Xiao Huang

Orcid: 0000-0002-3867-900X

Affiliations:
  • Hong Kong Polytechnic University, Department of Computing, Hong Kong
  • Texas A&M University, TX, USA (PhD 2020)
  • Illinois Institute of Technology, Chicago, USA (former)


According to our database1, Xiao Huang authored at least 69 papers between 2015 and 2024.

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Bibliography

2024
Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding.
IEEE Trans. Knowl. Data Eng., April, 2024

Learning Hierarchical Task Structures for Few-shot Graph Classification.
ACM Trans. Knowl. Discov. Data, April, 2024

Collaborative Graph Neural Networks for Attributed Network Embedding.
IEEE Trans. Knowl. Data Eng., March, 2024

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.
CoRR, 2024

2023
Toward an Edu-Metaverse of Knowledge: Immersive Exploration of University Courses.
IEEE Trans. Learn. Technol., December, 2023

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation.
IEEE Trans. Knowl. Data Eng., December, 2023

Transmit-Receive Sparse Synthesis of Linear Frequency Diverse Array in Range-Angle Space Using Genetic Algorithm.
Sensors, March, 2023

Residual-Hypergraph Convolution Network: A Model-Based and Data-Driven Integrated Approach for Fault Diagnosis in Complex Equipment.
IEEE Trans. Instrum. Meas., 2023

Collaborative Graph Neural Networks for Attributed Network Embedding.
CoRR, 2023

Towards Personalized Cold-Start Recommendation with Prompts.
CoRR, 2023

Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs.
Proceedings of the ACM Web Conference 2023, 2023

S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Active Ensemble Learning for Knowledge Graph Error Detection.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Aligning Distillation For Cold-start Item Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Interest Driven Graph Structure Learning for Session-Based Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Gradual Study Advising with Course Knowledge Graphs.
Proceedings of the Advances in Web-Based Learning - ICWL 2023, 2023

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations.
Proceedings of the International Conference on Machine Learning, 2023

Error Detection on Knowledge Graphs with Triple Embedding.
Proceedings of the 31st European Signal Processing Conference, 2023

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization.
J. Intell. Manuf., 2022

Auto-GNN: Neural architecture search of graph neural networks.
Frontiers Big Data, 2022

College-Related Question Answering based on Knowledge Graph.
IEEE Data Eng. Bull., 2022

MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning.
CoRR, 2022

QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks.
CoRR, 2022

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations.
CoRR, 2022

GPatch: Patching Graph Neural Networks for Cold-Start Recommendations.
CoRR, 2022

Graph Contrastive Learning with Personalized Augmentation.
CoRR, 2022

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs.
CoRR, 2022

Fair Benchmark for Unsupervised Node Representation Learning.
Algorithms, 2022

Generative Adversarial Framework for Cold-Start Item Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Contrastive Attributed Network Anomaly Detection with Data Augmentation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Towards a Metaverse of Knowledge - A Constructivist Proposition on Immersive Learning and Visual Literacy.
Proceedings of the Learning Technologies and Systems, 2022

Constructing Low-Redundant and High-Accuracy Knowledge Graphs for Education.
Proceedings of the Learning Technologies and Systems, 2022

Intelligent Instructional Design via Interactive Knowledge Graph Editing.
Proceedings of the Learning Technologies and Systems, 2022

KCUBE: A Knowledge Graph University Curriculum Framework for Student Advising and Career Planning.
Proceedings of the Blended Learning: Engaging Students in the New Normal Era, 2022

Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Contrastive Knowledge Graph Error Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Temporal Augmented Graph Neural Networks for Session-Based Recommendations.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Graph Alignment with Wasserstein Distance Discriminator.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Subtractive Aggregation for Attributed Network Anomaly Detection.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

REFORM: Error-Aware Few-Shot Knowledge Graph Completion.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Dynamic Memory based Attention Network for Sequential Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020.
SIGIR Forum, 2020

Towards Deeper Graph Neural Networks with Differentiable Group Normalization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-Channel Graph Neural Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Scalable Social Tie Strength Measuring.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Multi-Channel Graph Convolutional Networks.
CoRR, 2019

Auto-GNN: Neural Architecture Search of Graph Neural Networks.
CoRR, 2019

Multi-Label Adversarial Perturbations.
CoRR, 2019

Knowledge Graph Embedding Based Question Answering.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Graph Recurrent Networks With Attributed Random Walks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning From Networks: Algorithms, Theory, and Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Large-Scale Heterogeneous Feature Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks.
ACM Trans. Knowl. Discov. Data, 2018

Exploring Expert Cognition for Attributed Network Embedding.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

On Interpretation of Network Embedding via Taxonomy Induction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-label Adversarial Perturbations.
Proceedings of the IEEE International Conference on Data Mining, 2018

Link Prediction With Personalized Social Influence.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Label Informed Attributed Network Embedding.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Accelerated Attributed Network Embedding.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Multi-Aspect Streaming Tensor Completion.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Accelerated Local Anomaly Detection via Resolving Attributed Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015
Index coding and network coding via rank minimization.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015


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