Hang Yu

126 papers A* 10A 1B 15Misc 3Journal 74Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
A graph fraud detection model based on mutual information.
Neurocomputing
Zhong Shao, Hang Yu, Jiahao Wen, Zhengyang Liu, Peng Qi
2026 A* conf
DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation.
AAAI
Nengjun Zhu, Lingdan Sun, Qi Zhang, Jian Cao, Hang Yu
2026 A* conf
Discovering Latent Facts from Context to Construct Richer Open Knowledge Graphs.
AAAI
Jinpeng Li, Hang Yu, Ziqi Ma, Peng Qi
2026 J jnl
FKQG: Few-shot question generation from knowledge graph via large language model in-context learning.
Data Knowl. Eng.
Ruishen Liu, Shaorong Xie, Xinzhi Wang, Xiangfeng Luo, Hang Yu
2026 J jnl
Fair federated learning for weakly supervised nuclei segmentation via feature disentanglement.
Pattern Recognit.
Yi Qian, Xipeng Pan, Hang Yu, Yimin Wen, Xinjun Bian
2026 J jnl
Guest Editorial: Special Section on Fuzzy Large Models: Bridging Uncertainty and Creativity.
IEEE Trans. Fuzzy Syst.
Hang Yu, Qian Liu, Witold Pedrycz, Jie Lu
2026 J jnl
InterCLIP-MEP: Interactive CLIP and Memory-Enhanced Predictor for Multi-Modal Sarcasm Detection.
ACM Trans. Multim. Comput. Commun. Appl.
Junjie Chen, Hang Yu, Subin Huang, Sanmin Liu, Linfeng Zhang
2026 J jnl
Legal knowledge infusion for large language models: A survey.
Inf. Fusion
Qian Liu, Hang Yu, Qiqi Wang, Qi Xu, Jinpeng Li, Zhuoqun Zou, Rui Mao, Erik Cambria
2026 J jnl
Optimizing knowledge bias: An adaptive correction method for open knowledge graph construction.
Neurocomputing
Jiajun Yuan, Xiangfeng Luo, Yong Yin, Jing Zhang, Wenfang Dong, Liebin Zhao, Hang Yu
2026 J jnl
Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language Models.
IEEE Trans. Comput. Soc. Syst.
Junjie Chen, Xuyang Liu, Subin Huang, Linfeng Zhang, Hang Yu
2026 J jnl
Spatial-temporal clues based interactive message aggregation for multi-agent collaboration.
Frontiers Comput. Sci.
Shaorong Xie, Han Zhang, Xiangfeng Luo, Zhenyu Zhang, Mengke Wang, Hang Yu
2026 A* conf
Understanding Interaction as You Need: Intention-Driven Pedestrian Behavior Prediction.
AAAI
Hang Yu, Yansen Yu, Jiayan Qiu
2025 J jnl
A Evaluation-Based Large Model for Multi-Step Behavior Prediction in Intelligent Consumer Electronics.
IEEE Trans. Consumer Electron.
Jinpeng Li, Hang Yu, Subo Wei
2025 — conf
A Masked AutoEncoder with Strong-Weak Mutual Information for Anomaly Detection in Dynamic Incomplete Graphs.
WWW (Companion Volume)
Junquan Gu, Hang Yu, Xiangfeng Luo
2025 J jnl
A Noise-Resistant Model for Graph-based Fraud Detection.
Inf. Process. Manag.
Zhengyang Liu, Hang Yu, Xiangfeng Luo
2025 J jnl
A Robust Graph Fraud Detection Model Based on Adversarial Reweighting.
IEEE Trans. Comput. Soc. Syst.
Zhengyang Liu, Jianqi Gao, Hang Yu, Xiangfeng Luo
2025 J jnl
An Adaptive Meta-Reinforcement Learning Algorithm for Simulation to Reality in Dynamic Scene.
IEEE Trans. Intell. Veh.
Wenwen Xiao, Xiangfeng Luo, Shaorong Xie, Hang Yu
2025 J jnl
CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data.
IEEE Trans. Cybern.
Hang Yu, Jiahao Wen, Yiping Sun, Xiao Wei, Jie Lu
2025 J jnl
CAMeL: Cross-Modality Adaptive Meta-Learning for Text-Based Person Retrieval.
IEEE Trans. Inf. Forensics Secur.
Hang Yu, Jiahao Wen, Zhedong Zheng
2025 J jnl
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval.
CoRR
Hang Yu, Jiahao Wen, Zhedong Zheng
2025 B conf
CANA: Enhancing Graph-Based Fraud Detection via Confidence-Aware Neighborhood Aggregation.
ICTAI
Zujia Wang, Jianqi Gao, Hang Yu, Zhengyang Liu, Junquan Gu, Xiangfeng Luo, Xue Chen
2025 — conf
CLEAR: A Framework Enabling Large Language Models to Discern Confusing Legal Paragraphs.
EMNLP (Findings)
Qi Xu, Qian Liu, Hao Fei, Hang Yu, Shuhao Guan, Xiao Wei
2025 A* conf
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels.
AAAI
Pengbo Li, Hang Yu, Xiangfeng Luo
2025 J jnl
Contrastive zero-shot relational learning for knowledge graph completion.
Knowl. Based Syst.
Zhiyi Fang, Hang Yu, Changhua Xu, Zhuofeng Li, Jie Ying, Shaorong Xie
2025 J jnl
Density-Aware Early Fusion for Vehicle Collaborative Perception.
IEEE Intell. Transp. Syst. Mag.
Wenbin Yang, Hang Yu, Xiangfeng Luo, Shaorong Xie
2025 A* conf
DiffuFuse: Diffusion-Driven Dual-Stream Fusion Framework for Multimodal Sentiment Analysis.
ACM Multimedia
Xiongjian Lv, Yimin Wen, Hang Yu
2025 J jnl
Emotion inference of text based on counterfactual behavior knowledge.
Inf. Fusion
Xinzhi Wang, Jiayan Qian, Yudong Chang, Hang Yu, Hui Zhang
2025 — conf
Endless Movie Maker: Zero-Shot Agent System for Making Long Video with Text.
ICIC (18)
Xin Zheng, Ziqi Ma, Hang Yu
2025 — conf
Enhancing Zero-Shot Knowledge Graph Relation Prediction through Large Language Models and Contrastive Learning.
WWW (Companion Volume)
Hang Yu, Haoyi Yu
2025 J jnl
Entangle-then-disentangle: a novel approach for enhancing large vision-language model.
Mach. Learn.
Jiajun Yuan, Haiting Zheng, Hang Yu, Xiangfeng Luo
2025 B conf
Feature Fusion Contrastive Learning and Adaptive Correction Framework for Unsupervised Graph Anomaly Detection.
IJCNN
Yicheng Zhang, Shaorong Xie, Junquan Gu, Xiangfeng Luo, Hang Yu
2025 A* conf
Federated Graph Anomaly Detection via Disentangled Representation Learning.
WWW
Zhengyang Liu, Hang Yu, Xiangfeng Luo
2025 — conf
HDiff: Confidence-Guided Denoising Diffusion for Robust Hyper-relational Link Prediction.
EMNLP (Findings)
Xiangfeng Luo, Ruoxin Zheng, Jianqiang Huang, Hang Yu
2025 J jnl
High Specificity Guided Cross-Domain Few-Shot Segmentation.
IEEE Trans. Multim.
Pinzhuo Tian, Xiaojie Zhou, Hang Yu, Shaorong Xie
2025 J jnl
Improving inference via rich path information and logic rules for document-level relation extraction.
Knowl. Inf. Syst.
Huizhe Su, Shaorong Xie, Hang Yu, Changsen Yuan, Xinzhi Wang, Xiangfeng Luo
2025 J jnl
Learning from Orthogonal Space with Multimodal Large Models for Generalized Few-shot Segmentation.
ACM Trans. Multim. Comput. Commun. Appl.
Xiaojie Zhou, Hang Yu, Shengjie Yang, Jing Huo, Pinzhuo Tian
2025 J jnl
MMGCL: Multi-scale and multi-channel graph contrastive learning for flight anomaly detection.
Knowl. Based Syst.
Nengjun Zhu, Yuqiang Ren, Yu Liu, Hang Yu, Xinzhi Wang, Xiangfeng Luo
2025 A* conf
Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment.
WWW
Jianqi Gao, Hao Wu, Yiu-ming Cheung, Jian Cao, Hang Yu, Yonggang Zhang
2025 A conf
Pedestrian Trajectory Prediction Driven by Bidirectional Intention-Interaction.
ICME
Hang Yu, Yansen Yu, Jiayan Qiu
2025 A* conf
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms.
AAAI
Jianqi Gao, Jian Cao, Ranran Bu, Nengjun Zhu, Wei Guan, Hang Yu
2025 J jnl
Provide explainable clues: A generative traceable method for knowledge graph completion.
Knowl. Based Syst.
Ziqi Ma, Jinpeng Li, Hang Yu
2025 B conf
RLTR-LLM: A Temporal Knowledge Graph Few-Shot Out-Of-Graph Link Prediction Method Integrating RL-Based Temporal Retrieval and LLM Generation.
IEEE Big Data
Mengyu Han, Jinpeng Li, Hang Yu, Xiangfeng Luo
2025 J jnl
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.
Pinzhuo Tian, Qiubo Ma, Hang Yu, Jie Lu
2025 — conf
Respiratory Sound Classification via Multi-view Feature Fusion with Enhanced Convolutional Neural Network and Audio Spectrogram Transformer.
ICIC (26)
Jiawei Fu, Xiangfeng Luo, Jiajun Yuan, Hang Yu
2025 J jnl
SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptation.
Knowl. Based Syst.
Jianqi Gao, Jian Cao, Hang Yu, Yonggang Zhang, Zhen Fang
2025 J jnl
Shaping pre-trained language models for task-specific embedding generation via consistency calibration.
Neural Networks
Jianqi Gao, Hang Yu, Yiu-ming Cheung, Jian Cao, Raymond Chi-Wing Wong, Yonggang Zhang
2025 J jnl
Spatial-temporal intention representation with multi-agent reinforcement learning for unmanned surface vehicles strategies learning in asset guarding task.
Eng. Appl. Artif. Intell.
Yang Li, Shaorong Xie, Hang Yu, Han Zhang, Zhenyu Zhang, Xiangfeng Luo
2025 J jnl
Synthesizing global and local perspectives in contrastive learning for graph anomaly detection.
Knowl. Based Syst.
Qiqi Yang, Hang Yu, Zhengyang Liu, Pengbo Li, Xue Chen, Xiangfeng Luo
2025 B conf
Test Time Prompt Adaption for Domain Generalization.
IJCNN
Haiting Zheng, Rui Ma, Shaorong Xie, Hang Yu
2025 J jnl
Towards Fraud Detection via Fine-Grained Classification of User Behavior.
IEEE Trans. Big Data
Xinzhi Wang, Hang Yu, Jiayu Guo, Pengbo Li, Xiangfeng Luo
2025 J jnl
WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization.
CoRR
Jiahao Wen, Hang Yu, Zhedong Zheng
2025 J jnl
Zero-shot sim-to-real transfer using Siamese-Q-Based reinforcement learning.
Inf. Fusion
Zhenyu Zhang, Shaorong Xie, Han Zhang, Xiangfeng Luo, Hang Yu
2024 J jnl
Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts.
Knowl. Based Syst.
Yimin Wen, Xiang Liu, Hang Yu
2024 — conf
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene.
ECCV (11)
Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng
2024 J jnl
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene.
CoRR
Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng
2024 A* conf
Barely Supervised Learning for Graph-Based Fraud Detection.
AAAI
Hang Yu, Zhengyang Liu, Xiangfeng Luo
2024 — conf
COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion.
NAACL-HLT
Jinpeng Li, Hang Yu, Xiangfeng Luo, Qian Liu
2024 J jnl
Cognitive-based knowledge learning framework for recommendation.
Knowl. Based Syst.
Xue Chen, Qichao Liang, Yuanzhu Chen, Peng Wang, Hang Yu, Xiangfeng Luo
2024 J jnl
Concept Drift Adaptation by Exploiting Drift Type.
ACM Trans. Knowl. Discov. Data
Jinpeng Li, Hang Yu, Zhenyu Zhang, Xiangfeng Luo, Shaorong Xie
2024 J jnl
DIE-CDK: A Discriminative Information Enhancement Method With Cross-Modal Domain Knowledge for Fine-Grained Ship Detection.
IEEE Trans. Circuits Syst. Video Technol.
Yinsai Guo, Hang Yu, Liyan Ma, Xiangfeng Luo, Shaorong Xie
2024 J jnl
DSCA: A Dual Semantic Correlation Alignment Method for domain adaptation object detection.
Pattern Recognit.
Yinsai Guo, Hang Yu, Shaorong Xie, Liyan Ma, Xinzhi Cao, Xiangfeng Luo
2024 — conf
Divide and Conquer: Legal Concept-guided Criminal Court View Generation.
EMNLP (Findings)
Qi Xu, Xiao Wei, Hang Yu, Qian Liu, Hao Fei
2024 J jnl
Enhancing Pre-trained Deep Learning Model with Self-Adaptive Reflection.
Cogn. Comput.
Xinzhi Wang, Mengyue Li, Hang Yu, Chenyang Wang, Vijayan Sugumaran, Hui Zhang
2024 J jnl
Geometric relation-based feature aggregation for 3D small object detection.
Appl. Intell.
Wenbin Yang, Hang Yu, Xiangfeng Luo, Shaorong Xie
2024 — conf
Guided Knowledge Generation with Language Models for Commonsense Reasoning.
EMNLP (Findings)
Xiao Wei, Haoran Chen, Hang Yu, Hao Fei, Qian Liu
2024 J jnl
HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning.
Knowl. Based Syst.
Yunong Zhang, Xiao Wei, Hang Yu
2024 J jnl
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection.
CoRR
Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng
2024 J jnl
Hierarchical Knowledge-Enhancement Framework for multi-hop knowledge graph reasoning.
Neurocomputing
Shaorong Xie, Ruishen Liu, Xinzhi Wang, Xiangfeng Luo, Vijayan Sugumaran, Hang Yu
2024 J jnl
Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative-competitive environments.
Inf. Fusion
Shaorong Xie, Yang Li, Xinzhi Wang, Han Zhang, Zhenyu Zhang, Xiangfeng Luo, Hang Yu
2024 B conf
Homophilic and Heterophilic-Aware Sparse Graph Transformer for Financial Fraud Detection.
IJCNN
Xin Wang, Xiangfeng Luo, Xinzhi Wang, Hang Yu
2024 J jnl
IN-GFD: An Interpretable Graph Fraud Detection Model for Spam Reviews.
IEEE Trans. Artif. Intell.
Hang Yu, Weixu Liu, Nengjun Zhu, Pengbo Li, Xiangfeng Luo
2024 — conf
Improving Inference via Rich Path Information for Dialogue Relation Extraction.
NLPCC (5)
Huizhe Su, Hang Yu, Yanghao Zhou, Changsen Yuan, Jinpeng Li, Shaorong Xie, Xiangfeng Luo
2024 J jnl
Knowledge Graph Reasoning via Dynamic Subgraph Attention with Low Resource Computation.
Neurocomputing
Yin Wang, Nan Xia, Hang Yu, Xiangfeng Luo
2024 J jnl
Knowledge-guided communication preference learning model for multi-agent cooperation.
Inf. Sci.
Han Zhang, Hang Yu, Xiaoming Wang, Mengke Wang, Zhenyu Zhang, Yang Li, Shaorong Xie, Xiangfeng Luo
2024 J jnl
Multi-Label Text Classification Model Based on Multi-Level Constraint Augmentation and Label Association Attention.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Xiao Wei, Jianbao Huang, Rui Zhao, Hang Yu, Zheng Xu
2024 A* conf
Shadow-Enlightened Image Outpainting.
CVPR
Hang Yu, Ruilin Li, Shaorong Xie, Jiayan Qiu
2024 — conf
Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements.
ACL (1)
Xiao Wei, Qi Xu, Hang Yu, Qian Liu, Erik Cambria
2024 J jnl
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams.
IEEE Trans. Knowl. Data Eng.
Hang Yu, Jinpeng Li, Jie Lu, Yiliao Song, Shaorong Xie, Guangquan Zhang
2024 J jnl
WordTransABSA: Enhancing Aspect-based Sentiment Analysis with masked language modeling for affective token prediction.
Expert Syst. Appl.
Weiqiang Jin, Biao Zhao, Yu Zhang, Jia Huang, Hang Yu
2023 J jnl
Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis.
Inf. Process. Manag.
Weiqiang Jin, Biao Zhao, Liwen Zhang, Chenxing Liu, Hang Yu
2023 J jnl
Can we improve meta-learning model in few-shot learning by aligning data distributions?
Knowl. Based Syst.
Pinzhuo Tian, Hang Yu
2023 J jnl
DAFS: a domain aware few shot generative model for event detection.
Mach. Learn.
Nan Xia, Hang Yu, Yin Wang, Junyu Xuan, Xiangfeng Luo
2023 J jnl
Detecting group concept drift from multiple data streams.
Pattern Recognit.
Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng Luo, Guangquan Zhang
2023 B conf
Event Extraction Based on the Fusion of Dynamic Prompt Information and Multi-Dimensional Features.
IJCNN
Yin Wang, Nan Xia, Xiangfeng Luo, Hang Yu
2023 J jnl
Fintech Key-Phrase: A New Chinese Financial High-Tech Dataset Accelerating Expression-Level Information Retrieval.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Weiqiang Jin, Biao Zhao, Yu Zhang, Gege Sun, Hang Yu
2023 Misc conf
Graph-Based Competence Model for Concept Drift Detection.
ISKE
Yiping Sun, Yansen Yu, Cheng Jin, Qingyong Zhang, Weixu Liu, Hang Yu
2023 B conf
HCTA: Hierarchical Cooperative Task Allocation in Multi-Agent Reinforcement Learning.
ICTAI
Mengke Wang, Shaorong Xie, Xiangfeng Luo, Yang Li, Han Zhang, Hang Yu
2023 J jnl
Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning.
Data Min. Knowl. Discov.
Weiqiang Jin, Biao Zhao, Hang Yu, Xi Tao, Ruiping Yin, Guizhong Liu
2023 J jnl
Incremental event detection via an improved knowledge distillation based model.
Neurocomputing
Yi Lin, Changhua Xu, Hang Yu, Pinzhuo Tian, Xiangfeng Luo
2023 J jnl
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection.
IEEE Trans. Big Data
Pengbo Li, Hang Yu, Xiangfeng Luo, Jia Wu
2023 — conf
PTCSpell: Pre-trained Corrector Based on Character Shape and Pinyin for Chinese Spelling Correction.
ACL (Findings)
Xiao Wei, Jianbao Huang, Hang Yu, Qian Liu
2023 B conf
ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation.
IJCNN
Xueyuan Chen, Xiao Wei, Hang Yu, Xiangfeng Luo
2023 J jnl
Recurrent prediction model for partially observable MDPs.
Inf. Sci.
Shaorong Xie, Zhenyu Zhang, Hang Yu, Xiangfeng Luo
2023 J jnl
THFE: A Triple-hierarchy Feature Enhancement method for tiny boat detection.
Eng. Appl. Artif. Intell.
Yinsai Guo, Hang Yu, Liyan Ma, Liang Zeng, Xiangfeng Luo
2022 J jnl
An Online Robust Support Vector Regression for Data Streams.
IEEE Trans. Knowl. Data Eng.
Hang Yu, Jie Lu, Guangquan Zhang
2022 J jnl
Continuous Support Vector Regression for Nonstationary Streaming Data.
IEEE Trans. Cybern.
Hang Yu, Jie Lu, Guangquan Zhang
2022 — conf
DBGARE: Across-Within Dual Bipartite Graph Attention for Enhancing Distantly Supervised Relation Extraction.
KSEM (1)
Hejian Gu, Hang Yu, Xiangfeng Luo
2022 J jnl
ET-HF: A novel information sharing model to improve multi-agent cooperation.
Knowl. Based Syst.
Shaorong Xie, Han Zhang, Hang Yu, Yang Li, Zhenyu Zhang, Xiangfeng Luo
2022 — conf
Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction.
PRICAI (2)
Zhigui Chen, Hang Yu, Jinpeng Li, Xiangfeng Luo
2022 — conf
Global Interest Transfer Guided Session-based Recommendation.
CCIS
Shukang Si, Shengming Guo, Xiao Xu, Hang Yu, Xiangfeng Luo
2022 — conf
IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction.
ICANN (2)
Zhengming Zhao, Hang Yu, Xiangfeng Luo, Jianqi Gao, Xiao Xu, Shengming Guo
2022 J jnl
Joint event causality extraction using dual-channel enhanced neural network.
Knowl. Based Syst.
Jianqi Gao, Hang Yu, Shuang Zhang
2022 B conf
Learning from Suboptimal Demonstration via Trajectory-Ranked Adversarial Imitation.
ICTAI
Luyao Chen, Shaorong Xie, Tao Pang, Hang Yu, Xiangfeng Luo, Zhenyu Zhang
2022 J jnl
MORStreaming: A Multioutput Regression System for Streaming Data.
IEEE Trans. Syst. Man Cybern. Syst.
Hang Yu, Jie Lu, Guangquan Zhang
2022 J jnl
Meta-ADD: A meta-learning based pre-trained model for concept drift active detection.
Inf. Sci.
Hang Yu, Qingyong Zhang, Tianyu Liu, Jie Lu, Yimin Wen, Guangquan Zhang
2022 J jnl
Multi-label disaster text classification via supervised contrastive learning for social media data.
Comput. Electr. Eng.
Shaorong Xie, Chunning Hou, Hang Yu, Zhenyu Zhang, Xiangfeng Luo, Nengjun Zhu
2022 B conf
Offline Reinforcement Learning via Policy Regularization and Ensemble Q-Functions.
ICTAI
Tao Wang, Shaorong Xie, Mingke Gao, Xue Chen, Zhenyu Zhang, Hang Yu
2022 J jnl
Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning.
IEEE Trans. Intell. Transp. Syst.
Hang Yu, Jie Lu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang
2022 — conf
SNSE: State Novelty Sampling Exploration.
CCIS
Shaojie Li, Xiangfeng Luo, Zhenyu Zhang, Hang Yu, Shaorong Xie
2022 J jnl
Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression.
IEEE Trans. Fuzzy Syst.
Hang Yu, Jie Lu, Guangquan Zhang
2022 B conf
Transfer Learning for Regression through Adaptive Gaussian Process.
ICTAI
Changhua Xu, Kai Yang, Xue Chen, Xiangfeng Luo, Hang Yu
2021 J jnl
Automatic Learning to Detect Concept Drift.
CoRR
Hang Yu, Tianyu Liu, Jie Lu, Guangquan Zhang
2021 B conf
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector.
ICTAI
Weiqiang Jin, Hang Yu, Xiangfeng Luo
2021 J jnl
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector.
CoRR
Weiqiang Jin, Hang Yu, Xiangfeng Luo
2021 J jnl
Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning.
CoRR
Weiqiang Jin, Hang Yu, Xi Tao, Ruiping Yin
2021 — —
Streaming Data Regression
Hang Yu
2020 J jnl
Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Hang Yu, Jie Lu, Guangquan Zhang
2020 — conf
Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning.
Australasian Conference on Artificial Intelligence
Hang Yu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang, Jie Lu
2019 B conf
A Hybrid Incremental Regression Neural Network for Uncertain Data Streams.
IJCNN
Hang Yu, Jie Lu, Jialu Xu, Guangquan Zhang
2019 B conf
Query recommendation based on improved query flow graph
IJCNN
Jialu Xu, Feiyue Ye, Hang Yu, Bo Wang
2018 B conf
A Dual Neural Network Based On Confidence Intervals For Fuzzy Random Regression Problems.
FUZZ-IEEE
Hang Yu, Jie Lu, Guangquan Zhang, Dianshuang Wu
2018 — conf
An Incremental Dual nu-Support Vector Regression Algorithm.
PAKDD (2)
Hang Yu, Jie Lu, Guangquan Zhang
2017 Misc conf
Learning a fuzzy decision tree from uncertain data.
ISKE
Hang Yu, Jie Lu, Guangquan Zhang
2016 — conf
A novel rolling bearing fault diagnosis method.
CISP-BMEI
Fan Zhang, Tao Zhang, Hang Yu
2015 — conf
Research on Automate Discovery of Deep Web Interfaces.
WISE (2)
Feiyue Ye, Hang Yu
2015 Misc conf
Research on Extract the Schema of Query Interfaces.
ISKE
Hang Yu, Feiyue Ye