News
30 Oct 2024
One paper is accepted by IEEE TKDE (CCF A) on the Missing-Not-At-Random, generative model, recommender systems.
14 Aug 2024
One paper is accepted by IEEE TMC (CCF A) on the mobile crowdSensing, route navigation, potential game and nash equilibrium.
24 May 2024
One paper is accepted by ACM TOIS (CCF A) on the foundational architecture for sequential recommendation.
15 March 2024
One paper is accepted by DASFAA (CCF B) on separating and learning latent confounders to enhancing user preferences modeling.
28 Nov 2023
One paper is accepted by IEEE TKDE on spatial-temporal trajectory and sequential location-based recommendation.
28 June 2023
One paper is accepted by IEEE TKDE on generative models,cold start and recommendation.
8 Feb 2023
One paper is accepted by IEEE TKDE on zone-enhanced model and POI recommendation.
9 May 2022
One paper is accepted by ICDE on sequential POI recommendation.
2 May 2022
One paper is accepted by INFOCOM on mobile crowdsensing and spatio-temporal fracture data.
2 Feb 2022
One paper is accepted by IEEE TMC on mobile crowdsensing,collaboration likelihood and combinatorial multi-armed bandit.
Yuanbo XU
Associate Professor
College of Computer Science and Technology
2699 Qianjin Road, Changchun, China 130012
Email: yuanbox@jlu.edu.cn
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I lead the Data Mining Group of Mobile Intelligent Computing Lab (MIC Lab). My research interests span information retrieval, spatio-temporal data mining, and urban computing. I have over 40 publications appeared in several top conferences such as INFOCOM, ICDE, and journals including TKDE, TMC, and TNNLS. Moreover, I have served as (senior) PC member for conferences including WWW, KDD, IJCAI, AAAI, etc.
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Hiring PhD students and masters. Requirements:
- Strong code ability (C/C++ or Python)
- English (CET-6 score 500+, or equal levels)
- Determination to do high-quality research.
Selected Publications
(Full list see my [Group Homepage] [Google Scholar] ) In the Year of 2024:Learning without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems
Yuanbo Xu , Fuzhen Zhuang, En Wang, Chaozhuo Li, Jie Wu IEEE TKDE 2024 (CCF A) |
Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training
Shiqin Liu, Chaozhuo Li, Xi Zhang, Minjun Zhao, Yuanbo Xu , Jiajun Bu ACM MM 2024 (CCF A) |
Distributed Task Selection for Crowdsensing: a Game-Theoretical Approach
En Wang, Dongming Luan, Yuanbo Xu*, Yongjian Yang, Jie Wu IEEE Transactions on Mobile Computing 2024 (CCF A) *Corresponding |
TriMLP: A Foundational MLP-like Architecture for Sequential Recommendation
Yiheng Jiang, Yuanbo Xu*, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li, Fuzhen Zhuang, Hui Xiong ACM TOIS 2024 (CCF A) *Corresponding |
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Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation
Lu Jiang,Yanan Xiao,Xinxin Zhao,Yuanbo Xu,Shuli Hu,Pengyang Wang,Minghao Yin IJCAI 2024 (CCF A) |
Hierarchical Reinforcement Learning for Point of Interest Recommendation
Yanan Xiao,Lu Jiang,Kunpeng Liu,Yuanbo Xu,Pengyang Wang,Minghao Yin IJCAI 2024 (CCF A) |
Separating and Learning Latent Confounders to Enhancing User Preferences Modeling
Hangtong Xu, Yuanbo Xu*, Yongjian Yang DASFAA 2024 (CCF B) *Corresponding |
An adaptive category-aware recommender based on dual knowledge graphs
Yuanbo Xu, Tian Li, Yongjian Yang, Weitong Chen, Lin Yue Information Processing & Management 2024 (CCF B, 中科院1区) |
Spatial-Temporal Interval Aware Individual Future Trajectory Prediction
Yiheng Jiang, Yongjian Yang, Yuanbo Xu*, En Wang IEEE TKDE 2023 (CCF A) *Corresponding |
GS2-RS: A Generative Approach for Alleviating Cold start and Filter bubbles in Recommender Systems
Yuanbo Xu, En Wang, Yongjian Yang, Hui Xiong IEEE TKDE 2023 (CCF A) |
Deep Generative Imputation Model for Missing Not At Random Data Jialei Chen, Yuanbo Xu*, Pengyang Wang, Yongjian Yang CIKM 2023 (CCF B) *Corresponding |
SEN-FCB: an unsupervised twinning neural network for image registration Mingrui Ma, Guixia Liu, Lei Song,Yuanbo Xu Applied Intelligence 2023 |
Dynamic traffic correlations based spatio-temporal graph convolutional network for urban traffic prediction Yuanbo Xu, Xiao Cai, En Wang, Wenbin Liu, Yongjian Yang, Funing Yang Information Sciences 2023 (CCF B, 中科院1区) |
Zone-Enhanced Spatio-Temporal Representation Learning for Urban POI Recommendation En Wang, Yuanbo Xu*, Yongjian Yang, Yiheng Jiang, Fukang Yang, Jie Wu IEEE TKDE 2023 (CCF A) *Corresponding |
Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift
Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang ICDM 2023 (CCF B) |
Symmetric transformer-based network for unsupervised image registration
Mingrui Ma, Yuanbo Xu, Lei Song, Guixia Liu Knowledge-Based Systems 2022 (中科院1区) |
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Limi-TFP: Citywide Traffic Flow Prediction With Limited Road Status Information
Qiuyang Huang, Hongfei Jia, Yuanbo Xu*, Yongjian Yang, Gaoxi Xiao IEEE Transactions on Vehicular Technology 2022 *Corresponding |
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Fine-Grained Urban Flow Inferring via Conditional Generative Adversarial Networks
Xv Zhang,Yuanbo Xu, Ying Li, Yongjian Yang APWeb 2022 |
Distributed Game-Theoretical D2D-Enabled Task Offloading in Mobile Edge Computing
En Wang, Han Wang, Pengmin Dong, Yuanbo Xu, Yongjian Yang Journal of Computer Science and Technology 2022 *Corresponding |
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Spatial-temporal interval aware sequential POI recommendation
En Wang, Yiheng Jiang, Yuanbo Xu*, Liang Wang, Yongjian Yang IEEE ICDE 2022 (CCF A) *Corresponding |
Spatiotemporal fracture data inference in sparse urban crowdsensing
En Wang, Mijia Zhang, Yuanbo Xu*, Haoyi Xiong, Yongjian Yang IEEE INFOCOM 2022 (CCF A) *Corresponding |
Truthful user recruitment for cooperative crowdsensing task: A combinatorial multi-armed bandit approach
Hengzhi Wang, Yongjian Yang, En Wang, Wenbin Liu, Yuanbo Xu, Jie Wu IEEE Transactions on Mobile Computing 2022 (CCF A) |
Real-time POI recommendation via modeling long-and short-term user preferences
Xin Liu, Yongjian Yang, Yuanbo Xu, Funing Yang, Qiuyang Huang, Hong Wang Neurocomputing 2022 |
Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces
Chunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu*, Weitong Chen, Lin Yue, Haomeng Wu CIKM 2021 (CCF B) *Corresponding |
Distributed game-theoretical task offloading for mobile edge computing
En Wang, Pengmin Dong,Yuanbo Xu*, Dawei Li, Liang Wang, Yongjian Yang IEEE International Conference on Mobile Adhoc and Sensor Systems 2021 *Corresponding author |
Human origin-destination flow prediction based on large scale mobile signal data
Qiuyang Huang, Yongjian Yang, Yuanbo Xu*, En Wang, Kangning Zhu Wireless Communications and Mobile Computing 2021 *Corresponding author |
Citywide road-network traffic monitoring using large-scale mobile signaling data
Qiuyang Huang, Yongjian Yang, Yuanbo Xu, Funing Yang, Zhilu Yuan, Yongxiong Sun Neurocomputing 2021 |
Exploiting outlier value effects in sparse urban crowdsensing
En Wang, Mijia Zhang, Yongjian Yang, Yuanbo Xu*, Jie Wu IWQOS 2021 (CCF B) *Corresponding author |
ToP: Time-dependent zone-enhanced points-of-interest embedding-based explainable recommender system
En Wang,Yuanbo Xu*, Yongjian Yang, Fukang Yang, Chunyu Liu, Yiheng Jiang INFOCOM 2021 (CCF A) *Corresponding |
Super Resolution Deduction: Inferring Fine-Grained Capacity for Urban Signal Station Deployment
Yongjian Yang, Jufeng Hou,Yuanbo Xu* IEEE Access 2021 *Corresponding author |
A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems
Yuanbo Xu, En Wang, Yongjian Yang, Yi Chang IEEE TKDE 2021 (CCF A) |
Detect professional malicious user with metric learning in recommender systems
Yuanbo Xu, Yongjian Yang, En Wang, Fuzhen Zhuang, Hui Xiong IEEE TKDE 2020 (CCF A) |
Combinatorial multi-armed bandit based user recruitment in mobile crowdsensing
Hengzhi Wang, Yongjian Yang, En Wang, Wenbin Liu,Yuanbo Xu, Jie Wu SECON 2020 (CCF B) |
Neural serendipity recommendation: Exploring the balance between accuracy and novelty with sparse explicit feedback
Yuanbo Xu, Yongjian Yang, En Wang, Jiayu Han, Fuzhen Zhuang, Zhiwen Yu, Hui Xiong ACM TKDD 2020 (CCF B) |
Multiagent reinforcement learning-based taxi predispatching model to balance taxi supply and demand
Yongjian Yang, Xintao Wang, Yuanbo Xu*, Qiuyang Huang Journal of Advanced Transportation 2020 *Corresponding author |
Budgeted video replacement policy in mobile crowdsensing
En Wang, Yongjian Yang, Jie Wu, Kaihao Lou, Wenbin Liu,Yuanbo Xu Journal of Parallel and Distributed Computing 2020 (CCF B) |
Slanderous user detection with modified recurrent neural networks in recommender system
Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Jingci Ming, Hui Xiong Information Sciences 2019 (CCF B, 中科院1区) |
Deep latent factor model with hierarchical similarity measure for recommender systems
Jiayu Han, Lei Zheng, He Huang, Yuanbo Xu, S Yu Philip, Wanli Zuo Information Sciences 2019 (CCF B, 中科院1区) |
Adaptive deep modeling of users and items using side information for recommendation
Jiayu Han, Lei Zheng, Yuanbo Xu, Bangzuo Zhang, Fuzhen Zhuang, S Yu Philip, Wanli Zuo IEEE transactions on neural networks and learning systems 2019 (CCF B, 中科院1区) |
NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks
Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Jingyuan Yang, Hui Xiong Neural Networks 2019 (CCF B, 中科院1区) |
Improving Recommendations by Embedding Multi-Entity Relationships With Latent Dual-Metric Learning
Yuanbo Xu, Yongjian Yang, Jiayu Han, Xiang Li, En Wang IEEE Access 2019 |
Exploiting the sentimental bias between ratings and reviews for enhancing recommendation
Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Hui Xiong ICDM 2018 (CCF B) |
Exploring influence maximization in online and offline double-layer propagation scheme
Yongjian Yang, Yuanbo Xu, En Wang, Kaihao Lou, Dongming Luan Information Sciences 2018 (CCF B, 中科院1区) |
Efficient traffic congestion estimation using multiple spatio-temporal properties
Yongjian Yang, Yuanbo Xu, Jiayu Han, En Wang, Weitong Chen, Lin Yue Neurocomputing 2017 |
Improving existing collaborative filtering recommendations via serendipity-based algorithm
Yongjian Yang,Yuanbo Xu, En Wang, Jiayu Han, Zhiwen Yu IEEE Transactions on Multimedia 2017 (CCF A) |
Building text classifiers using positive, unlabeled and ‘outdated’examples
Jiayu Han, Wanli Zuo, Lu Liu, Yuanbo Xu, Tao Peng Concurrency and Computation: Practice and Experience 2016 |
A Low Power Balanced Security Control Protocol of WSN
Yu Jiang, Jin Wang, Lili He, Yuanbo Xu, Hongtao Bai International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness 2016 |
A balanced security protocol of wireless sensor network for smart home
Yuanbo Xu, Yu Jiang, Chengquan Hu, Hui Chen, Lili He, Yinghui Cao IEEE ICSP 2014 |
Professional Services
PC/SPC Member of Conferences: 2024: IJCAI,AAAI,WWW,DASFAA,ADMA,KDD,CIKM 2023: IJCAI,AAAI,WWW,CIKM,APWeb,ADMA 2022: IJCAI,AAAI,ICDE,CIKM 2021: IJCAI,AAAI,CIKM 2020: IJCAI,AAAI 2019: IJCAI,AAAI |
Experiences
Associate Professor, Jilin University, July 2021 - Present |
Postdoc Research Fellow,Jilin University, June 2019 - July 2021 Advisior: Prof. Yi Chang (Dean of Research College of Jilin University) |
Visiting Scholar(CSC support), Rutgers, the State University of New Jersey, Oct 2017 - May 2019 Advisior: Prof. Hui Xiong (The Hong Kong University of Science and Technology(Guangzhou)) |
Education
Jilin University (JLU) Ph.D. in Computer Science July 2015 – June 2019, China Advisor: Prof. Yongjian Yang |
Jilin University (JLU) Master. in Computer Science July 2012 – June 2015, China Advisor: Prof. Chengquan Hu |
Jilin University (JLU) Bachelor. in Computer Science July 2008 – June 2012, China |
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Last update: 3 June, 2024. Webpage template borrows from Weinan Zhang.