百晓学者学者目录

余航

博士生导师、教授、研究员、讲师,上海大学

精选作品

期刊论文

2026

基于强-弱互信息掩码学习的可解释动态不完整图异常检测

骆祥峰,顾峻铨,余航

《软件学报》

2026

一种基于多样性对比搜索解码的影像报告生成方法

余航,蒙佳健,余绍德,孙秋瑞

《现代电子技术》

2026

Domain temporal reasoning of large language models based on multi-source knowledge

Xinzhi Wang, Junyi Fang, Hang Yu, Zhilu Zhang, Siyuan Su, Hui Zhang

Knowledge-Based Systems

2026

Learning with Blacklists on Graphs via Prototype-Guided Dual-Frequency Filtering

Z. Q. Liu, Hang Yu

Transactions on Graph Intelligence and Network Applications

2026

F2-Gen: An Open-Source Web Platform for Scenario-Driven Financial Fraud Data Simulation

Junchuan Gu, Zehao Gong, Runchen Ji, Kun Shi, Xiangfeng Luo, Hang Yu

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

2026

TGNN: A Teacher-Guided Graph Neural Network Framework for Semi-supervised Learning on Non-stationary Streaming Data

Shukun Li, Hang Yu, Yimin Wen, Huafu Xu

Lecture notes in computer science

2026

A semi-supervised fraud detection model based on fuzzy graph neural networks

Z. Q. Liu, Hang Yu, Xiangfeng Luo

Applied Soft Computing

2026

Mining latent clue chains to enhance performance in few-shot out-of-graph link prediction in temporal knowledge graphs

Ziqi Ma, Jinpeng Li, Yimin Wen, Hang Yu

Knowledge-Based Systems

2026

Mitigating label noise in graph learning with information bottleneck-guided aggregation and adversarial consistency

Zhengyang Liu, Hang Yu, Xiangfeng Luo

Pattern Recognition

2026

Hop-wise Planning with Iterative Explainable Self-Correction for Knowledge Base Question Answering

Dian Huang, Jianqi Gao, Xiangfeng Luo, Xinzhi Wang, Hao WU, Hang Yu

ACM Transactions on Information Systems

2026

Improve robustness of few-shot cross-domain graph anomaly detection via scenario statistics pseudo-labeling

Hang Yu, Rui Ma, Yang Liu

Applied Intelligence

2025

A Noise-Resistant Model for Graph-based Fraud Detection

Zhengyang Liu, Hang Yu, Xiangfeng Luo

Information Processing & Management,Vol. 62, No. 5

2025

Optimizing knowledge bias: An adaptive correction method for open knowledge graph construction

Jiajun Yuan, Xiangfeng Luo, Yong Yin, Jing Zhang, Wenfang Dong, Liebin Zhao, Hang Yu

Neurocomputing

2025

A graph fraud detection model based on mutual information

Zhong Shao, Hang Yu, Jiahao Wen, Z. Q. Liu, Peng Qi

Neurocomputing

2025

CANA: Enhancing Graph-Based Fraud Detection via Confidence-Aware Neighborhood Aggregation

Zujia Wang, Jianqi Gao, Hang Yu, Zhengyang Liu, Junchuan Gu, Xiangfeng Luo, Xue Chen

Proceedings - International Conference on Tools with Artificial Intelligence, TAI

2025

DiffuFuse: Diffusion-Driven Dual-Stream Fusion Framework for Multimodal Sentiment Analysis

Xiongjian Lv, Yimin Wen, Hang Yu

ACM International Conference on Multimedia (ACM MM)

2025

Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language Models

Junjie Chen, Xuyang Liu, Subin Huang, Linfeng Zhang, Hang Yu

IEEE Transactions on Computational Social Systems

2025

ReCL: A Plug-and-Play Module for Enhancing Generalized Category Discovery Using Transport-Based Method to Uncover the Relationship in Samples

Pinzhuo Tian, Q Ma, Hang Yu, Jie Lü

IEEE Transactions on Neural Networks and Learning Systems

2025

MMGCL: Multi-scale and multi-channel graph contrastive learning for flight anomaly detection

Nengjun Zhu, Yuqiang Ren, Yu Liu, Hang Yu, Xinzhi Wang, Xiangfeng Luo

Knowledge-Based Systems

2025

A Robust Graph Fraud Detection Model Based on Adversarial Reweighting

Z. Q. Liu, Jianqi Gao, Hang Yu, Xiangfeng Luo

IEEE Transactions on Computational Social Systems

2025

Legal knowledge infusion for large language models: A survey

Qian Liu, Hang Yu, Qiqi Wang, Qi Xu, Jinpeng Li, Zhuoqun Zou, Rui Mao, Erik Cambria

Information Fusion

2025

Feature Fusion Contrastive Learning and Adaptive Correction Framework for Unsupervised Graph Anomaly Detection

Yicheng Zhang, Shaorong Xie, Junchuan Gu, Xiangfeng Luo, Hang Yu

2025

Shaping pre-trained language models for task-specific embedding generation via consistency calibration

Jianqi Gao, Hang Yu, Yiu‐ming Cheung, Jian Cao, Raymond Chi-Wing Wong, Yonggang Zhang

Neural Networks

2025

Entangle-then-disentangle: a novel approach for enhancing large vision-language model

Jiajun Yuan, Haiting Zheng, Hang Yu, Xiangfeng Luo

Machine Learning

2025

SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptation

Jianqi Gao, Jian Cao, Hang Yu, Yonggang Zhang, Zhen Fang

Knowledge-Based Systems

2025

Contrastive zero-shot relational learning for knowledge graph completion

Zhiyi Fang, Hang Yu, Changhua Xu, Zhuofeng Li, Jie Ying, Shaorong Xie

Knowledge-Based Systems

2025

A Masked AutoEncoder with Strong-Weak Mutual Information for Anomaly Detection in Dynamic Incomplete Graphs

Junchuan Gu, Hang Yu, Xiangfeng Luo

2025

Enhancing Zero-Shot Knowledge Graph Relation Prediction through Large Language Models and Contrastive Learning

Hang Yu, Haoyi Yu

2025

Federated Graph Anomaly Detection via Disentangled Representation Learning

Z. Q. Liu, Hang Yu, Xiangfeng Luo

2025

Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment

Jianqi Gao, Hao Wu, Yiu‐ming Cheung, Jian Cao, Hang Yu, Yonggang Zhang

2025

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms

Jianqi Gao, Jian Da Cao, Ranran Bu, Nengjun Zhu, Wei Guo Guan, Hang Yu

Proceedings of the AAAI Conference on Artificial Intelligence

2025

A Dual-Module Framework for Graph-Based Fraud Detection

C. H. Bryan Liu, Shaorong Xie, Xiangfeng Luo, Pengbo Li, Hang Yu

2025

Exploiting the Relationship within the Unlabelled Samples by Set Matching for Generalized Category Discovery

Qiubo Ma, Hang Yu, Shan Yuan, Pinzhuo Tian

IEEE International Conference on Acoustics Speech and Signal Processing

2025

Synthesizing global and local perspectives in contrastive learning for graph anomaly detection

Qiqi Yang, Hang Yu, Zhengyang Liu, Pengbo Li, Xue Chen, Xiangfeng Luo

Knowledge-Based Systems

2025

Emotion inference of text based on counterfactual behavior knowledge

Xinzhi Wang, Jiayan Qian, Yudong Chang, Hang Yu, Hui Zhang

Information Fusion

2025

Spatial–temporal intention representation with multi-agent reinforcement learning for unmanned surface vehicles strategies learning in asset guarding task

Yang Li, Shaorong Xie, Hang Yu, Han Zhang, Zhenyu Zhang, Xiangfeng Luo

Engineering Applications of Artificial Intelligence

2025

Improving inference via rich path information and logic rules for document-level relation extraction

Huizhe Su, Shaorong Xie, Hang Yu, Changsen Yuan, Xinzhi Wang, Xiangfeng Luo

Knowledge and Information Systems

2025

Learning from Orthogonal Space with Multimodal Large Models for Generalized Few-shot Segmentation

Xiaojie Zhou, Hang Yu, Shengjie Yang, Jing Huo, Pinzhuo Tian

ACM Transactions on Multimedia Computing Communications and Applications

2025

A Evaluation-Based Large Model for Multi-Step Behavior Prediction in Intelligent Consumer Electronics

Jinpeng Li, Hang Yu, Subo Wei

IEEE Transactions on Consumer Electronics

2025

CAMeL: Cross-Modality Adaptive Meta-Learning for Text-Based Person Retrieval

Hang Yu, Jiahao Wen, Zhedong Zheng

IEEE Transactions on Information Forensics and Security

2025

High Specificity Guided Cross-Domain Few-Shot Segmentation

Pinzhuo Tian, Xiaojie Zhou, Hang Yu, Shaorong Xie

IEEE Transactions on Multimedia

2025

CLEAR: A Framework Enabling Large Language Models to Discern Confusing Legal Paragraphs

Qi Ming Xu, Qian Liu, Hao Fei, Hang Yu, Shuhao Guan, Xiao Wei

2025

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks

Hongyuan Tao, Ying Zhang, Zhenhao Tang, Hongen Peng, Xukun Zhu, Bingchang Liu, Yingguang Yang, Ziyin Zhang, Zhaogui Xu, Haipeng Zhang, Linchao Zhu, Rui Wang, Hang Yu, Jianguo Li, Peng Di

neural information processing systems

2024

QuadCDD: A Quadruple-based Approach for Understanding Concept Drift in Data Streams

Pingfan Wang, Hang Yu, Nanlin Jin, Duncan Davies, Wai Lok Woo

Expert Systems With Applications,Vol. 238

2024

Density-Aware Early Fusion for Vehicle Collaborative Perception

Wenbin Yang, Hang Yu, Xiangfeng Luo, Shaorong Xie

IEEE Intelligent Transportation Systems Magazine

2024

Towards Fraud Detection via Fine-Grained Classification of User Behavior

Xinzhi Wang, Hang Yu, Jiayu Guo, Pengbo Li, Xiangfeng Luo

IEEE Transactions on Big Data

2024

CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data

Hang Yu, Jiahao Wen, Yiping Sun, Xiao Wei, Jie Lü

IEEE Transactions on Cybernetics

2024

Improving Inference via Rich Path Information for Dialogue Relation Extraction

Huizhe Su, Hang Yu, Yanghao Zhou, Changsen Yuan, Jinpeng Li, Shaorong Xie, Xiangfeng Luo

Lecture notes in computer science

2024

Zero-shot sim-to-real transfer using Siamese-Q-Based reinforcement learning

Zhenyu Zhang, Shaorong Xie, Han Zhang, Xiangfeng Luo, Hang Yu

Information Fusion

2024

DyHDGE: Dynamic heterogeneous transaction graph embedding for safety-centric fraud detection in financial scenarios

Xinzhi Wang, Jiayu Guo, Xiangfeng Luo, Hang Yu

Journal of Safety Science and Resilience

2024

An Adaptive Meta-Reinforcement Learning Algorithm for Simulation to Reality in Dynamic Scene

Wenwen Xiao, Xiangfeng Luo, Shaorong Xie, Hang Yu

IEEE Transactions on Intelligent Vehicles

2024

Homophilic and Heterophilic-Aware Sparse Graph Transformer for Financial Fraud Detection

Xin Wang, Xiangfeng Luo, Xinzhi Wang, Hang Yu

2024

How to Design or Learn Prompt for Domain Adaptation?

Cheng Jin, HaiTing Zheng, Hang Yu

2024

IN-GFD: An Interpretable Graph Fraud Detection Model for Spam Reviews

Hang Yu, Weixu Liu, Nengjun Zhu, Pengbo Li, Xiangfeng Luo

IEEE Transactions on Artificial Intelligence

2024

HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning

Yunong Zhang, Xiao Wei, Hang Yu

Knowledge-Based Systems

2024

Knowledge Graph Reasoning via Dynamic Subgraph Attention with Low Resource Computation

Yin Wang, Nan Xia, Hang Yu, Xiangfeng Luo

Neurocomputing

2024

Hierarchical Knowledge-Enhancement Framework for multi-hop knowledge graph reasoning

Shaorong Xie, Ruishen Liu, Xinzhi Wang, Xiangfeng Luo, Vijayan Sugumaran, Hang Yu

Neurocomputing

2024

Barely Supervised Learning for Graph-Based Fraud Detection

Hang Yu, Zhengyang Liu, Xiangfeng Luo

Proceedings of the AAAI Conference on Artificial Intelligence

2024

Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts

Yimin Wen, Xiang Liu, Hang Yu

Knowledge-Based Systems

2024

Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative–competitive environments

Shaorong Xie, Yang Li, Xinzhi Wang, Han Zhang, Zhenyu Zhang, Xiangfeng Luo, Hang Yu

Information Fusion

2024

Knowledge-guided communication preference learning model for multi-agent cooperation

Han Zhang, Hang Yu, Xiaoming Wang, Mengke Wang, Zhenyu Zhang, Yang Li, Shaorong Xie, Xiangfeng Luo

Information Sciences

2024

Cognitive-based knowledge learning framework for recommendation

Xue Chen, Qichao Liang, Yuanzhu Chen, Peng Wang, Hang Yu, Xiangfeng Luo

Knowledge-Based Systems

2024

Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements

Xiao Lu Wei, Qi Xu, Hang Yu, Qian Liu, Erik Cambria

Annual Meeting of the Association for Computational Linguistics (ACL)

2024

Guided Knowledge Generation with Language Models for Commonsense Reasoning

Wei Xiao, Haoran Chen, Hang Yu, Hao Fei, Qian Liu

2024

Divide and Conquer: Legal Concept-guided Criminal Court View Generation

Xu Qi, Xiao Wei, Hang Yu, Qian Liu, Hao Fei

2023

Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis

Weiqiang Jin, Biao Zhao, Liwen Zhang, Chenxing Liu, Hang Yu

Information Processing & Management,Vol. 60, No. 3

2023

一种新的半监督归纳迁移学习框架:Co-Transfer

文益民,员喆,余航

《计算机研究与发展》

2023

ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification

Kaihao Guo, Hang Yu, Cong Liao, Jianguo Li, Haipeng Zhang

Annual Meeting of the Association for Computational Linguistics

2023

Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams

Hang Yu, Jinpeng Li, Jie Lü, Yiliao Song, Shaorong Xie, Guangquan Zhang

IEEE Transactions on Knowledge and Data Engineering

2023

Graph-Based Competence Model for Concept Drift Detection

Yiping Sun, Yansen Yu, Cheng Jin, Qingyong Zhang, Weixu Liu, Hang Yu

International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

2023

OD-Enhanced Dynamic Spatial-Temporal Graph Convolutional Network for Metro Passenger Flow Prediction

Lei Ren, Jie Chen, Tong Liu, Hang Yu

Lecture notes in computer science

2023

HCTA:Hierarchical Cooperative Task Allocation in Multi-Agent Reinforcement Learning

Mengke Wang, Shaorong Xie, Xiangfeng Luo, Yang Li, Han Zhang, Hang Yu

Proceedings - International Conference on Tools with Artificial Intelligence, TAI

2023

Fintech Key-Phrase: A New Chinese Financial High-Tech Dataset Accelerating Expression-Level Information Retrieval

Weiqiang Jin, Biao Zhao, Yu Zhang, Gege Sun, Hang Yu

ACM Transactions on Asian and Low-Resource Language Information Processing

2023

Review of: "Attention Mechanism Model Combined with Adversarial Learning for E-commerce User Behavior Classification and Personality Recommendation"

Hang Yu

2023

Can we improve meta-learning model in few-shot learning by aligning data distributions?

Pinzhuo Tian, Wenbin Li, Lei Qi, Hang Yu, Yang Gao, Shaorong Xie

Knowledge-Based Systems

2023

Incremental event detection via an improved knowledge distillation based model

Yi Lin, Changhua Xu, Hang Yu, Pinzhuo Tian, Xiangfeng Luo

Neurocomputing

2023

Event Extraction Based on the Fusion of Dynamic Prompt Information and Multi-Dimensional Features

Yin Wang, Nan Xia, Xiangfeng Luo, Hang Yu

2023

ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation

Xueyuan Chen, Xiao Wei, Hang Yu, Xiangfeng Luo

2023

Multi-Label Text Classification Model Based on Multi-Level Constraint Augmentation and Label Association Attention

Xiao Wei, Jianbao Huang, Rui Zhao, Hang Yu, Zheng Liang Xu

ACM Transactions on Asian and Low-Resource Language Information Processing

2023

LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection

Pengbo Li, Hang Yu, Xiangfeng Luo, Jia Xin Wu

IEEE Transactions on Big Data

2023

PTCSpell: Pre-trained Corrector Based on Character Shape and Pinyin for Chinese Spelling Correction

Xiao Wei, Jianbao Huang, Hang Yu, Qian Liu

2023

Prior knowledge modeling for joint intent detection and slot filling

Chunning Hou, Jinpeng Li, Hang Yu, Xiangfeng Luo, Shaorong Xie

2022

Global Interest Transfer Guided Session-based Recommendation

Shukang Si, Shengming Guo, Xiao Shuang Xu, Hang Yu, Xiangfeng Luo

IEEE International Conference on Cloud Computing and Intelligent Systems (CCIS)

2022

Recurrent prediction model for partially observable MDPs

Shaorong Xie, Zhenyu Zhang, Hang Yu, Xiangfeng Luo

Information Sciences

2022

Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning

Weiqiang Jin, Biao Zhao, Hang Yu, Xi Tao, Ruiping Yin, Guizhong Liu

Data Mining and Knowledge Discovery

2022

Detecting group concept drift from multiple data streams

Hang Yu, Weixu Liu, Jie Lü, Yimin Wen, Xiangfeng Luo, Guangquan Zhang

Pattern Recognition

2022

Multi-label disaster text classification via supervised contrastive learning for social media data

Shaorong Xie, Chunning Hou, Hang Yu, Zhenyu Zhang, Xiangfeng Luo, Nengjun Zhu

Computers & Electrical Engineering

2022

Offline Reinforcement Learning via Policy Regularization and Ensemble Q-Functions

Tao Wang, Shaorong Xie, Mingke Gao, Xue Chen, Zhenyu Zhang, Hang Yu

Proceedings - International Conference on Tools with Artificial Intelligence, TAI

2022

Transfer Learning for Regression through Adaptive Gaussian Process

Changhua Xu, Kai Yang, Xue Chen, Xiangfeng Luo, Hang Yu

Proceedings - International Conference on Tools with Artificial Intelligence, TAI

2022

Learning from Suboptimal Demonstration via Trajectory-Ranked Adversarial Imitation

Luyao Chen, Shaorong Xie, Tao Pang, Hang Yu, Xiangfeng Luo, Zhenyu Zhang

Proceedings - International Conference on Tools with Artificial Intelligence, TAI

2022

Joint event causality extraction using dual-channel enhanced neural network

Jianqi Gao, Hang Yu, Shuang Zhang

Knowledge-Based Systems

2022

ET-HF: A novel information sharing model to improve multi-agent cooperation

Shaorong Xie, Han Zhang, Hang Yu, Yang Li, Zhenyu Zhang, Xiangfeng Luo

Knowledge-Based Systems

2022

DAFS: a domain aware few shot generative model for event detection

Nan Xia, Hang Yu, Yin Wang, Junyu Xuan, Xiangfeng Luo

Machine Learning

2022

Meta-ADD: A meta-learning based pre-trained model for concept drift active detection

Hang Yu, Qingyong Zhang, Tianyu Liu, Jie Lü, Yimin Wen, Guangquan Zhang

Information Sciences

2022

A Novel Cascade Model for End-to-End Aspect-Based Social Comment Sentiment Analysis

Hengbing Ding, Shan Huang, Weiqiang Jin, Shan Yuan, Hang Yu

Electronics

2022

Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction

Zhigui Chen, Hang Yu, Jinpeng Li, Xiangfeng Luo

Lecture notes in computer science

2022

IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction

Zhengming Zhao, Hang Yu, Xiangfeng Luo, Jianqi Gao, Xiao Shuang Xu, Shengming Guo

Lecture notes in computer science

2022

DBGARE: Across-Within Dual Bipartite Graph Attention for Enhancing Distantly Supervised Relation Extraction

Hejian Gu, Hang Yu, Xiangfeng Luo

Lecture notes in computer science

2021

MORStreaming: A Multioutput Regression System for Streaming Data

Hang Yu, Jie Lü, Guangquan Zhang

IEEE Transactions on Systems Man and Cybernetics Systems

2019

Query recommendation based on improved query flow graph

Jialu Xu, Feiyue Ye, Hang Yu, Bo Wang

2015

Research on Extract the Schema of Query Interfaces

Hang Yu, Feiyue Ye

International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

2015

Research on Automate Discovery of Deep Web Interfaces

Feiyue Ye, Hang Yu

Lecture notes in computer science

预印本

2026

Semantics–Search Oriented Automated Feature Engineering

Junchuan Gu, Runchen Ji, Z Y Liu, Dian Huang, Xiangfeng Luo, Hang Yu

SSRN Electronic Journal

2025

Online Learning Using Deep Random Vector Functional Link Network with Multi Forgetting Factors

Xiang Liu, Yimin Wen, Hang Yu

SSRN Electronic Journal

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