Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Flames: Benchmarking Value Alignment of LLMs in Chinese.

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[DOI]

Kexin Huang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games.

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[DOI]

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

Position: Relational Deep Learning - Graph Representation Learning on Relational Databases.

[BibT_eX]

[DOI]

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

On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection.

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[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding Gaussian Noise Mismatch: A Hellinger Distance Approach.

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[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models.

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[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Sincere or Falsehearted? Investigation of Online Reviews and Merchant Response.

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[DOI]

Int. J. Electron. Commer., April, 2023

AgeAnno: a knowledgebase of single-cell annotation of aging in human.

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[DOI]

Nucleic Acids Res., January, 2023

Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing.

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[DOI]

IEEE Trans. Vis. Comput. Graph., 2023

Inferring evolutionary trajectories from cross-sectional transcriptomic data to mirror lung adenocarcinoma progression.

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[DOI]

PLoS Comput. Biol., 2023

Scientific discovery in the age of artificial intelligence.

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[DOI]

Nat., 2023

Relational Deep Learning: Graph Representation Learning on Relational Databases.

[BibT_eX]

[DOI]

CoRR, 2023

Flames: Benchmarking Value Alignment of Chinese Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph.

[BibT_eX]

[DOI]

CoRR, 2023

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

High dimensional, tabular deep learning with an auxiliary knowledge graph.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Second Learning on Graphs Conference: Preface.

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[DOI]

Soledad Villar

Benjamin Paul Chamberlain

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Towards Efficient On-Chip Learning for Spiking Neural Networks Accelerator with Surrogate Gradient.

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[DOI]

Proceedings of the IEEE International Conference on Integrated Circuits, 2023

Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning.

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[DOI]

Yukun Cao

Xike Xie

Kexin Huang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Defense Against Adversarial Attack on Knowledge Graph Embedding.

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[DOI]

Proceedings of the Emerging Trends in Cybersecurity Applications, 2023

2022

Generalized Additive Model Reveals Nonlinear Trade-Offs/Synergies between Relationships of Ecosystem Services for Mountainous Areas of Southwest China.

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[DOI]

Remote. Sens., 2022

HINT: Hierarchical interaction network for clinical-trial-outcome predictions.

[BibT_eX]

[DOI]

Patterns, 2022

TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Identification of non-small-cell lung cancer subtypes by unsupervised clustering of CT image features with distinct prognoses and gene pathway activities.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2022

Infrastructure for Rapid Open Knowledge Network Development.

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[DOI]

AI Mag., 2022

Uncertainty-aware pseudo-labeling for quantum calculations.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The First Learning on Graphs Conference: Preface.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration.

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[DOI]

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Research on social media tweet classification of rainstorm disaster based on XGBoost model.

[BibT_eX]

[DOI]

Proceedings of the CAIBDA 2022, 2022

2021

Machine learning applications for therapeutic tasks with genomics data.

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[DOI]

Patterns, 2021

Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study.

[BibT_eX]

[DOI]

Kexin Huang

Tamryn F. Gray

Santiago Romero-Brufau

James A. Tulsky

Charlotta Lindvall

J. Am. Medical Informatics Assoc., 2021

Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities.

[BibT_eX]

[DOI]

Michelle M. Li

Kexin Huang

Marinka Zitnik

CoRR, 2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics.

[BibT_eX]

[DOI]

CoRR, 2021

HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data.

[BibT_eX]

[DOI]

CoRR, 2021

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization.

[BibT_eX]

[DOI]

Bioinform., 2021

MolTrans: Molecular Interaction Transformer for drug-target interaction prediction.

[BibT_eX]

[DOI]

Bioinform., 2021

DeepPurpose: a deep learning library for drug-target interaction prediction.

[BibT_eX]

[DOI]

Bioinform., 2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SPEAR: self-supervised post-training enhancer for molecule optimization.

[BibT_eX]

[DOI]

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection.

[BibT_eX]

[DOI]

Kexin Huang

Rodrigo Frassetto Nogueira

Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

An Interpretable End-to-end Fine-tuning Approach for Long Clinical Text.

[BibT_eX]

[DOI]

Kexin Huang

Sankeerth Garapati

Alexander S. Rich

CoRR, 2020

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks.

[BibT_eX]

[DOI]

CoRR, 2020

DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Meta Learning via Local Subgraphs.

[BibT_eX]

[DOI]

Kexin Huang

Marinka Zitnik

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pairwise-Based Hierarchical Gating Networks for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2020

Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation.

[BibT_eX]

[DOI]

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

CASTER: Predicting Drug Interactions with Chemical Substructure Representation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

[BibT_eX]

[DOI]

Kexin Huang

Jaan Altosaar

Rajesh Ranganath

CoRR, 2019

Social-Aware and Sequential Embedding for Cold-Start Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2019

2018

EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection.

[BibT_eX]

[DOI]

Kexin Huang

Rodrigo Frassetto Nogueira

CoRR, 2018

Content-Based Image Retrieval using Generated Textual Meta-Data.

[BibT_eX]

[DOI]

Kexin Huang

Proceedings of the 2nd International Conference on Advances in Artificial Intelligence, 2018

Kexin Huang

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