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Hang Yu 0006
Person information
- affiliation: Shanghai University, China
- affiliation: University of Technology Sydney, Sydney, NSW, Australia
Other persons with the same name
- Hang Yu — disambiguation page
- Hang Yu 0001 — University of York, UK
- Hang Yu 0002 — Ant Group, Hangzhou, China (and 1 more)
- Hang Yu 0003 — Columbia University, Departments of Biomedical Engineering and Radiology, New York, NY, USA
- Hang Yu 0004 — Victoria University of Wellington, Faculty of Engineering, School of Engineering and Computer Science, New Zealand
- Hang Yu 0005 — Grenoble Alpes University, France
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2020 – today
- 2025
- [j34]Zhenyu Zhang, Shaorong Xie, Han Zhang, Xiangfeng Luo, Hang Yu:
Zero-shot sim-to-real transfer using Siamese-Q-Based reinforcement learning. Inf. Fusion 114: 102664 (2025) - 2024
- [j33]Wenbin Yang, Hang Yu, Xiangfeng Luo, Shaorong Xie:
Geometric relation-based feature aggregation for 3D small object detection. Appl. Intell. 54(19): 8924-8938 (2024) - [j32]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): 122289 (2024) - [j31]Shaorong Xie, Ruishen Liu, Xinzhi Wang, Xiangfeng Luo, Vijayan Sugumaran, Hang Yu:
Hierarchical Knowledge-Enhancement Framework for multi-hop knowledge graph reasoning. Neurocomputing 588: 127673 (2024) - [j30]Yin Wang, Nan Xia, Hang Yu, Xiangfeng Luo:
Knowledge Graph Reasoning via Dynamic Subgraph Attention with Low Resource Computation. Neurocomputing 595: 127866 (2024) - [j29]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: 102318 (2024) - [j28]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: 120395 (2024) - [j27]Xue Chen, Qichao Liang, Yuanzhu Chen, Peng Wang, Hang Yu, Xiangfeng Luo:
Cognitive-based knowledge learning framework for recommendation. Knowl. Based Syst. 287: 111446 (2024) - [j26]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: 111636 (2024) - [j25]Yunong Zhang, Xiao Wei, Hang Yu:
HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning. Knowl. Based Syst. 299: 112033 (2024) - [j24]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: 110329 (2024) - [j23]Hang Yu, Weixu Liu, Nengjun Zhu, Pengbo Li, Xiangfeng Luo:
IN-GFD: An Interpretable Graph Fraud Detection Model for Spam Reviews. IEEE Trans. Artif. Intell. 5(10): 5325-5339 (2024) - [j22]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): 14:1-14:20 (2024) - [j21]Jinpeng Li, Hang Yu, Zhenyu Zhang, Xiangfeng Luo, Shaorong Xie:
Concept Drift Adaptation by Exploiting Drift Type. ACM Trans. Knowl. Discov. Data 18(4): 96:1-96:22 (2024) - [c27]Hang Yu, Zhengyang Liu, Xiangfeng Luo:
Barely Supervised Learning for Graph-Based Fraud Detection. AAAI 2024: 16548-16557 - [c26]Xiao Wei, Qi Xu, Hang Yu, Qian Liu, Erik Cambria:
Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements. ACL (1) 2024: 2864-2878 - [c25]Hang Yu, Ruilin Li, Shaorong Xie, Jiayan Qiu:
Shadow-Enlightened Image Outpainting. CVPR 2024: 7850-7860 - [c24]Jinpeng Li, Hang Yu, Xiangfeng Luo, Qian Liu:
COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion. NAACL-HLT 2024: 1669-1682 - 2023
- [j20]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): 255-288 (2023) - [j19]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): 106271 (2023) - [j18]Yi Lin, Changhua Xu, Hang Yu, Pinzhuo Tian, Xiangfeng Luo:
Incremental event detection via an improved knowledge distillation based model. Neurocomputing 551: 126519 (2023) - [j17]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): 103260 (2023) - [j16]Shaorong Xie, Zhenyu Zhang, Hang Yu, Xiangfeng Luo:
Recurrent prediction model for partially observable MDPs. Inf. Sci. 620: 125-141 (2023) - [j15]Pinzhuo Tian, Hang Yu:
Can we improve meta-learning model in few-shot learning by aligning data distributions? Knowl. Based Syst. 277: 110800 (2023) - [j14]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): 1011-1031 (2023) - [j13]Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng Luo, Guangquan Zhang:
Detecting group concept drift from multiple data streams. Pattern Recognit. 134: 109113 (2023) - [j12]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): 253:1-253:37 (2023) - [j11]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): 1116-1127 (2023) - [c23]Xiao Wei, Jianbao Huang, Hang Yu, Qian Liu:
PTCSpell: Pre-trained Corrector Based on Character Shape and Pinyin for Chinese Spelling Correction. ACL (Findings) 2023: 6330-6343 - [c22]Mengke Wang, Shaorong Xie, Xiangfeng Luo, Yang Li, Han Zhang, Hang Yu:
HCTA: Hierarchical Cooperative Task Allocation in Multi-Agent Reinforcement Learning. ICTAI 2023: 934-941 - [c21]Xueyuan Chen, Xiao Wei, Hang Yu, Xiangfeng Luo:
ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation. IJCNN 2023: 1-7 - [c20]Yin Wang, Nan Xia, Xiangfeng Luo, Hang Yu:
Event Extraction Based on the Fusion of Dynamic Prompt Information and Multi-Dimensional Features. IJCNN 2023: 1-9 - [c19]Yiping Sun, Yansen Yu, Cheng Jin, Qingyong Zhang, Weixu Liu, Hang Yu:
Graph-Based Competence Model for Concept Drift Detection. ISKE 2023: 529-536 - 2022
- [j10]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): 108401 (2022) - [j9]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: 996-1009 (2022) - [j8]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: 109916 (2022) - [j7]Jianqi Gao, Hang Yu, Shuang Zhang:
Joint event causality extraction using dual-channel enhanced neural network. Knowl. Based Syst. 258: 109935 (2022) - [j6]Hang Yu, Jie Lu, Guangquan Zhang:
Continuous Support Vector Regression for Nonstationary Streaming Data. IEEE Trans. Cybern. 52(5): 3592-3605 (2022) - [j5]Hang Yu, Jie Lu, Guangquan Zhang:
Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression. IEEE Trans. Fuzzy Syst. 30(2): 412-425 (2022) - [j4]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): 15155-15165 (2022) - [j3]Hang Yu, Jie Lu, Guangquan Zhang:
An Online Robust Support Vector Regression for Data Streams. IEEE Trans. Knowl. Data Eng. 34(1): 150-163 (2022) - [j2]Hang Yu, Jie Lu, Guangquan Zhang:
MORStreaming: A Multioutput Regression System for Streaming Data. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 4862-4874 (2022) - [c18]Shaojie Li, Xiangfeng Luo, Zhenyu Zhang, Hang Yu, Shaorong Xie:
SNSE: State Novelty Sampling Exploration. CCIS 2022: 173-180 - [c17]Shukang Si, Shengming Guo, Xiao Xu, Hang Yu, Xiangfeng Luo:
Global Interest Transfer Guided Session-based Recommendation. CCIS 2022: 401-408 - [c16]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: 519-531 - [c15]Changhua Xu, Kai Yang, Xue Chen, Xiangfeng Luo, Hang Yu:
Transfer Learning for Regression through Adaptive Gaussian Process. ICTAI 2022: 42-47 - [c14]Luyao Chen, Shaorong Xie, Tao Pang, Hang Yu, Xiangfeng Luo, Zhenyu Zhang:
Learning from Suboptimal Demonstration via Trajectory-Ranked Adversarial Imitation. ICTAI 2022: 486-493 - [c13]Tao Wang, Shaorong Xie, Mingke Gao, Xue Chen, Zhenyu Zhang, Hang Yu:
Offline Reinforcement Learning via Policy Regularization and Ensemble Q-Functions. ICTAI 2022: 1167-1174 - [c12]Hejian Gu, Hang Yu, Xiangfeng Luo:
DBGARE: Across-Within Dual Bipartite Graph Attention for Enhancing Distantly Supervised Relation Extraction. KSEM (1) 2022: 400-412 - [c11]Zhigui Chen, Hang Yu, Jinpeng Li, Xiangfeng Luo:
Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction. PRICAI (2) 2022: 59-72 - 2021
- [b1]Hang Yu:
Streaming Data Regression. University of Technology Sydney, Australia, 2021 - [c10]Weiqiang Jin, Hang Yu, Xiangfeng Luo:
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector. ICTAI 2021: 736-744 - [i3]Hang Yu, Tianyu Liu, Jie Lu, Guangquan Zhang:
Automatic Learning to Detect Concept Drift. CoRR abs/2105.01419 (2021) - [i2]Weiqiang Jin, Hang Yu, Xiangfeng Luo:
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector. CoRR abs/2110.12364 (2021) - [i1]Weiqiang Jin, Hang Yu, Xi Tao, Ruiping Yin:
Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning. CoRR abs/2110.12679 (2021) - 2020
- [j1]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): 3947-3961 (2020) - [c9]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: 29-41
2010 – 2019
- 2019
- [c8]Jialu Xu, Feiyue Ye, Hang Yu, Bo Wang:
Query recommendation based on improved query flow graph*. IJCNN 2019: 1-8 - [c7]Hang Yu, Jie Lu, Jialu Xu, Guangquan Zhang:
A Hybrid Incremental Regression Neural Network for Uncertain Data Streams. IJCNN 2019: 1-8 - 2018
- [c6]Hang Yu, Jie Lu, Guangquan Zhang, Dianshuang Wu:
A Dual Neural Network Based On Confidence Intervals For Fuzzy Random Regression Problems. FUZZ-IEEE 2018: 1-8 - [c5]Hang Yu, Jie Lu, Guangquan Zhang:
An Incremental Dual nu-Support Vector Regression Algorithm. PAKDD (2) 2018: 522-533 - 2017
- [c4]Hang Yu, Jie Lu, Guangquan Zhang:
Learning a fuzzy decision tree from uncertain data. ISKE 2017: 1-7 - 2016
- [c3]Fan Zhang, Tao Zhang, Hang Yu:
A novel rolling bearing fault diagnosis method. CISP-BMEI 2016: 1148-1152 - 2015
- [c2]Hang Yu, Feiyue Ye:
Research on Extract the Schema of Query Interfaces. ISKE 2015: 442-447 - [c1]Feiyue Ye, Hang Yu:
Research on Automate Discovery of Deep Web Interfaces. WISE (2) 2015: 191-198
Coauthor Index
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last updated on 2024-11-11 22:27 CET by the dblp team
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