Hang Yu

Orcid: 0000-0003-3444-9992

Affiliations:
  • Shanghai University, China
  • University of Technology Sydney, Sydney, NSW, Australia


According to our database1, Hang Yu authored at least 49 papers between 2015 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Concept Drift Adaptation by Exploiting Drift Type.
ACM Trans. Knowl. Discov. Data, May, 2024

WordTransABSA: Enhancing Aspect-based Sentiment Analysis with masked language modeling for affective token prediction.
Expert Syst. Appl., March, 2024

Multi-Label Text Classification Model Based on Multi-Level Constraint Augmentation and Label Association Attention.
ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2024

Barely Supervised Learning for Graph-Based Fraud Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Fintech Key-Phrase: A New Chinese Financial High-Tech Dataset Accelerating Expression-Level Information Retrieval.
ACM Trans. Asian Low Resour. Lang. Inf. Process., November, 2023

Can we improve meta-learning model in few-shot learning by aligning data distributions?
Knowl. Based Syst., October, 2023

Incremental event detection via an improved knowledge distillation based model.
Neurocomputing, September, 2023

LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection.
IEEE Trans. Big Data, August, 2023

Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis.
Inf. Process. Manag., May, 2023

DAFS: a domain aware few shot generative model for event detection.
Mach. Learn., March, 2023

Detecting group concept drift from multiple data streams.
Pattern Recognit., 2023

Recurrent prediction model for partially observable MDPs.
Inf. Sci., 2023

THFE: A Triple-hierarchy Feature Enhancement method for tiny boat detection.
Eng. Appl. Artif. Intell., 2023

Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning.
Data Min. Knowl. Discov., 2023

Graph-Based Competence Model for Concept Drift Detection.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Event Extraction Based on the Fusion of Dynamic Prompt Information and Multi-Dimensional Features.
Proceedings of the International Joint Conference on Neural Networks, 2023

ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2023

HCTA: Hierarchical Cooperative Task Allocation in Multi-Agent Reinforcement Learning.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022
MORStreaming: A Multioutput Regression System for Streaming Data.
IEEE Trans. Syst. Man Cybern. Syst., 2022

An Online Robust Support Vector Regression for Data Streams.
IEEE Trans. Knowl. Data Eng., 2022

Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning.
IEEE Trans. Intell. Transp. Syst., 2022

Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression.
IEEE Trans. Fuzzy Syst., 2022

Continuous Support Vector Regression for Nonstationary Streaming Data.
IEEE Trans. Cybern., 2022

ET-HF: A novel information sharing model to improve multi-agent cooperation.
Knowl. Based Syst., 2022

Joint event causality extraction using dual-channel enhanced neural network.
Knowl. Based Syst., 2022

Meta-ADD: A meta-learning based pre-trained model for concept drift active detection.
Inf. Sci., 2022

Multi-label disaster text classification via supervised contrastive learning for social media data.
Comput. Electr. Eng., 2022

Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

DBGARE: Across-Within Dual Bipartite Graph Attention for Enhancing Distantly Supervised Relation Extraction.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Transfer Learning for Regression through Adaptive Gaussian Process.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Offline Reinforcement Learning via Policy Regularization and Ensemble Q-Functions.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Learning from Suboptimal Demonstration via Trajectory-Ranked Adversarial Imitation.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Global Interest Transfer Guided Session-based Recommendation.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

SNSE: State Novelty Sampling Exploration.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
Streaming Data Regression
PhD thesis, 2021

Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning.
CoRR, 2021

Automatic Learning to Detect Concept Drift.
CoRR, 2021

CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020
Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2020

Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019
A Hybrid Incremental Regression Neural Network for Uncertain Data Streams.
Proceedings of the International Joint Conference on Neural Networks, 2019

Query recommendation based on improved query flow graph<sup>*</sup>.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
An Incremental Dual nu-Support Vector Regression Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Dual Neural Network Based On Confidence Intervals For Fuzzy Random Regression Problems.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Learning a fuzzy decision tree from uncertain data.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

2016
A novel rolling bearing fault diagnosis method.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016

2015
Research on Automate Discovery of Deep Web Interfaces.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Research on Extract the Schema of Query Interfaces.
Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015


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