Research on Extract the Schema of Query Interfaces. - Hang Yu 006; Feiyue Ye (ISKE, 2015)

Research on Automate Discovery of Deep Web Interfaces. - Feiyue Ye; Hang Yu 006 (WISE (2), 2015)

A novel rolling bearing fault diagnosis method. - Fan Zhang; Tao Zhang; Hang Yu 006 (CISP-BMEI, 2016)

Learning a fuzzy decision tree from uncertain data. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (ISKE, 2017)

A Dual Neural Network Based On Confidence Intervals For Fuzzy Random Regression Problems. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001; Dianshuang Wu (FUZZ-IEEE, 2018)

An Incremental Dual nu-Support Vector Regression Algorithm. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (PAKDD (2), 2018)

Query recommendation based on improved query flow graph*. - Jialu Xu; Feiyue Ye; Hang Yu 006; Bo Wang (IJCNN, 2019)

A Hybrid Incremental Regression Neural Network for Uncertain Data Streams. - Hang Yu 006; Jie Lu 001; Jialu Xu; Guangquan Zhang 001 (IJCNN, 2019)

Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning. - Hang Yu 006; Anjin Liu; Bin Wang 045; Ruimin Li; Guangquan Zhang 001; Jie Lu 001 (Australasian Conference on Artificial Intelligence, 2020)

Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector. - Weiqiang Jin; Hang Yu 006; Xiangfeng Luo (ICTAI, 2021)

Automatic Learning to Detect Concept Drift. - Hang Yu 006; Tianyu Liu; Jie Lu 001; Guangquan Zhang 001 (CoRR, 2021)

Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning. - Weiqiang Jin; Hang Yu 006; Xi Tao; Ruiping Yin (CoRR, 2021)

Streaming Data Regression - Hang Yu 006 (2021)

SNSE: State Novelty Sampling Exploration. - Shaojie Li; Xiangfeng Luo; Zhenyu Zhang 013; Hang Yu 006; Shaorong Xie (CCIS, 2022)

Global Interest Transfer Guided Session-based Recommendation. - Shukang Si; Shengming Guo; Xiao Xu 003; Hang Yu 006; Xiangfeng Luo (CCIS, 2022)

IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction. - Zhengming Zhao; Hang Yu 006; Xiangfeng Luo; Jianqi Gao 001; Xiao Xu 003; Shengming Guo (ICANN (2), 2022)

Learning from Suboptimal Demonstration via Trajectory-Ranked Adversarial Imitation. - Luyao Chen; Shaorong Xie; Tao Pang; Hang Yu 006; Xiangfeng Luo; Zhenyu Zhang 013 (ICTAI, 2022)

Offline Reinforcement Learning via Policy Regularization and Ensemble Q-Functions. - Tao Wang 072; Shaorong Xie; Mingke Gao; Xue Chen; Zhenyu Zhang 013; Hang Yu 006 (ICTAI, 2022)

Transfer Learning for Regression through Adaptive Gaussian Process. - Changhua Xu; Kai Yang; Xue Chen; Xiangfeng Luo; Hang Yu 006 (ICTAI, 2022)

DBGARE: Across-Within Dual Bipartite Graph Attention for Enhancing Distantly Supervised Relation Extraction. - Hejian Gu; Hang Yu 006; Xiangfeng Luo (KSEM (1), 2022)

Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction. - Zhigui Chen; Hang Yu 006; Jinpeng Li; Xiangfeng Luo (PRICAI (2), 2022)

Multi-label disaster text classification via supervised contrastive learning for social media data. - Shaorong Xie; Chunning Hou; Hang Yu 006; Zhenyu Zhang 013; Xiangfeng Luo; Nengjun Zhu (Comput. Electr. Eng., 2022)

Meta-ADD: A meta-learning based pre-trained model for concept drift active detection. - Hang Yu 006; Qingyong Zhang; Tianyu Liu; Jie Lu 001; Yimin Wen; Guangquan Zhang 001 (Inf. Sci., 2022)

Joint event causality extraction using dual-channel enhanced neural network. - Jianqi Gao 001; Hang Yu 006; Shuang Zhang (Knowl. Based Syst., 2022)

ET-HF: A novel information sharing model to improve multi-agent cooperation. - Shaorong Xie; Han Zhang; Hang Yu 006; Yang Li 151; Zhenyu Zhang 013; Xiangfeng Luo (Knowl. Based Syst., 2022)

Continuous Support Vector Regression for Nonstationary Streaming Data. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Cybern., 2022)

Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2022)

Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning. - Hang Yu 006; Jie Lu 001; Anjin Liu; Bin Wang 045; Ruimin Li; Guangquan Zhang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

An Online Robust Support Vector Regression for Data Streams. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2022)

MORStreaming: A Multioutput Regression System for Streaming Data. - Hang Yu 006; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

PTCSpell: Pre-trained Corrector Based on Character Shape and Pinyin for Chinese Spelling Correction. - Xiao Wei 002; Jianbao Huang; Hang Yu 006; Qian Liu 012 (ACL (Findings), 2023)

HCTA: Hierarchical Cooperative Task Allocation in Multi-Agent Reinforcement Learning. - Mengke Wang; Shaorong Xie; Xiangfeng Luo; Yang Li 151; Han Zhang; Hang Yu 006 (ICTAI, 2023)

ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation. - Xueyuan Chen; Xiao Wei 002; Hang Yu 006; Xiangfeng Luo (IJCNN, 2023)

Event Extraction Based on the Fusion of Dynamic Prompt Information and Multi-Dimensional Features. - Yin Wang; Nan Xia; Xiangfeng Luo; Hang Yu 006 (IJCNN, 2023)

Graph-Based Competence Model for Concept Drift Detection. - Yiping Sun; Yansen Yu; Cheng Jin; Qingyong Zhang; Weixu Liu; Hang Yu 006 (ISKE, 2023)

Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning. - Weiqiang Jin; Biao Zhao; Hang Yu 006; Xi Tao; Ruiping Yin; Guizhong Liu (Data Min. Knowl. Discov., 2023)

THFE: A Triple-hierarchy Feature Enhancement method for tiny boat detection. - Yinsai Guo; Hang Yu 006; Liyan Ma; Liang Zeng; Xiangfeng Luo (Eng. Appl. Artif. Intell., 2023)

Recurrent prediction model for partially observable MDPs. - Shaorong Xie; Zhenyu Zhang 013; Hang Yu 006; Xiangfeng Luo (Inf. Sci., 2023)

Detecting group concept drift from multiple data streams. - Hang Yu 006; Weixu Liu; Jie Lu 001; Yimin Wen; Xiangfeng Luo; Guangquan Zhang 001 (Pattern Recognit., 2023)

DAFS: a domain aware few shot generative model for event detection. - Nan Xia; Hang Yu 006; Yin Wang; Junyu Xuan; Xiangfeng Luo (Mach. Learn., 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 006 (Inf. Process. Manag., 2023)

LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection. - Pengbo Li; Hang Yu 006; Xiangfeng Luo; Jia Wu 001 (IEEE Trans. Big Data, 2023)

Incremental event detection via an improved knowledge distillation based model. - Yi Lin; Changhua Xu; Hang Yu 006; Pinzhuo Tian; Xiangfeng Luo (Neurocomputing, 2023)

Can we improve meta-learning model in few-shot learning by aligning data distributions? - Pinzhuo Tian; Hang Yu 006 (Knowl. Based Syst., 2023)

Fintech Key-Phrase: A New Chinese Financial High-Tech Dataset Accelerating Expression-Level Information Retrieval. - Weiqiang Jin; Biao Zhao; Yu Zhang 205; Gege Sun; Hang Yu 006 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Barely Supervised Learning for Graph-Based Fraud Detection. - Hang Yu 006; Zhengyang Liu 007; Xiangfeng Luo (AAAI, 2024)

Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements. - Xiao Wei 002; Qi Xu; Hang Yu 006; Qian Liu 012; Erik Cambria (ACL (1), 2024)

Shadow-Enlightened Image Outpainting. - Hang Yu 006; Ruilin Li; Shaorong Xie; Jiayan Qiu (CVPR, 2024)

Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene. - Ruiyang Zhang; Hu Zhang 005; Hang Yu 006; Zhedong Zheng (ECCV (11), 2024)

Guided Knowledge Generation with Language Models for Commonsense Reasoning. - Xiao Wei 002; Haoran Chen; Hang Yu 006; Hao Fei 001; Qian Liu 012 (EMNLP (Findings), 2024)

Divide and Conquer: Legal Concept-guided Criminal Court View Generation. - Qi Xu; Xiao Wei 002; Hang Yu 006; Qian Liu 012; Hao Fei 001 (EMNLP (Findings), 2024)

COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion. - Jinpeng Li; Hang Yu 006; Xiangfeng Luo; Qian Liu 012 (NAACL-HLT, 2024)

Improving Inference via Rich Path Information for Dialogue Relation Extraction. - Huizhe Su; Hang Yu 006; Yanghao Zhou; Changsen Yuan; Jinpeng Li; Shaorong Xie; Xiangfeng Luo (NLPCC (5), 2024)

Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection. - Ruiyang Zhang; Hu Zhang 005; Hang Yu 006; Zhedong Zheng (CoRR, 2024)

Knowledge Graph Reasoning via Dynamic Subgraph Attention with Low Resource Computation. - Yin Wang; Nan Xia; Hang Yu 006; Xiangfeng Luo (Neurocomputing, 2024)

Hierarchical Knowledge-Enhancement Framework for multi-hop knowledge graph reasoning. - Shaorong Xie; Ruishen Liu; Xinzhi Wang 001; Xiangfeng Luo; Vijayan Sugumaran; Hang Yu 006 (Neurocomputing, 2024)

Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative-competitive environments. - Shaorong Xie; Yang Li 151; Xinzhi Wang 001; Han Zhang; Zhenyu Zhang 013; Xiangfeng Luo; Hang Yu 006 (Inf. Fusion, 2024)

Knowledge-guided communication preference learning model for multi-agent cooperation. - Han Zhang; Hang Yu 006; Xiaoming Wang; Mengke Wang; Zhenyu Zhang 013; Yang Li 151; Shaorong Xie; Xiangfeng Luo (Inf. Sci., 2024)

Cognitive-based knowledge learning framework for recommendation. - Xue Chen; Qichao Liang; Yuanzhu Chen 001; Peng Wang; Hang Yu 006; Xiangfeng Luo (Knowl. Based Syst., 2024)

Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts. - Yimin Wen; Xiang Liu; Hang Yu 006 (Knowl. Based Syst., 2024)

HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning. - Yunong Zhang; Xiao Wei 002; Hang Yu 006 (Knowl. Based Syst., 2024)

DSCA: A Dual Semantic Correlation Alignment Method for domain adaptation object detection. - Yinsai Guo; Hang Yu 006; Shaorong Xie; Liyan Ma; Xinzhi Cao; Xiangfeng Luo (Pattern Recognit., 2024)

Multi-Label Text Classification Model Based on Multi-Level Constraint Augmentation and Label Association Attention. - Xiao Wei 002; Jianbao Huang; Rui Zhao; Hang Yu 006; Zheng Xu 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

WordTransABSA: Enhancing Aspect-based Sentiment Analysis with masked language modeling for affective token prediction. - Weiqiang Jin; Biao Zhao; Yu Zhang 205; Jia Huang; Hang Yu 006 (Expert Syst. Appl., 2024)

Concept Drift Adaptation by Exploiting Drift Type. - Jinpeng Li; Hang Yu 006; Zhenyu Zhang 013; Xiangfeng Luo; Shaorong Xie (ACM Trans. Knowl. Discov. Data, 2024)

Geometric relation-based feature aggregation for 3D small object detection. - Wenbin Yang; Hang Yu 006; Xiangfeng Luo; Shaorong Xie (Appl. Intell., 2024)

IN-GFD: An Interpretable Graph Fraud Detection Model for Spam Reviews. - Hang Yu 006; Weixu Liu; Nengjun Zhu; Pengbo Li; Xiangfeng Luo (IEEE Trans. Artif. Intell., 2024)

Enhancing Pre-trained Deep Learning Model with Self-Adaptive Reflection. - Xinzhi Wang 001; Mengyue Li; Hang Yu 006; Chenyang Wang; Vijayan Sugumaran; Hui Zhang 016 (Cogn. Comput., 2024)

DIE-CDK: A Discriminative Information Enhancement Method With Cross-Modal Domain Knowledge for Fine-Grained Ship Detection. - Yinsai Guo; Hang Yu 006; Liyan Ma; Xiangfeng Luo; Shaorong Xie (IEEE Trans. Circuits Syst. Video Technol., 2024)

Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams. - Hang Yu 006; Jinpeng Li; Jie Lu 001; Yiliao Song; Shaorong Xie; Guangquan Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms. - Jianqi Gao 001; Jian Cao 001; Ranran Bu; Nengjun Zhu; Wei Guan 006; Hang Yu 006 (AAAI, 2025)

Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels. - Pengbo Li; Hang Yu 006; Xiangfeng Luo (AAAI, 2025)

Respiratory Sound Classification via Multi-view Feature Fusion with Enhanced Convolutional Neural Network and Audio Spectrogram Transformer. - Jiawei Fu; Xiangfeng Luo; Jiajun Yuan; Hang Yu 006 (ICIC (26), 2025)

Endless Movie Maker: Zero-Shot Agent System for Making Long Video with Text. - Xin Zheng; Ziqi Ma; Hang Yu 006 (ICIC (18), 2025)

Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment. - Jianqi Gao 001; Hao Wu 087; Yiu-ming Cheung; Jian Cao 001; Hang Yu 006; Yonggang Zhang 003 (WWW, 2025)

A Masked AutoEncoder with Strong-Weak Mutual Information for Anomaly Detection in Dynamic Incomplete Graphs. - Junquan Gu; Hang Yu 006; Xiangfeng Luo (WWW (Companion Volume), 2025)

Federated Graph Anomaly Detection via Disentangled Representation Learning. - Zhengyang Liu 007; Hang Yu 006; Xiangfeng Luo (WWW, 2025)

Enhancing Zero-Shot Knowledge Graph Relation Prediction through Large Language Models and Contrastive Learning. - Hang Yu 006; Haoyi Yu (WWW (Companion Volume), 2025)

Spatial-temporal intention representation with multi-agent reinforcement learning for unmanned surface vehicles strategies learning in asset guarding task. - Yang Li 151; Shaorong Xie; Hang Yu 006; Han Zhang; Zhenyu Zhang 013; Xiangfeng Luo (Eng. Appl. Artif. Intell., 2025)

Emotion inference of text based on counterfactual behavior knowledge. - Xinzhi Wang 001; Jiayan Qian; Yudong Chang; Hang Yu 006; Hui Zhang 016 (Inf. Fusion, 2025)

Zero-shot sim-to-real transfer using Siamese-Q-Based reinforcement learning. - Zhenyu Zhang 013; Shaorong Xie; Han Zhang; Xiangfeng Luo; Hang Yu 006 (Inf. Fusion, 2025)

A Noise-Resistant Model for Graph-based Fraud Detection. - Zhengyang Liu 007; Hang Yu 006; Xiangfeng Luo (Inf. Process. Manag., 2025)

Density-Aware Early Fusion for Vehicle Collaborative Perception. - Wenbin Yang; Hang Yu 006; Xiangfeng Luo; Shaorong Xie (IEEE Intell. Transp. Syst. Mag., 2025)

Contrastive zero-shot relational learning for knowledge graph completion. - Zhiyi Fang; Hang Yu 006; Changhua Xu; Zhuofeng Li; Jie Ying; Shaorong Xie (Knowl. Based Syst., 2025)

SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptation. - Jianqi Gao 001; Jian Cao 001; Hang Yu 006; Yonggang Zhang 003; Zhen Fang 001 (Knowl. Based Syst., 2025)

Synthesizing global and local perspectives in contrastive learning for graph anomaly detection. - Qiqi Yang; Hang Yu 006; Zhengyang Liu 007; Pengbo Li; Xue Chen; Xiangfeng Luo (Knowl. Based Syst., 2025)

MMGCL: Multi-scale and multi-channel graph contrastive learning for flight anomaly detection. - Nengjun Zhu; Yuqiang Ren; Yu Liu; Hang Yu 006; Xinzhi Wang 001; Xiangfeng Luo (Knowl. Based Syst., 2025)

Shaping pre-trained language models for task-specific embedding generation via consistency calibration. - Jianqi Gao 001; Hang Yu 006; Yiu-ming Cheung; Jian Cao 001; Raymond Chi-Wing Wong; Yonggang Zhang 003 (Neural Networks, 2025)

CAMeL: Cross-Modality Adaptive Meta-Learning for Text-Based Person Retrieval. - Hang Yu 006; Jiahao Wen; Zhedong Zheng (IEEE Trans. Inf. Forensics Secur., 2025)

CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data. - Hang Yu 006; Jiahao Wen; Yiping Sun; Xiao Wei 002; Jie Lu 001 (IEEE Trans. Cybern., 2025)

An Adaptive Meta-Reinforcement Learning Algorithm for Simulation to Reality in Dynamic Scene. - Wenwen Xiao; Xiangfeng Luo; Shaorong Xie; Hang Yu 006 (IEEE Trans. Intell. Veh., 2025)

Improving inference via rich path information and logic rules for document-level relation extraction. - Huizhe Su; Shaorong Xie; Hang Yu 006; Changsen Yuan; Xinzhi Wang 001; Xiangfeng Luo (Knowl. Inf. Syst., 2025)

WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization. - Jiahao Wen; Hang Yu 006; Zhedong Zheng (CoRR, 2025)

Entangle-then-disentangle: a novel approach for enhancing large vision-language model. - Jiajun Yuan; Haiting Zheng; Hang Yu 006; Xiangfeng Luo (Mach. Learn., 2025)

Towards Fraud Detection via Fine-Grained Classification of User Behavior. - Xinzhi Wang 001; Hang Yu 006; Jiayu Guo; Pengbo Li; Xiangfeng Luo (IEEE Trans. Big Data, 2025)

Legal knowledge infusion for large language models: A survey. - Qian Liu 012; Hang Yu 006; Qiqi Wang 015; Qi Xu; Jinpeng Li; Zhuoqun Zou; Rui Mao 010; Erik Cambria (Inf. Fusion, 2026)