Xiaolin Zheng

Orcid: 0000-0001-5483-0366

According to our database1, Xiaolin Zheng authored at least 167 papers between 2003 and 2024.

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Bibliography

2024
Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation.
IEEE Trans. Knowl. Data Eng., December, 2024

Microfluidic-Based Electrical Operation and Measurement Methods in Single-Cell Analysis.
Sensors, October, 2024

Heterogeneous Information Crossing on Graphs for Session-Based Recommender Systems.
ACM Trans. Web, May, 2024

Making recommender systems forget: Learning and unlearning for erasable recommendation.
Knowl. Based Syst., January, 2024

FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection.
CoRR, 2024

PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN.
CoRR, 2024

Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Protecting Split Learning by Potential Energy Loss.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

HEDGE: Heterogeneous Semantic Dynamic Graph Framework for Log Anomaly Detection in Digital Service Network.
Proceedings of the IEEE International Conference on Web Services, 2024

Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Byzantine-Robust Compressed and Momentum-based Variance Reduction in Federated Learning.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Selective and collaborative influence function for efficient recommendation unlearning.
Expert Syst. Appl., December, 2023

Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., November, 2023

Finding High-Quality Item Attributes for Recommendation.
IEEE Trans. Knowl. Data Eng., August, 2023

REFER: Randomized Online Factor Selection Framework for portfolio Management.
Expert Syst. Appl., August, 2023

Exploring financially constrained small- and medium-sized enterprises based on a multi-relation translational graph attention network.
Frontiers Inf. Technol. Electron. Eng., March, 2023

Federated Learning for Short Text Clustering.
CoRR, 2023

Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering.
CoRR, 2023

Defending Label Inference Attacks in Split Learning under Regression Setting.
CoRR, 2023

Federated Large Language Model: A Position Paper.
CoRR, 2023

Federated Unlearning via Active Forgetting.
CoRR, 2023

Selective and Collaborative Influence Function for Efficient Recommendation Unlearning.
CoRR, 2023

Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Spotlight News Driven Quantitative Trading Based on Trajectory Optimization.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Federated Learning on Non-iid Data via Local and Global Distillation.
Proceedings of the IEEE International Conference on Web Services, 2023

Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks.
Proceedings of the IEEE International Conference on Web Services, 2023

Incentive-Driven Pricing Game for Multi-Edge Service Providers towards Optimal Profits.
Proceedings of the IEEE International Conference on Web Services, 2023

PEVLR: A New Privacy-Preserving and Efficient Approach for Vertical Logistic Regression.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Decentralized Graph Neural Network for Privacy-Preserving Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation.
ACM Trans. Inf. Syst., 2022

Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.
ACM Trans. Intell. Syst. Technol., 2022

Towards secure and practical machine learning via secret sharing and random permutation.
Knowl. Based Syst., 2022

FinBrain 2.0: when finance meets trustworthy AI.
Frontiers Inf. Technol. Electron. Eng., 2022

Exponential Gradient with Momentum for Online Portfolio Selection.
Expert Syst. Appl., 2022

Making Split Learning Resilient to Label Leakage by Potential Energy Loss.
CoRR, 2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
CoRR, 2022

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.
CoRR, 2022

Partial Relaxed Optimal Transport for Denoised Recommendation.
CoRR, 2022

Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation.
CoRR, 2022

An Online Transfer Learning Framework With Extreme Learning Machine for Automated Credit Scoring.
IEEE Access, 2022

WISE: Wavelet based Interpretable Stock Embedding for Risk-Averse Portfolio Management.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Smart Trader for Portfolio Management based on Normalizing Flows.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Partial Relaxed Optimal Transport for Denoised Recommendation.
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021
O<sup>3</sup>ERS: An explainable recommendation system with online learning, online recommendation, and online explanation.
Inf. Sci., 2021

A trust-aware latent space mapping approach for cross-domain recommendation.
Neurocomputing, 2021

Inferring Urban Land Use from Multi-Source Urban Mobility Data Using Latent Multi-View Subspace Clustering.
ISPRS Int. J. Geo Inf., 2021

Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation.
CoRR, 2021

Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards a Serverless Java Runtime.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-Facet Recommender Networks with Spherical Optimization.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Semantic-Aware Deep Neural Attention Network for Machine Translation Detection.
Proceedings of the Machine Translation - 17th China Conference, 2021

2020
Using Latent Knowledge to Improve Real-Time Activity Recognition for Smart IoT.
IEEE Trans. Knowl. Data Eng., 2020

Practical Privacy Preserving POI Recommendation.
ACM Trans. Intell. Syst. Technol., 2020

Deterministic Lateral Displacement-Based Separation of Magnetic Beads and Its Applications of Antibody Recognition.
Sensors, 2020

Collaborative topological filtering with multi-hop recurrent pathological aggregation.
Knowl. Based Syst., 2020

Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.
CoRR, 2020

Privacy-Preserving Graph Neural Network for Node Classification.
CoRR, 2020

Practical Privacy Preserving POI Recommendation.
CoRR, 2020

Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
FinBrain: when finance meets AI 2.0.
Frontiers Inf. Technol. Electron. Eng., 2019

EXPLORE: EXPLainable item-tag CO-REcommendation.
Inf. Sci., 2019

Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling.
CoRR, 2019

Design of Visual Gaze Target Locating Device Based on Depth Camera.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

Research on Power-Assisted Strategy and Device Based on Muscle Synergy.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

DTCDR: A Framework for Dual-Target Cross-Domain Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
A Request-Based Handover Strategy Using NDN for 5G.
Wirel. Commun. Mob. Comput., 2018

Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model.
ACM Trans. Knowl. Discov. Data, 2018

Non-Uniform Sample Assignment in Training Set Improving Recognition of Hand Gestures Dominated with Similar Muscle Activities.
Frontiers Neurorobotics, 2018

User-Sensitive Recommendation Ensemble with Clustered Multi-Task Learning.
CoRR, 2018

Leveraging Transitive Trust Relations to Improve Cross-Domain Recommendation.
IEEE Access, 2018

How Local Information Improves Rendezvous in Cognitive Radio Networks.
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

Modeling Dynamic Missingness of Implicit Feedback for Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Recurrent Collaborative Filtering for Unifying General and Sequential Recommender.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Sub-Thermionic Steep Switching in Hole-Doped WSe2 Transistors.
Proceedings of the 76th Device Research Conference, 2018

Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
An Approach for Building Efficient and Accurate Social Recommender Systems Using Individual Relationship Networks.
IEEE Trans. Knowl. Data Eng., 2017

Deep Collaborative Autoencoder for Recommender Systems: A Unified Framework for Explicit and Implicit Feedback.
CoRR, 2017

Automated identification and reduction of artifacts in cine four-dimensional computed tomography (4DCT) images using respiratory motion model.
Int. J. Comput. Assist. Radiol. Surg., 2017

Investment Recommendation with Total Capital Value Maximization in Online P2P Lending.
Proceedings of the 14th IEEE International Conference on e-Business Engineering, 2017

Optimize Recommendation System with Topic Modeling and Clustering.
Proceedings of the 14th IEEE International Conference on e-Business Engineering, 2017

2016
Combining Trust Propagation and Topic-Level User Interest Expansion in Recommender Systems.
Int. J. Web Serv. Res., 2016

Recommender System with Composite Social Trust Networks.
Int. J. Web Serv. Res., 2016

Incorporating social information to perform diverse replier recommendation in question and answer communities.
J. Inf. Sci., 2016

Topic tensor factorization for recommender system.
Inf. Sci., 2016

A hybrid approach for movie recommendation via tags and ratings.
Electron. Commer. Res. Appl., 2016

P2P Lending Platforms Bankruptcy Prediction Using Fuzzy SVM with Region Information.
Proceedings of the 13th IEEE International Conference on e-Business Engineering, 2016

The impact of sEMG feature weight on the recognition of similar grasping gesture.
Proceedings of the 2016 International Conference on Advanced Robotics and Mechatronics, 2016

Capturing Semantic Correlation for Item Recommendation in Tagging Systems.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A Hybrid Trust-Based Recommender System for Online Communities of Practice.
IEEE Trans. Learn. Technol., 2015

A graph-based comprehensive reputation model: Exploiting the social context of opinions to enhance trust in social commerce.
Inf. Sci., 2015

Efficient learning ensemble SuperParent-one-dependence estimator by maximizing conditional log likelihood.
Expert Syst. Appl., 2015

Review Sentiment Analysis Based on Deep Learning.
Proceedings of the 12th IEEE International Conference on e-Business Engineering, 2015

2014
Personalized recommendation based on review topics.
Serv. Oriented Comput. Appl., 2014

Incorporating appraisal expression patterns into topic modeling for aspect and sentiment word identification.
Knowl. Based Syst., 2014

An efficient and reliable approach for quality-of-service-aware service composition.
Inf. Sci., 2014

Deformable image registration for temporal subtraction of chest radiographs.
Int. J. Comput. Assist. Radiol. Surg., 2014

A Hybrid Movie Recommendation Approach via Social Tags.
Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014

Collaborative Topic Modeling for Text Tensors.
Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014

Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Theoretical Analysis of the Optical Propagation Characteristics in a Fiber-Optic Surface Plasmon Resonance Sensor.
Sensors, 2013

Word sense disambiguation based on positional weighted context.
J. Inf. Sci., 2013

Exploiting two-faceted web of trust for enhanced-quality recommendations.
Expert Syst. Appl., 2013

Capturing the essence of word-of-mouth for social commerce: Assessing the quality of online e-commerce reviews by a semi-supervised approach.
Decis. Support Syst., 2013

Making Recommendations on Microblogs through Topic Modeling.
Proceedings of the Web Information Systems Engineering - WISE 2013 Workshops, 2013

Recommender System Based on Social Trust Relationships.
Proceedings of the IEEE 10th International Conference on e-Business Engineering, 2013

A Recommender System Model Combining Trust with Topic Maps.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012
Trust Based Service Selection in Service Oriented Environment.
Int. J. Web Serv. Res., 2012

A Comprehensive Failure Recovery Algorithm for LRTs Based on Paired Net.
J. Softw., 2012

Algorithm for recommending answer providers in community-based question answering.
J. Inf. Sci., 2012

Blind source separation with time series variational Bayes expectation maximization algorithm.
Digit. Signal Process., 2012

Personalized Recommendation Based on Reviews and Ratings Alleviating the Sparsity Problem of Collaborative Filtering.
Proceedings of the Ninth IEEE International Conference on e-Business Engineering, 2012

2011
A Micropower Miniature Piezoelectric Actuator for Implantable Middle Ear Hearing Device.
IEEE Trans. Biomed. Eng., 2011

Rule-based service charging method for composite services.
Int. J. Serv. Technol. Manag., 2011

User-centric trust and reputation model for personal and trusted service selection.
Int. J. Intell. Syst., 2011

A Reputation Evaluation Approach Based on Fuzzy Relation.
Int. J. Comput. Intell. Syst., 2011

News Information Extraction Based on Adaptive Weighting Using Unsupervised Bayesian Algorithm.
Proceedings of the Web Information Systems and Mining - International Conference, 2011

Segmentation of brain tissue based on connected component labeling and mathematic morphology.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010
Dynamic Service Selection with Reputation Management.
Proceedings of the International Conference on Service Sciences, 2010

A Computational Trust Model in C2C E-Commerce Environment.
Proceedings of the IEEE 7th International Conference on e-Business Engineering, 2010

2009
The Fourth Party Service Platform and Service Charging.
Proceedings of the IEEE International Conference on Web Services, 2009

An Ontology-Driven Discovery Architecture to Support Service Composition.
Proceedings of the 2009 IEEE International Conference on e-Business Engineering, 2009

Dynamic Social Network Analysis Using Latent Space Model and an Integrated Clustering Algorithm.
Proceedings of the Eighth IEEE International Conference on Dependable, 2009

A Network-Based Environment of Female Pelvic Region for Anatomical Education Based on Chinese Visible Human Datasets.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008
Context-sensitive QoS model: a rule-based approach to web service composition.
Proceedings of the 17th International Conference on World Wide Web, 2008

Policy-Based Web Service Selection in Context Sensitive Environment.
Proceedings of the 2008 IEEE Congress on Services, Part I, 2008

URL Rule Based Focused Crawler.
Proceedings of the 2008 IEEE International Conference on e-Business Engineering, 2008

2007
Personalized Web Service Composition Model for Non-diploma Distance Learning.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

2006
Towards an Agent-Based Robust Collaborative Virtual Environment for E-Learning in the Service Grid.
Proceedings of the Agent Computing and Multi-Agent Systems, 2006

Objective Function Analysis for QoS-AwareWeb Service Composition.
Proceedings of the 2006 IEEE International Conference on e-Business Engineering (ICEBE 2006), 2006

Research of Web-based Negotiation Support System in Collaborative Commerce.
Proceedings of the 2006 IEEE International Conference on e-Business Engineering (ICEBE 2006), 2006

A Semantic Web Approach to "Request for Quote" in E-Commerce.
Proceedings of the Advanced Web and Network Technologies, and Applications, 2006

2005
B2B Integration: An Ontology-Based Framework.
Proceedings of the 2005 International Conference on Semantics, 2005

Research of architecture for grid manufacturing.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005

2004
Secure strategy for networked manufacturing system.
Proceedings of the IEEE International Conference on Systems, 2004

2003
Study of Mobile Payments System.
Proceedings of the 2003 IEEE International Conference on Electronic Commerce (CEC 2003), 2003


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