A Low Power Balanced Security Control Protocol of WSN. - Yu Jiang 006; Jin Wang 001; Lili He 002; Yuanbo Xu; Hongtao Bai (QSHINE, 2016)

Building text classifiers using positive, unlabeled and 'outdated' examples. - Jiayu Han; Wanli Zuo; Lu Liu 013; Yuanbo Xu; Tao Peng 003 (Concurr. Comput. Pract. Exp., 2016)

Efficient traffic congestion estimation using multiple spatio-temporal properties. - Yongjian Yang 001; Yuanbo Xu; Jiayu Han; En Wang; Weitong Chen 001; Lin Yue (Neurocomputing, 2017)

Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation. - Yuanbo Xu; Yongjian Yang 001; Jiayu Han; En Wang; Fuzhen Zhuang; Hui Xiong 001 (ICDM, 2018)

Exploring influence maximization in online and offline double-layer propagation scheme. - Yongjian Yang 001; Yuanbo Xu; En Wang; Kaihao Lou; Dongming Luan (Inf. Sci., 2018)

Improving Existing Collaborative Filtering Recommendations via Serendipity-Based Algorithm. - Yongjian Yang 001; Yuanbo Xu; En Wang; Jiayu Han; Zhiwen Yu 001 (IEEE Trans. Multim., 2018)

Improving Recommendations by Embedding Multi-Entity Relationships With Latent Dual-Metric Learning. - Yuanbo Xu; Yongjian Yang 001; Jiayu Han; Xiang Li; En Wang (IEEE Access, 2019)

Deep Latent Factor Model with Hierarchical Similarity Measure for recommender systems. - Jiayu Han; Lei Zheng 001; He Huang 008; Yuanbo Xu; Philip S. Yu; Wanli Zuo (Inf. Sci., 2019)

Slanderous user detection with modified recurrent neural networks in recommender system. - Yuanbo Xu; Yongjian Yang 001; Jiayu Han; En Wang; Jingci Ming; Hui Xiong 001 (Inf. Sci., 2019)

NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks. - Yuanbo Xu; Yongjian Yang 001; Jiayu Han; En Wang; Fuzhen Zhuang; Jingyuan Yang 001; Hui Xiong 001 (Neural Networks, 2019)

Analysis of Public Transport System Efficiency Based on Multi-layer Network. - Lu Xu; Funing Yang; Zhezhou Yu; Qiuyang Huang; Xuan Ji; Yuanbo Xu (ICAIS (1), 2020)

Combinatorial Multi-Armed Bandit Based User Recruitment in Mobile Crowdsensing. - Hengzhi Wang; Yongjian Yang 001; En Wang; Wenbin Liu; Yuanbo Xu; Jie Wu 001 (SECON, 2020)

Budgeted video replacement policy in mobile crowdsensing. - En Wang; Yongjian Yang 001; Jie Wu 001; Kaihao Lou; Wenbin Liu; Yuanbo Xu (J. Parallel Distributed Comput., 2020)

Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with Sparse Explicit Feedback. - Yuanbo Xu; Yongjian Yang 001; En Wang; Jiayu Han; Fuzhen Zhuang; Zhiwen Yu 001; Hui Xiong 001 (ACM Trans. Knowl. Discov. Data, 2020)

Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation. - Jiayu Han; Lei Zheng 001; Yuanbo Xu; Bangzuo Zhang; Fuzhen Zhuang; Philip S. Yu; Wanli Zuo (IEEE Trans. Neural Networks Learn. Syst., 2020)

Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. - Chunyu Liu; Yongjian Yang 001; Zijun Yao 001; Yuanbo Xu; Weitong Chen 001; Lin Yue; Haomeng Wu (CIKM, 2021)

ToP: Time-dependent Zone-enhanced Points-of-interest Embedding-based Explainable Recommender system. - En Wang; Yuanbo Xu; Yongjian Yang 001; Fukang Yang; Chunyu Liu; Yiheng Jiang (INFOCOM, 2021)

Exploiting Outlier Value Effects in Sparse Urban CrowdSensing. - En Wang; Mijia Zhang; Yongjian Yang 001; Yuanbo Xu; Jie Wu 001 (IWQoS, 2021)

Distributed Game-Theoretical Task Offloading for Mobile Edge Computing. - En Wang; Pengmin Dong; Yuanbo Xu; Dawei Li 002; Liang Wang 017; Yongjian Yang 001 (MASS, 2021)

Super Resolution Deduction: Inferring Fine-Grained Capacity for Urban Signal Station Deployment. - Yongjian Yang 001; Jufeng Hou; Yuanbo Xu (IEEE Access, 2021)

Citywide road-network traffic monitoring using large-scale mobile signaling data. - Qiuyang Huang; Yongjian Yang 001; Yuanbo Xu; Funing Yang; Zhilu Yuan; Yongxiong Sun (Neurocomputing, 2021)

Fine-Grained Urban Flow Inferring via Conditional Generative Adversarial Networks. - Xv Zhang; Yuanbo Xu; Ying Li 004; Yongjian Yang 001 (APWeb/WAIM (3), 2022)

Spatial-Temporal Interval Aware Sequential POI Recommendation. - En Wang; Yiheng Jiang; Yuanbo Xu; Liang Wang 017; Yongjian Yang 001 (ICDE, 2022)

Spatiotemporal Fracture Data Inference in Sparse Urban CrowdSensing. - En Wang; Mijia Zhang; Yuanbo Xu; Haoyi Xiong; Yongjian Yang 001 (INFOCOM, 2022)

Generating Self-Serendipity Preference in Recommender Systems for Addressing Cold Start Problems. - Yuanbo Xu; Yongjian Yang 001; En Wang (CoRR, 2022)

Real-time POI recommendation via modeling long- and short-term user preferences. - Xin Liu; Yongjian Yang 001; Yuanbo Xu; Funing Yang; Qiuyang Huang; Hong Wang (Neurocomputing, 2022)

Distributed Game-Theoretical D2D-Enabled Task Offloading in Mobile Edge Computing. - En Wang; Han Wang; Pengmin Dong; Yuanbo Xu; Yongjian Yang 001 (J. Comput. Sci. Technol., 2022)

Symmetric transformer-based network for unsupervised image registration. - Mingrui Ma; Yuanbo Xu; Lei Song; Guixia Liu (Knowl. Based Syst., 2022)

A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems. - Yuanbo Xu; En Wang; Yongjian Yang 001; Yi Chang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Detect Professional Malicious User With Metric Learning in Recommender Systems. - Yuanbo Xu; Yongjian Yang 001; En Wang; Fuzhen Zhuang; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2022)

Learning Knowledge Representation with Entity Concept Information. - Yuanbo Xu; Lin Yue; Hangtong Xu; Yongjian Yang 001 (ADMA (4), 2023)

Duet Representation Learning with Entity Multi-attribute Information in Knowledge Graphs. - Yuanbo Xu; Yuanbo Zhang; Yongjian Yang 001; Hangtong Xu; Lin Yue (ADMA (2), 2023)

Deep Generative Imputation Model for Missing Not At Random Data. - Jialei Chen 004; Yuanbo Xu; Pengyang Wang; Yongjian Yang 001 (CIKM, 2023)

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift. - Xuanming Hu; Wei Fan 010; Kun Yi 001; Pengfei Wang 008; Yuanbo Xu; Yanjie Fu; Pengyang Wang (ICDM, 2023)

Revenge of MLP in Sequential Recommendation. - Yiheng Jiang; Yuanbo Xu (CoRR, 2023)

Causal Structure Representation Learning of Confounders in Latent Space for Recommendation. - Hangtong Xu; Yuanbo Xu; Yongjian Yang 001 (CoRR, 2023)

DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops. - Hangtong Xu; Yuanbo Xu; Yongjian Yang 001; Fuzhen Zhuang; Hui Xiong 001 (CoRR, 2023)

Limi-TFP: Citywide Traffic Flow Prediction With Limited Road Status Information. - Qiuyang Huang; Hongfei Jia; Yuanbo Xu; Yongjian Yang 001; Gaoxi Xiao (IEEE Trans. Veh. Technol., 2023)

Dynamic traffic correlations based spatio-temporal graph convolutional network for urban traffic prediction. - Yuanbo Xu; Xiao Cai; En Wang; Wenbin Liu; Yongjian Yang 001; Funing Yang (Inf. Sci., 2023)

SEN-FCB: an unsupervised twinning neural network for image registration. - Mingrui Ma; Guixia Liu; Lei Song; Yuanbo Xu (Appl. Intell., 2023)

Truthful User Recruitment for Cooperative Crowdsensing Task: A Combinatorial Multi-Armed Bandit Approach. - Hengzhi Wang; Yongjian Yang 001; En Wang; Wenbin Liu; Yuanbo Xu; Jie Wu 001 (IEEE Trans. Mob. Comput., 2023)

Improved Adaptive Multipoint Optimal Minimum Entropy Deconvolution and Application on Bearing Fault Detection in Random Impulsive Noise Environments. - Yu Wei; Yuanbo Xu; Yinlong Hou; Long Li (Entropy, 2023)

Zone-Enhanced Spatio-Temporal Representation Learning for Urban POI Recommendation. - En Wang; Yuanbo Xu; Yongjian Yang 001; Yiheng Jiang; Fukang Yang; Jie Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Separating and Learning Latent Confounders to Enhancing User Preferences Modeling. - Hangtong Xu; Yuanbo Xu; Yongjian Yang 001 (DASFAA (3), 2024)

Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation. - Lu Jiang 007; Yanan Xiao; Xinxin Zhao; Yuanbo Xu; Shuli Hu; Pengyang Wang; Minghao Yin (IJCAI, 2024)

Hierarchical Reinforcement Learning for Point of Interest Recommendation. - Yanan Xiao; Lu Jiang 007; Kunpeng Liu 001; Yuanbo Xu; Pengyang Wang; Minghao Yin (IJCAI, 2024)

Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training. - Shiqin Liu; Chaozhuo Li; Xi Zhang 008; Minjun Zhao; Yuanbo Xu; Jiajun Bu (ACM Multimedia, 2024)

An Efficient Deployment Scheme With Network Performance Modeling for Underwater Wireless Sensor Networks. - Cangzhu Xu; Shanshan Song; Jun Liu 006; Yuanbo Xu; Shouheng Che; Bin Lin 001; Gaochao Xu (IEEE Internet Things J., 2024)

GS-RS: A Generative Approach for Alleviating Cold Start and Filter Bubbles in Recommender Systems. - Yuanbo Xu; En Wang; Yongjian Yang 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2024)

An adaptive category-aware recommender based on dual knowledge graphs. - Yuanbo Xu; Tian Li; Yongjian Yang 001; Weitong Chen 001; Lin Yue (Inf. Process. Manag., 2024)

Spatial-Temporal Interval Aware Individual Future Trajectory Prediction. - Yiheng Jiang; Yongjian Yang 001; Yuanbo Xu; En Wang (IEEE Trans. Knowl. Data Eng., 2024)

TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation. - Yiheng Jiang; Yuanbo Xu; Yongjian Yang 001; Funing Yang; Pengyang Wang; Chaozhuo Li; Fuzhen Zhuang; Hui Xiong 001 (ACM Trans. Inf. Syst., 2024)

Exploring Applicable Scenarios and Boundary of MAC Protocols: A MAC Performance Analysis Framework for Underwater Acoustic Networks. - Jiani Guo; Shanshan Song; Jun Liu 006; Hao Chen; Yuanbo Xu; Jun-Hong Cui (IEEE Trans. Mob. Comput., 2024)

Distributed Task Selection for Crowdsensing: A Game-Theoretical Approach. - En Wang; Dongming Luan; Yuanbo Xu; Yongjian Yang 001; Jie Wu 001 (IEEE Trans. Mob. Comput., 2024)

Auto Encoding Neural Process for Multi-interest Recommendation. - Yiheng Jiang; Yuanbo Xu; Yongjian Yang 001; Funing Yang; Pengyang Wang; Chaozhuo Li (AAAI, 2025)

Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning. - Jiawei Liu; Yuanbo Xu; Shanshan Song; Lu Jiang 007 (AAAI, 2025)

Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation. - Mingyang Lv; Xiangfeng Liu; Yuanbo Xu (AAAI, 2025)

Adaptive receptive field graph neural networks. - Hepeng Gao; Funing Yang; Yongjian Yang 001; Yuanbo Xu; Yijun Su (Neural Networks, 2025)

Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems. - Yuanbo Xu; Fuzhen Zhuang; En Wang; Chaozhuo Li; Jie Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach. - Jialei Chen 004; Yuanbo Xu; Yiheng Jiang (CoRR, 2025)

Rethinking the Effect of Sparse Data Completion on Sparse Mobile Crowdsensing Tasks. - Yuanbo Xu; Jiawei Liu; En Wang; Bo Yang 002; Dongming Luan; Yongjian Yang 001; Jing Deng 001 (IEEE Trans. Mob. Comput., 2025)

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models. - Chaozhuo Li; Pengbo Wang; Chenxu Wang; Litian Zhang; Zheng Liu 011; Qiwei Ye; Yuanbo Xu; Feiran Huang; Xi Zhang 008; Philip S. Yu (CoRR, 2025)

Extraction of mechanical multi-fault using parameter-adaptive jump plus mode decomposition. - Yue Han; Na Yang; Yu Wei; Yuanbo Xu (Signal Image Video Process., 2025)