default search action
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
- [j35]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
- [j34]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) - [j33]Xinzhi Wang, Mengyue Li, Hang Yu, Chenyang Wang, Vijayan Sugumaran, Hui Zhang:
Enhancing Pre-trained Deep Learning Model with Self-Adaptive Reflection. Cogn. Comput. 16(6): 3468-3483 (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) - [c30]Hang Yu, Zhengyang Liu, Xiangfeng Luo:
Barely Supervised Learning for Graph-Based Fraud Detection. AAAI 2024: 16548-16557 - [c29]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 - [c28]Hang Yu, Ruilin Li, Shaorong Xie, Jiayan Qiu:
Shadow-Enlightened Image Outpainting. CVPR 2024: 7850-7860 - [c27]Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng:
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene. ECCV (11) 2024: 249-266 - [c26]Qi Xu, Xiao Wei, Hang Yu, Qian Liu, Hao Fei:
Divide and Conquer: Legal Concept-guided Criminal Court View Generation. EMNLP (Findings) 2024: 3395-3410 - [c25]Jinpeng Li, Hang Yu, Xiangfeng Luo, Qian Liu:
COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion. NAACL-HLT 2024: 1669-1682 - [c24]Huizhe Su, Hang Yu, Yanghao Zhou, Changsen Yuan, Jinpeng Li, Shaorong Xie, Xiangfeng Luo:
Improving Inference via Rich Path Information for Dialogue Relation Extraction. NLPCC (5) 2024: 205-212 - [i5]Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng:
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene. CoRR abs/2407.08569 (2024) - [i4]Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng:
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection. CoRR abs/2408.00619 (2024) - 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-27 20:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint