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ORCIDJinghua Zhu
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2020 – today
- 2025
[j16]Yingchun Cui
, Jinghua Zhu, Jinbao Li:
FLAV: Federated Learning for Autonomous Vehicle privacy protection. Ad Hoc Networks 166: 103685 (2025)- [j15]Liwei Su, Donghao Wang, Jinghua Zhu:
DKD-pFed: A novel framework for personalized federated learning via decoupling knowledge distillation and feature decorrelation. Expert Syst. Appl. 259: 125336 (2025) - 2024
- [j14]Yingchun Cui, Jinghua Zhu:
MChain-SFFL: Multi-Chain Aggregation Privacy Preserving for Server-Free Federated Learning. IEEE Trans. Netw. Serv. Manag. 21(4): 4861-4870 (2024) - [c52]Heran Xi, Hongxu Ji, Yang Hu, Jinbao Li, Jinghua Zhu:
An Enhanced MobileNet with Multi-scale Attention Aggregation for DR Classification. APWeb/WAIM (1) 2024: 376-390 - [c51]Lin Li, Jinghua Zhu:
Causal Inference for Eliminating Popularity Bias in Session-based Recommendation. CSCWD 2024: 1298-1303 - 2023
- [j13]Jinghua Zhu, Yue Sheng, Hui Cui, Jiquan Ma, Jijian Wang, Heran Xi:
Cross Pyramid Transformer makes U-net stronger in medical image segmentation. Biomed. Signal Process. Control. 86(Part C): 105361 (2023) - [j12]Jiafeng Zheng, Jinghua Zhu, Heran Xi:
Short-term energy consumption prediction of electric vehicle charging station using attentional feature engineering and multi-sequence stacked Gated Recurrent Unit. Comput. Electr. Eng. 108: 108694 (2023) - [c50]Wenbiao Liu, Xianjin Rong, Yingli Zhong, Jinghua Zhu:
Wasserstein Adversarial Variational Autoencoder for Sequential Recommendation. APWeb/WAIM (4) 2023: 375-389 - [c49]Shuxin Zhang, Jinghua Zhu:
Privacy Protection Federated Learning Framework Based on Blockchain and Committee Consensus in IoT Devices. COMPSAC 2023: 627-636 - [c48]Yingchun Cui, Jinghua Zhu:
Privacy Preserving Federated Learning Framework Based on Multi-chain Aggregation. DASFAA (1) 2023: 693-702 - [c47]Jinghua Zhu, Yanchang Cui, Zhuohao Zhang, Heran Xi:
Knowledge Graph Transformer for Sequential Recommendation. ICANN (6) 2023: 459-471 - [c46]Qi Zhang, Heran Xi, Jinghua Zhu:
Influence-Guided Data Augmentation in Graph Contrastive Learning for Recommendation. ICSOC (2) 2023: 91-99 - [c45]Yue Yang, Gang Pan, Jinghua Zhu:
Real-Time Electric Vehicle Intelligent Charging Scheduling Strategy in Real Traffic Scenarios. WoWMoM 2023: 271-280 - 2022
- [c44]Hongjun An, Jinghua Zhu, Heran Xi, Shiyang Zhou:
Multi-View Attention Networks with Contrastive Predictive Coding for Sequential Recommendation. HPCC/DSS/SmartCity/DependSys 2022: 717-724 - [c43]Shiyang Zhou, Jinghua Zhu, Heran Xi, Hongjun An:
Heterogeneous Graph Based Long- And Short-Term Preference Learning Model for Next POI Recommendation. ICA3PP 2022: 455-470 - [c42]Yeheng Sun, Jinghua Zhu, Heran Xi:
Knowledge-Aware Self-supervised Graph Representation Learning for Recommendation. ICANN (4) 2022: 420-432 - [c41]Xianjin Rong, Jinghua Zhu, Heran Xi:
A Collaborative Framework for Ad Click-Through Rate Prediction in Mobile App Services. ICSOC 2022: 567-574 - [c40]Zhiwei Zhou, Heran Xi, Jinghua Zhu:
SILK-BPR: Identify Implicit Friends with Self-guided Walking for Social Recommendation. IJCNN 2022: 1-7 - [c39]Mingchuan Yang, Jinghua Zhu, Heran Xi, Yue Yang:
Privacy-Aware Task Allocation Based on Deep Reinforcement Learning for Mobile Crowdsensing. WASA (3) 2022: 191-201 - 2021
- [c38]Chongyu Zhong, Jinghua Zhu, Heran Xi:
PS-LSTM: Popularity Analysis And Social Network For Point-Of-Interest Recommendation In Previously Unvisited Locations. CNIOT 2021: 28:1-28:6 - [c37]Shiwen Yang, Jinghua Zhu, Heran Xi:
Multi-Relational Hierarchical Attention for Top-k Recommendation. ICA3PP (2) 2021: 300-313 - [c36]Jinghua Zhu, Yuanjing Li, Anqi Lu, Heran Xi:
Worker Recruitment Based on Edge-Cloud Collaboration in Mobile Crowdsensing System. ICA3PP (2) 2021: 406-420 - [c35]Jinghua Zhu, Dandan Yuan, Heran Xi:
Context-Aware Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. ICHMI 2021: 23-28 - [c34]Jinghua Zhu, Huafeng Hou, Heran Xi:
Deep Recommendation Model Based on Local Attention and GRU. ICIAI 2021: 177-183 - [c33]Shunan Gao, Jinghua Zhu, Heran Xi:
Attention-Based Encoder-Decoder Network For Single Image Dehazing. ICME Workshops 2021: 1-6 - [c32]Wenchao Wang, Jinghua Zhu, Heran Xi:
Sequential Recommendation via Temporal Self-Attention and Multi-Preference Learning. WASA (2) 2021: 18-30 - [i1]Haomei Duan, Jinghua Zhu:
Context-aware short-term interest first model for session-based recommendation. CoRR abs/2103.15514 (2021) - 2020
- [j11]Anqi Lu, Jinghua Zhu:
Worker recruitment with cost and time constraints in Mobile Crowd Sensing. Future Gener. Comput. Syst. 112: 819-831 (2020) - [c31]Xinxing Ma, Jinghua Zhu, Shuo Zhang, Yingli Zhong:
Multi-factor Fusion POI Recommendation Model. ICPCSEE (2) 2020: 21-35 - [c30]Chenbo Yue, Jinghua Zhu, Shuo Zhang, Xinxing Ma:
POI Recommendations Using Self-attention Based on Side Information. ICPCSEE (2) 2020: 62-76 - [c29]Shunan Gao, Jinghua Zhu, Yan Yang:
CP-Net: Channel Attention and Pixel Attention Network for Single Image Dehazing. ICPCSEE (1) 2020: 577-590 - [c28]Xu Li, Jinghua Zhu:
Attention and Graph Matching Network for Retrieval-Based Dialogue System with Domain Knowledge. IJCNN 2020: 1-7 - [c27]Shuo Zhang, Jinghua Zhu:
Reliable Potential Friends Identification Based on Trust Circuit for Social Recommendation. WASA (1) 2020: 716-729
2010 – 2019
- 2019
- [j10]Kang Yang, Jinghua Zhu:
Next POI Recommendation via Graph Embedding Representation From H-Deepwalk on Hybrid Network. IEEE Access 7: 171105-171113 (2019) - [j9]Jinghua Zhu, Chao Wang, Xu Guo, Qian Ming, Jinbao Li, Yong Liu:
Friend and POI recommendation based on social trust cluster in location-based social networks. EURASIP J. Wirel. Commun. Netw. 2019: 89 (2019) - [j8]Xu Guo, Jinghua Zhu:
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). 计算机科学 46(8): 111-115 (2019) - [c26]Yeung Chan, Xia Jie Zhang, Jinghua Zhu:
A Distributed Big Data Discretization Algorithm Under Spark. Big Data (CCF) 2019: 107-119 - [c25]Zhen Wang, Jinghua Zhu, Doudou Li:
Prediction Based Reverse Auction Incentive Mechanism for Mobile Crowdsensing System. COCOA 2019: 541-552 - [c24]Anqi Lu, Jinghua Zhu:
Task Assignment Algorithm Based on Social Influence in Mobile Crowd Sensing System. CWSN 2019: 154-168 - [c23]Jinghua Zhu, Xinxing Ma, Chenbo Yue, Chao Wang:
Interest-Forgetting Markov Model for Next-Basket Recommendation. ICPCSEE (1) 2019: 20-31 - [c22]Kang Yang, Jinghua Zhu:
Attention Neural Network for User Behavior Modeling. ICPCSEE (1) 2019: 32-41 - [c21]Jinghua Zhu, Yuekai Zhang, Bochong Li:
Target Market Optimal Coverage Algorithm Based on Heat Diffusion Model. ICPCSEE (2) 2019: 499-510 - [c20]Minghong Cai, Jinghua Zhu:
Knowledge-Aware Graph Collaborative Filtering for Recommender Systems. MSN 2019: 7-12 - [c19]Doudou Li, Jinghua Zhu, Yanchang Cui:
Prediction-Based Task Allocation in Mobile Crowdsensing. MSN 2019: 89-94 - [c18]Jinghua Zhu, Shengchao Ma, Jinbao Li:
POI Recommendation Based on First-Order Collaborative Filtering Tree. MSN 2019: 265-270 - [c17]Jinghua Zhu, Zhichao Li, Chenbo Yue, Yong Liu:
Trust-Aware Group Recommendation with Attention Mechanism in Social Network. MSN 2019: 271-276 - [c16]Anqi Lu, Jinghua Zhu:
Hybrid Network Assisted Dynamic Worker Recruitment Algorithm. SmartIoT 2019: 254-261 - [c15]Shengchao Ma, Jinghua Zhu:
Self-attention Based Collaborative Neural Network for Recommendation. WASA 2019: 235-246 - [c14]Jinghua Zhu, Xu Guo:
Deep Neural Model for Point-of-Interest Recommendation Fused with Graph Embedding Representation. WASA 2019: 495-506 - 2018
- [j7]Jinghua Zhu:
Wireless Sensor Network Technology Based on Security Trust Evaluation Model. Int. J. Online Eng. 14(4): 211-226 (2018) - [c13]Jinghua Zhu, Bochong Li, Yuekai Zhang, Yaqiong Li:
Negative Influence Maximization in Social Networks. ICPCSEE (1) 2018: 298-307 - [c12]Jinghua Zhu, Qian Ming, Yong Liu:
Trust-Distrust-Aware Point-of-Interest Recommendation in Location-Based Social Network. WASA 2018: 709-719 - 2017
- [j6]Jinghua Zhu, Yong Liu, Xuming Yin:
A New Structure-Hole-Based Algorithm For Influence Maximization in Large Online Social Networks. IEEE Access 5: 23405-23412 (2017) - [c11]Yake Wang, Jinghua Zhu, Qian Ming:
Incremental Influence Maximization for Dynamic Social Networks. ICPCSEE (2) 2017: 13-27 - [c10]Jinghua Zhu, Xuming Yin, Yake Wang, Jinbao Li, Yingli Zhong, Yingshu Li:
Structural Holes Theory-Based Influence Maximization in Social Network. WASA 2017: 860-864 - 2016
- [j5]Jinghua Zhu, Xuming Yin, Jingsi Bai, Yake Wang:
Mobility-assisted big data collecting in wireless sensor networks. Int. J. Distributed Sens. Networks 12(8) (2016) - [c9]Jinbao Li, Yue Han, Jinghua Zhu:
Influence Equilibrium Problem Research Based on Common Interests in Mobile Social Network. MSN 2016: 271-278 - 2015
- [c8]Xuming Yin, Jinghua Zhu, Yingshu Li, Zhiqiang Wu:
Mobile Data Gathering with Time-Constraints in Wireless Sensor Networks. WASA 2015: 696-705 - 2014
- [c7]Jinghua Zhu, Xue Wang, Yingshu Li:
Predictive Nearest Neighbor Queries over Uncertain Spatial-Temporal Data. WASA 2014: 424-435 - 2013
- [j4]Yingli Zhong, Jinghua Zhu, Meirui Ren, Yan Yang:
Estimation of the Number of Distinct Values over Data Stream Based on Compound Sliding Window. J. Softw. 8(1): 19-24 (2013) - 2012
- [c6]Yahong Guo, Xiaohang Guo, Yanqing Zhang, Jinghua Zhu, Jinbao Li:
Opportunistic Routing in Multi-Power Wireless Sensor Networks. CWSN 2012: 83-96 - [c5]Chenjing Zhang, Kun Yue, Jinghua Zhu, Xiaoling Wang, Aoying Zhou:
Bayesian Network-Based Probabilistic XML Keywords Filtering. DASFAA Workshops 2012: 274-285 - [c4]Yahong Guo, Jinbao Li, Longjiang Guo, Jinghua Zhu, Xu Liu:
A Cache Based Multi-join Query Method with Two-Phase Processing in MANET. WASA 2012: 450-461 - 2010
- [j3]Yong Liu, Jianzhong Li, Jinghua Zhu, Hong Gao:
Mining Top-K Graph Patterns that Jointly Maximize Some Significance Measure. J. Comput. 5(4): 565-572 (2010)
2000 – 2009
- 2009
- [c3]Jinbao Li, Shouling Ji, Jinghua Zhu:
Data Caching Based Queries in Multi-sink Sensor Networks. MSN 2009: 9-16 - 2008
- [c2]Jinghua Zhu, Jianzhong Li, Jizhou Luo, Wei Zhang, Hongzhi Wang:
C-kNN Query Processing in Object Tracking Sensor Networks. WASA 2008: 432-443 - 2007
- [j2]Jinghua Zhu, Jianzhong Li, Hong Gao:
Energy Efficient and QoS-Aware Tasks Allocation for Sensor Networks. J. Digit. Inf. Manag. 5(2): 88-94 (2007) - [j1]Yong Liu, Jianzhong Li, Jinghua Zhu, Hong Gao:
Clustering Frequent Graph Patterns. J. Digit. Inf. Manag. 5(6): 335-346 (2007) - [c1]Jinghua Zhu, Jianzhong Li, Hong Gao:
Tasks Allocation for Real-Time Applications in Heterogeneous Sensor Networks for Energy Minimization. SNPD (2) 2007: 20-25
Coauthor Index
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last updated on 2024-11-07 21:34 CET by the dblp team
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