Tasks Allocation for Real-Time Applications in Heterogeneous Sensor Networks for Energy Minimization. - Jinghua Zhu; Jianzhong Li 001; Hong Gao 001 (SNPD (2), 2007)

Clustering Frequent Graph Patterns. - Yong Liu 029; Jianzhong Li 001; Jinghua Zhu; Hong Gao 001 (J. Digit. Inf. Manag., 2007)

Energy Efficient and QoS-Aware Tasks Allocation for Sensor Networks. - Jinghua Zhu; Jianzhong Li 001; Hong Gao 001 (J. Digit. Inf. Manag., 2007)

C-kNN Query Processing in Object Tracking Sensor Networks. - Jinghua Zhu; Jianzhong Li 001; Jizhou Luo; Wei Zhang 017; Hongzhi Wang 001 (WASA, 2008)

Data Caching Based Queries in Multi-sink Sensor Networks. - Jinbao Li; Shouling Ji; Jinghua Zhu (MSN, 2009)

Mining Top-K Graph Patterns that Jointly Maximize Some Significance Measure. - Yong Liu 029; Jianzhong Li 001; Jinghua Zhu; Hong Gao 001 (J. Comput., 2010)

Opportunistic Routing in Multi-Power Wireless Sensor Networks. - Yahong Guo; Xiaohang Guo; Yanqing Zhang 009; Jinghua Zhu; Jinbao Li (CWSN, 2012)

Bayesian Network-Based Probabilistic XML Keywords Filtering. - Chenjing Zhang; Kun Yue; Jinghua Zhu; Xiaoling Wang 004; Aoying Zhou (DASFAA Workshops, 2012)

A Cache Based Multi-join Query Method with Two-Phase Processing in MANET. - Yahong Guo; Jinbao Li; Longjiang Guo; Jinghua Zhu; Xu Liu (WASA, 2012)

Estimation of the Number of Distinct Values over Data Stream Based on Compound Sliding Window. - Yingli Zhong; Jinghua Zhu; Meirui Ren; Yan Yang (J. Softw., 2013)

Predictive Nearest Neighbor Queries over Uncertain Spatial-Temporal Data. - Jinghua Zhu; Xue Wang; Yingshu Li (WASA, 2014)

Mobile Data Gathering with Time-Constraints in Wireless Sensor Networks. - Xuming Yin; Jinghua Zhu; Yingshu Li; Zhiqiang Wu (WASA, 2015)

Influence Equilibrium Problem Research Based on Common Interests in Mobile Social Network. - Jinbao Li; Yue Han; Jinghua Zhu (MSN, 2016)

Mobility-assisted big data collecting in wireless sensor networks. - Jinghua Zhu; Xuming Yin; Jingsi Bai; Yake Wang (Int. J. Distributed Sens. Networks, 2016)

Incremental Influence Maximization for Dynamic Social Networks. - Yake Wang; Jinghua Zhu; Qian Ming (ICPCSEE (2), 2017)

Structural Holes Theory-Based Influence Maximization in Social Network. - Jinghua Zhu; Xuming Yin; Yake Wang; Jinbao Li; Yingli Zhong; Yingshu Li (WASA, 2017)

A New Structure-Hole-Based Algorithm For Influence Maximization in Large Online Social Networks. - Jinghua Zhu; Yong Liu 029; Xuming Yin (IEEE Access, 2017)

Negative Influence Maximization in Social Networks. - Jinghua Zhu; Bochong Li; Yuekai Zhang; Yaqiong Li (ICPCSEE (1), 2018)

Trust-Distrust-Aware Point-of-Interest Recommendation in Location-Based Social Network. - Jinghua Zhu; Qian Ming; Yong Liu 029 (WASA, 2018)

Wireless Sensor Network Technology Based on Security Trust Evaluation Model. - Jinghua Zhu (Int. J. Online Eng., 2018)

A Distributed Big Data Discretization Algorithm Under Spark. - Yeung Chan; Xia Jie Zhang; Jinghua Zhu (Big Data (CCF), 2019)

Prediction Based Reverse Auction Incentive Mechanism for Mobile Crowdsensing System. - Zhen Wang; Jinghua Zhu; Doudou Li (COCOA, 2019)

Task Assignment Algorithm Based on Social Influence in Mobile Crowd Sensing System. - Anqi Lu; Jinghua Zhu (CWSN, 2019)

Attention Neural Network for User Behavior Modeling. - Kang Yang; Jinghua Zhu (ICPCSEE (1), 2019)

Interest-Forgetting Markov Model for Next-Basket Recommendation. - Jinghua Zhu; Xinxing Ma; Chenbo Yue; Chao Wang (ICPCSEE (1), 2019)

Target Market Optimal Coverage Algorithm Based on Heat Diffusion Model. - Jinghua Zhu; Yuekai Zhang; Bochong Li (ICPCSEE (2), 2019)

Knowledge-Aware Graph Collaborative Filtering for Recommender Systems. - Minghong Cai; Jinghua Zhu (MSN, 2019)

Prediction-Based Task Allocation in Mobile Crowdsensing. - Doudou Li; Jinghua Zhu; Yanchang Cui (MSN, 2019)

Trust-Aware Group Recommendation with Attention Mechanism in Social Network. - Jinghua Zhu; Zhichao Li; Chenbo Yue; Yong Liu 029 (MSN, 2019)

POI Recommendation Based on First-Order Collaborative Filtering Tree. - Jinghua Zhu; Shengchao Ma; Jinbao Li (MSN, 2019)

Hybrid Network Assisted Dynamic Worker Recruitment Algorithm. - Anqi Lu; Jinghua Zhu (SmartIoT, 2019)

Self-attention Based Collaborative Neural Network for Recommendation. - Shengchao Ma; Jinghua Zhu (WASA, 2019)

Deep Neural Model for Point-of-Interest Recommendation Fused with Graph Embedding Representation. - Jinghua Zhu; Xu Guo (WASA, 2019)

Next POI Recommendation via Graph Embedding Representation From H-Deepwalk on Hybrid Network. - Kang Yang; Jinghua Zhu (IEEE Access, 2019)

Friend and POI recommendation based on social trust cluster in location-based social networks. - Jinghua Zhu; Chao Wang; Xu Guo; Qian Ming; Jinbao Li; Yong Liu 029 (EURASIP J. Wirel. Commun. Netw., 2019)

基于用户向量化表示和注意力机制的深度神经网络推荐模型 (Deep Neural Network Recommendation Model Based on User Vectorization Representation and Attention Mechanism). - Xu Guo; Jinghua Zhu (计算机科学, 2019)

CP-Net: Channel Attention and Pixel Attention Network for Single Image Dehazing. - Shunan Gao; Jinghua Zhu; Yan Yang (ICPCSEE (1), 2020)

Multi-factor Fusion POI Recommendation Model. - Xinxing Ma; Jinghua Zhu; Shuo Zhang; Yingli Zhong (ICPCSEE (2), 2020)

POI Recommendations Using Self-attention Based on Side Information. - Chenbo Yue; Jinghua Zhu; Shuo Zhang; Xinxing Ma (ICPCSEE (2), 2020)

Attention and Graph Matching Network for Retrieval-Based Dialogue System with Domain Knowledge. - Xu Li; Jinghua Zhu (IJCNN, 2020)

Reliable Potential Friends Identification Based on Trust Circuit for Social Recommendation. - Shuo Zhang; Jinghua Zhu (WASA (1), 2020)

Worker recruitment with cost and time constraints in Mobile Crowd Sensing. - Anqi Lu; Jinghua Zhu (Future Gener. Comput. Syst., 2020)

PS-LSTM: Popularity Analysis And Social Network For Point-Of-Interest Recommendation In Previously Unvisited Locations. - Chongyu Zhong; Jinghua Zhu; Heran Xi (CNIOT, 2021)

Multi-Relational Hierarchical Attention for Top-k Recommendation. - Shiwen Yang; Jinghua Zhu; Heran Xi (ICA3PP (2), 2021)

Worker Recruitment Based on Edge-Cloud Collaboration in Mobile Crowdsensing System. - Jinghua Zhu; Yuanjing Li; Anqi Lu; Heran Xi (ICA3PP (2), 2021)

Context-Aware Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. - Jinghua Zhu; Dandan Yuan; Heran Xi (ICHMI, 2021)

Deep Recommendation Model Based on Local Attention and GRU. - Jinghua Zhu; Huafeng Hou; Heran Xi (ICIAI, 2021)

Attention-Based Encoder-Decoder Network For Single Image Dehazing. - Shunan Gao; Jinghua Zhu; Heran Xi (ICME Workshops, 2021)

Sequential Recommendation via Temporal Self-Attention and Multi-Preference Learning. - Wenchao Wang; Jinghua Zhu; Heran Xi (WASA (2), 2021)

Context-aware short-term interest first model for session-based recommendation. - Haomei Duan; Jinghua Zhu (CoRR, 2021)

Multi-View Attention Networks with Contrastive Predictive Coding for Sequential Recommendation. - Hongjun An; Jinghua Zhu; Heran Xi; Shiyang Zhou (HPCC/DSS/SmartCity/DependSys, 2022)

Heterogeneous Graph Based Long- And Short-Term Preference Learning Model for Next POI Recommendation. - Shiyang Zhou; Jinghua Zhu; Heran Xi; Hongjun An (ICA3PP, 2022)

Knowledge-Aware Self-supervised Graph Representation Learning for Recommendation. - Yeheng Sun; Jinghua Zhu; Heran Xi (ICANN (4), 2022)

A Collaborative Framework for Ad Click-Through Rate Prediction in Mobile App Services. - Xianjin Rong; Jinghua Zhu; Heran Xi (ICSOC, 2022)

SILK-BPR: Identify Implicit Friends with Self-guided Walking for Social Recommendation. - Zhiwei Zhou; Heran Xi; Jinghua Zhu (IJCNN, 2022)

Privacy-Aware Task Allocation Based on Deep Reinforcement Learning for Mobile Crowdsensing. - Mingchuan Yang; Jinghua Zhu; Heran Xi; Yue Yang (WASA (3), 2022)

Wasserstein Adversarial Variational Autoencoder for Sequential Recommendation. - Wenbiao Liu; Xianjin Rong; Yingli Zhong; Jinghua Zhu (APWeb/WAIM (4), 2023)

Privacy Protection Federated Learning Framework Based on Blockchain and Committee Consensus in IoT Devices. - Shuxin Zhang; Jinghua Zhu (COMPSAC, 2023)

Privacy Preserving Federated Learning Framework Based on Multi-chain Aggregation. - Yingchun Cui; Jinghua Zhu (DASFAA (1), 2023)

Knowledge Graph Transformer for Sequential Recommendation. - Jinghua Zhu; Yanchang Cui; Zhuohao Zhang; Heran Xi (ICANN (6), 2023)

Influence-Guided Data Augmentation in Graph Contrastive Learning for Recommendation. - Qi Zhang; Heran Xi; Jinghua Zhu (ICSOC (2), 2023)

Sparse Sequential Recommendation with Interactions and Intentions Contrastive Learning. - Hengxia Wang; Jinghua Zhu (IPCCC, 2023)

Real-Time Electric Vehicle Intelligent Charging Scheduling Strategy in Real Traffic Scenarios. - Yue Yang; Gang Pan; Jinghua Zhu (WoWMoM, 2023)

Short-term energy consumption prediction of electric vehicle charging station using attentional feature engineering and multi-sequence stacked Gated Recurrent Unit. - Jiafeng Zheng; Jinghua Zhu; Heran Xi (Comput. Electr. Eng., 2023)

Cross Pyramid Transformer makes U-net stronger in medical image segmentation. - Jinghua Zhu; Yue Sheng; Hui Cui 002; Jiquan Ma; Jijian Wang; Heran Xi (Biomed. Signal Process. Control., 2023)

An Enhanced MobileNet with Multi-scale Attention Aggregation for DR Classification. - Heran Xi; Hongxu Ji; Yang Hu; Jinbao Li; Jinghua Zhu (APWeb/WAIM (1), 2024)

MobileP2VT: Parallel Hybrid Structure makes Lightweight Network Stronger for Diabetic Retinopathy Classification. - Hongxu Ji; Jie Wu; Heran Xi; Jinghua Zhu (BIBM, 2024)

Causal Inference for Eliminating Popularity Bias in Session-based Recommendation. - Lin Li; Jinghua Zhu (CSCWD, 2024)

MChain-SFFL: Multi-Chain Aggregation Privacy Preserving for Server-Free Federated Learning. - Yingchun Cui; Jinghua Zhu (IEEE Trans. Netw. Serv. Manag., 2024)

Optimal Transport-Driven Federated Out-of-Distribution Detection in Heterogeneous Data. - Yuan He; Yingchun Cui; Zhengda Wu; Heran Xi; Jinghua Zhu (ICMR, 2025)

A Frequency-Based Approach for Federated Domain Generalization in Heterogeneous Medical Imaging. - Donghao Wang; Yingchun Cui; Zhengda Wu; Heran Xi; Jinghua Zhu (ICMR, 2025)

Out-of-Distribution Detection for Open-Set Semi-Supervised Medical Image Classification. - Jiawei Zhang; Yingchun Cui; Zhengda Wu; Heran Xi; Jinghua Zhu (ICMR, 2025)

Multi-preference Sequence Recommendation Transformer. - Xinyu Zheng; Mingyang Li; Yuan He; Jiawei Zhang; Jinghua Zhu (WASA (2), 2025)

FLAV: Federated Learning for Autonomous Vehicle privacy protection. - Yingchun Cui; Jinghua Zhu; Jinbao Li (Ad Hoc Networks, 2025)

Treasure in the background: Improve saliency object detection by self-supervised contrast learning. - Haoji Dong; Jie Wu; Chengcheng Xing; Heran Xi; Hui Cui 002; Jinghua Zhu (Expert Syst. Appl., 2025)

DKD-pFed: A novel framework for personalized federated learning via decoupling knowledge distillation and feature decorrelation. - Liwei Su; Donghao Wang; Jinghua Zhu (Expert Syst. Appl., 2025)

Multi-scale graph harmonies: Unleashing U-Net's potential for medical image segmentation through contrastive learning. - Jie Wu; Jiquan Ma; Heran Xi; Jinbao Li; Jinghua Zhu (Neural Networks, 2025)

CCA: Contrastive cluster assignment for supervised and semi-supervised medical image segmentation. - Jinghua Zhu; Chengying Huang; Heran Xi; Hui Cui 002 (Neural Networks, 2025)

kMaXU: Medical image segmentation U-Net with k-means Mask Transformer and contrastive cluster assignment. - Chengying Huang; Zhengda Wu; Heran Xi; Jinghua Zhu (Pattern Recognit., 2025)