Xia Ning

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Planning with Diffusion Models for Target-Oriented Dialogue Systems.

[BibT_eX]

[DOI]

Hanwen Du

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

\mathttGeLLM³O: Generalizing Large Language Models for Multi-property Molecule Optimization.

[BibT_eX]

[DOI]

Xiao Hu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Enhancing molecular property prediction with auxiliary learning and task-specific adaptation.

[BibT_eX]

[DOI]

J. Cheminformatics, December, 2024

Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, September, 2024

Intention enhanced mixed attentive model for session-based recommendation.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., July, 2024

SAR-CDSS: A Semi-Supervised Cross-Domain Object Detection from Optical to SAR Domain.

[BibT_eX]

[DOI]

Remote. Sens., March, 2024

Improving Anticancer Drug Selection and Prioritization via Neural Learning to Rank.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

RLSynC: Offline-Online Reinforcement Learning for Synthon Completion.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

log-RRIM: Yield Prediction via Local-to-global Reaction Representation Learning and Interaction Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

Captions Speak Louder than Images (CASLIE): Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data.

[BibT_eX]

[DOI]

CoRR, 2024

LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset.

[BibT_eX]

[DOI]

CoRR, 2024

eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2023

Binding peptide generation for MHC Class I proteins with deep reinforcement learning.

[BibT_eX]

[DOI]

Bioinform., February, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization.

[BibT_eX]

[DOI]

Patrick J. Lawrence

CoRR, 2023

Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation.

[BibT_eX]

[DOI]

Ben Burns

CoRR, 2023

Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

RLSynC: Offline-Online Reinforcement Learning for Synthon Completion.

[BibT_eX]

[DOI]

Frazier N. Baker

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Precision Anti-Cancer Drug Selection via Neural Ranking.

[BibT_eX]

[DOI]

CoRR, 2023

T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy.

[BibT_eX]

[DOI]

CoRR, 2023

T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2023

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

[BibT_eX]

[DOI]

Athanasios N. Nikolakopoulos

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.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Trust Your Neighbors: A Comprehensive Survey of Neighborhood-Based Methods for Recommender Systems.

[BibT_eX]

[DOI]

Christian Desrosiers

Proceedings of the Recommender Systems Handbook, 2022

$\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2022

Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

G2Retro: Two-Step Graph Generative Models for Retrosynthesis Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation.

[BibT_eX]

[DOI]

Chang-Yu Tai

CoRR, 2022

Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Using recommender systems to improve proactive modeling.

[BibT_eX]

[DOI]

Arvind Nair

James H. Hill

Softw. Syst. Model., 2021

A deep generative model for molecule optimization via one fragment modification.

[BibT_eX]

[DOI]

Martin Renqiang Min

Nat. Mach. Intell., 2021

Hybrid collaborative filtering methods for recommending search terms to clinicians.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2021

Improving Compound Activity Classification via Deep Transfer and Representation Learning.

[BibT_eX]

[DOI]

Raghu Machiraju

Athanasios N. Nikolakopoulos

CoRR, 2021

Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems.

[BibT_eX]

[DOI]

Christian Desrosiers

CoRR, 2021

Use, Impact, Weaknesses, and Advanced Features of Search Functions for Clinical Use in Electronic Health Records: A Scoping Review.

[BibT_eX]

[DOI]

Appl. Clin. Inform., 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Patrick J. Lawrence

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.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., March, 2020

The International Conference on Intelligent Biology and Medicine 2019: computational methods for drug interactions.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., March, 2020

Drug Selection via Joint Push and Learning to Rank.

[BibT_eX]

[DOI]

Yicheng He

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2020

Correction to: The International Conference on Intelligent Biology and Medicine 2019: computational methods for drug interactions.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2020

Drug-drug interaction prediction based on co-medication patterns and graph matching.

[BibT_eX]

[DOI]

Int. J. Comput. Biol. Drug Des., 2020

Molecule Optimization via Fragment-based Generative Models.

[BibT_eX]

[DOI]

Martin Renqiang Min

CoRR, 2020

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

[BibT_eX]

[DOI]

Martin Renqiang Min

CoRR, 2020

Understanding Breast Implant Illness via Social Media Data Analysis.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Hybrid Collaborative Filtering Models for Clinical Search Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

HAM: Hybrid Associations Model with Pooling for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

2019

Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2019

CNN-based Dual-Chain Models for Knowledge Graph Learning.

[BibT_eX]

[DOI]

Renqiang Min

CoRR, 2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Grade Prediction Based on Cumulative Knowledge and Co-taken Courses.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Grade Prediction with Neural Collaborative Filtering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Deep Learning for High-Order Drug-Drug Interaction Prediction.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Pattern Discovery from High-Order Drug-Drug Interaction Relations.

[BibT_eX]

[DOI]

J. Heal. Informatics Res., 2018

Drug Recommendation toward Safe Polypharmacy.

[BibT_eX]

[DOI]

CoRR, 2018

Drug Selection via Joint Push and Learning to Rank.

[BibT_eX]

[DOI]

CoRR, 2018

ALE: Additive Latent Effect Models for Grade Prediction.

[BibT_eX]

[DOI]

Huzefa Rangwala

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Enhance E-Learning through Data Mining for Personalized Intervention.

[BibT_eX]

[DOI]

Lingma Lu Acheson

Proceedings of the 10th International Conference on Computer Supported Education, 2018

2017

Differential Compound Prioritization via Bidirectional Selectivity Push with Power.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., December, 2017

Multi-Assay-Based Compound Prioritization via Assistance Utilization: A Machine Learning Framework.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2017

Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Predicting High-Order Directional Drug-Drug Interaction Relations.

[BibT_eX]

[DOI]

Li Shen

Lang Li

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Grade Prediction with Temporal Course-wise Influence.

[BibT_eX]

[DOI]

Huzefa Rangwala

Proceedings of the 10th International Conference on Educational Data Mining, 2017

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

[BibT_eX]

[DOI]

Paola Gabriela Pesntez Cabrera

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2016

Kernelized Sparse Self-Representation for Clustering and Recommendation.

[BibT_eX]

[DOI]

Xiao Bian

Feng Li

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

PInfer: Learning to Infer Concurrent Request Paths from System Kernel Events.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

2015

A Comprehensive Survey of Neighborhood-Based Recommendation Methods.

[BibT_eX]

[DOI]

Christian Desrosiers

Proceedings of the Recommender Systems Handbook, 2015

Multi-Perspective Modeling for Click Event Prediction.

[BibT_eX]

[DOI]

Tzu-Chun Lin

Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

Recent Advances in Recommender Systems and Future Directions.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2015

Hierarchical Sparse Dictionary Learning.

[BibT_eX]

[DOI]

Xiao Bian

Geoff Jiang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection.

[BibT_eX]

[DOI]

Jiaji Huang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Discover and Tame Long-running Idling Processes in Enterprise Systems.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM Symposium on Information, 2015

2014

Interpretable Sparse High-Order Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

FISM: factored item similarity models for top-N recommender systems.

[BibT_eX]

[DOI]

Santosh Kabbur

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Improved Machine Learning Models for Predicting Selective Compounds.

[BibT_eX]

[DOI]

Michael A. Walters

J. Chem. Inf. Model., 2012

Multi-view learning via probabilistic latent semantic analysis.

[BibT_eX]

[DOI]

Inf. Sci., 2012

Sparse linear methods with side information for Top-N recommendations.

[BibT_eX]

[DOI]

Proceedings of the 21st World Wide Web Conference, 2012

2011

Semi-Supervised Convolution Graph Kernels for Relation Extraction.

[BibT_eX]

[DOI]

Yanjun Qi

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

SLIM: Sparse Linear Methods for Top-N Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Trends in Chemical Graph Data Mining.

[BibT_eX]

[DOI]

Nikil Wale

Proceedings of the Managing and Mining Graph Data, 2010

Multi-task Learning for Recommender System.

[BibT_eX]

[DOI]

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Huzefa Rangwala

J. Chem. Inf. Model., 2009

2008

The Set Classification Problem and Solution Methods.

[BibT_eX]

[DOI]