Jie Yin

Orcid: 0000-0002-2063-8437

Affiliations:
  • University of Sydney, Business School, Discipline of Business Analytics, Sydney, Australia
  • Commonwealth Scientific and Industrial Research Organisation (CSIRO), ICT Centre, Sydney, Australia (2007 - 2017)
  • Hong Kong University of Science and Technology, Hong Kong (PhD 2006)


According to our database1, Jie Yin authored at least 86 papers between 2003 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2025
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment.
Data Min. Knowl. Discov., September, 2025

Prompted Meta-Learning for Few-shot Knowledge Graph Completion.
CoRR, May, 2025

Multi-Granular Attention based Heterogeneous Hypergraph Neural Network.
CoRR, May, 2025

Quasi-framelets: robust graph neural networks via adaptive framelet convolution.
Int. J. Mach. Learn. Cybern., February, 2025

FS-GNN: Improving Fairness in Graph Neural Networks via Joint Sparsification.
Neurocomputing, 2025

2024
SPZ: A Semantic Perturbation-based Data Augmentation Method with Zonal-Mixing for Alzheimer's Disease Detection.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
LADDER: Latent boundary-guided adversarial training.
Mach. Learn., October, 2023

Link Prediction with Contextualized Self-Supervision.
IEEE Trans. Knowl. Data Eng., July, 2023

Informative pseudo-labeling for graph neural networks with few labels.
Data Min. Knowl. Discov., 2023

Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Latent Boundary-guided Adversarial Training.
CoRR, 2022

Quasi-Framelets: Another Improvement to GraphNeural Networks.
CoRR, 2022

Edge but not Least: Cross-View Graph Pooling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
SEAL: Semisupervised Adversarial Active Learning on Attributed Graphs.
IEEE Trans. Neural Networks Learn. Syst., 2021

Search Efficient Binary Network Embedding.
ACM Trans. Knowl. Discov. Data, 2021

Unified Robust Training for Graph NeuralNetworks against Label Noise.
CoRR, 2021

Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss.
CoRR, 2021

Human-Understandable Decision Making for Visual Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Unified Robust Training for Graph Neural Networks Against Label Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020
SMINT: Toward Interpretable and Robust Model Sharing for Deep Neural Networks.
ACM Trans. Web, 2020

Sequence Classification Restricted Boltzmann Machines With Gated Units.
IEEE Trans. Neural Networks Learn. Syst., 2020

Network Representation Learning: A Survey.
IEEE Trans. Big Data, 2020

2019
Data Subset Selection With Imperfect Multiple Labels.
IEEE Trans. Neural Networks Learn. Syst., 2019

Introduction to the Special Issue on AI for Disaster Management and Resilience.
IEEE Intell. Syst., 2019

Attributed network embedding via subspace discovery.
Data Min. Knowl. Discov., 2019

Semi-supervised Adversarial Active Learning on Attributed Graphs.
CoRR, 2019

Latent Adversarial Defence with Boundary-guided Generation.
CoRR, 2019

2018
Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases.
BMC Bioinform., 2018

Sharing Deep Neural Network Models with Interpretation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

The 5th International Workshop on Social Web for Disaster Management(SWDM'18): Collective Sensing, Trust, and Resilience in Global Crises.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Human Identification via Unsupervised Feature Learning from UWB Radar Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

SINE: Scalable Incomplete Network Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Active Multitask Learning With Trace Norm Regularization Based on Excess Risk.
IEEE Trans. Cybern., 2017

A multiple-instance stream learning framework for adaptive document categorization.
Knowl. Based Syst., 2017

Push Notifications in Diet Apps: Influencing Engagement Times and Tasks.
Int. J. Hum. Comput. Interact., 2017

Interpreting Shared Deep Learning Models via Explicable Boundary Trees.
CoRR, 2017

User Profile Preserving Social Network Embedding.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Supervised sampling for networked data.
Signal Process., 2016

Modeling Mobile Cellular Networks Based on Social Characteristics.
Int. J. Comput. Commun. Control, 2016

Active exploration for large graphs.
Data Min. Knowl. Discov., 2016

Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors.
Proceedings of the Inclusive Smart Cities and Digital Health, 2016

Homophily, Structure, and Content Augmented Network Representation Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

The Fourth International Workshop on Social Web for Disaster Management (SWDM 2016).
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Submodular Asymmetric Feature Selection in Cascade Object Detection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs.
IEEE Trans. Knowl. Data Eng., 2015

Evaluation Methods for Statistically Dependent Text.
Comput. Linguistics, 2015

Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Modelling social characteristics of mobile radio networks.
Proceedings of the IEEE International Conference on Communication, 2015

Unsupervised daily routine and activity discovery in smart homes.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Pinpointing Locational Focus in Microblogs.
Proceedings of the 2014 Australasian Document Computing Symposium, 2014

Active Learning for Crowdsourcing Using Knowledge Transfer.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Location extraction from disaster-related microblogs.
Proceedings of the 22nd International World Wide Web Conference, 2013

Active Class Discovery and Learning for Networked Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Knowledge Transfer for Multi-labeler Active Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Transfer Learning across Networks for Collective Classification.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Active exploration: simultaneous sampling and labeling for large graphs.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Classifying microblogs for disasters.
Proceedings of the Australasian Document Computing Symposium, 2013

2012
Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Using Social Media to Enhance Emergency Situation Awareness.
IEEE Intell. Syst., 2012

Emergency situation awareness from twitter for crisis management.
Proceedings of the 21st World Wide Web Conference, 2012

Unifying Local and Global Agreement and Disagreement Classification in Online Debates.
Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis, 2012

Searching and Filtering Tweets: CSIRO at the TREC 2012 Microblog Track.
Proceedings of The Twenty-First Text REtrieval Conference, 2012

ESA: emergency situation awareness via microbloggers.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Similarity-Based Approach for Positive and Unlabeled Learning.
Proceedings of the IJCAI 2011, 2011

2010
SMILE: A Similarity-Based Approach for Multiple Instance Learning.
Proceedings of the ICDM 2010, 2010

Exploiting Local Data Uncertainty to Boost Global Outlier Detection.
Proceedings of the ICDM 2010, 2010

2009
Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields.
Proceedings of the IJCAI 2009, 2009

Abnormal Activity Recognition Based on HDP-HMM Models.
Proceedings of the IJCAI 2009, 2009

2008
Activity recognition via user-trace segmentation.
ACM Trans. Sens. Networks, 2008

Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation.
IEEE Trans. Mob. Comput., 2008

Sensor-Based Abnormal Human-Activity Detection.
IEEE Trans. Knowl. Data Eng., 2008

Clustering Distributed Time Series in Sensor Networks.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Extracting Actionable Knowledge from Decision Trees.
IEEE Trans. Knowl. Data Eng., 2007

2006
Query enrichment for web-query classification.
ACM Trans. Inf. Syst., 2006

Power-Efficient Access-Point Selection for Indoor Location Estimation.
IEEE Trans. Knowl. Data Eng., 2006

2005
Q<sup>2</sup>C@UST: our winning solution to query classification in KDDCUP 2005.
SIGKDD Explor., 2005

Adaptive Temporal Radio Maps for Indoor Location Estimation.
Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications (PerCom 2005), 2005

Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Activity Recognition through Goal-Based Segmentation.
Proceedings of the Proceedings, 2005

2004
LEAPS: A Location Estimation and Action Prediction System in a Wireless LAN Environment.
Proceedings of the Network and Parallel Computing, IFIP International Conference, 2004

High-Level Goal Recognition in a Wireless LAN.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Postprocessing Decision Trees to Extract Actionable Knowledge.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003


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