Xia Ning

Orcid: 0000-0002-6842-1165

According to our database1, Xia Ning authored at least 89 papers between 2005 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
SAR-CDSS: A Semi-Supervised Cross-Domain Object Detection from Optical to SAR Domain.
Remote. Sens., March, 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.
CoRR, 2024

Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation.
CoRR, 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

Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation.
CoRR, 2023

Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing.
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

RLSynC: Offline-Online Reinforcement Learning for Synthon Completion.
CoRR, 2023

Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models.
CoRR, 2023

Precision Anti-Cancer Drug Selection via Neural Ranking.
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

HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract).
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

G<sup>2</sup>Retro: Two-Step Graph Generative Models for Retrosynthesis Prediction.
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
Using recommender systems to improve proactive modeling.
Softw. Syst. Model., 2021

A deep generative model for molecule optimization via one fragment modification.
Nat. Mach. Intell., 2021

Hybrid collaborative filtering methods for recommending search terms to clinicians.
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

Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors.
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

Drug Selection via Joint Push and Learning to Rank.
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

Drug-drug interaction prediction based on co-medication patterns and graph matching.
Int. J. Comput. Biol. Drug Des., 2020

Molecule Optimization via Fragment-based Generative Models.
CoRR, 2020

Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction.
CoRR, 2020

Understanding Breast Implant Illness via Social Media Data Analysis.
CoRR, 2020

Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering.
CoRR, 2020

Hybrid Collaborative Filtering Models for Clinical Search Recommendation.
CoRR, 2020

M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation.
CoRR, 2020

HAM: Hybrid Associations Model with Pooling for Sequential Recommendation.
CoRR, 2020

Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
CoRR, 2020

2019
Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database.
IEEE J. Biomed. Health Informatics, 2019

CNN-based Dual-Chain Models for Knowledge Graph Learning.
CoRR, 2019

Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.
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

Grade Prediction Based on Cumulative Knowledge and Co-taken Courses.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Grade Prediction with Neural Collaborative Filtering.
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

Deep Learning for High-Order Drug-Drug Interaction Prediction.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018
Pattern Discovery from High-Order Drug-Drug Interaction Relations.
J. Heal. Informatics Res., 2018

Drug Recommendation toward Safe Polypharmacy.
CoRR, 2018

Drug Selection via Joint Push and Learning to Rank.
CoRR, 2018

ALE: Additive Latent Effect Models for Grade Prediction.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Enhance E-Learning through Data Mining for Personalized Intervention.
Proceedings of the 10th International Conference on Computer Supported Education, 2018

2017
Differential Compound Prioritization via Bidirectional Selectivity Push with Power.
J. Chem. Inf. Model., December, 2017

Multi-Assay-Based Compound Prioritization via Assistance Utilization: A Machine Learning Framework.
J. Chem. Inf. Model., 2017

Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Predicting High-Order Directional Drug-Drug Interaction Relations.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Grade Prediction with Temporal Course-wise Influence.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Differential Compound Prioritization via Bi-Directional Selectivity Push with Power.
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

Kernelized Sparse Self-Representation for Clustering and Recommendation.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

PInfer: Learning to Infer Concurrent Request Paths from System Kernel Events.
Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

2015
A Comprehensive Survey of Neighborhood-Based Recommendation Methods.
Proceedings of the Recommender Systems Handbook, 2015

Multi-Perspective Modeling for Click Event Prediction.
Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

Recent Advances in Recommender Systems and Future Directions.
Proceedings of the Pattern Recognition and Machine Intelligence, 2015

Hierarchical Sparse Dictionary Learning.
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

Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Discover and Tame Long-running Idling Processes in Enterprise Systems.
Proceedings of the 10th ACM Symposium on Information, 2015

2014
Interpretable Sparse High-Order Boltzmann Machines.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
FISM: factored item similarity models for top-N recommender systems.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Improved Machine Learning Models for Predicting Selective Compounds.
J. Chem. Inf. Model., 2012

Multi-view learning via probabilistic latent semantic analysis.
Inf. Sci., 2012

Sparse linear methods with side information for Top-N recommendations.
Proceedings of the 21st World Wide Web Conference, 2012

2011
Semi-Supervised Convolution Graph Kernels for Relation Extraction.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

SLIM: Sparse Linear Methods for Top-N Recommender Systems.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Trends in Chemical Graph Data Mining.
Proceedings of the Managing and Mining Graph Data, 2010

Multi-task Learning for Recommender System.
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
The Set Classification Problem and Solution Methods.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2005
Scalable Parallel Quadrilateral Mesh Generation Coupled with Mesh Partitioning.
Proceedings of the Sixth International Conference on Parallel and Distributed Computing, 2005


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