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ORCIDHang 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
![[0000-0002-5639-0912]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5639-0912")
— 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
- Hang Yu 0007 — Shanghai Maritime University, China Institute of FTZ Supply Chain, China
- Hang Yu 0008 — Nankai University, Tianjin, China
- Hang Yu 0009 — Stanford University, Stanford, CA, USA
- Hang Yu 0010 — Zhejiang University, Hangzhou, China
- Hang Yu 0011 — Xidian University, Xi'an, China
- Hang Yu 0012 — Nanjing University of Science and Technology, Nanjing, Jiangsu, China
- Hang Yu 0013 — China Jiliang University, Hangzhou, China
- Hang Yu 0014 — University of Warwick, Coventry, UK
- Hang Yu 0015 — Beijing Jiaotong University, Beijing, China
- Hang Yu 0016 — Beihang University, Beijing, China
- Hang Yu 0017 — Delft University of Technology: Delft, The Netherlands
- Hang Yu 0018 — Nanjing University of Information Science and Technology, Nanjing, China
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2020 – today
- 2026
[j61]Ruishen Liu, Shaorong Xie, Xinzhi Wang, Xiangfeng Luo, Hang Yu:
FKQG: Few-shot question generation from knowledge graph via large language model in-context learning. Data Knowl. Eng. 161: 102528 (2026)- [j60]Zhong Shao, Hang Yu, Jiahao Wen, Zhengyang Liu, Peng Qi:
A graph fraud detection model based on mutual information. Neurocomputing 663: 131972 (2026) - [j59]Jiajun Yuan, Xiangfeng Luo, Yong Yin, Jing Zhang, Wenfang Dong, Liebin Zhao, Hang Yu:
Optimizing knowledge bias: An adaptive correction method for open knowledge graph construction. Neurocomputing 667: 132262 (2026) - [j58]Qian Liu, Hang Yu, Qiqi Wang, Qi Xu, Jinpeng Li, Zhuoqun Zou, Rui Mao, Erik Cambria:
Legal knowledge infusion for large language models: A survey. Inf. Fusion 125: 103426 (2026) - 2025
- [j57]Yang Li, Shaorong Xie, Hang Yu, Han Zhang, Zhenyu Zhang, Xiangfeng Luo:
Spatial-temporal intention representation with multi-agent reinforcement learning for unmanned surface vehicles strategies learning in asset guarding task. Eng. Appl. Artif. Intell. 145: 110120 (2025) - [j56]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) - [j55]Xinzhi Wang, Jiayan Qian, Yudong Chang, Hang Yu, Hui Zhang:
Emotion inference of text based on counterfactual behavior knowledge. Inf. Fusion 120: 103060 (2025) - [j54]Zhengyang Liu, Hang Yu, Xiangfeng Luo:
A Noise-Resistant Model for Graph-based Fraud Detection. Inf. Process. Manag. 62(5): 104198 (2025) - [j53]Wenbin Yang, Hang Yu, Xiangfeng Luo, Shaorong Xie:
Density-Aware Early Fusion for Vehicle Collaborative Perception. IEEE Intell. Transp. Syst. Mag. 17(2): 33-47 (2025) - [j52]Huizhe Su, Shaorong Xie, Hang Yu, Changsen Yuan, Xinzhi Wang, Xiangfeng Luo:
Improving inference via rich path information and logic rules for document-level relation extraction. Knowl. Inf. Syst. 67(5): 4207-4231 (2025) - [j51]Qiqi Yang, Hang Yu, Zhengyang Liu, Pengbo Li, Xue Chen, Xiangfeng Luo:
Synthesizing global and local perspectives in contrastive learning for graph anomaly detection. Knowl. Based Syst. 315: 113289 (2025) - [j50]Zhiyi Fang, Hang Yu, Changhua Xu, Zhuofeng Li, Jie Ying, Shaorong Xie:
Contrastive zero-shot relational learning for knowledge graph completion. Knowl. Based Syst. 320: 113425 (2025) - [j49]Jianqi Gao, Jian Cao, Hang Yu, Yonggang Zhang, Zhen Fang:
SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptation. Knowl. Based Syst. 324: 113831 (2025) - [j48]Nengjun Zhu, Yuqiang Ren, Yu Liu, Hang Yu, Xinzhi Wang, Xiangfeng Luo:
MMGCL: Multi-scale and multi-channel graph contrastive learning for flight anomaly detection. Knowl. Based Syst. 329: 114275 (2025) - [j47]Jiajun Yuan, Haiting Zheng, Hang Yu, Xiangfeng Luo:
Entangle-then-disentangle: a novel approach for enhancing large vision-language model. Mach. Learn. 114(8): 171 (2025) - [j46]Jianqi Gao, Hang Yu, Yiu-ming Cheung, Jian Cao, Raymond Chi-Wing Wong, Yonggang Zhang:
Shaping pre-trained language models for task-specific embedding generation via consistency calibration. Neural Networks 191: 107754 (2025) - [j45]Xinzhi Wang, Hang Yu, Jiayu Guo, Pengbo Li, Xiangfeng Luo:
Towards Fraud Detection via Fine-Grained Classification of User Behavior. IEEE Trans. Big Data 11(4): 1994-2007 (2025) - [j44]Jinpeng Li, Hang Yu, Subo Wei:
A Evaluation-Based Large Model for Multi-Step Behavior Prediction in Intelligent Consumer Electronics. IEEE Trans. Consumer Electron. 71(3): 9114-9124 (2025) - [j43]Zhengyang Liu, Jianqi Gao, Hang Yu, Xiangfeng Luo:
A Robust Graph Fraud Detection Model Based on Adversarial Reweighting. IEEE Trans. Comput. Soc. Syst. 12(6): 5213-5224 (2025) - [j42]Hang Yu, Jiahao Wen, Yiping Sun, Xiao Wei, Jie Lu:
CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data. IEEE Trans. Cybern. 55(2): 684-697 (2025) - [j41]Hang Yu, Jiahao Wen, Zhedong Zheng:
CAMeL: Cross-Modality Adaptive Meta-Learning for Text-Based Person Retrieval. IEEE Trans. Inf. Forensics Secur. 20: 4651-4663 (2025) - [j40]Wenwen Xiao, Xiangfeng Luo, Shaorong Xie, Hang Yu:
An Adaptive Meta-Reinforcement Learning Algorithm for Simulation to Reality in Dynamic Scene. IEEE Trans. Intell. Veh. 10(2): 1168-1183 (2025) - [j39]Pinzhuo Tian, Xiaojie Zhou, Hang Yu, Shaorong Xie:
High Specificity Guided Cross-Domain Few-Shot Segmentation. IEEE Trans. Multim. 27: 9059-9071 (2025) - [j38]Pinzhuo Tian, Qiubo Ma, Hang Yu, Jie Lu:
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. 36(12): 20343-20356 (2025) - [j37]Xiaojie Zhou, Hang Yu, Shengjie Yang, Jing Huo, Pinzhuo Tian:
Learning from Orthogonal Space with Multimodal Large Models for Generalized Few-shot Segmentation. ACM Trans. Multim. Comput. Commun. Appl. 21(11): 309:1-309:22 (2025) - [c42]Pengbo Li, Hang Yu, Xiangfeng Luo:
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels. AAAI 2025: 12112-12120 - [c41]Jianqi Gao, Jian Cao, Ranran Bu, Nengjun Zhu, Wei Guan, Hang Yu:
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms. AAAI 2025: 23914-23922 - [c40]Xin Zheng, Ziqi Ma, Hang Yu:
Endless Movie Maker: Zero-Shot Agent System for Making Long Video with Text. ICIC (18) 2025: 39-50 - [c39]Jiawei Fu, Xiangfeng Luo, Jiajun Yuan, Hang Yu:
Respiratory Sound Classification via Multi-view Feature Fusion with Enhanced Convolutional Neural Network and Audio Spectrogram Transformer. ICIC (26) 2025: 277-288 - [c38]Zujia Wang, Jianqi Gao, Hang Yu, Zhengyang Liu, Junquan Gu, Xiangfeng Luo, Xue Chen:
CANA: Enhancing Graph-Based Fraud Detection via Confidence-Aware Neighborhood Aggregation. ICTAI 2025: 26-33 - [c37]Yicheng Zhang, Shaorong Xie, Junquan Gu, Xiangfeng Luo, Hang Yu:
Feature Fusion Contrastive Learning and Adaptive Correction Framework for Unsupervised Graph Anomaly Detection. IJCNN 2025: 1-8 - [c36]Haiting Zheng, Rui Ma, Shaorong Xie, Hang Yu:
Test Time Prompt Adaption for Domain Generalization. IJCNN 2025: 1-8 - [c35]Junquan Gu, Hang Yu, Xiangfeng Luo:
A Masked AutoEncoder with Strong-Weak Mutual Information for Anomaly Detection in Dynamic Incomplete Graphs. WWW (Companion Volume) 2025: 986-990 - [c34]Zhengyang Liu, Hang Yu, Xiangfeng Luo:
Federated Graph Anomaly Detection via Disentangled Representation Learning. WWW 2025: 1216-1224 - [c33]Hang Yu, Haoyi Yu:
Enhancing Zero-Shot Knowledge Graph Relation Prediction through Large Language Models and Contrastive Learning. WWW (Companion Volume) 2025: 1490-1494 - [c32]Jianqi Gao, Hao Wu, Yiu-ming Cheung, Jian Cao, Hang Yu, Yonggang Zhang:
Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment. WWW 2025: 3492-3504 - [i7]Hang Yu, Jiahao Wen, Zhedong Zheng:
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval. CoRR abs/2504.18782 (2025) - [i6]Jiahao Wen, Hang Yu, Zhedong Zheng:
WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization. CoRR abs/2508.09560 (2025) - 2024
- [j36]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) - [j35]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) - [j34]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) - [j33]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) - [j32]Yin Wang, Nan Xia, Hang Yu, Xiangfeng Luo:
Knowledge Graph Reasoning via Dynamic Subgraph Attention with Low Resource Computation. Neurocomputing 595: 127866 (2024) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [j24]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) - [j23]Yinsai Guo, Hang Yu, Liyan Ma, Xiangfeng Luo, Shaorong Xie:
DIE-CDK: A Discriminative Information Enhancement Method With Cross-Modal Domain Knowledge for Fine-Grained Ship Detection. IEEE Trans. Circuits Syst. Video Technol. 34(11): 10646-10661 (2024) - [j22]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) - [j21]Hang Yu, Jinpeng Li, Jie Lu, Yiliao Song, Shaorong Xie, Guangquan Zhang:
Type-LDD: A Type-Driven Lite Concept Drift Detector for Data Streams. IEEE Trans. Knowl. Data Eng. 36(12): 9476-9489 (2024) - [c31]Hang Yu, Zhengyang Liu, Xiangfeng Luo:
Barely Supervised Learning for Graph-Based Fraud Detection. AAAI 2024: 16548-16557 - [c30]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 - [c29]Hang Yu, Ruilin Li, Shaorong Xie, Jiayan Qiu:
Shadow-Enlightened Image Outpainting. CVPR 2024: 7850-7860 - [c28]Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng:
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene. ECCV (11) 2024: 249-266 - [c27]Xiao Wei, Haoran Chen, Hang Yu, Hao Fei, Qian Liu:
Guided Knowledge Generation with Language Models for Commonsense Reasoning. EMNLP (Findings) 2024: 1103-1136 - [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
[j61] [j59] [j57] [j56] [j54] [j53] [j52] [j51] [j48] [j47] [j45] [j43] [j40] [c42] [c39] [c38] [c37] [c35] [c34] [j36] [j33] [j32] [j31] [j30] [j29] [j26] [j25] [j23] [j22] [c31] [c25] [c24] [j19] [j18] [j16] [j14] [j13] [j11] [c22] [c21] [c20] [j10] [j8] [c18] [c17] [c16] [c15] [c14] [c12] [c11] [c10] [i2]
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last updated on 2026-01-28 02:33 CET by the dblp team
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