Wavelet Domain Digital Watermarking Algorithm Based on Threshold Classification. - Zhiyun Chen; Ya Chen; Wenxin Hu; Dongming Qian (ICSI (3), 2015)

Feature Selection in Click-Through Rate Prediction Based on Gradient Boosting. - Zheng Wang; Qingsong Yu; Chaomin Shen 001; Wenxin Hu (IDEAL, 2016)

Face recognition with improved deep belief networks. - Rong Fan; Wenxin Hu (ICNC-FSKD, 2017)

Efficient Strategy for the Calculation of Solvation Free Energies in Water and Chloroform at the Quantum Mechanical/Molecular Mechanical Level. - Meiting Wang; Pengfei Li; Xiangyu Jia; Wei Liu; Yihan Shao; Wenxin Hu; Jun Zheng; Bernard R. Brooks; Ye Mei (J. Chem. Inf. Model., 2017)

Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation. - Yang Song 010; Wenxin Hu; Qin Chen 001; Qinmin Hu; Liang He 001 (ICONIP (1), 2018)

Optimize SPL test cases with adaptive simulated annealing genetic algorithm. - Liu Yan; Wenxin Hu; Longzhe Han (ACM TUR-C, 2019)

Parallel architecture design of genetic algorithms on HPC platform. - Liu Yan; Wenxin Hu; Longzhe Han (ACM TUR-C, 2019)

Multi-component Infrastructure for e-Lectures - A Viable Solution for Small and Medium-Sized Organizations. - Vera G. Meister; Wenxin Hu; Emre Arkan; Hannes Günther (BIR, 2019)

Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling. - Yang Song 010; Wenxin Hu; Liang He 001 (DASFAA (2), 2019)

Aggregating Rich Deep Semantic Features for Fine-Grained Place Classification. - Tingyu Wei; Wenxin Hu; Xingjiao Wu; Yingbin Zheng; Hao Ye 005; Jing Yang 023; Liang He 001 (ICANN (3), 2019)

Adaptive Scenario Discovery for Crowd Counting. - Xingjiao Wu; Yingbin Zheng; Hao Ye 005; Wenxin Hu; Jing Yang 023; Liang He 001 (ICASSP, 2019)

Pre-Trained BERT-GRU Model for Relation Extraction. - Rongli Yi; Wenxin Hu (ICCPR, 2019)

Cascaded Detail-Preserving Networks for Super-Resolution of Document Images. - Zhichao Fu; Yu Kong; Yingbin Zheng; Hao Ye 005; Wenxin Hu; Jing Yang 023; Liang He 001 (ICDAR, 2019)

Chinese Clinical Named Entity Recognition with Word-Level Information Incorporating Dictionaries. - Ningjie Lu; Jun Zheng; Wen Wu 006; Yan Yang 008; Kaiwei Chen; Wenxin Hu (IJCNN, 2019)

Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function. - Yang Song 010; Wenxin Hu; Liang He 001; Liang Dou (PAKDD (1), 2019)

Automatically Generating Macro Research Reports from a Piece of News. - Wenxin Hu; Xiaofeng Zhang; Gang Yang (CoRR, 2019)

Research and Construction of the Innovation and Entrepreneurship Collaborative Education Pattern of Design Discipline. - Wei Ding; Wenxin Hu; Junnan Ye (AHFE (18), 2020)

Using 3D Convolutional Networks with Shortcut Connections for Improved Lung Nodules Classification. - Zhifeng Lin; Jun Zheng; Wenxin Hu (BDE, 2020)

Demographic Prediction Based on User's Movie-Watching Behavior. - Xueying Liu; Wenxin Hu; Wei Peng (BDE, 2020)

Adaptive Weighted Loss Makes Brain Tumors Segmentation More Accurate in 3D MRI Volume. - Xukun Zhang; Wenxin Hu; Jianhua Cai (BDE, 2020)

Fachanwendung für digitale Modulkataloge. - Vera G. Meister; Wenxin Hu; Aleksandra Revina; Marcel Cikus; Johannes Müller (GI-Jahrestagung, 2020)

Improving relation extraction by multi-task learning. - Weijie Wang; Wenxin Hu (HPCCT/BDAI, 2020)

Few-Shot Learning for Medical Image Classification. - Aihua Cai; Wenxin Hu; Jun Zheng (ICANN (1), 2020)

TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos. - Jiayi Chen 002; Wen Wu 006; Wenxin Hu; Liang He 001 (ICTAI, 2020)

CPSPNet: Crowd Counting via Semantic Segmentation Framework. - Jie He; Xingjiao Wu; Jing Yang 023; Wenxin Hu (ICTAI, 2020)

Generating Financial Reports from Macro News via Multiple Edits Neural Networks. - Wenxin Hu; Xiaofeng Zhang 002; Yunpeng Ren (ECML/PKDD (3), 2020)

Counting crowds with varying densities via adaptive scenario discovery framework. - Xingjiao Wu; Yingbin Zheng; Hao Ye 005; Wenxin Hu; Tianlong Ma; Jing Yang 023; Liang He 001 (Neurocomputing, 2020)

Two-stage sentiment classification based on user-product interactive information. - Yu Ji; Wen Wu 006; Shiyun Chen; Qin Chen 001; Wenxin Hu; Liang He 001 (Knowl. Based Syst., 2020)

GC-UNet: An Improved UNet Model for Mangrove Segmentation Using Landsat8. - Yichao Dong; Kun Yu; Wenxin Hu (BDE, 2021)

Domain Adaptation using NDWI index for Water-land Semantic Segmentation. - Cheng Gu; Wenxin Hu; Wei Zheng (BDE, 2021)

LGACN: A Light Graph Adaptive Convolution Network for Collaborative Filtering. - Weiguang Jiang; Su Wang 005; Jun Zheng; Wenxin Hu (ICANN (3), 2021)

LSTMVAEF: Vivid Layout via LSTM-Based Variational Autoencoder Framework. - Jie He; Xingjiao Wu; Wenxin Hu; Jing Yang 023 (ICDAR (2), 2021)

SSR: Explainable Session-based Recommendation. - Jiayi Chen 002; Wen Wu 006; Wenxin Hu; Wei Zheng; Liang He 001 (IJCNN, 2021)

Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images. - Xukun Zhang; Zhiming Cui; Changan Chen; Jie Wei; Jingjiao Lou; Wenxin Hu; He Zhang; Tao Zhou 002; Feng Shi 001; Dinggang Shen (MICCAI (3), 2021)

Attention Guided Filter for Jointly Extracting Entities and Classifying Relations. - Shaoze Chen; Su Wang; Wenxin Hu (SEKE, 2021)

Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform. - Wei Wang 011; Xuesong Lu; Bo Huang; Weining Qian; Cheqing Jin; Peng Pu; Wenxin Hu; Yao Liu 017; Aoying Zhou; Xuan Zhou 001 (TALE, 2021)

A hybrid deep generative neural model for financial report generation. - Yunpeng Ren; Wenxin Hu; Ziao Wang; Xiaofeng Zhang 002; Yiyuan Wang; Xuan Wang (Knowl. Based Syst., 2021)

A Fringe Phase Extraction Method Based on Neural Network. - Wenxin Hu; Hong Miao; Keyu Yan; Yu Fu 002 (Sensors, 2021)

A New Pattern Quality Assessment Criterion and Defocusing Degree Determination of Laser Speckle Correlation Method. - Wenxin Hu; Zhipeng Sheng; Keyu Yan; Hong Miao; Yu Fu 002 (Sensors, 2021)

Lattice based Ring Signature Scheme for Secure Cloud-based EMR Sharing. - Wenxin Hu; Yidan Chai; Xue Chen; Chao Zheng (ICCCS, 2022)

Knowledge-Enhanced Multi-task Learning for Course Recommendation. - Qimin Ban; Wen Wu 006; Wenxin Hu; Hui Lin; Wei Zheng; Liang He 001 (DASFAA (2), 2022)

A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling. - Ye Wang; Xinxin Liu; Wenxin Hu; Tao Zhang (EMNLP, 2022)

Denoising fMRI Message on Population Graph for Multi-site Disease Prediction. - Yanyu Lin; Jing Yang; Wenxin Hu (ICONIP (6), 2022)

Unexp-DIN: Unexpected Deep Interest Network for Recommendation. - Hongyang Zhou; Jiayi Chen 002; Wen Wu 006; Wenxin Hu; Wei Zheng; Liang He 001 (IJCNN, 2022)

MTN-Net: A Multi-Task Network for Detection and Segmentation of Thyroid Nodules in Ultrasound Images. - Leyao Chen; Wei Zheng; Wenxin Hu (KSEM (3), 2022)

Prediction of lymph node metastasis in CT based on multi-scale attention fully convolutional network. - Weiping He; Wenxin Hu; Kun Yu; Changquan Lu (SMC, 2022)

C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation. - Jiayi Chen 002; Wen Wu 006; Liye Shi; Yu Ji; Wenxin Hu; Xi Chen; Wei Zheng; Liang He 001 (CoRR, 2022)

SENGR: Sentiment-Enhanced Neural Graph Recommender. - Liye Shi; Wen Wu 006; Wang Guo; Wenxin Hu; Jiayi Chen 002; Wei Zheng; Liang He 001 (Inf. Sci., 2022)

DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender. - Liye Shi; Wen Wu 006; Wenxin Hu; Jie Zhou 015; Jiayi Chen 002; Wei Zheng; Liang He 001 (Knowl. Based Syst., 2022)

Multi-scale 2.5D Integrated Model for False Positive Reduction in Abdominal Lymph Node Detection. - Changquan Lu; Kun Yu; Xukun Zhang; Wenxin Hu (CNIOT, 2023)

Research on Prediction of Pan-Cancer Immune Checkpoint Blockade Based on Multi-Head Self-Attention Classification Model. - Huazheng Pan; Wenxin Hu; Wei Zheng; Taojun Jin (CNIOT, 2023)

A Two-stage Abdominal Lymph Node Detection Algorithm Based on Multi-scale 2.5D Input. - Junyi Le; Wenxin Hu; Kun Yu (ICPADS, 2023)

Unlocking the Potentials of Transcriptomics in Predicting Pan Cancer Immune Therapy Response: A Deep Learning Approach Using PHZNet. - Huazheng Pan; Kun Yu; Junyi Le; Wenxin Hu; Taojun Jin (TrustCom, 2023)

Detection and Localization of False Data Injection Attacks in Smart Grid Based on Joint Maximum a Posteriori-Maximum Likelihood. - Guoqing Zhang; Wengen Gao; Yunfei Li 007; Wenxin Hu; Pengfei Hu 005; Feng Hua (IEEE Access, 2023)

PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation. - Guangze Ye; Wen Wu 006; Liye Shi; Wenxin Hu; Xin Chen; Liang He 001 (CoRR, 2023)

Sparse Reconstruction of Sound Field Using Bayesian Compressive Sensing and Equivalent Source Method. - Yue Xiao; Lei Yuan; Junyu Wang; Wenxin Hu; Ruimin Sun (Sensors, 2023)

Real-time localization and 3D semantic map reconstruction for unstructured citrus orchards. - Juntao Xiong; Junhao Liang; Yanyun Zhuang; Dan Hong; Zhenhui Zheng; Shisheng Liao; Wenxin Hu; Zhen-Gang Yang (Comput. Electron. Agric., 2023)

SMAR: Summary-Aware Multi-Aspect Recommendation. - Liye Shi; Wen Wu 006; Jiayi Chen 002; Wenxin Hu; Wei Zheng; Xi Chen; Liang He 001 (Neurocomputing, 2023)

Personality-assisted mood modeling with historical reviews for sentiment classification. - Yu Ji; Wen Wu 006; Yi Hu; Xi Chen; Jiayi Chen 002; Wenxin Hu; Liang He 001 (Inf. Sci., 2023)

A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling. - Ye Wang; Huazheng Pan; Tao Zhang; Wen Wu 006; Wenxin Hu (AAAI, 2024)

Prognostic Survival Prediction of Patients with Liver Cirrhosis based on Radiomics Data and Clinical Features. - Lun Lin; Yinghui Jin; Wenxin Hu (CNIOT, 2024)

Build a 50+ Hours Chinese Mandarin Corpus for Children's Speech Recognition. - Hao Xu; Jing Yang; Jiahao Wang; Wenxin Hu (ICASSP, 2024)

Anomalous Sound Detection Framework Based on Masking Strategy. - Xiang Li; Caidan Zhao; Chenxing Gao; Wenxin Hu (ICIC (LNAI 6), 2024)

Enhancing Out-of-Distribution Generalization in VQA through Gini Impurity-guided Adaptive Margin Loss. - Shuwen Yang; Tianyu Huai; Anran Wu; Xingjiao Wu; Wenxin Hu; Liang He 001 (ICME, 2024)

KD-VSUM: A Vision Guided Models for Multimodal Abstractive Summarization with Knowledge Distillation. - Zehong Zheng; Changlong Li; Wenxin Hu; Su Wang (IJCNN, 2024)

Human Action Capture Method Based on Binocular Camera. - Yupeng Chen; Qilu Wu; Wenxin Hu (SmartIoT, 2024)

Neural Radiance Field with Composite Loss Function Supervision Mechanism. - Zhuohao Gong; Xurong Wang; Wenxin Hu; Qianqian Wang; Zixuan Shangguan (SmartIoT, 2024)

CF-ACV: Fast-ACV Based on Context and Geometry Fusion for Stereo Matching. - Xurong Wang; Zhuohao Gong; Wenxin Hu; Qianqian Wang; Zixuan Shangguan; Ziyuan Wen (SmartIoT, 2024)

A personality-guided preference aggregator for ephemeral group recommendation. - Guangze Ye; Wen Wu 006; Liye Shi; Wenxin Hu; Xi Chen; Liang He 001 (Appl. Soft Comput., 2024)

Can Large Language Models Recall Reference Location Like Humans? - Ye Wang; Xinrun Xu; Rui Xie 003; Wenxin Hu; Wei Ye 004 (CoRR, 2024)

Personality-driven experience storage and retrieval for sentiment classification. - Yu Ji; Wen Wu 006; Yi Hu; Xi Chen; Wenxin Hu; Liang He 001 (J. Supercomput., 2024)

Causal Feature Supervision Decoupling: A Novel Method for Clothes-Changing Person Re-identification Algorithm. - Wenxin Hu; Caidan Zhao; Chenxing Gao; Zhiqiang Wu 001 (ICASSP, 2025)

Open-set security authentication: A novel CAN-bus recognition algorithm based on metric learning. - Caidan Zhao; Wenxin Hu; Yilin Wang; Mingxian Shi (Comput. Electr. Eng., 2025)

Knowledge-aware modeling of group commonality for group recommendation. - Wen Wu 006; Guangze Ye; Hui Yu; Wenxin Hu; Xi Chen; Liang He 001 (Expert Syst. Appl., 2025)