Xin Li

Orcid: 0000-0003-4257-4347

Affiliations:
  • 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 66 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Coarse-to-Fine Contrastive Learning on Graphs.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Low-Capacitance CHB-Based SST Based on Resonant Push-Pull Decoupling Channel.
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

Graph-Based Covert Transaction Detection and Protection in Blockchain.
IEEE Trans. Inf. Forensics Secur., 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

Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment.
ACM Trans. Intell. Syst. Technol., April, 2023

Principled Offline RL in the Presence of Rich Exogenous Information.
Proceedings of the International Conference on Machine Learning, 2023

Behavior Prior Representation learning for Offline Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Representation Learning in Deep RL via Discrete Information Bottleneck.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
CHA: Categorical Hierarchy-based Attention for Next POI Recommendation.
ACM Trans. Inf. Syst., 2022

Domain-Adversarial Network Alignment.
IEEE Trans. Knowl. Data Eng., 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

SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
On improving knowledge graph facilitated simple question answering system.
Neural Comput. Appl., 2021

SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning.
CoRR, 2021

Partial Power Conversion and High Voltage Ride-Through Scheme for a PV-Battery Based Multiport Multi-Bus Power Router.
IEEE Access, 2021

Shared-latent Variable Network Alignment.
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

GANE: A Generative Adversarial Network Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2020

Structural Representation Learning for User Alignment Across Social Networks.
IEEE Trans. Knowl. Data Eng., 2020

WiPOS: A POS Terminal Password Inference System Based on Wireless Signals.
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

Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Hierarchical Routing for Vehicular Ad Hoc Networks via Reinforcement Learning.
IEEE Trans. Veh. Technol., 2019

Next and Next New POI Recommendation via Latent Behavior Pattern Inference.
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

Crowdsourcing Incentives for Multi-Hop Urban Parcel Delivery Network.
IEEE Access, 2019

A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Geographical Behavior-Based Point-of-Interest Recommendation.
Proceedings of the 5th IEEE International Conference on Big Data Security on Cloud, 2019

2018
Collective semantic behavior extraction in social networks.
J. Comput. Sci., 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

A Structural Representation Learning for Multi-relational Networks.
CoRR, 2018

Artificial Intelligence Scientific Documentation Dataset for Recommender Systems.
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

Non-translational Alignment for Multi-relational Networks.
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

On Improving Deep Reinforcement Learning for POMDPs.
CoRR, 2017

A Reinforcement Learning Approach of Data Forwarding in Vehicular Networks.
Proceedings of the Mobile Ad-hoc and Sensor Networks - 13th International Conference, 2017

A Structural Representation Learning for Multi-relational Networks.
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
On Preventing Location Attacks for Urban Vehicular Networks.
Mob. Inf. Syst., 2016

FriendBurst: Ranking people who get friends fast in a short time.
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

Aligning Users across Social Networks Using Network Embedding.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

On Improving a Microblog Ranking.
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

Deriving an Effective Hypergraph Model for Point of Interest Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2015

2014
ReadBehavior: Reading Probabilities Modeling of Tweets via the Users' Retweeting Behaviors.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

QGrid: Q-learning based routing protocol for vehicular ad hoc networks.
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

A Novel Topical Authority-Based Microblog Ranking.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013
SEBAR: Social Energy Based Routing scheme for mobile social Delay Tolerant Networks.
Proceedings of the IEEE 32nd International Performance Computing and Communications Conference, 2013

2010
Improving POMDP Tractability via Belief Compression and Clustering.
IEEE Trans. Syst. Man Cybern. Part B, 2010

2009
On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression.
Proceedings of the Advances in Machine Learning, 2009

2007
A novel orthogonal NMF-based belief compression for POMDPs.
Proceedings of the Machine Learning, 2007

2006
An Adaptation of EPCA to Image Compression and Reconstruction.
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
Decomposing Large-Scale POMDP Via Belief State Analysis.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005


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