Xiangfeng Luo

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 138

Top Venues

Concurr. Comput. Pract. Exp.

ICTAI

Int. J. Comput. Sci. Eng.

CoRR

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)
Shaorong Xie, Qifei Pan, Xinzhi Wang, Xiangfeng Luo, Vijayan Sugumaran
Combining prompt learning with contextual semantics for inductive relation prediction. Expert Syst. Appl. 238 (Part D) (2024)
Hang Yu, Zhengyang Liu, Xiangfeng Luo
Barely Supervised Learning for Graph-Based Fraud Detection. AAAI (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)
Wenbin Yang, Hao Qiu, Xiangfeng Luo, Shaorong Xie
SGK-Net: A Novel Navigation Scene Graph Generation Network. Sensors 24 (13) (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)
Kaiyue Cai, Xinzhi Wang, Xiangfeng Luo
Optimize Rule Mining Based on Constraint Learning in Knowledge Graph. KSEM (3) (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)
Weiran Zhu, Xinzhi Wang, Xue Chen, Xiangfeng Luo
Refining ChatGPT for Document-Level Relation Extraction: A Multi-dimensional Prompting Approach. ICIC (LNAI 3) (2024)
Yinsai Guo, Liyan Ma, Xiangfeng Luo, Shaorong Xie
DP-DDCL: A discriminative prototype with dual decoupled contrast learning method for few-shot object detection. Knowl. Based Syst. 297 (2024)
Yin Wang, Nan Xia, Hang Yu, Xiangfeng Luo
Knowledge Graph Reasoning via Dynamic Subgraph Attention with Low Resource Computation. Neurocomputing 595 (2024)
Xinzhi Wang, Jiayu Guo, Xiangfeng Luo
Hierarchical visual semantic guidance for enhanced relationship recognition in domain knowledge graphs. Eng. Appl. Artif. Intell. 137 (2024)
Ying Tong, Xiangfeng Luo, Liyan Ma, Shaorong Xie, Wenbin Yang, Yinsai Guo
Saliency information and mosaic based data augmentation method for densely occluded object recognition. Pattern Anal. Appl. 27 (2) (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)
Liang Zeng, Liyan Ma, Xiangfeng Luo, Yinsai Guo, Xue Chen
Distilling object detectors with mask-guided feature and relation-based knowledge. Int. J. Comput. Sci. Eng. 27 (2) (2024)
Wei Qin, Hao Wang, Xiangfeng Luo
Open-domain event schema induction via weighted attentive hypergraph neural network. Concurr. Comput. Pract. Exp. 36 (12) (2024)
Yinsai Guo, Liang Zeng, Xiangfeng Luo, Liyan Ma, Xue Chen
Distilling object detectors with mask-guided feature and relation-based knowledge. Int. J. Comput. Sci. Eng. 27 (2) (2024)
Shengwei Gu, Xiangfeng Luo, Hao Wang
Enhancing Answer Selection via Ad-Hoc Knowledge Extraction from Unstructured Web Texts. Int. J. Softw. Eng. Knowl. Eng. 33 (6) (2023)
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)
Xinzhi Cao, Yinsai Guo, Wenbin Yang, Xiangfeng Luo, Shaorong Xie
Intrinsic feature extraction for unsupervised domain adaptation. Int. J. Web Inf. Syst. 19 (5/6) (2023)
Zhaoyong Yan, Liyan Ma, Xiangfeng Luo, Yan Sun
Multi-scale and Multi-stage Deraining Network with Fourier Space Loss. MMM (2) (2023)
Mengke Wang, Shaorong Xie, Xiangfeng Luo, Yang Li, Han Zhang, Hang Yu
HCTA: Hierarchical Cooperative Task Allocation in Multi-Agent Reinforcement Learning. ICTAI (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)
Xi Tao, Hao Wang, Xiangfeng Luo, Pinpin Zhu
Few-Shot Link Prediction using Variational Heterogeneous Attention Networks. SEKE (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)
Xinzhi Wang, Mengyue Li, Yudong Chang, Xiangfeng Luo, Yige Yao, Zhichao Li
Multimodal Cross-Attention Bayesian Network for Social News Emotion Recognition. IJCNN (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)
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)
Shengwei Gu, Xiangfeng Luo, Xinzhi Wang, Yike Guo
Accelerating Multi-Exit BERT Inference via Curriculum Learning and Knowledge Distillation. Int. J. Softw. Eng. Knowl. Eng. 33 (3) (2023)
Yuheng He, Wenbin Yang, Xiangfeng Luo, Liyan Ma, Shaorong Xie
Object-Level Contrast Learning for 3D Sparse Object Detection in Ocean Scene. SEKE (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)
Shaorong Xie, Zhenyu Zhang, Hang Yu, Xiangfeng Luo
Recurrent prediction model for partially observable MDPs. Inf. Sci. 620 (2023)
Wenwen Xiao, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie
DDCL: A Dual Decision-making Continuous Reinforcement Learning Method Based on Sim2Real. SEKE (2023)
Wenwen Xiao, Xiangfeng Luo, Shaorong Xie
Feature semantic space-based sim2real decision model. Appl. Intell. 53 (5) (2023)
Qiaoning Lei, Yinsai Guo, Liyan Ma, Xiangfeng Luo
Few-Shot Object Detection via Instance-wise and Prototypical Contrastive Learning. SEKE (2023)
Xiaokai Zhang, Na Zhu, Yiming He, Jia Zou, Qike Huang, Xiaoxiao Jin, Yanjun Guo, Chenyang Mao, Zhe Zhu, Dengfeng Yue, Fangzhen Zhu, Yang Li, Yifan Wang, Yiwen Huang, Runan Wang, Cheng Qin, Zhenbing Zeng, Shaorong Xie, Xiangfeng Luo, Tuo Leng
FormalGeo: The First Step Toward Human-like IMO-level Geometric Automated Reasoning. CoRR (2023)
Huizhe Su, Hao Wang, Xiangfeng Luo, Shaorong Xie
An end-to-end neural framework using coarse-to-fine-grained attention for overlapping relational triple extraction. Nat. Lang. Eng. 29 (4) (2023)
Nengjun Zhu, Jian Cao, Xinjiang Lu, Chuanren Liu, Hao Liu, Yanyan Li, Xiangfeng Luo, Hui Xiong
Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Xiaoxiao Yu, Xinzhi Wang, Xiangfeng Luo, Jianqi Gao
Multi-scale event causality extraction via simultaneous knowledge-attention and convolutional neural network. Expert Syst. J. Knowl. Eng. 39 (5) (2022)
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)
Junwei Zhang, Hao Wang, Xiangfeng Luo
Dual-VIE: Dual-Level Graph Attention Network for Visual Information Extraction. PRICAI (1) (2022)
Jianqi Gao, Xiangfeng Luo, Hao Wang
Chinese causal event extraction using causality-associated graph neural network. Concurr. Comput. Pract. Exp. 34 (3) (2022)
Jiazhu Dai, Weifeng Zhu, Xiangfeng Luo
A Targeted Universal Attack on Graph Convolutional Network by Using Fake Nodes. Neural Process. Lett. 54 (4) (2022)
Zhigui Chen, Hang Yu, Jinpeng Li, Xiangfeng Luo
Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction. PRICAI (2) (2022)
Wenbin Yang, Suqin Sheng, Xiangfeng Luo, Shaorong Xie
Geometric relation based point clouds classification and segmentation. Concurr. Comput. Pract. Exp. 34 (11) (2022)
Wei Wang, Han Zhang, Yang Li, Zhenyu Zhang, Xiangfeng Luo, Shaorong Xie
USVs-Sim: A general simulation platform for unmanned surface vessels autonomous learning. Concurr. Comput. Pract. Exp. 34 (3) (2022)
Ke Sun, Xiangfeng Luo, Liyan Ma, Shixiong Zhu
Prior distributions-based data augmentation for object detection. Int. J. Comput. Sci. Eng. 25 (1) (2022)
Changhua Xu, Kai Yang, Xue Chen, Xiangfeng Luo, Hang Yu
Transfer Learning for Regression through Adaptive Gaussian Process. ICTAI (2022)
Danyang Zhao, Xinzhi Wang, Xiangfeng Luo
Path embedded hybrid reasoning model for relation prediction in knowledge graphs. Int. J. Embed. Syst. 15 (1) (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)
Qianhui Wang, Xinzhi Wang, Mingke Gao, Xiangfeng Luo, Yang Li, Han Zhang
Fully Parameterized Dueling Mixing Distributional Q-Leaning for Multi-Agent Cooperation. ICTAI (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)
Tingting Jiang, Hao Wang, Xiangfeng Luo, Shaorong Xie, Jingchao Wang
MIFAS: Multi-source heterogeneous information fusion with adaptive importance sampling for link prediction. Expert Syst. J. Knowl. Eng. 39 (4) (2022)
Shukang Si, Shengming Guo, Xiao Xu, Hang Yu, Xiangfeng Luo
Global Interest Transfer Guided Session-based Recommendation. CCIS (2022)
Weixian Wan, Xiangfeng Luo, Liyan Ma, Shaorong Xie
Side-path FPN-based multi-scale object detection. Int. J. Comput. Sci. Eng. 25 (1) (2022)
Weiqiang Jin, Hang Yu, Xiangfeng Luo
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector. ICTAI (2021)
Jianqi Gao, Xiangfeng Luo, Hao Wang, Zijian Wang
Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters. ICTAI (2021)
Yin Wang, Nan Xia, Xiangfeng Luo, Jinhui Li
Global Semantics with Boundary Constraint Knowledge Graph for Chinese Financial Event Detection. ICBK (2021)
Wei Qin, Xiangfeng Luo, Hao Wang
Implicit Business Competitor Inference Using Heterogeneous Knowledge Graph. ICBK (2021)
Xinzhi Wang, Luyao Kou, Vijayan Sugumaran, Xiangfeng Luo, Hui Zhang
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text. IEEE Trans. Cybern. 51 (9) (2021)
Xinzhi Wang, Yudong Chang, Vijayan Sugumaran, Xiangfeng Luo, Peng Wang, Hui Zhang
Implicit Emotion Relationship Mining Based on Optimal and Majority Synthesis From Multimodal Data Prediction. IEEE Multim. 28 (2) (2021)
Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion. PAKDD (1) (2021)
Yang Li, Xinzhi Wang, Wei Wang, Zhenyu Zhang, Jianshu Wang, Xiangfeng Luo, Shaorong Xie
Learning adversarial policy in multiple scenes environment via multi-agent reinforcement learning. Connect. Sci. 33 (3) (2021)
Han Zhang, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie, Shixiong Zhu
Unmanned surface vehicle adaptive decision model for changing weather. Int. J. Comput. Sci. Eng. 24 (1) (2021)
Jianqi Gao, Xiangfeng Luo, Hao Wang
An uncertain future: Predicting events using conditional event evolutionary graph. Concurr. Comput. Pract. Exp. 33 (9) (2021)
Shengwei Gu, Xiangfeng Luo, Hao Wang, Jing Huang, Qin Wei, Subin Huang
Improving answer selection with global features. Expert Syst. J. Knowl. Eng. 38 (1) (2021)
Wei Wang, Xiangfeng Luo, Yang Li, Shaorong Xie
Unmanned surface vessel obstacle avoidance with prior knowledge-based reward shaping. Concurr. Comput. Pract. Exp. 33 (9) (2021)
Kai Xu, Peng Wang, Xue Chen, Xiangfeng Luo, Jianqi Gao
Causal event extraction using causal event element-oriented neural network. Int. J. Comput. Sci. Eng. 24 (6) (2021)
Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion. CoRR (2021)
Yang Li, Xiangfeng Luo, Shaorong Xie
Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning. ICTAI (2021)
Subin Huang, Xiangfeng Luo, Jing Huang, Wei Qin, Shengwei Gu
Neural Entity Synonym Set Generation using Association Information and Entity Constraint. ICKG (2020)
Hao Wang, Qiongxing Tao, Siyuan Du, Xiangfeng Luo
An Extensible Framework of Leveraging Syntactic Skeleton for Semantic Relation Classification. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19 (6) (2020)
Subin Huang, Xiangfeng Luo, Jing Huang, Hao Wang, Shengwei Gu, Yike Guo
Improving taxonomic relation learning via incorporating relation descriptions into word embeddings. Concurr. Comput. Pract. Exp. 32 (14) (2020)
Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang
Web event evolution trend prediction based on its computational social context. World Wide Web 23 (3) (2020)
Li-An Huang, Xiangfeng Luo
EASA: Entity Alignment Algorithm Based on Semantic Aggregation and Attribute Attention. IEEE Access 8 (2020)
Xinzhi Wang, Luyao Kou, Vijayan Sugumaran, Xiangfeng Luo, Hui Zhang
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text. CoRR (2020)
Jingchao Wang, Xinzhi Wang, Xiangfeng Luo, Wei Qin
Open-World Relationship Prediction. ICTAI (2020)
Shixiong Zhu, Xiangfeng Luo, Liyan Ma, Shaorong Xie, Han Zhang
Realistic Style-Transfer Generative Adversarial Network With a Weight-Sharing Strategy. ICTAI (2020)
Lei Zhang, Dandan Jiang, Ruirong Xue, Yawen Yi, Xiangfeng Luo
The key user discovery model based on user importance calculation. Int. J. Comput. Sci. Eng. 21 (2) (2020)
Jiazhu Dai, Weifeng Zhu, Xiangfeng Luo
A Targeted Universal Attack on Graph Convolutional Network. CoRR (2020)
Ze Zheng, Xiangfeng Luo, Hao Wang
MESRG: multi-entity summarisation in RDF graph. Int. J. Comput. Sci. Eng. 23 (1) (2020)
Zheng Xu, Yunhuai Liu, Neil Y. Yen, Lin Mei, Xiangfeng Luo, Xiao Wei, Chuanping Hu
Crowdsourcing Based Description of Urban Emergency Events Using Social Media Big Data. IEEE Trans. Cloud Comput. 8 (2) (2020)
Xinmiao Pei, Hao Wang, Xiangfeng Luo, Jianqi Gao
Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network. ICONIP (4) (2020)
Yang Li, Xinzhi Wang, Jianshu Wang, Wei Wang, Xiangfeng Luo, Shaorong Xie
Cooperative Multi-Agent Reinforcement Learning with Hierarchical Relation Graph under Partial Observability. ICTAI (2020)
Shengwei Gu, Xiangfeng Luo, Hao Wang, Jing Huang, Subin Huang
Abstract Concept Instantiation with Context Relevance Measurement. J. Web Eng. 19 (5-6) (2020)
Jialin Jiang, Xinzhi Wang, Xiangfeng Luo
Interdisciplinary knowledge-based implicit emotion recognition. Concurr. Comput. Pract. Exp. 32 (22) (2020)
Xuelong Xu, Xiangfeng Luo, Liyan Ma
Context-Aware Hierarchical Feature Attention Network For Multi-Scale Object Detection. ICIP (2020)
Zeyu Chen, Xiangfeng Luo, Yan Sun
Synthetic data augmentation rules for maritime object detection. Int. J. Comput. Sci. Eng. 23 (2) (2020)
Xianxian Jin, Xinzhi Wang, Xiangfeng Luo, Subin Huang, Shengwei Gu
Inter-sentence and Implicit Causality Extraction from Chinese Corpus. PAKDD (1) (2020)
Jianshu Wang, Xinzhi Wang, Xiangfeng Luo, Zhenyu Zhang, Wei Wang, Yang Li
SEM: Adaptive Staged Experience Access Mechanism for Reinforcement Learning. ICTAI (2020)
Zheng Xu, Xiangfeng Luo, Yunhuai Liu, Lin Mei, Chuanping Hu
Power law based foundation for the measurement of discrimination information for human knowledge representation. Future Gener. Comput. Syst. 96 (2019)
Xiangfeng Luo, Yawen Yi
Topic-Specific Emotion Mining Model for Online Comments. Future Internet 11 (3) (2019)
Zhenyu Zhang, Xiangfeng Luo, Tong Liu, Shaorong Xie, Jianshu Wang, Wei Wang, Yang Li, Yan Peng
Proximal Policy Optimization with Mixed Distributed Training. ICTAI (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiangfeng Luo