Xia Ning
Orcid: 0000-0002-6842-1165
According to our database1,
Xia Ning
authored at least 96 papers
between 2005 and 2024.
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Bibliography
2024
Enhancing molecular property prediction with auxiliary learning and task-specific adaptation.
J. Cheminformatics, December, 2024
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation.
ACM Trans. Knowl. Discov. Data, September, 2024
Data Min. Knowl. Discov., July, 2024
SAR-CDSS: A Semi-Supervised Cross-Domain Object Detection from Optical to SAR Domain.
Remote. Sens., March, 2024
J. Chem. Inf. Model., 2024
J. Chem. Inf. Model., 2024
Captions Speak Louder than Images (CASLIE): Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data.
CoRR, 2024
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search.
CoRR, 2024
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.
CoRR, 2024
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework.
CoRR, 2024
LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset.
CoRR, 2024
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
M<sup>2</sup>: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation.
IEEE Trans. Knowl. Data Eng., April, 2023
Binding peptide generation for MHC Class I proteins with deep reinforcement learning.
Bioinform., February, 2023
CoRR, 2023
Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization.
CoRR, 2023
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation.
CoRR, 2023
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation.
CoRR, 2023
CoRR, 2023
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy.
CoRR, 2023
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy.
Proceedings of the Research in Computational Molecular Biology, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
A Multi-Layered GRU Model for COVID-19 Patient Representation and Phenotyping from Large-Scale EHR Data.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
2022
Trust Your Neighbors: A Comprehensive Survey of Neighborhood-Based Methods for Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2022
$\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., 2022
Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources.
J. Biomed. Informatics, 2022
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation.
CoRR, 2022
CoRR, 2022
Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation.
CoRR, 2022
Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Nat. Mach. Intell., 2021
J. Biomed. Informatics, 2021
Improving Compound Activity Classification via Deep Transfer and Representation Learning.
CoRR, 2021
Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems.
CoRR, 2021
Use, Impact, Weaknesses, and Advanced Features of Search Functions for Clinical Use in Electronic Health Records: A Scoping Review.
Appl. Clin. Inform., 2021
Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021
Improving MHC Class I Antigen Processing Prediction via Representation Learning and Cleavage Site-Specific Kernels.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Mining and visualizing high-order directional drug interaction effects using the FAERS database.
BMC Medical Informatics Decis. Mak., March, 2020
The International Conference on Intelligent Biology and Medicine 2019: computational methods for drug interactions.
BMC Medical Informatics Decis. Mak., March, 2020
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data.
BMC Medical Informatics Decis. Mak., 2020
Correction to: The International Conference on Intelligent Biology and Medicine 2019: computational methods for drug interactions.
BMC Medical Informatics Decis. Mak., 2020
Int. J. Comput. Biol. Drug Des., 2020
Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction.
CoRR, 2020
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering.
CoRR, 2020
M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation.
CoRR, 2020
CoRR, 2020
Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
CoRR, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Proceedings of the 12th International Conference on Educational Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
J. Heal. Informatics Res., 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Proceedings of the 10th International Conference on Computer Supported Education, 2018
2017
J. Chem. Inf. Model., December, 2017
Multi-Assay-Based Compound Prioritization via Assistance Utilization: A Machine Learning Framework.
J. Chem. Inf. Model., 2017
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017
Proceedings of the 10th International Conference on Educational Data Mining, 2017
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs.
CoRR, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016
2015
Proceedings of the Recommender Systems Handbook, 2015
Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015
Proceedings of the Pattern Recognition and Machine Intelligence, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 10th ACM Symposium on Information, 2015
2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
2012
J. Chem. Inf. Model., 2012
Proceedings of the 21st World Wide Web Conference, 2012
2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
2010
Proceedings of the Managing and Mining Graph Data, 2010
Proceedings of the 2nd Asian Conference on Machine Learning, 2010
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
2009
Multi-Assay-Based Structure-Activity Relationship Models: Improving Structure-Activity Relationship Models by Incorporating Activity Information from Related Targets.
J. Chem. Inf. Model., 2009
2008
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2005
Proceedings of the Sixth International Conference on Parallel and Distributed Computing, 2005