Kexin Huang

Orcid: 0009-0001-4868-0952

According to our database1, Kexin Huang authored at least 49 papers between 2018 and 2024.

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Bibliography

2024
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.
CoRR, 2024

2023
Sincere or Falsehearted? Investigation of Online Reviews and Merchant Response.
Int. J. Electron. Commer., April, 2023

AgeAnno: a knowledgebase of single-cell annotation of aging in human.
Nucleic Acids Res., January, 2023

Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing.
IEEE Trans. Vis. Comput. Graph., 2023

Inferring evolutionary trajectories from cross-sectional transcriptomic data to mirror lung adenocarcinoma progression.
PLoS Comput. Biol., 2023

Scientific discovery in the age of artificial intelligence.
Nat., 2023

Relational Deep Learning: Graph Representation Learning on Relational Databases.
CoRR, 2023

Flames: Benchmarking Value Alignment of Chinese Large Language Models.
CoRR, 2023

Fake Alignment: Are LLMs Really Aligned Well?
CoRR, 2023

Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph.
CoRR, 2023

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Efficient On-Chip Learning for Spiking Neural Networks Accelerator with Surrogate Gradient.
Proceedings of the IEEE International Conference on Integrated Circuits, 2023

Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Defense Against Adversarial Attack on Knowledge Graph Embedding.
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.
Remote. Sens., 2022

HINT: Hierarchical interaction network for clinical-trial-outcome predictions.
Patterns, 2022

TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks.
CoRR, 2022

Identification of non-small-cell lung cancer subtypes by unsupervised clustering of CT image features with distinct prognoses and gene pathway activities.
Biomed. Signal Process. Control., 2022

Infrastructure for Rapid Open Knowledge Network Development.
AI Mag., 2022

Uncertainty-aware pseudo-labeling for quantum calculations.
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.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Research on social media tweet classification of rainstorm disaster based on XGBoost model.
Proceedings of the CAIBDA 2022, 2022

2021
Machine learning applications for therapeutic tasks with genomics data.
Patterns, 2021

Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study.
J. Am. Medical Informatics Assoc., 2021

Representation Learning for Networks in Biology and Medicine: Advancements, Challenges, and Opportunities.
CoRR, 2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics.
CoRR, 2021

HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data.
CoRR, 2021

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization.
Bioinform., 2021

MolTrans: Molecular Interaction Transformer for drug-target interaction prediction.
Bioinform., 2021

DeepPurpose: a deep learning library for drug-target interaction prediction.
Bioinform., 2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SPEAR: self-supervised post-training enhancer for molecule optimization.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection.
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.
CoRR, 2020

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning.
CoRR, 2020

SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks.
CoRR, 2020

DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit.
CoRR, 2020

Graph Meta Learning via Local Subgraphs.
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.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

CASTER: Predicting Drug Interactions with Chemical Substructure Representation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.
CoRR, 2019

Social-Aware and Sequential Embedding for Cold-Start Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2019

2018
EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection.
CoRR, 2018

Content-Based Image Retrieval using Generated Textual Meta-Data.
Proceedings of the 2nd International Conference on Advances in Artificial Intelligence, 2018


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