Xin Li
Orcid: 0000-0003-4257-4347Affiliations:
- Beijing Institute of Technology, School of Computer Science, China
- Hong Kong Baptist University, Department of Computer Science, Hong Kong (PhD 2009)
According to our database1,
Xin Li
authored at least 81 papers
between 2005 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
IEEE Trans. Knowl. Data Eng., March, 2025
CoRR, February, 2025
2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
IEEE Trans. Ind. Electron., March, 2024
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning.
IEEE Trans. Knowl. Data Eng., January, 2024
IEEE Trans. Inf. Forensics Secur., 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Differentiable Logic Policy for Interpretable Deep Reinforcement Learning: A Study From an Optimization Perspective.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors.
IEEE Trans. Knowl. Data Eng., April, 2023
ACM Trans. Intell. Syst. Technol., April, 2023
CoRR, 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
ACM Trans. Inf. Syst., 2022
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning.
CoRR, 2022
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information.
CoRR, 2022
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Neural Comput. Appl., 2021
CoRR, 2021
Partial Power Conversion and High Voltage Ride-Through Scheme for a PV-Battery Based Multiport Multi-Bus Power Router.
IEEE Access, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
Multi-relational EHR representation learning with infusing information of Diagnosis and Medication.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
2020
Zero-to-Stable Driver Identification: A Non-Intrusive and Scalable Driver Identification Scheme.
IEEE Trans. Veh. Technol., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Knowl. Data Eng., 2020
IEEE Internet Things J., 2020
On Improving the Learning of Long-Term historical Information for Tasks with Partial Observability.
Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Veh. Technol., 2019
ACM Trans. Inf. Syst., 2019
Deep trajectory: a deep learning approach for mobile advertising in vehicular networks.
Neural Comput. Appl., 2019
A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study.
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the 14th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2019
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 5th IEEE International Conference on Big Data Security on Cloud, 2019
2018
Next point-of-interest recommendation via a category-aware Listwise Bayesian Personalized Ranking.
J. Comput. Sci., 2018
Personalized Next Point-of-Interest Recommendation via Latent Behavior Patterns Inference.
CoRR, 2018
IEEE Access, 2018
Inferring Continuous Latent Preference on Transition Intervals for Next Point-of-Interest Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization.
ACM Trans. Inf. Syst., 2017
Proceedings of the Mobile Ad-hoc and Sensor Networks - 13th International Conference, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2016
Neurocomputing, 2016
Effective successive POI recommendation inferred with individual behavior and group preference.
Neurocomputing, 2016
A Momentum Theory for Hot Topic Life-cycle: A Case Study of Hot Hashtag Emerging in Twitter.
Int. J. Comput. Commun. Control, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016
Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
The Author-Topic-Community model for author interest profiling and community discovery.
Knowl. Inf. Syst., 2015
Crafting a Time-Aware Point-of-Interest Recommendation via Pairwise Interaction Tensor Factorization.
Proceedings of the Knowledge Science, Engineering and Management, 2015
Proceedings of the Knowledge Science, Engineering and Management, 2015
2014
Proceedings of the Wireless Algorithms, Systems, and Applications, 2014
ReadBehavior: Reading Probabilities Modeling of Tweets via the Users' Retweeting Behaviors.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Proceedings of the IEEE 33rd International Performance Computing and Communications Conference, 2014
TMODF: Trajectory-based multi-objective optimal data forwarding in vehicular networks.
Proceedings of the IEEE 33rd International Performance Computing and Communications Conference, 2014
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014
Proceedings of the 16th Asia-Pacific Network Operations and Management Symposium, 2014
2013
Proceedings of the IEEE 32nd International Performance Computing and Communications Conference, 2013
Proceedings of the IEEE 32nd International Performance Computing and Communications Conference, 2013
2010
IEEE Trans. Syst. Man Cybern. Part B, 2010
2009
Proceedings of the Advances in Machine Learning, 2009
2007
Proceedings of the Machine Learning, 2007
2006
Proceedings of the IEEE International Conference on Systems, 2006
Integrating Value-Directed Compression and Belief Space Analysis for POMDP Decomposition.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006
2005
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005