Jinghua Zhu - RankMe

86 papers A 1B 7C 5Journal 28Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Clustering-guided contrastive prototype learning: Towards semi-supervised medical image segmentation. Pattern Recognit. Zihe Lv, Zhengda Wu, Jinghua Zhu
2026	J	`jnl`	FedACA: Adaptive classifier aggregation and clustering for personalized heterogeneous federated learning. Neurocomputing Jichen Dong, Yingchun Cui, Zhengda Wu, Heran Xi, Jinghua Zhu
2026	J	`jnl`	FedAPE: Heterogeneous federated learning with attention-guided aggregation and prototype enhancement. Future Gener. Comput. Syst. Xiao Wang, Zhengda Wu, Jinghua Zhu
2026	J	`jnl`	FedFAT: Frequency adpative interpolation for federated domain generalization on heterogeneous medical images. Pattern Recognit. Donghao Wang, Yingchun Cui, Mingyang Li, Heran Xi, Jinghua Zhu
2026	J	`jnl`	FedPFC: Federated prototype-wise fusion via dynamic classifier adaptation for global-Personalized learning. Inf. Fusion Quanqiang Wei, Zhengda Wu, Jinghua Zhu
2026	J	`jnl`	Mix-contrastive learning with multi-way fusion for high-efficiency semi-supervised medical image segmentation. Biomed. Signal Process. Control. Zhengda Wu, Hui Cui, Jiquan Ma, Jinghua Zhu
2026	J	`jnl`	SCL-SOD: A hybrid self-supervised contrastive learning framework for salient object detection. Neurocomputing Zhengda Wu, Jinbao Wang, Yingchun Cui, Jinghua Zhu
2025	B	`conf`	A Frequency-Based Approach for Federated Domain Generalization in Heterogeneous Medical Imaging. ICMR Donghao Wang, Yingchun Cui, Zhengda Wu, Heran Xi, Jinghua Zhu
2025	J	`jnl`	CCA: Contrastive cluster assignment for supervised and semi-supervised medical image segmentation. Neural Networks Jinghua Zhu, Chengying Huang, Heran Xi, Hui Cui
2025	J	`jnl`	DKD-pFed: A novel framework for personalized federated learning via decoupling knowledge distillation and feature decorrelation. Expert Syst. Appl. Liwei Su, Donghao Wang, Jinghua Zhu
2025	J	`jnl`	FLAV: Federated Learning for Autonomous Vehicle privacy protection. Ad Hoc Networks Yingchun Cui, Jinghua Zhu, Jinbao Li
2025	—	`conf`	Multi-preference Sequence Recommendation Transformer. WASA (2) Xinyu Zheng, Mingyang Li, Yuan He, Jiawei Zhang, Jinghua Zhu
2025	J	`jnl`	Multi-scale graph harmonies: Unleashing U-Net's potential for medical image segmentation through contrastive learning. Neural Networks Jie Wu, Jiquan Ma, Heran Xi, Jinbao Li, Jinghua Zhu
2025	B	`conf`	Optimal Transport-Driven Federated Out-of-Distribution Detection in Heterogeneous Data. ICMR Yuan He, Yingchun Cui, Zhengda Wu, Heran Xi, Jinghua Zhu
2025	B	`conf`	Out-of-Distribution Detection for Open-Set Semi-Supervised Medical Image Classification. ICMR Jiawei Zhang, Yingchun Cui, Zhengda Wu, Heran Xi, Jinghua Zhu
2025	J	`jnl`	Treasure in the background: Improve saliency object detection by self-supervised contrast learning. Expert Syst. Appl. Haoji Dong, Jie Wu, Chengcheng Xing, Heran Xi, Hui Cui, Jinghua Zhu
2025	J	`jnl`	kMaXU: Medical image segmentation U-Net with k-means Mask Transformer and contrastive cluster assignment. Pattern Recognit. Chengying Huang, Zhengda Wu, Heran Xi, Jinghua Zhu
2024	—	`conf`	An Enhanced MobileNet with Multi-scale Attention Aggregation for DR Classification. APWeb/WAIM (1) Heran Xi, Hongxu Ji, Yang Hu, Jinbao Li, Jinghua Zhu
2024	C	`conf`	Causal Inference for Eliminating Popularity Bias in Session-based Recommendation. CSCWD Lin Li, Jinghua Zhu
2024	J	`jnl`	MChain-SFFL: Multi-Chain Aggregation Privacy Preserving for Server-Free Federated Learning. IEEE Trans. Netw. Serv. Manag. Yingchun Cui, Jinghua Zhu
2024	—	`conf`	MobileP BIBM Hongxu Ji, Jie Wu, Heran Xi, Jinghua Zhu
2023	J	`jnl`	Cross Pyramid Transformer makes U-net stronger in medical image segmentation. Biomed. Signal Process. Control. Jinghua Zhu, Yue Sheng, Hui Cui, Jiquan Ma, Jijian Wang, Heran Xi
2023	—	`conf`	Influence-Guided Data Augmentation in Graph Contrastive Learning for Recommendation. ICSOC (2) Qi Zhang, Heran Xi, Jinghua Zhu
2023	—	`conf`	Knowledge Graph Transformer for Sequential Recommendation. ICANN (6) Jinghua Zhu, Yanchang Cui, Zhuohao Zhang, Heran Xi
2023	—	`conf`	Privacy Preserving Federated Learning Framework Based on Multi-chain Aggregation. DASFAA (1) Yingchun Cui, Jinghua Zhu
2023	B	`conf`	Privacy Protection Federated Learning Framework Based on Blockchain and Committee Consensus in IoT Devices. COMPSAC Shuxin Zhang, Jinghua Zhu
2023	C	`conf`	Real-Time Electric Vehicle Intelligent Charging Scheduling Strategy in Real Traffic Scenarios. WoWMoM Yue Yang, Gang Pan, Jinghua Zhu
2023	J	`jnl`	Short-term energy consumption prediction of electric vehicle charging station using attentional feature engineering and multi-sequence stacked Gated Recurrent Unit. Comput. Electr. Eng. Jiafeng Zheng, Jinghua Zhu, Heran Xi
2023	C	`conf`	Sparse Sequential Recommendation with Interactions and Intentions Contrastive Learning. IPCCC Hengxia Wang, Jinghua Zhu
2023	—	`conf`	Wasserstein Adversarial Variational Autoencoder for Sequential Recommendation. APWeb/WAIM (4) Wenbiao Liu, Xianjin Rong, Yingli Zhong, Jinghua Zhu
2022	A	`conf`	A Collaborative Framework for Ad Click-Through Rate Prediction in Mobile App Services. ICSOC Xianjin Rong, Jinghua Zhu, Heran Xi
2022	C	`conf`	Heterogeneous Graph Based Long- And Short-Term Preference Learning Model for Next POI Recommendation. ICA3PP Shiyang Zhou, Jinghua Zhu, Heran Xi, Hongjun An
2022	—	`conf`	Knowledge-Aware Self-supervised Graph Representation Learning for Recommendation. ICANN (4) Yeheng Sun, Jinghua Zhu, Heran Xi
2022	—	`conf`	Multi-View Attention Networks with Contrastive Predictive Coding for Sequential Recommendation. HPCC/DSS/SmartCity/DependSys Hongjun An, Jinghua Zhu, Heran Xi, Shiyang Zhou
2022	—	`conf`	Privacy-Aware Task Allocation Based on Deep Reinforcement Learning for Mobile Crowdsensing. WASA (3) Mingchuan Yang, Jinghua Zhu, Heran Xi, Yue Yang
2022	B	`conf`	SILK-BPR: Identify Implicit Friends with Self-guided Walking for Social Recommendation. IJCNN Zhiwei Zhou, Heran Xi, Jinghua Zhu
2021	—	`conf`	Attention-Based Encoder-Decoder Network For Single Image Dehazing. ICME Workshops Shunan Gao, Jinghua Zhu, Heran Xi
2021	—	`conf`	Context-Aware Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. ICHMI Jinghua Zhu, Dandan Yuan, Heran Xi
2021	J	`jnl`	Context-aware short-term interest first model for session-based recommendation. CoRR Haomei Duan, Jinghua Zhu
2021	—	`conf`	Deep Recommendation Model Based on Local Attention and GRU. ICIAI Jinghua Zhu, Huafeng Hou, Heran Xi
2021	—	`conf`	Multi-Relational Hierarchical Attention for Top-k Recommendation. ICA3PP (2) Shiwen Yang, Jinghua Zhu, Heran Xi
2021	—	`conf`	PS-LSTM: Popularity Analysis And Social Network For Point-Of-Interest Recommendation In Previously Unvisited Locations. CNIOT Chongyu Zhong, Jinghua Zhu, Heran Xi
2021	—	`conf`	Sequential Recommendation via Temporal Self-Attention and Multi-Preference Learning. WASA (2) Wenchao Wang, Jinghua Zhu, Heran Xi
2021	—	`conf`	Worker Recruitment Based on Edge-Cloud Collaboration in Mobile Crowdsensing System. ICA3PP (2) Jinghua Zhu, Yuanjing Li, Anqi Lu, Heran Xi
2020	B	`conf`	Attention and Graph Matching Network for Retrieval-Based Dialogue System with Domain Knowledge. IJCNN Xu Li, Jinghua Zhu
2020	—	`conf`	CP-Net: Channel Attention and Pixel Attention Network for Single Image Dehazing. ICPCSEE (1) Shunan Gao, Jinghua Zhu, Yan Yang
2020	—	`conf`	Multi-factor Fusion POI Recommendation Model. ICPCSEE (2) Xinxing Ma, Jinghua Zhu, Shuo Zhang, Yingli Zhong
2020	—	`conf`	POI Recommendations Using Self-attention Based on Side Information. ICPCSEE (2) Chenbo Yue, Jinghua Zhu, Shuo Zhang, Xinxing Ma
2020	—	`conf`	Reliable Potential Friends Identification Based on Trust Circuit for Social Recommendation. WASA (1) Shuo Zhang, Jinghua Zhu
2020	J	`jnl`	Worker recruitment with cost and time constraints in Mobile Crowd Sensing. Future Gener. Comput. Syst. Anqi Lu, Jinghua Zhu
2019	B	`conf`	A Distributed Big Data Discretization Algorithm Under Spark. Big Data (CCF) Yeung Chan, Xia Jie Zhang, Jinghua Zhu
2019	—	`conf`	Attention Neural Network for User Behavior Modeling. ICPCSEE (1) Kang Yang, Jinghua Zhu
2019	—	`conf`	Deep Neural Model for Point-of-Interest Recommendation Fused with Graph Embedding Representation. WASA Jinghua Zhu, Xu Guo
2019	J	`jnl`	Friend and POI recommendation based on social trust cluster in location-based social networks. EURASIP J. Wirel. Commun. Netw. Jinghua Zhu, Chao Wang, Xu Guo, Qian Ming, Jinbao Li, Yong Liu
2019	—	`conf`	Hybrid Network Assisted Dynamic Worker Recruitment Algorithm. SmartIoT Anqi Lu, Jinghua Zhu
2019	—	`conf`	Interest-Forgetting Markov Model for Next-Basket Recommendation. ICPCSEE (1) Jinghua Zhu, Xinxing Ma, Chenbo Yue, Chao Wang
2019	—	`conf`	Knowledge-Aware Graph Collaborative Filtering for Recommender Systems. MSN Minghong Cai, Jinghua Zhu
2019	J	`jnl`	Next POI Recommendation via Graph Embedding Representation From H-Deepwalk on Hybrid Network. IEEE Access Kang Yang, Jinghua Zhu
2019	—	`conf`	POI Recommendation Based on First-Order Collaborative Filtering Tree. MSN Jinghua Zhu, Shengchao Ma, Jinbao Li
2019	C	`conf`	Prediction Based Reverse Auction Incentive Mechanism for Mobile Crowdsensing System. COCOA Zhen Wang, Jinghua Zhu, Doudou Li
2019	—	`conf`	Prediction-Based Task Allocation in Mobile Crowdsensing. MSN Doudou Li, Jinghua Zhu, Yanchang Cui
2019	—	`conf`	Self-attention Based Collaborative Neural Network for Recommendation. WASA Shengchao Ma, Jinghua Zhu
2019	—	`conf`	Target Market Optimal Coverage Algorithm Based on Heat Diffusion Model. ICPCSEE (2) Jinghua Zhu, Yuekai Zhang, Bochong Li
2019	—	`conf`	Task Assignment Algorithm Based on Social Influence in Mobile Crowd Sensing System. CWSN Anqi Lu, Jinghua Zhu
2019	—	`conf`	Trust-Aware Group Recommendation with Attention Mechanism in Social Network. MSN Jinghua Zhu, Zhichao Li, Chenbo Yue, Yong Liu
2019	J	`jnl`	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 Xu Guo, Jinghua Zhu
2018	—	`conf`	Negative Influence Maximization in Social Networks. ICPCSEE (1) Jinghua Zhu, Bochong Li, Yuekai Zhang, Yaqiong Li
2018	—	`conf`	Trust-Distrust-Aware Point-of-Interest Recommendation in Location-Based Social Network. WASA Jinghua Zhu, Qian Ming, Yong Liu
2018	J	`jnl`	Wireless Sensor Network Technology Based on Security Trust Evaluation Model. Int. J. Online Eng. Jinghua Zhu
2017	J	`jnl`	A New Structure-Hole-Based Algorithm For Influence Maximization in Large Online Social Networks. IEEE Access Jinghua Zhu, Yong Liu, Xuming Yin
2017	—	`conf`	Incremental Influence Maximization for Dynamic Social Networks. ICPCSEE (2) Yake Wang, Jinghua Zhu, Qian Ming
2017	—	`conf`	Structural Holes Theory-Based Influence Maximization in Social Network. WASA Jinghua Zhu, Xuming Yin, Yake Wang, Jinbao Li, Yingli Zhong, Yingshu Li
2016	—	`conf`	Influence Equilibrium Problem Research Based on Common Interests in Mobile Social Network. MSN Jinbao Li, Yue Han, Jinghua Zhu
2016	J	`jnl`	Mobility-assisted big data collecting in wireless sensor networks. Int. J. Distributed Sens. Networks Jinghua Zhu, Xuming Yin, Jingsi Bai, Yake Wang
2015	—	`conf`	Mobile Data Gathering with Time-Constraints in Wireless Sensor Networks. WASA Xuming Yin, Jinghua Zhu, Yingshu Li, Zhiqiang Wu
2014	—	`conf`	Predictive Nearest Neighbor Queries over Uncertain Spatial-Temporal Data. WASA Jinghua Zhu, Xue Wang, Yingshu Li
2013	J	`jnl`	Estimation of the Number of Distinct Values over Data Stream Based on Compound Sliding Window. J. Softw. Yingli Zhong, Jinghua Zhu, Meirui Ren, Yan Yang
2012	—	`conf`	A Cache Based Multi-join Query Method with Two-Phase Processing in MANET. WASA Yahong Guo, Jinbao Li, Longjiang Guo, Jinghua Zhu, Xu Liu
2012	—	`conf`	Bayesian Network-Based Probabilistic XML Keywords Filtering. DASFAA Workshops Chenjing Zhang, Kun Yue, Jinghua Zhu, Xiaoling Wang, Aoying Zhou
2012	—	`conf`	Opportunistic Routing in Multi-Power Wireless Sensor Networks. CWSN Yahong Guo, Xiaohang Guo, Yanqing Zhang, Jinghua Zhu, Jinbao Li
2010	J	`jnl`	Mining Top-K Graph Patterns that Jointly Maximize Some Significance Measure. J. Comput. Yong Liu, Jianzhong Li, Jinghua Zhu, Hong Gao
2009	—	`conf`	Data Caching Based Queries in Multi-sink Sensor Networks. MSN Jinbao Li, Shouling Ji, Jinghua Zhu
2008	—	`conf`	C-kNN Query Processing in Object Tracking Sensor Networks. WASA Jinghua Zhu, Jianzhong Li, Jizhou Luo, Wei Zhang, Hongzhi Wang
2007	J	`jnl`	Clustering Frequent Graph Patterns. J. Digit. Inf. Manag. Yong Liu, Jianzhong Li, Jinghua Zhu, Hong Gao
2007	J	`jnl`	Energy Efficient and QoS-Aware Tasks Allocation for Sensor Networks. J. Digit. Inf. Manag. Jinghua Zhu, Jianzhong Li, Hong Gao
2007	—	`conf`	Tasks Allocation for Real-Time Applications in Heterogeneous Sensor Networks for Energy Minimization. SNPD (2) Jinghua Zhu, Jianzhong Li, Hong Gao