Hang Yu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 51

Top Topics

Event Extraction

Top Venues

Knowl. Based Syst.

Publications

Shaorong Xie, Ruishen Liu, Xinzhi Wang, Xiangfeng Luo, Vijayan Sugumaran, Hang Yu
Hierarchical Knowledge-Enhancement Framework for multi-hop knowledge graph reasoning. Neurocomputing 588 (2024)
Hang Yu, Zhengyang Liu, Xiangfeng Luo
Barely Supervised Learning for Graph-Based Fraud Detection. AAAI (2024)
Weiqiang Jin, Biao Zhao, Yu Zhang, Jia Huang, Hang Yu
WordTransABSA: Enhancing Aspect-based Sentiment Analysis with masked language modeling for affective token prediction. Expert Syst. Appl. 238 (Part F) (2024)
Wenbin Yang, Hang Yu, Xiangfeng Luo, Shaorong Xie
Geometric relation-based feature aggregation for 3D small object detection. Appl. Intell. 54 (19) (2024)
Jinpeng Li, Hang Yu, Xiangfeng Luo, Qian Liu
COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion. NAACL-HLT (2024)
Han Zhang, Hang Yu, Xiaoming Wang, Mengke Wang, Zhenyu Zhang, Yang Li, Shaorong Xie, Xiangfeng Luo
Knowledge-guided communication preference learning model for multi-agent cooperation. Inf. Sci. 667 (2024)
Xue Chen, Qichao Liang, Yuanzhu Chen, Peng Wang, Hang Yu, Xiangfeng Luo
Cognitive-based knowledge learning framework for recommendation. Knowl. Based Syst. 287 (2024)
Yinsai Guo, Hang Yu, Shaorong Xie, Liyan Ma, Xinzhi Cao, Xiangfeng Luo
DSCA: A Dual Semantic Correlation Alignment Method for domain adaptation object detection. Pattern Recognit. 150 (2024)
Yin Wang, Nan Xia, Hang Yu, Xiangfeng Luo
Knowledge Graph Reasoning via Dynamic Subgraph Attention with Low Resource Computation. Neurocomputing 595 (2024)
Shaorong Xie, Yang Li, Xinzhi Wang, Han Zhang, Zhenyu Zhang, Xiangfeng Luo, Hang Yu
Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative-competitive environments. Inf. Fusion 108 (2024)
Jinpeng Li, Hang Yu, Zhenyu Zhang, Xiangfeng Luo, Shaorong Xie
Concept Drift Adaptation by Exploiting Drift Type. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Yunong Zhang, Xiao Wei, Hang Yu
HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning. Knowl. Based Syst. 299 (2024)
Xiao Wei, Jianbao Huang, Rui Zhao, Hang Yu, Zheng Xu
Multi-Label Text Classification Model Based on Multi-Level Constraint Augmentation and Label Association Attention. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23 (1) (2024)
Yimin Wen, Xiang Liu, Hang Yu
Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts. Knowl. Based Syst. 293 (2024)
Pengbo Li, Hang Yu, Xiangfeng Luo, Jia Wu
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection. IEEE Trans. Big Data 9 (4) (2023)
Weiqiang Jin, Biao Zhao, Hang Yu, Xi Tao, Ruiping Yin, Guizhong Liu
Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning. Data Min. Knowl. Discov. 37 (1) (2023)
Yinsai Guo, Hang Yu, Liyan Ma, Liang Zeng, Xiangfeng Luo
THFE: A Triple-hierarchy Feature Enhancement method for tiny boat detection. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng Luo, Guangquan Zhang
Detecting group concept drift from multiple data streams. Pattern Recognit. 134 (2023)
Yin Wang, Nan Xia, Xiangfeng Luo, Hang Yu
Event Extraction Based on the Fusion of Dynamic Prompt Information and Multi-Dimensional Features. IJCNN (2023)
Weiqiang Jin, Biao Zhao, Liwen Zhang, Chenxing Liu, Hang Yu
Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis. Inf. Process. Manag. 60 (3) (2023)
Yi Lin, Changhua Xu, Hang Yu, Pinzhuo Tian, Xiangfeng Luo
Incremental event detection via an improved knowledge distillation based model. Neurocomputing 551 (2023)
Xueyuan Chen, Xiao Wei, Hang Yu, Xiangfeng Luo
ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation. IJCNN (2023)
Nan Xia, Hang Yu, Yin Wang, Junyu Xuan, Xiangfeng Luo
DAFS: a domain aware few shot generative model for event detection. Mach. Learn. 112 (3) (2023)
Weiqiang Jin, Biao Zhao, Yu Zhang, Gege Sun, Hang Yu
Fintech Key-Phrase: A New Chinese Financial High-Tech Dataset Accelerating Expression-Level Information Retrieval. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (11) (2023)
Shaorong Xie, Zhenyu Zhang, Hang Yu, Xiangfeng Luo
Recurrent prediction model for partially observable MDPs. Inf. Sci. 620 (2023)
Pinzhuo Tian, Hang Yu
Can we improve meta-learning model in few-shot learning by aligning data distributions? Knowl. Based Syst. 277 (2023)
Yiping Sun, Yansen Yu, Cheng Jin, Qingyong Zhang, Weixu Liu, Hang Yu
Graph-Based Competence Model for Concept Drift Detection. ISKE (2023)
Luyao Chen, Shaorong Xie, Tao Pang, Hang Yu, Xiangfeng Luo, Zhenyu Zhang
Learning from Suboptimal Demonstration via Trajectory-Ranked Adversarial Imitation. ICTAI (2022)
Shaorong Xie, Chunning Hou, Hang Yu, Zhenyu Zhang, Xiangfeng Luo, Nengjun Zhu
Multi-label disaster text classification via supervised contrastive learning for social media data. Comput. Electr. Eng. 104 (Part) (2022)
Hang Yu, Jie Lu, Guangquan Zhang
Continuous Support Vector Regression for Nonstationary Streaming Data. IEEE Trans. Cybern. 52 (5) (2022)
Zhigui Chen, Hang Yu, Jinpeng Li, Xiangfeng Luo
Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction. PRICAI (2) (2022)
Jianqi Gao, Hang Yu, Shuang Zhang
Joint event causality extraction using dual-channel enhanced neural network. Knowl. Based Syst. 258 (2022)
Hang Yu, Jie Lu, Guangquan Zhang
MORStreaming: A Multioutput Regression System for Streaming Data. IEEE Trans. Syst. Man Cybern. Syst. 52 (8) (2022)
Changhua Xu, Kai Yang, Xue Chen, Xiangfeng Luo, Hang Yu
Transfer Learning for Regression through Adaptive Gaussian Process. ICTAI (2022)
Hang Yu, Jie Lu, Guangquan Zhang
Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression. IEEE Trans. Fuzzy Syst. 30 (2) (2022)
Shaojie Li, Xiangfeng Luo, Zhenyu Zhang, Hang Yu, Shaorong Xie
SNSE: State Novelty Sampling Exploration. CCIS (2022)
Zhengming Zhao, Hang Yu, Xiangfeng Luo, Jianqi Gao, Xiao Xu, Shengming Guo
IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction. ICANN (2) (2022)
Shaorong Xie, Han Zhang, Hang Yu, Yang Li, Zhenyu Zhang, Xiangfeng Luo
ET-HF: A novel information sharing model to improve multi-agent cooperation. Knowl. Based Syst. 257 (2022)
Hejian Gu, Hang Yu, Xiangfeng Luo
DBGARE: Across-Within Dual Bipartite Graph Attention for Enhancing Distantly Supervised Relation Extraction. KSEM (1) (2022)
Hang Yu, Qingyong Zhang, Tianyu Liu, Jie Lu, Yimin Wen, Guangquan Zhang
Meta-ADD: A meta-learning based pre-trained model for concept drift active detection. Inf. Sci. 608 (2022)
Tao Wang, Shaorong Xie, Mingke Gao, Xue Chen, Zhenyu Zhang, Hang Yu
Offline Reinforcement Learning via Policy Regularization and Ensemble Q-Functions. ICTAI (2022)
Hang Yu, Jie Lu, Guangquan Zhang
An Online Robust Support Vector Regression for Data Streams. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Hang Yu, Jie Lu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang
Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Hang Yu, Tianyu Liu, Jie Lu, Guangquan Zhang
Automatic Learning to Detect Concept Drift. CoRR (2021)
Hang Yu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang, Jie Lu
Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning. Australasian Conference on Artificial Intelligence (2020)
Hang Yu, Jie Lu, Guangquan Zhang
Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Hang Yu, Jie Lu, Jialu Xu, Guangquan Zhang
A Hybrid Incremental Regression Neural Network for Uncertain Data Streams. IJCNN (2019)
Jialu Xu, Feiyue Ye, Hang Yu, Bo Wang
. IJCNN (2019)
Hang Yu, Jie Lu, Guangquan Zhang
An Incremental Dual nu-Support Vector Regression Algorithm. PAKDD (2) (2018)
Hang Yu, Jie Lu, Guangquan Zhang, Dianshuang Wu
A Dual Neural Network Based On Confidence Intervals For Fuzzy Random Regression Problems. FUZZ-IEEE (2018)
Hang Yu, Jie Lu, Guangquan Zhang
Learning a fuzzy decision tree from uncertain data. ISKE (2017)
Hang Yu, Feiyue Ye
Research on Extract the Schema of Query Interfaces. ISKE (2015)
Feiyue Ye, Hang Yu
Research on Automate Discovery of Deep Web Interfaces. WISE (2) (2015)