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 128 papers between 2015 and 2026.

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Timeline

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Bibliography

2026
Spatial-temporal clues based interactive message aggregation for multi-agent collaboration.
Frontiers Comput. Sci., December, 2026

Local and Global Contrastive Network for Unsupervised Graph Anomaly Detection.
ACM Trans. Knowl. Discov. Data, May, 2026

Guest Editorial: Special Section on Fuzzy Large Models: Bridging Uncertainty and Creativity.
IEEE Trans. Fuzzy Syst., April, 2026

Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language Models.
IEEE Trans. Comput. Soc. Syst., April, 2026

InterCLIP-MEP: Interactive CLIP and Memory-Enhanced Predictor for Multi-Modal Sarcasm Detection.
ACM Trans. Multim. Comput. Commun. Appl., February, 2026

FANet: Fovea Attention Network for Robust Aerial Geo-Localization Across Diverse Weather Conditions.
IEEE Trans. Image Process., 2026

Fair federated learning for weakly supervised nuclei segmentation via feature disentanglement.
Pattern Recognit., 2026

Robust multi-view regularization and reconstruction network for fraud detection with weak features.
Knowl. Based Syst., 2026

Legal knowledge infusion for large language models: A survey.
Inf. Fusion, 2026

Optimizing knowledge bias: An adaptive correction method for open knowledge graph construction.
Neurocomputing, 2026

A graph fraud detection model based on mutual information.
Neurocomputing, 2026

FKQG: Few-shot question generation from knowledge graph via large language model in-context learning.
Data Knowl. Eng., 2026

DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Understanding Interaction as You Need: Intention-Driven Pedestrian Behavior Prediction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Discovering Latent Facts from Context to Construct Richer Open Knowledge Graphs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
ReCL: A Plug-and-Play Module for Enhancing Generalized Category Discovery Using Transport-Based Method to Uncover the Relationship in Samples.
IEEE Trans. Neural Networks Learn. Syst., December, 2025

A Robust Graph Fraud Detection Model Based on Adversarial Reweighting.
IEEE Trans. Comput. Soc. Syst., December, 2025

Learning from Orthogonal Space with Multimodal Large Models for Generalized Few-shot Segmentation.
ACM Trans. Multim. Comput. Commun. Appl., November, 2025

A Evaluation-Based Large Model for Multi-Step Behavior Prediction in Intelligent Consumer Electronics.
IEEE Trans. Consumer Electron., August, 2025

Towards Fraud Detection via Fine-Grained Classification of User Behavior.
IEEE Trans. Big Data, August, 2025

Entangle-then-disentangle: a novel approach for enhancing large vision-language model.
Mach. Learn., August, 2025

WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization.
CoRR, August, 2025

Improving inference via rich path information and logic rules for document-level relation extraction.
Knowl. Inf. Syst., May, 2025

An Adaptive Meta-Reinforcement Learning Algorithm for Simulation to Reality in Dynamic Scene.
IEEE Trans. Intell. Veh., February, 2025

CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data.
IEEE Trans. Cybern., February, 2025

High Specificity Guided Cross-Domain Few-Shot Segmentation.
IEEE Trans. Multim., 2025

CAMeL: Cross-Modality Adaptive Meta-Learning for Text-Based Person Retrieval.
IEEE Trans. Inf. Forensics Secur., 2025

Shaping pre-trained language models for task-specific embedding generation via consistency calibration.
Neural Networks, 2025

MMGCL: Multi-scale and multi-channel graph contrastive learning for flight anomaly detection.
Knowl. Based Syst., 2025

Synthesizing global and local perspectives in contrastive learning for graph anomaly detection.
Knowl. Based Syst., 2025

Provide explainable clues: A generative traceable method for knowledge graph completion.
Knowl. Based Syst., 2025

SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptation.
Knowl. Based Syst., 2025

Contrastive zero-shot relational learning for knowledge graph completion.
Knowl. Based Syst., 2025

Density-Aware Early Fusion for Vehicle Collaborative Perception.
IEEE Intell. Transp. Syst. Mag., 2025

A Noise-Resistant Model for Graph-based Fraud Detection.
Inf. Process. Manag., 2025

Zero-shot sim-to-real transfer using Siamese-Q-Based reinforcement learning.
Inf. Fusion, 2025

Emotion inference of text based on counterfactual behavior knowledge.
Inf. Fusion, 2025

Spatial-temporal intention representation with multi-agent reinforcement learning for unmanned surface vehicles strategies learning in asset guarding task.
Eng. Appl. Artif. Intell., 2025

Enhancing Zero-Shot Knowledge Graph Relation Prediction through Large Language Models and Contrastive Learning.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Federated Graph Anomaly Detection via Disentangled Representation Learning.
Proceedings of the ACM on Web Conference 2025, 2025

A Masked AutoEncoder with Strong-Weak Mutual Information for Anomaly Detection in Dynamic Incomplete Graphs.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment.
Proceedings of the ACM on Web Conference 2025, 2025

FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Dynamic Shadow Unveils Invisible Semantics for Video Outpainting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

DiffuFuse: Diffusion-Driven Dual-Stream Fusion Framework for Multimodal Sentiment Analysis.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Test Time Prompt Adaption for Domain Generalization.
Proceedings of the International Joint Conference on Neural Networks, 2025

Feature Fusion Contrastive Learning and Adaptive Correction Framework for Unsupervised Graph Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2025

CANA: Enhancing Graph-Based Fraud Detection via Confidence-Aware Neighborhood Aggregation.
Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Pedestrian Trajectory Prediction Driven by Bidirectional Intention-Interaction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Endless Movie Maker: Zero-Shot Agent System for Making Long Video with Text.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Respiratory Sound Classification via Multi-view Feature Fusion with Enhanced Convolutional Neural Network and Audio Spectrogram Transformer.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

CLEAR: A Framework Enabling Large Language Models to Discern Confusing Legal Paragraphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

HDiff: Confidence-Guided Denoising Diffusion for Robust Hyper-relational Link Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

RLTR-LLM: A Temporal Knowledge Graph Few-Shot Out-Of-Graph Link Prediction Method Integrating RL-Based Temporal Retrieval and LLM Generation.
Proceedings of the IEEE International Conference on Big Data, 2025

Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams.
IEEE Trans. Knowl. Data Eng., December, 2024

DIE-CDK: A Discriminative Information Enhancement Method With Cross-Modal Domain Knowledge for Fine-Grained Ship Detection.
IEEE Trans. Circuits Syst. Video Technol., November, 2024

Enhancing Pre-trained Deep Learning Model with Self-Adaptive Reflection.
Cogn. Comput., November, 2024

IN-GFD: An Interpretable Graph Fraud Detection Model for Spam Reviews.
IEEE Trans. Artif. Intell., October, 2024

Geometric relation-based feature aggregation for 3D small object detection.
Appl. Intell., October, 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

DSCA: A Dual Semantic Correlation Alignment Method for domain adaptation object detection.
Pattern Recognit., 2024

HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning.
Knowl. Based Syst., 2024

Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts.
Knowl. Based Syst., 2024

Cognitive-based knowledge learning framework for recommendation.
Knowl. Based Syst., 2024

Knowledge-guided communication preference learning model for multi-agent cooperation.
Inf. Sci., 2024

Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative-competitive environments.
Inf. Fusion, 2024

Hierarchical Knowledge-Enhancement Framework for multi-hop knowledge graph reasoning.
Neurocomputing, 2024

Knowledge Graph Reasoning via Dynamic Subgraph Attention with Low Resource Computation.
Neurocomputing, 2024

Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection.
CoRR, 2024

Improving Inference via Rich Path Information for Dialogue Relation Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Homophilic and Heterophilic-Aware Sparse Graph Transformer for Financial Fraud Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

Divide and Conquer: Legal Concept-guided Criminal Court View Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Guided Knowledge Generation with Language Models for Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene.
Proceedings of the Computer Vision - ECCV 2024, 2024

Shadow-Enlightened Image Outpainting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

PTCSpell: Pre-trained Corrector Based on Character Shape and Pinyin for Chinese Spelling Correction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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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