Xingyu Wu

Orcid: 0000-0001-7802-0931

According to our database1, Xingyu Wu authored at least 101 papers between 2013 and 2025.

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

Timeline

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Bibliography

2025
Data Exchange for the Metaverse With Accountable Decentralized TTPs and Incentive Mechanisms.
IEEE Trans. Big Data, October, 2025

The processing for label noise based on attribute reduction and two-step method.
Int. J. Mach. Learn. Cybern., August, 2025

Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models.
CoRR, August, 2025

Learning to Transfer for Evolutionary Multitasking.
IEEE Trans. Cybern., July, 2025

Hierarchical Budget Policy Optimization for Adaptive Reasoning.
CoRR, July, 2025

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization.
CoRR, July, 2025

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance.
CoRR, July, 2025

SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation.
CoRR, June, 2025

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery.
CoRR, June, 2025

Diversity-Aware Policy Optimization for Large Language Model Reasoning.
CoRR, May, 2025

Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning.
CoRR, May, 2025

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap.
IEEE Trans. Evol. Comput., April, 2025

A Survey on (M)LLM-Based GUI Agents.
CoRR, April, 2025

Label-Aware Causal Feature Selection.
IEEE Trans. Knowl. Data Eng., March, 2025

Causal Discovery Using Weight-Based Conditional Independence Test.
ACM Trans. Knowl. Discov. Data, January, 2025

Fair streaming feature selection.
Neurocomputing, 2025

Attribute-Based Publicly Verifiable Secret Sharing.
IACR Cryptol. ePrint Arch., 2025

Event-triggered predefined-time tracking control for high-order nonlinear systems with time-varying actuator failures and uncertain disturbances.
Eng. Appl. Artif. Intell., 2025

Smart Fault Detection, Classification, and Localization in Distribution Networks: AI-Driven Approaches and Emerging Technologies.
IEEE Access, 2025

A Study on Knowledge-Based Chain-of-Thought Reasoning Methods for Power Information Operation and Maintenance.
Proceedings of the 11th IEEE International Conference on High Performance and Smart Computing, 2025

Design Principle Transfer in Neural Architecture Search via Large Language Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Local Causal Discovery Without Causal Sufficiency.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network.
ACM Trans. Knowl. Discov. Data, June, 2024

Self-Attention Over Tree for Relation Extraction With Data-Efficiency and Computational Efficiency.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Knowledge Verification From Data.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Estimating package arrival time via heterogeneous hypergraph neural network.
Expert Syst. Appl., March, 2024

Quality Evaluation of Triples in Knowledge Graph by Incorporating Internal With External Consistency.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Nonlinear learning method for local causal structures.
Inf. Sci., January, 2024

Hybrid Local Causal Discovery.
CoRR, 2024

HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models.
CoRR, 2024

Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection.
CoRR, 2024

CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models.
CoRR, 2024

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models.
CoRR, 2024

How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems.
CoRR, 2024

Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

VoCAPTER: Voting-based Pose Tracking for Category-level Articulated Object via Inter-frame Priors.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Knowledge-Driven Backdoor Removal in Deep Neural Networks via Reinforcement Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Recognition of Signal Modulation Pattern Based on Multi-task Self-supervised Learning.
Proceedings of the Intelligent Information Processing XII, 2024

Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Nightfall Deception: A Novel Backdoor Attack on Traffic Sign Recognition Models via Low-Light Data Manipulation.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

ECG Signal Classification with a Multi-stage Model Integrating CNN, SNN, and ResNet.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

EAMS-YOLOv8: An Object Detection Algorithm for Drone Aerial Images.
Proceedings of the 7th International Conference on Algorithms, 2024

2023
Efficient multi-view semi-supervised feature selection.
Inf. Sci., November, 2023

Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Adaptive collaborative fusion for multi-view semi-supervised classification.
Inf. Fusion, August, 2023

Multilabel Feature Selection: A Local Causal Structure Learning Approach.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Temporal knowledge graph embedding via sparse transfer matrix.
Inf. Sci., April, 2023

Accurate Label Refinement From Multiannotator of Remote Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2023

AS-LLM: When Algorithm Selection Meets Large Language Model.
CoRR, 2023

Fair Causal Feature Selection.
CoRR, 2023

Inductive Graph Transformer for Delivery Time Estimation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation.
Proceedings of the Database Systems for Advanced Applications, 2023

Patient-Centered Data Sharing and Revision Framework Based on Redactable Blockchain.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Practical Markov Boundary Learning without Strong Assumptions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Contextual-Aware Information Extractor with Adaptive Objective for Chinese Medical Dialogues.
ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2022

Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Auxiliary Learning for Relation Extraction.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Domain knowledge-enhanced variable selection for biomedical data analysis.
Inf. Sci., 2022

Robust multi-view learning via adaptive regression.
Inf. Sci., 2022

Link Prediction in Continuous-Time Dynamic Heterogeneous Graphs with Causality of Event Types.
Int. J. Crowd Sci., 2022

An AIoT-enabled Autonomous Dementia Monitoring System.
CoRR, 2022

Application of Artificial Intelligence Technology in the Electronic Information Age.
Proceedings of the World Automation Congress, 2022

Generalization Bounds for Estimating Causal Effects of Continuous Treatments.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Adapting on Road Traffic-Oriented Controlled Optimization of Phases to Heterogeneous Intersections.
Proceedings of the Intelligent Information Processing XI, 2022

Nonlinear Causal Discovery in Time Series.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Separation and recovery Markov boundary discovery and its application in EEG-based emotion recognition.
Inf. Sci., 2021

Do Models Learn the Directionality of Relations? A New Evaluation Task: Relation Direction Recognition.
CoRR, 2021

Multi-Label Local-to-Global Feature Selection.
Proceedings of the International Joint Conference on Neural Networks, 2021

The Skyline of Counterfactual Explanations for Machine Learning Decision Models.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Unsupervised Categorical Representation Learning for Package Arrival Time Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Robust Adaptive-weighting Multi-view Classification.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Accurate Markov Boundary Discovery for Causal Feature Selection.
IEEE Trans. Cybern., 2020

Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables.
CoRR, 2020

Tolerant Markov Boundary Discovery for Feature Selection.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Multi-Label Causal Feature Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
AAR-RT - A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases.
Medical Image Anal., 2019

Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning.
CoRR, 2019

Facial expression recognition of intercepted video sequences based on feature point movement trend and feature block texture variation.
Appl. Soft Comput., 2019

Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Modeling and Self-Learning Soft-Grasp Control for Free-Floating Space Manipulator During Target Capturing Using Variable Stiffness Method.
IEEE Access, 2018

Thoracic lymph node station recognition on CT images based on automatic anatomy recognition with an optimal parent strategy.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Auto-contouring via automatic anatomy recognition of organs at risk in head and neck cancer on CT images.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Image quality and segmentation.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Hierarchical model-based object localization for auto-contouring in head and neck radiation therapy planning.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

2017
A Compliance Control Strategy for Minimizing Base Attitude Disturbance Using Variable Stiffness Joint Space Manipulator.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Point Context: An Effective Shape Descriptor for RST-Invariant Trajectory Recognition.
J. Math. Imaging Vis., 2016

Human action recognition based on tensor shape descriptor.
IET Comput. Vis., 2016

2015
Kernel optimization using nonparametric Fisher criterion in the subspace.
Pattern Recognit. Lett., 2015

基于改进粒子群优化算法的虚拟机迁移选择策略研究 (Research of Live Migration of Virtual Machines Selection Strategy Optimization Problems Based on Modified Particle Swarm Optimization).
计算机科学, 2015

Trajectory-based view-invariant hand gesture recognition by fusing shape and orientation.
IET Comput. Vis., 2015

Point Context: An Effective Shape Descriptor for RST-invariant Trajectory Recognition.
CoRR, 2015

2014
View-Invariant Gesture Recognition Using Nonparametric Shape Descriptor.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Flexible design of a wearable lower limb exoskeleton robot.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

Combined Motion and Region-Based 3D Tracking in Active Depth Image Sequence.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013


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