Associating Labels and Elements of Deep Web Query Interface Based on DOM. - Baohua Qiang; Long Shi; Chunming Wu 004; Qian He; Chao Shen (WISM, 2012)

Online Social Network Evolving Model Based on Damping Factor. - Guoyong Cai; Ruili Wang; Baohua Qiang (ICCS, 2012)

An Optimized Tag Recommender Algorithm in Folksonomy. - Jie Chen; Baohua Qiang; Yaoguang Wang; Peng Wang; Jun Huang (IIP, 2014)

Research on Deep Web Query Interface Clustering Based on Hadoop. - Baohua Qiang; Rui Zhang; Yufeng Wang 011; Qian He; Wei Li; Sai Wang (J. Softw., 2014)

一种基于软集和多属性综合的软件漏洞发现方法 (Method for Software Vulnerability Discovery Based on Soft Set and Multi-attribute Comprehensiveness). - Chenghua Tang; Jilong Tian; Lu Wang; Lina Wang; Baohua Qiang (计算机科学, 2015)

基于语义相似度的静态安全策略一致性检测 (Static Security Policy Consistency Detection Based on Semantic Similarity). - Chenghua Tang; Lina Wang; Baohua Qiang; Shensheng Tang; Xin Zhang (计算机科学, 2015)

基于JBPM的服务动态编排及迁移方案 (Dynamic Service Scheduling and Migration Scenarios Based on JBPM). - Yong Wang; Jingbo Chang; Baohua Qiang; Yufeng Wang 011; Xueqing Zhang (计算机科学, 2015)

Internet traffic classification based on Min-Max Ensemble Feature Selection. - Yinxiang Huang; Yun Li 009; Baohua Qiang (IJCNN, 2016)

P2P Traffic Optimization based on Congestion Distance and DHT. - Qian He; Qinghe Dong; Baokang Zhao; Yong Wang; Baohua Qiang (J. Internet Serv. Inf. Secur., 2016)

基于QoS和多级索引的Web服务发布订阅 (QoS and Multilevel Index Based Web Service Publish/Subscribe). - Qian He; Jia Li; Qiwei Hu; Baohua Qiang (计算机科学, 2016)

一种跨域网络资源的安全互操作模型 (Security Interoperation Model of Cross-domain Network Resources). - Chenghua Tang; Xin Zhang; Lu Wang; Yu Wang 017; Baohua Qiang (计算机科学, 2016)

Detection and classification of anomaly intrusion using hierarchy clustering and SVM. - Chenghua Tang; Yang Xiang 001; Yu Wang 017; Junyan Qian; Baohua Qiang (Secur. Commun. Networks, 2016)

Min-Max Ensemble Feature Selection. - Wei Ji; Yixiang Huang; Baohua Qiang; Yun Li 009 (J. Intell. Fuzzy Syst., 2017)

基于线性回归和属性集成的分类算法 (Classification Algorithm Using Linear Regression and Attribute Ensemble). - Baohua Qiang; Bo Tang; Yufeng Wang 011; Xianchun Zou; Zhengli Liu; Zhongxu Sun; Wu Xie (计算机科学, 2017)

Image Retrieval Using Inception Structure with Hash Layer for Intelligent Monitoring Platform. - Baohua Qiang; Xina Shi; Yufeng Wang 011; Zhi Xu 005; Wu Xie; Xianjun Chen; Xingchao Zhao; Xukang Zhou (GPC, 2018)

Accurate Hand Detection Method for Noisy Environments. - Hang Pan 005; Qingjie Zhu; Renjun Tang; Jinlong Chen; Xianjun Chen; Baohua Qiang; Minghao Yang (ICCCS (6), 2018)

Architecture and Parameter Analysis to Convolutional Neural Network for Hand Tracking. - Hui Zhou; Minghao Yang; Hang Pan 005; Renjun Tang; Baohua Qiang; Jinlong Chen; Jianhua Tao 001 (ICCCS (6), 2018)

SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval. - Dong-dong Niu; Yong Feng 002; Jiaxing Shang; Baohua Qiang (ICONIP (6), 2018)

Wasserstein Generative Recurrent Adversarial Networks for Image Generating. - Chunping Zhang; Yong Feng 002; Baohua Qiang; Jiaxing Shang (ICPR, 2018)

LAIM: A Linear Time Iterative Approach for Efficient Influence Maximization in Large-Scale Networks. - Hongchun Wu; Jiaxing Shang; Shangbo Zhou; Yong Feng 002; Baohua Qiang; Wu Xie (IEEE Access, 2018)

A Novel Recommendation Algorithm Incorporating Temporal Dynamics, Reviews and Item Correlation. - Ting Wu 012; Yong Feng 002; Jiaxing Sang; Baohua Qiang; Yanan Wang (IEICE Trans. Inf. Syst., 2018)

Service Composition based on Improved Genetic Algorithm and analytical Hierarchy Process. - Baohua Qiang; Zhengli Liu; Yufeng Wang 011; Wu Xie; Xina Shi; Zhengjian Zhao (Int. J. Robotics Autom., 2018)

Large-scale Multi-label Image Retrieval Using Residual Network with Hash Layer. - Baohua Qiang; Pei-lei Wang; Shuiping Guo; Zhi Xu 005; Wu Xie; Jinlong Chen; Xianjun Chen (ICACI, 2019)

Cross-modal Retrieval Based on Stacked Bimodal Auto-Encoder. - Baohua Qiang; Tian Zhao; Yufeng Wang 011; Lin Tao; Wu Xie; Hong Zheng; Xianjun Chen (ICACI, 2019)

Research on Pedestrian Re-Identification Using CNN Feature and Pedestrian Combination Attribute. - Mengke Jiang; Jinlong Chen; Baohua Qiang (ICPCSEE (2), 2019)

CoxRF: Employee Turnover Prediction Based on Survival Analysis. - Qianwen Zhu; Jiaxing Shang; Xinjun Cai; Linli Jiang; Feiyi Liu; Baohua Qiang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

TDCTFIC: A Novel Recommendation Framework Fusing Temporal Dynamics, CNN-Based Text Features and Item Correlation. - Meng Ting Xiong; Yong Feng 002; Ting Wu 012; Jiaxing Shang; Baohua Qiang; Yanan Wang (IEICE Trans. Inf. Syst., 2019)

An Improved spectral Clustering Algorithm for Large-Scale wind farm Power Prediction. - Baohua Qiang; Tian Zhao; Wu Xie; Hong Zheng; Haoning Sun; Jinlong Chen (Int. J. Robotics Autom., 2019)

Improved Convolutional Pose Machines for Human Pose Estimation Using Image Sensor Data. - Baohua Qiang; Shihao Zhang; Yongsong Zhan; Wu Xie; Tian Zhao (Sensors, 2019)

Image Clipping Strategy of Object Detection for Super Resolution Image in Low Resource Environment. - Lei Huang; Xiaokai Zhang; Baohua Qiang; Jinlong Chen; Hongbo Yang; Minghao Yang (ICCSIP, 2020)

ITDT: An Iterative Decision Tree-based Approach for Telecom Customer Classification. - Jiaxing Shang; Ziwei Jin; Yong Feng 002; Ran Wei; Baohua Qiang; Wu Xie (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Relationship-Aware Hard Negative Generation in Deep Metric Learning. - Jiaqi Huang; Yong Feng 002; Mingliang Zhou 001; Baohua Qiang (KSEM (2), 2020)

RFRSF: Employee Turnover Prediction Based on Random Forests and Survival Analysis. - Ziwei Jin; Jiaxing Shang; Qianwen Zhu; Chen Ling; Wu Xie; Baohua Qiang (WISE (2), 2020)

A Deep Sequence-to-Sequence Method for Aircraft Landing Speed Prediction Based on QAR Data. - Zongwei Kang; Jiaxing Shang; Yong Feng 002; Linjiang Zheng; Dajiang Liu; Baohua Qiang; Ran Wei (WISE (2), 2020)

DBGE: Employee Turnover Prediction Based on Dynamic Bipartite Graph Embedding. - Xinjun Cai; Jiaxing Shang; Ziwei Jin; Feiyi Liu; Baohua Qiang; Wu Xie; Liang Zhao 004 (IEEE Access, 2020)

Attention-Aware Joint Location Constraint Hashing for Multi-Label Image Retrieval. - Yingqi Zhang; Yong Feng 002; Jiaxing Shang; Mingliang Zhou 001; Baohua Qiang (IEEE Access, 2020)

FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval. - Yiyang Zhang; Yong Feng 002; Dajiang Liu; Jiaxing Shang; Baohua Qiang (Appl. Intell., 2020)

Adversarial Metric Learning with Naive Similarity Discriminator. - Yi-Ze Le; Yong Feng 002; Dajiang Liu; Baohua Qiang (IEICE Trans. Inf. Syst., 2020)

DSRPH: Deep semantic-aware ranking preserving hashing for efficient multi-label image retrieval. - Yiming Shen; Yong Feng 002; Bin Fang 001; Mingliang Zhou 001; Sam Kwong; Baohua Qiang (Inf. Sci., 2020)

Convolutional Neural Networks-Based Object Detection Algorithm by Jointing Semantic Segmentation for Images. - Baohua Qiang; Ruidong Chen; Mingliang Zhou 001; Yuanchao Pang; Yijie Zhai; Minghao Yang (Sensors, 2020)

A Feature Selection-Based XGBoost Model for Fault Prediction. - Ran Duan; You Li; Baohua Qiang; Laixin Zhou (CIS, 2021)

Drawing Order Recovery from Trajectory Components. - Minghao Yang; Xukang Zhou; Yangchang Sun; Jinglong Chen; Baohua Qiang (ICASSP, 2021)

Deep Adversarial Quantization Network for Cross-Modal Retrieval. - Yu Zhou; Yong Feng 002; Mingliang Zhou 001; Baohua Qiang; Leong Hou U; Jiajie Zhu 001 (ICASSP, 2021)

Distribution-Aware Hierarchical Weighting Method for Deep Metric Learning. - Yinong Zhu; Yong Feng 002; Mingliang Zhou 001; Baohua Qiang; Leong Hou U; Jiajie Zhu 001 (ICASSP, 2021)

HDMacBERT-FGM-CRF Model-Based Chinese Event Element Extraction. - Peng Chen; Baohua Qiang; Yufeng Wang 011; Chen Wang; Ruidong Chen; Baolian Li; Bo Peng; Xiangyu Zhou (ICGEC, 2021)

Zhuang Characteristic Culture Detection Based on Improved YOLOV3-SPP Network. - Shu Guo; Baohua Qiang; Wu Xie; Yijie Zhai; Ruidong Chen; Hong Zheng (ICGEC, 2021)

Fusion Structure-based Fault State Prediction of Wind Turbine Spindle. - Baohua Qiang; Wenqiang Yin; Xiaoling Tao; Longge Li; Baolian Li; Bo Peng; Yufeng Wang 011 (ICGEC, 2021)

Abstractive Sentences Summarization Model Combining Entity Information and Bidirectional Decoding. - Chen Wang; Baohua Qiang; Bo Peng; Peng Chen; Ruidong Chen; Hong Zheng; Yufeng Wang 011 (ICGEC, 2021)

Fast Organization of Objects' Spatial Positions in Manipulator Space from Single RGB-D Camera. - Yangchang Sun; Minghao Yang; Jialing Li; Baohua Qiang; Jinlong Chen; Qingyu Jia (ICONIP (3), 2021)

A Scan-to-Locality Map Strategy for 2D LiDAR and RGB-D Data Fusion. - Jiaqing Zhang; Minghao Yang; Yuanhao Qu; Jinlong Chen; Baohua Qiang; Hong Shi (ICONIP (6), 2021)

BaCIM: Balanced Competitive Influence Maximization based on Blocked Reverse Influence Sampling. - Shuang Gao; Wu Xie; Jiaxing Shang; Dajiang Liu; Baohua Qiang (MDM, 2021)

Accepted Influence Maximization under Linear Threshold Model on Large-Scale Social Networks. - Xiaojuan Yang; Jiaxing Shang; Linjiang Zheng; Dajiang Liu; Shu Fu; Baohua Qiang (TrustCom, 2021)

SqueezeNet and Fusion Network-Based Accurate Fast Fully Convolutional Network for Hand Detection and Gesture Recognition. - Baohua Qiang; Yijie Zhai; Mingliang Zhou 001; Xianyi Yang; Bo Peng; Yufeng Wang 011; Yuanchao Pang (IEEE Access, 2021)

Gated recurrent unit-based parallel network traffic anomaly detection using subagging ensembles. - Xiaoling Tao; Yang Peng; Feng Zhao 002; Changsong Yang; Baohua Qiang; Yufeng Wang 011; Zuobin Xiong (Ad Hoc Networks, 2021)

Semantic ranking structure preserving for cross-modal retrieval. - Hui Liu; Yong Feng 002; Mingliang Zhou 001; Baohua Qiang (Appl. Intell., 2021)

A multiion particle swarm optimization algorithm based on repellent and attraction forces. - Shufang Zhu 002; Shangbo Zhou; Jiaxing Shang; Limin Wang; Baohua Qiang (Concurr. Comput. Pract. Exp., 2021)

Prototype-Based Discriminative Feature Representation for Class-incremental Cross-modal Retrieval. - Shaoquan Zhu; Yong Feng 002; Mingliang Zhou 001; Baohua Qiang; Bin Fang 001; Ran Wei (Int. J. Pattern Recognit. Artif. Intell., 2021)

Deep unsupervised learning based on color un-referenced loss functions for multi-exposure image fusion. - Ying Qi; Shangbo Zhou; Zihan Zhang; Shuyue Luo; Xiaoran Lin; Liping Wang; Baohua Qiang (Inf. Fusion, 2021)

Receptive Field Fusion RetinaNet for Object Detection. - He Huang; Yong Feng 002; Mingliang Zhou 001; Baohua Qiang; Jielu Yan; Ran Wei (J. Circuits Syst. Comput., 2021)

Hybrid Deep Neural Network-Based Cross-Modal Image and Text Retrieval Method for Large-Scale Data. - Baohua Qiang; Ruidong Chen; Yuan Xie 008; Mingliang Zhou 001; Riwei Pan; Tian Zhao (J. Circuits Syst. Comput., 2021)

Real-Time 3D Reconstruction Method Based on Monocular Vision. - Qingyu Jia; Liang Chang 003; Baohua Qiang; Shihao Zhang; Wu Xie; Xianyi Yang; Yangchang Sun; Minghao Yang (Sensors, 2021)

An Outline of Multi-Sensor Fusion Methods for Mobile Agents Indoor Navigation. - Yuanhao Qu; Minghao Yang; Jiaqing Zhang; Wu Xie; Baohua Qiang; Jinlong Chen (Sensors, 2021)

Attention Mechanism-Based CNN-LSTM Model for Wind Turbine Fault Prediction Using SSN Ontology Annotation. - Yuan Xie 008; Jisheng Zhao; Baohua Qiang; Luzhong Mi; Chenghua Tang; Longge Li (Wirel. Commun. Mob. Comput., 2021)

Object Detection Algorithm Based on Coordinate Attention and Context Feature Enhancement. - Lingzhi Liu; Baohua Qiang; Yuanchun Wang; Xianyi Yang; Jubo Tian; Shihao Zhang (ICCPR, 2022)

Semantic Maximum Relevance and Modal Alignment for Cross-Modal Retrieval. - Pingping Sun; Baohua Qiang; Zhiguang Liu; Xianyi Yang; Guangyong Xi; Weigang Liu; Ruidong Chen; Shihao Zhang (ICCPR, 2022)

ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning. - Chen Ling; Xianren Zhang; Jiaxing Shang; Dajiang Liu; Yong Li; Wu Xie; Baohua Qiang (KSEM (1), 2022)

Malicious Family Identify Combining Multi-channel Mapping Feature Image and Fine-Tuned CNN. - Chenghua Tang; Chen Zhou; Min Hu; Mengmeng Yang 002; Baohua Qiang (TrustCom, 2022)

3D Grasp Pose Generation from 2D Anchors and Local Surface. - Hao Xu 024; Yangchang Sun; Qi Sun; Minghao Yang; Jinlong Chen; Baohua Qiang; Jinghong Wang (VRCAI, 2022)

Deep Hashing Multi-Label Image Retrieval with Attention Mechanism. - Wu Xie; Mengyin Cui; Manyi Liu; Pei-lei Wang; Baohua Qiang (Int. J. Robotics Autom., 2022)

IM2Vec: Representation learning-based preference maximization in geo-social networks. - Ziwei Jin; Jiaxing Shang; Wancheng Ni; Liang Zhao 004; Dajiang Liu; Baohua Qiang; Wu Xie; Geyong Min (Inf. Sci., 2022)

Clustering-Based Semi-Supervised Cross-Modal Retrieval Using Scene Graph. - Yixue Kong; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (J. Circuits Syst. Comput., 2022)

Joint Robust Representation And Generalization Enhancement For Cross-Modality Person Re-Identification. - Heqing Cheng; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (ICASSP, 2023)

Multi-perspective Text Matching Algorithm Based on Multi-granularity Feature Convolution. - Baohua Qiang; Zhiwen Guo; Guangyong Xi; Shuiping Guo; Yufeng Wang 011; Xianyi Yang; Yuemeng Wang (ICCPR, 2023)

Semantic Matching Algorithm for Legal Issues Based on BERT and Graph Convolution with Multi-granularity Features. - Baohua Qiang; Shijie Pang; Keliang Teng; Zhiguang Liu; Weigang Liu (ICCPR, 2023)

Chinese Event Extraction Algorithm of Multi-Information Semantic Enhancements. - Baohua Qiang; Feng Tang; Xiangyu Zhou; Yuanchun Wang; Xianyi Yang; Kai Li (ICCPR, 2023)

Digital Twin Driven Measurement in Robotic Flexible Printed Circuit Assembly. - Minghao Yang; Zhenping Huang; Yangchang Sun; Yongjia Zhao; Ruize Sun; Qi Sun; Jinlong Chen; Baohua Qiang; Jinghong Wang; Fuchun Sun 001 (IEEE Trans. Instrum. Meas., 2023)

Knowledge Distillation for Lightweight 2D Single-Person Pose Estimation. - Shihao Zhang; Baohua Qiang; Xianyi Yang; Mingliang Zhou 001; Ruidong Chen (J. Circuits Syst. Comput., 2023)

Multi-modal transformer using two-level visual features for fake news detection. - Bin Wang; Yong Feng 002; Xiancai Xiong; Yongheng Wang; Baohua Qiang (Appl. Intell., 2023)

Improve Session-Based Recommendation with Triplet Mining and Dynamic Perturbations Graph Neural Networks. - Jiayi Zhu; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Yu Xia; Baohua Qiang; Qin Mao; Bin Fang 001 (Int. J. Pattern Recognit. Artif. Intell., 2023)

Android static taint analysis based on multi branch search association. - Chenghua Tang; Zheng Du; Mengmeng Yang 002; Baohua Qiang (Comput. Secur., 2023)

Multi-level network based on transformer encoder for fine-grained image-text matching. - Lei Yang; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (Multim. Syst., 2023)

Multilevel Similarity-Aware Deep Metric Learning for Fine-Grained Image Retrieval. - Congcong Duan; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang; Weijia Jia 001 (IEEE Trans. Ind. Informatics, 2023)

A Jointly Guided Deep Network for Fine-Grained Cross-Modal Remote Sensing Text-Image Retrieval. - Lei Yang; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (J. Circuits Syst. Comput., 2023)

TIAR: Text-Image-Audio Retrieval with weighted multimodal re-ranking. - Peide Chi; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (Appl. Intell., 2023)

Delivery of pollen to forsythia flower pistils autonomously and precisely using a robot arm. - Minghao Yang; Hongchang Lyu; Yongjia Zhao; Yangchang Sun; Hang Pan 005; Qi Sun; Jinlong Chen; Baohua Qiang; Hongbo Yang (Comput. Electron. Agric., 2023)

Malicious program ontology rule set based on association decision and linear discriminant. - Chenghua Tang; Min Hu; Mengmeng Yang 002; Baohua Qiang (Int. J. Electron. Secur. Digit. Forensics, 2024)

PBDG: a malicious code detection method based on precise behaviour dependency graph. - Chenghua Tang; Mengmeng Yang 002; Qingze Gao; Baohua Qiang (Int. J. Inf. Comput. Secur., 2024)

An Adversarial and Deep Hashing-based Hierarchical Supervised Cross-Modal Image and Text Retrieval Algorithm. - Ruidong Chen; Baohua Qiang; Mingliang Zhou 001; Shihao Zhang; Hong Zheng; Chenghua Tang (Int. J. Robotics Autom., 2024)

Deep Multiscale Fine-Grained Hashing for Remote Sensing Cross-Modal Retrieval. - Jiaxiang Huang; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (IEEE Geosci. Remote. Sens. Lett., 2024)

A Generic Multicorrespondence Matching Framework for Reference-Based Image Super-Resolution. - Hong Zheng; Huabin Heng; Zhiqiang Yan; Kun Zeng; Jinsheng Fang; Baohua Qiang (IEEE Trans. Instrum. Meas., 2024)

DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images. - Ya-ling Li; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (Vis. Comput., 2024)

DTSFNet: A Lightweight Network Based on Dynamic Sampling and Scale Sequence Fusion for Aerial Image Object Detection. - Yanting Liao; Yong Feng 002; Yanying Chen; Guofan Duan; Baohua Qiang; Zhangli Lan; Ke Wang; Lai Zou; Huayan Pu; Jun Luo 006; Mingliang Zhou 001 (J. Circuits Syst. Comput., 2025)

Manifold and patch-based unsupervised deep metric learning for fine-grained image retrieval. - Shi-hao Yuan; Yong Feng 002; Agen Qiu; Guofan Duan; Mingliang Zhou 001; Baohua Qiang; Yong-heng Wang (Appl. Intell., 2025)

Linear self-attention with multi-relational graph for knowledge graph completion. - Weida Liu; Baohua Qiang; Ruidong Chen; Yuan Xie 008; Lirui Chen; Zhiqin Chen (Appl. Intell., 2025)