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2020 – today
- 2024
[j15]Guangze Ye, Wen Wu
, Liye Shi, Wenxin Hu, Xi Chen, Liang He:
A personality-guided preference aggregator for ephemeral group recommendation. Appl. Soft Comput. 167: 112274 (2024)- [j14]Yu Ji, Wen Wu, Yi Hu, Xi Chen, Wenxin Hu, Liang He:
Personality-driven experience storage and retrieval for sentiment classification. J. Supercomput. 80(13): 18627-18651 (2024) - [c49]Ye Wang, Huazheng Pan, Tao Zhang, Wen Wu, Wenxin Hu:
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling. AAAI 2024: 19197-19205 - [c48]Lun Lin, Yinghui Jin, Wenxin Hu:
Prognostic Survival Prediction of Patients with Liver Cirrhosis based on Radiomics Data and Clinical Features. CNIOT 2024 - [c47]Hao Xu, Jing Yang, Jiahao Wang, Wenxin Hu:
Build a 50+ Hours Chinese Mandarin Corpus for Children's Speech Recognition. ICASSP 2024: 10231-10235 - [c46]Xiang Li, Caidan Zhao, Chenxing Gao, Wenxin Hu:
Anomalous Sound Detection Framework Based on Masking Strategy. ICIC (LNAI 6) 2024: 287-298 - [c45]Shuwen Yang, Tianyu Huai, Anran Wu, Xingjiao Wu, Wenxin Hu, Liang He:
Enhancing Out-of-Distribution Generalization in VQA through Gini Impurity-guided Adaptive Margin Loss. ICME 2024: 1-6 - [c44]Zehong Zheng, Changlong Li, Wenxin Hu, Su Wang:
KD-VSUM: A Vision Guided Models for Multimodal Abstractive Summarization with Knowledge Distillation. IJCNN 2024: 1-8 - [i8]Ye Wang, Xinrun Xu, Rui Xie, Wenxin Hu, Wei Ye:
Can Large Language Models Recall Reference Location Like Humans? CoRR abs/2402.17010 (2024) - 2023
- [j13]Guoqing Zhang, Wengen Gao, Yunfei Li, Wenxin Hu, Pengfei Hu, Feng Hua:
Detection and Localization of False Data Injection Attacks in Smart Grid Based on Joint Maximum a Posteriori-Maximum Likelihood. IEEE Access 11: 133867-133878 (2023) - [j12]Juntao Xiong, Junhao Liang, Yanyun Zhuang, Dan Hong, Zhenhui Zheng, Shisheng Liao, Wenxin Hu, Zhen-Gang Yang:
Real-time localization and 3D semantic map reconstruction for unstructured citrus orchards. Comput. Electron. Agric. 213: 108217 (2023) - [j11]Liye Shi, Wen Wu, Jiayi Chen, Wenxin Hu, Wei Zheng, Xi Chen, Liang He:
SMAR: Summary-Aware Multi-Aspect Recommendation. Neurocomputing 555: 126614 (2023) - [j10]Yu Ji, Wen Wu, Yi Hu, Xi Chen, Jiayi Chen, Wenxin Hu, Liang He:
Personality-assisted mood modeling with historical reviews for sentiment classification. Inf. Sci. 649: 119645 (2023) - [j9]Yue Xiao, Lei Yuan, Junyu Wang, Wenxin Hu, Ruimin Sun:
Sparse Reconstruction of Sound Field Using Bayesian Compressive Sensing and Equivalent Source Method. Sensors 23(12): 5666 (2023) - [c43]Huazheng Pan, Wenxin Hu, Wei Zheng, Taojun Jin:
Research on Prediction of Pan-Cancer Immune Checkpoint Blockade Based on Multi-Head Self-Attention Classification Model. CNIOT 2023: 97-105 - [c42]Changquan Lu, Kun Yu, Xukun Zhang, Wenxin Hu:
Multi-scale 2.5D Integrated Model for False Positive Reduction in Abdominal Lymph Node Detection. CNIOT 2023: 151-156 - [c41]Junyi Le, Wenxin Hu, Kun Yu:
A Two-stage Abdominal Lymph Node Detection Algorithm Based on Multi-scale 2.5D Input. ICPADS 2023: 2775-2778 - [c40]Huazheng Pan, Kun Yu, Junyi Le, Wenxin Hu, Taojun Jin:
Unlocking the Potentials of Transcriptomics in Predicting Pan Cancer Immune Therapy Response: A Deep Learning Approach Using PHZNet. TrustCom 2023: 2742-2748 - [i7]Guangze Ye, Wen Wu, Liye Shi, Wenxin Hu, Xin Chen, Liang He:
PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation. CoRR abs/2304.08851 (2023) - [i6]Ye Wang, Huazheng Pan, Tao Zhang, Wen Wu, Wenxin Hu:
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling. CoRR abs/2306.14806 (2023) - 2022
- [j8]Liye Shi, Wen Wu, Wang Guo, Wenxin Hu, Jiayi Chen, Wei Zheng, Liang He:
SENGR: Sentiment-Enhanced Neural Graph Recommender. Inf. Sci. 589: 655-669 (2022) - [j7]Liye Shi, Wen Wu, Wenxin Hu, Jie Zhou, Jiayi Chen, Wei Zheng, Liang He:
DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender. Knowl. Based Syst. 242: 108359 (2022) - [c39]Wenxin Hu, Yidan Chai, Xue Chen, Chao Zheng:
Lattice based Ring Signature Scheme for Secure Cloud-based EMR Sharing. ICCCS 2022: 789-794 - [c38]Qimin Ban, Wen Wu, Wenxin Hu, Hui Lin, Wei Zheng, Liang He:
Knowledge-Enhanced Multi-task Learning for Course Recommendation. DASFAA (2) 2022: 85-101 - [c37]Ye Wang, Xinxin Liu, Wenxin Hu, Tao Zhang:
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling. EMNLP 2022: 4123-4135 - [c36]Yanyu Lin, Jing Yang, Wenxin Hu:
Denoising fMRI Message on Population Graph for Multi-site Disease Prediction. ICONIP (6) 2022: 660-671 - [c35]Hongyang Zhou, Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He:
Unexp-DIN: Unexpected Deep Interest Network for Recommendation. IJCNN 2022: 1-8 - [c34]Leyao Chen, Wei Zheng, Wenxin Hu:
MTN-Net: A Multi-Task Network for Detection and Segmentation of Thyroid Nodules in Ultrasound Images. KSEM (3) 2022: 219-232 - [c33]Weiping He, Wenxin Hu, Kun Yu, Changquan Lu:
Prediction of lymph node metastasis in CT based on multi-scale attention fully convolutional network. SMC 2022: 3171-3177 - [i5]Ye Wang, Xinxin Liu, Wenxin Hu, Tao Zhang:
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling. CoRR abs/2210.08709 (2022) - [i4]Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Xi Chen, Wei Zheng, Liang He:
C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation. CoRR abs/2211.01297 (2022) - 2021
- [j6]Yunpeng Ren, Wenxin Hu, Ziao Wang, Xiaofeng Zhang, Yiyuan Wang, Xuan Wang:
A hybrid deep generative neural model for financial report generation. Knowl. Based Syst. 227: 107093 (2021) - [j5]Wenxin Hu, Hong Miao, Keyu Yan, Yu Fu:
A Fringe Phase Extraction Method Based on Neural Network. Sensors 21(5): 1664 (2021) - [j4]Wenxin Hu, Zhipeng Sheng, Keyu Yan, Hong Miao, Yu Fu:
A New Pattern Quality Assessment Criterion and Defocusing Degree Determination of Laser Speckle Correlation Method. Sensors 21(14): 4728 (2021) - [c32]Yichao Dong, Kun Yu, Wenxin Hu:
GC-UNet: An Improved UNet Model for Mangrove Segmentation Using Landsat8. BDE 2021: 58-63 - [c31]Cheng Gu, Wenxin Hu, Wei Zheng:
Domain Adaptation using NDWI index for Water-land Semantic Segmentation. BDE 2021: 90-96 - [c30]Weiguang Jiang, Su Wang, Jun Zheng, Wenxin Hu:
LGACN: A Light Graph Adaptive Convolution Network for Collaborative Filtering. ICANN (3) 2021: 113-126 - [c29]Jie He, Xingjiao Wu, Wenxin Hu, Jing Yang:
LSTMVAEF: Vivid Layout via LSTM-Based Variational Autoencoder Framework. ICDAR (2) 2021: 176-189 - [c28]Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He:
SSR: Explainable Session-based Recommendation. IJCNN 2021: 1-8 - [c27]Xukun Zhang, Zhiming Cui, Changan Chen, Jie Wei, Jingjiao Lou, Wenxin Hu, He Zhang, Tao Zhou, Feng Shi, Dinggang Shen:
Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images. MICCAI (3) 2021: 584-593 - [c26]Shaoze Chen, Su Wang, Wenxin Hu:
Attention Guided Filter for Jointly Extracting Entities and Classifying Relations. SEKE 2021: 352-358 - [c25]Wei Wang, Xuesong Lu, Bo Huang, Weining Qian, Cheqing Jin, Peng Pu, Wenxin Hu, Yao Liu, Aoying Zhou, Xuan Zhou:
Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform. TALE 2021: 1-8 - 2020
- [j3]Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Tianlong Ma, Jing Yang, Liang He:
Counting crowds with varying densities via adaptive scenario discovery framework. Neurocomputing 397: 127-138 (2020) - [j2]Yu Ji, Wen Wu, Shiyun Chen, Qin Chen, Wenxin Hu, Liang He:
Two-stage sentiment classification based on user-product interactive information. Knowl. Based Syst. 203: 106091 (2020) - [c24]Wei Ding, Wenxin Hu, Junnan Ye:
Research and Construction of the Innovation and Entrepreneurship Collaborative Education Pattern of Design Discipline. AHFE (18) 2020: 136-142 - [c23]Xukun Zhang, Wenxin Hu, Jianhua Cai:
Adaptive Weighted Loss Makes Brain Tumors Segmentation More Accurate in 3D MRI Volume. BDE 2020: 29-35 - [c22]Zhifeng Lin, Jun Zheng, Wenxin Hu:
Using 3D Convolutional Networks with Shortcut Connections for Improved Lung Nodules Classification. BDE 2020: 42-49 - [c21]Xueying Liu, Wenxin Hu, Wei Peng:
Demographic Prediction Based on User's Movie-Watching Behavior. BDE 2020: 75-81 - [c20]Vera G. Meister, Wenxin Hu, Aleksandra Revina, Marcel Cikus, Johannes Müller:
Fachanwendung für digitale Modulkataloge. GI-Jahrestagung 2020: 467-480 - [c19]Weijie Wang, Wenxin Hu:
Improving relation extraction by multi-task learning. HPCCT/BDAI 2020: 152-157 - [c18]Aihua Cai, Wenxin Hu, Jun Zheng:
Few-Shot Learning for Medical Image Classification. ICANN (1) 2020: 441-452 - [c17]Jiayi Chen, Wen Wu, Wenxin Hu, Liang He:
TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos. ICTAI 2020: 67-72 - [c16]Jie He, Xingjiao Wu, Jing Yang, Wenxin Hu:
CPSPNet: Crowd Counting via Semantic Segmentation Framework. ICTAI 2020: 1104-1110 - [c15]Wenxin Hu, Xiaofeng Zhang, Yunpeng Ren:
Generating Financial Reports from Macro News via Multiple Edits Neural Networks. ECML/PKDD (3) 2020: 667-682
2010 – 2019
- 2019
- [c14]Liu Yan, Wenxin Hu, Longzhe Han:
Optimize SPL test cases with adaptive simulated annealing genetic algorithm. ACM TUR-C 2019: 148:1-148:7 - [c13]Liu Yan, Wenxin Hu, Longzhe Han:
Parallel architecture design of genetic algorithms on HPC platform. ACM TUR-C 2019: 149:1-149:7 - [c12]Vera G. Meister, Wenxin Hu, Emre Arkan, Hannes Günther:
Multi-component Infrastructure for e-Lectures - A Viable Solution for Small and Medium-Sized Organizations. BIR 2019: 119-134 - [c11]Yang Song, Wenxin Hu, Liang He:
Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling. DASFAA (2) 2019: 173-190 - [c10]Tingyu Wei, Wenxin Hu, Xingjiao Wu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He:
Aggregating Rich Deep Semantic Features for Fine-Grained Place Classification. ICANN (3) 2019: 55-67 - [c9]Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Adaptive Scenario Discovery for Crowd Counting. ICASSP 2019: 2382-2386 - [c8]Rongli Yi, Wenxin Hu:
Pre-Trained BERT-GRU Model for Relation Extraction. ICCPR 2019: 453-457 - [c7]Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images. ICDAR 2019: 240-245 - [c6]Ningjie Lu, Jun Zheng, Wen Wu, Yan Yang, Kaiwei Chen, Wenxin Hu:
Chinese Clinical Named Entity Recognition with Word-Level Information Incorporating Dictionaries. IJCNN 2019: 1-8 - [c5]Yang Song, Wenxin Hu, Liang He, Liang Dou:
Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function. PAKDD (1) 2019: 501-513 - [i3]Wenxin Hu, Xiaofeng Zhang, Gang Yang:
Automatically Generating Macro Research Reports from a Piece of News. CoRR abs/1911.09572 (2019) - [i2]Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images. CoRR abs/1911.10714 (2019) - 2018
- [c4]Yang Song, Wenxin Hu, Qin Chen, Qinmin Hu, Liang He:
Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation. ICONIP (1) 2018: 511-521 - [i1]Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Adaptive Scenario Discovery for Crowd Counting. CoRR abs/1812.02393 (2018) - 2017
- [j1]Meiting Wang, Pengfei Li, Xiangyu Jia, Wei Liu, Yihan Shao, Wenxin Hu, Jun Zheng, Bernard R. Brooks, Ye Mei:
Efficient Strategy for the Calculation of Solvation Free Energies in Water and Chloroform at the Quantum Mechanical/Molecular Mechanical Level. J. Chem. Inf. Model. 57(10): 2476-2489 (2017) - [c3]Rong Fan, Wenxin Hu:
Face recognition with improved deep belief networks. ICNC-FSKD 2017: 1822-1826 - 2016
- [c2]Zheng Wang, Qingsong Yu, Chaomin Shen, Wenxin Hu:
Feature Selection in Click-Through Rate Prediction Based on Gradient Boosting. IDEAL 2016: 134-142 - 2015
- [c1]Zhiyun Chen, Ya Chen, Wenxin Hu, Dongming Qian:
Wavelet Domain Digital Watermarking Algorithm Based on Threshold Classification. ICSI (3) 2015: 129-136
Coauthor Index
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last updated on 2024-11-07 21:33 CET by the dblp team
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