 138: 109381 (2023) - [j28]Xiaoxu Li, Qi Song, Jijie Wu, Rui Zhu, Zhanyu Ma, Jing-Hao Xue:
Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7530-7540 (2023) - [c29]Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. AAAI 2023: 2821-2829 - [c28]Zhen Li, Lang Wang, Wenjuan An, Song Qi, Xiaoxu Li, Xuezhi Fei:
Feature Augmentation Reconstruction Network for Few-Shot Image Classification. APSIPA ASC 2023: 1571-1578 - [c27]Xiaowei Guo, Jijie Wu, Kai Ren, Qi Song, Xiaoxu Li:
Dual Feature Reconstruction Network For Few-shot Image Classification. APSIPA ASC 2023: 1579-1584 - [c26]Xiaoxu Li, Xiao You, Siyuan Chen, Pittawat Taveekitworachai, Ruck Thawonmas:
Analyzing Audience Comments: Improving Interactive Narrative with ChatGPT. ICIDS (2) 2023: 220-228 - [i14]Xiaoxu Li, Huajie Chen:
Approximations of the Green's Function in Multiple Scattering Theory for Crystalline Systems. CoRR abs/2310.05713 (2023) - 2022
- [j27]Xianpeng Wang, Xinglu Ma, Xiaoxu Li, Xiaoyu Ma, Chunxu Li:
Target-biased informed trees: sampling-based method for optimal motion planning in complex environments. J. Comput. Des. Eng. 9(2): 755-771 (2022) - [j26]Qushuo Chen, Changyan Yang, Yihao Xie, Yuqiang Wang, Xiaoxu Li, Kairong Wang, Jinqi Huang, Wenjin Yan:
GM-Pep: A High Efficiency Strategy to De Novo Design Functional Peptide Sequences. J. Chem. Inf. Model. 62(10): 2617-2629 (2022) - [j25]Yurong Guo, Ruoyi Du, Xiaoxu Li, Jiyang Xie, Zhanyu Ma, Yuan Dong:
Learning Calibrated Class Centers for Few-Shot Classification by Pair-Wise Similarity. IEEE Trans. Image Process. 31: 4543-4555 (2022) - [c25]Xiaoxu Li, Marcel Wira, Ruck Thawonmas:
Toward Dynamic Difficulty Adjustment with Audio Cues by Gaussian Process Regression in a First-Person Shooter. ICEC 2022: 154-161 - [i13]Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. CoRR abs/2211.17161 (2022) - 2021
- [j24]Jing-Hao Xue, Jufeng Yang, Xiaoxu Li, Yan Yan, Yujiu Yang, Zongqing Lu, Zhanyu Ma:
Guest Editorial: Special issue on deep learning with small samples. Neurocomputing 456: 461-462 (2021) - [j23]Xiaoxu Li, Zhuo Sun, Jing-Hao Xue, Zhanyu Ma:
A concise review of recent few-shot meta-learning methods. Neurocomputing 456: 463-468 (2021) - [j22]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jun Guo:
Deep InterBoost networks for small-sample image classification. Neurocomputing 456: 492-503 (2021) - [j21]Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo:
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1569-1579 (2021) - [j20]Xiaoxu Li, Jijie Wu, Zhuo Sun, Zhanyu Ma, Jie Cao, Jing-Hao Xue:
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. IEEE Trans. Image Process. 30: 1318-1331 (2021) - [c24]Zhuo Sun, Jijie Wu, Xiaoxu Li, Wenming Yang, Jing-Hao Xue:
Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification. AISTATS 2021: 1414-1422 - [c23]Xiaoxu Li, Yu Peng, Min Xu:
Edge-enhanced Instance Segmentation of Wrist CT via a Semi-Automatic Annotation Database Construction Method. DICTA 2021: 1-8 - [c22]Xiaoxu Li, Wenming Zheng, Yuan Zong, Hongli Chang, Cheng Lu:
Attention-based Spatio-Temporal Graphic LSTM for EEG Emotion Recognition. IJCNN 2021: 1-8 - [c21]Yurong Guo, Zhanyu Ma, Xiaoxu Li, Yuan Dong:
TLRM: Task-level Relation Module for GNN-based Few-Shot Learning. VCIP 2021: 1-5 - [i12]Yurong Guo, Zhanyu Ma, Xiaoxu Li, Yuan Dong:
ATRM: Attention-based Task-level Relation Module for GNN-based Few-shot Learning. CoRR abs/2101.09840 (2021) - [i11]Xin Xing, Xiaoxu Li, Lin Lin:
Staggered mesh method for correlation energy calculations of solids: Second order Møller-Plesset perturbation theory. CoRR abs/2102.09652 (2021) - [i10]Xiaoxu Li, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue:
Deep Metric Learning for Few-Shot Image Classification: A Selective Review. CoRR abs/2105.08149 (2021) - [i9]Xin Xing, Xiaoxu Li, Lin Lin:
Unified analysis of finite-size error for periodic Hartree-Fock and second order Møller-Plesset perturbation theory. CoRR abs/2108.00206 (2021) - [i8]Xiaoxu Li, Huajie Chen, Xingyu Gao:
Numerical Analysis of the Multiple Scattering Theory for Electronic Structure Calculations. CoRR abs/2111.07272 (2021) - 2020
- [j19]Jie Cao, Yue Ding, Xiaoxu Li:
Person reidentification based on view information and batch feature erasing. J. Electronic Imaging 29(4): 043014 (2020) - [j18]Yunxia Wang, Song Zhang, Fengcheng Li, Ying Zhou, Ying Zhang, Zhengwen Wang, Runyuan Zhang, Jiang Zhu, Yuxiang Ren, Ying Tan, Chu Qin, Yinghong Li, Xiaoxu Li, Yuzong Chen, Feng Zhu:
Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics. Nucleic Acids Res. 48(Database-Issue): D1031-D1041 (2020) - [j17]Jiayi Yin, Wen Sun, Fengcheng Li, Jiajun Hong, Xiaoxu Li, Ying Zhou, Yinjing Lu, Mengzhi Liu, Xue Zhang, Na Chen, Xiuping Jin, Jia Xue, Su Zeng, Lushan Yu, Feng Zhu:
VARIDT 1.0: variability of drug transporter database. Nucleic Acids Res. 48(Database-Issue): D1042-D1050 (2020) - [j16]Tianrong Rao, Xiaoxu Li, Min Xu:
Learning Multi-level Deep Representations for Image Emotion Classification. Neural Process. Lett. 51(3): 2043-2061 (2020) - [j15]Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song:
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. IEEE Trans. Image Process. 29: 4683-4695 (2020) - [j14]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo:
OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer. IEEE Trans. Image Process. 29: 6482-6495 (2020) - [c20]Xiaoxu Li, Tao Tian, Yuxin Liu, Hong Yu, Jie Cao, Zhanyu Ma:
Adaptive Multi-prototype Relation Network. APSIPA 2020: 1707-1712 - [c19]Xiaoxu Li, Jintao Yan, Jijie Wu, Yuxin Liu, Xiaochen Yang, Zhanyu Ma:
Anti-Noise Relation Network for Few-shot Learning. APSIPA 2020: 1719-1724 - [c18]Zeyu Song, Dongliang Chang, Zhanyu Ma, Xiaoxu Li, Zheng-Hua Tan:
CC-Loss: Channel Correlation Loss for Image Classification. ICPR 2020: 7601-7608 - [i7]Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song:
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification. CoRR abs/2002.04264 (2020) - [i6]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo:
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer. CoRR abs/2004.09033 (2020) - [i5]Xiaoxu Li, Zhuo Sun, Jing-Hao Xue, Zhanyu Ma:
A Concise Review of Recent Few-shot Meta-learning Methods. CoRR abs/2005.10953 (2020) - [i4]Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo:
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification. CoRR abs/2006.15366 (2020) - [i3]Zeyu Song, Dongliang Chang, Zhanyu Ma, Xiaoxu Li, Zheng-Hua Tan:
CC-Loss: Channel Correlation Loss For Image Classification. CoRR abs/2010.05469 (2020) - [i2]Xiaoxu Li, Jijie Wu, Zhuo Sun, Zhanyu Ma, Jie Cao, Jing-Hao Xue:
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. CoRR abs/2011.14311 (2020)
2010 – 2019
- 2019
- [j13]Xiaoxu Li, Dongliang Chang, Tao Tian, Jie Cao:
Large-Margin Regularized Softmax Cross-Entropy Loss. IEEE Access 7: 19572-19578 (2019) - [j12]Fangyi Zhu, Zhanyu Ma, Xiaoxu Li, Guang Chen, Jen-Tzung Chien, Jing-Hao Xue, Jun Guo:
Image-text dual neural network with decision strategy for small-sample image classification. Neurocomputing 328: 182-188 (2019) - [j11]Tianrong Rao, Xiaoxu Li, Haimin Zhang, Min Xu:
Multi-level region-based Convolutional Neural Network for image emotion classification. Neurocomputing 333: 429-439 (2019) - [j10]Xiaoxu Li, Huajie Chen:
A discontinuous Galerkin scheme for full-potential electronic structure calculations. J. Comput. Phys. 385: 33-50 (2019) - [j9]Zhanyu Ma, Dongliang Chang, Jiyang Xie, Yifeng Ding, Shaoguo Wen, Xiaoxu Li, Zhongwei Si, Jun Guo:
Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs. IEEE Trans. Veh. Technol. 68(4): 3224-3233 (2019) - [j8]Xiaoxu Li, Liyun Yu, Dongliang Chang, Zhanyu Ma, Jie Cao:
Dual Cross-Entropy Loss for Small-Sample Fine-Grained Vehicle Classification. IEEE Trans. Veh. Technol. 68(5): 4204-4212 (2019) - [c17]Zhaojun Yang, Jun Sun, Xiaoxu Li, Yali Zhang:
Informal Alignment in Digital Innovation for Corporate Sustainability. AMCIS 2019 - [c16]Jie Cao, Yinping Qiu, Dongliang Chang, Xiaoxu Li, Zhanyu Ma:
Dynamic Attention Loss for Small-Sample Image Classification. APSIPA 2019: 75-79 - [c15]Xiaoxu Li, Jijie Wu, Dongliang Chang, Weifeng Huang, Zhanyu Ma, Jie Cao:
Mixed Attention Mechanism for Small-Sample Fine-grained Image Classification. APSIPA 2019: 80-85 - [c14]Jie Cao, Yaofeng Zhou, Hong Yu, Xiaoxu Li, Dan Wang, Zhanyu Ma:
A Loss With Mixed Penalty for Speech Enhancement Generative Adversarial Network. APSIPA 2019: 86-90 - [c13]Xiaoxu Li, Liyun Yu, Jie Cao, Dongliang Chang, Zhanyu Ma, Nian Liu:
Small-Sample Image Classification Method of Combining Prototype and Margin Learning. APSIPA 2019: 91-95 - [c12]Jun Ying, Zhaojun Yang, Chuanhai Chen, Xiaoxu Li, Hailong Tian:
Stress Intensity Factors for Thick-walled Cylinder under Interference Fit. ICSRS 2019: 359-363 - [i1]Zhanyu Ma, Dongliang Chang, Xiaoxu Li:
Channel Max Pooling Layer for Fine-Grained Vehicle Classification. CoRR abs/1902.11107 (2019) - 2018
- [j7]Xuejiao Du, Zhaojun Yang, Chuanhai Chen, Xiaoxu Li, Michael G. Pecht:
Reliability Analysis of Repairable Systems Based on a Two-Segment Bathtub-Shaped Failure Intensity Function. IEEE Access 6: 52374-52384 (2018) - [j6]Xiaoxu Li, Zhanyu Ma, Pai Peng, Xiaowei Guo, Feiyue Huang, Xiaojie Wang, Jun Guo:
Supervised latent Dirichlet allocation with a mixture of sparse softmax. Neurocomputing 312: 324-335 (2018) - [j5]Xiaoxu Li, Zhanyu Ma, Pai Peng, Xiaowei Guo, Feiyue Huang, Xiaojie Wang, Jun Guo:
Corrigendum to "Supervised latent Dirichlet allocation with a mixture of sparse softmax" [Neurocomputing, volume 312, 27 October 2018, Pages 324-335]. Neurocomputing 318: 306 (2018) - [c11]Dongliang Chang, Xiaoxu Li, Jiyang Xie, Zhanyu Ma, Jun Guo, Jie Cao:
SSE: A New Selective Initialization Strategy for Snapshot Ensembling. CCIS 2018: 542-547 - 2017
- [j4]Jiaxu Chen, Long Zhang, Xiaoxu Li, Bo Zhang, Zhongfu Ye:
Locally controlled as-rigid-as-possible deformation for 2D characters. Comput. Animat. Virtual Worlds 28(6) (2017) - [c10]Xiaoxu Li, Chensi Mao, Shiliang Huang, Zhongfu Ye:
Chinese Sign Language Recognition Based on SHS Descriptor and Encoder-Decoder LSTM Model. CCBR 2017: 719-728 - [c9]Chensi Mao, Shiliang Huang, Xiaoxu Li, Zhongfu Ye:
Chinese Sign Language Recognition with Sequence to Sequence Learning. CCCV (1) 2017: 180-191 - [c8]Fangyi Zhu, Xiaoxu Li, Zhanyu Ma, Guang Chen, Pai Peng, Xiaowei Guo, Jen-Tzung Chien, Jun Guo:
Image-Text Dual Model for Small-Sample Image Classification. CCCV (2) 2017: 556-565 - 2016
- [c7]Xiaoxu Li, Yiming Zhang, Junli Wang, Qiumei Pu:
A Preliminary Study of Plant Domain Ontology. DASC/PiCom/DataCom/CyberSciTech 2016: 109-112 - 2015
- [j3]Zhaobin Liu, Xiaoxu Li, Tong Zhu, Yiyang Zhao:
Unsupervised Diagnosis in Large Scale Complex Networks. Ad Hoc Sens. Wirel. Networks 28(3-4): 161-181 (2015) - 2014
- [c6]Xiaoxu Li, Qiang Ma, Zhichao Cao, Kebin Liu, Yunhao Liu:
Enhancing Visibility of Network Performance in Large-Scale Sensor Networks. ICDCS 2014: 409-418 - [c5]Xiaoxu Li, Qiang Ma, Wei Sun, Kebin Liu, Yunhao Liu:
Topology shaping for time synchronization in wireless sensor networks. ICPADS 2014: 33-40 - 2013
- [j2]Wei Gong, Kebin Liu, Xiaoxu Li, Xin Miao, Tong Zhu:
Quality of Interaction for Sensor Network Energy-Efficient Management. Comput. J. 56(8): 926-937 (2013) - 2011
- [c4]Xiaoxu Li, Junyu Zeng, Xiaojie Wang, Yixin Zhong:
Mixture of Softmax sLDA. ICDM 2011: 1164-1169 - 2010
- [j1]Guiguang Ding, Lu Zhang, Xiaoxu Li:
Video annotation based on adaptive annular spatial partition scheme. IEICE Electron. Express 7(1): 7-12 (2010)
2000 – 2009
- 2008
- [c3]He Lin, Xiaoxu Li:
Generalization of Reduction in Rough Sets Based on the Views of Pansystems. FCS 2008: 180-184 - [c2]Xiaoxu Li, Yongli Li:
Research of Decision Rule in Rough Sets Based on Pansystems View. FCS 2008: 185-189 - [c1]Yuhua Liu, Jingju Gao, Longquan Zhu, Xiaoxu Li:
Distributed Routing for Wireless Sensor Networks Based on Cluster Maintenance. FGCN (1) 2008: 373-376
Coauthor Index
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