Xu Chu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
A Status Quo Investigation of Large Language Models towards Cost-Effective CFD Automation with OpenFOAMGPT: ChatGPT vs. Qwen vs. Deepseek.
CoRR, April, 2025
LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models.
CoRR, April, 2025
Stackelberg Game Preference Optimization for Data-Efficient Alignment of Language Models.
CoRR, February, 2025
IEEE Trans. Instrum. Meas., 2025
Knowl. Based Syst., 2025
Effect of the digital transformation of firms in a developing country on their reverse innovation: the complementary roles of multi-contexts.
Int. J. Technol. Manag., 2025
Comput. Networks, 2025
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories.
Proceedings of the ACM on Web Conference 2025, 2025
Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Generative adversarial meta-learning knowledge graph completion for large-scale complex knowledge graphs.
J. Intell. Inf. Syst., December, 2024
Sensors, August, 2024
3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation.
CoRR, 2024
IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models.
CoRR, 2024
TaSL: Task Skill Localization and Consolidation for Language Model Continual Learning.
CoRR, 2024
Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction.
CoRR, 2024
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation.
CoRR, 2024
Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series.
CoRR, 2024
A new class of general fractional differential quasivariational and quasivariational-hemivariational inequalities with variable constraint sets.
Commun. Nonlinear Sci. Numer. Simul., 2024
SGANFuzz: A Deep Learning-Based MQTT Fuzzing Method Using Generative Adversarial Networks.
IEEE Access, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Transcriptional correlates of frequency-dependent brain functional activity associated with symptom severity in degenerative cervical myelopathy.
NeuroImage, December, 2023
Patient Health Representation Learning via Correlational Sparse Prior of Medical Features.
IEEE Trans. Knowl. Data Eng., November, 2023
Eng. Appl. Artif. Intell., November, 2023
A Hybrid Discrete Artificial Bee Colony Algorithm Based on Label Similarity for Solving Point-Feature Label Placement Problem.
ISPRS Int. J. Geo Inf., October, 2023
Comput. Commun., October, 2023
Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction.
IEEE Trans. Big Data, August, 2023
Int. J. Pattern Recognit. Artif. Intell., May, 2023
Remote. Sens., April, 2023
Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method.
ACM Trans. Comput. Heal., January, 2023
Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models.
CoRR, 2023
A new class of differential quasivariational inequalities with an application to a quasistatic viscoelastic frictional contact problem.
Commun. Nonlinear Sci. Numer. Simul., 2023
SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Single-Phase to Ground Fault Line Identification for Medium Voltage Islanded Microgrids With Neutral Ineffectively Grounded Modes.
IEEE Trans. Smart Grid, 2022
Electrical Compensation for Magnetization Distortion of Magnetic Fluxgate Current Sensor.
IEEE Trans. Instrum. Meas., 2022
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
CoRR, 2022
MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering.
CoRR, 2022
Appl. Soft Comput., 2022
BiTMulV: Bidirectional-Decoding Based Transformer with Multi-view Visual Representation.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Research on Multi-parameter Tracking Effect Evaluation system Based on Photoelectric theodolite.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022
2021
IEEE Trans. Smart Grid, 2021
A Joint Optimization Framework of the Embedding Model and Classifier for Meta-Learning.
Sci. Program., 2021
Proceedings of the Smart Computing and Communication - 6th International Conference, 2021
Establishment of a unified data model based on OPC UA and analysis of the efficiency of communication protocol.
Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021
Application of Rough Sets Conditional Information Entropy in Climatic Evaluation of Flue-Cured Tobacco Growing Areas.
Proceedings of the EBIMCS 2021: 4th International Conference on E-Business, Information Management and Computer Science, Hong Kong, SAR, China, December 29, 2021
2020
Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation.
Sensors, 2020
Identifying quality educational apps: Lessons from 'top' mathematics apps in the Apple App store.
Educ. Inf. Technol., 2020
Reducing Road Vehicle Fuel Consumption by Exploiting Connectivity and Automation: A Literature Survey.
CoRR, 2020
CoRR, 2020
Parameter Identification and Sensitivity Analysis for Zero-dimensional Multi-physics Lithium-Sulfur Battery Models.
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Study on Classification of Flue-cured Tobacco Planting area Based on Different Clustering Analysis Methods.
Proceedings of the EBIMCS 2020: 3rd International Conference on E-Business, 2020
Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Formulation and Comparison of Two Real-Time Predictive Gear Shift Algorithms for Connected/Automated Heavy-Duty Vehicles.
IEEE Trans. Veh. Technol., 2019
Using the Area Ratio to Differentiate Between Benign and Malignant Breast Lesions: Ultrasound Strain Elastography versus Contrast Enhanced Ultrasound.
J. Medical Imaging Health Informatics, 2019
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions.
CoRR, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Mining Rules from Real-Valued Time Series: A Relative Information-Gain-Based Approach.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018
Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018
A Dynamic Programming-Based Real-Time Predictive Optimal Gear Shift Strategy for Conventional Heavy-Duty Vehicles.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Proc. VLDB Endow., 2017
2016
Proc. VLDB Endow., 2016
Proceedings of the 2016 International Conference on Management of Data, 2016
Proceedings of the 2016 International Conference on Management of Data, 2016
2015
Proc. VLDB Endow., 2015
Found. Trends Databases, 2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
2014
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014
2013
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
1999
Proceedings of the 1999 ACM CIKM International Conference on Information and Knowledge Management, 1999