| 2026 | ICPR | LLM-Based POI Recommendation Incorporating Explicit Behavior Pattern. | Xin Yao, Xiangfeng Luo, Xue Chen, Jinhui Zhu |
| 2026 | ISKE | A Semi-supervised Approach with Dual Filters for Graph-Based Fraud Detection. | Lijing Huang, Zhengyang Liu, Xiangfeng Luo, Shaorong Xie |
| 2026 | ISKE | Re-KGR: Mitigating Factual Hallucinations via Hybrid Graph Reasoning and Semantic Refinement. | Yuxuan Li, Xinzhi Wang, Ruishen Liu, Mingxuan Wang, Xiangfeng Luo |
| 2026 | ISKE | SPARQ: Graph-Structured Queries Drive GNN Retrieval for Knowledge Graph Question Answering. | Mingxuan Wang, Xinzhi Wang, Ruishen Liu, Yuxuan Li, Xiangfeng Luo |
| 2026 | ISKE | KRAG: Refining Knowledge for Retrieval-Augmented Generation Through Kahneman-Tversky Optimization. | Cheng Zhang, Jianqiang Huang, Xiangfeng Luo |
| 2026 | KSEM | Enhancing Grounded Multimodal Named Entity Recognition with Dual-Level Representation Alignment. | Xinzhi Wang, Mingxuan Wang, Ruishen Liu, Xiangfeng Luo |
| 2026 | SIGIR | F2-Gen: An Open-Source Web Platform for Scenario-Driven Financial Fraud Data Simulation. | Junquan Gu, Zehao Gong, Runchen Ji, Kun Shi, Xiangfeng Luo, Hang Yu |
| 2025 | AAAI | Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels. | Pengbo Li, Hang Yu, Xiangfeng Luo |
| 2025 | CSCWD | STSR-Nav: Spatial-Temporal Scene Representation for Navigation Policy Learning Based on UAV-UGV Collaborative Perception. | Jie Liu, Shaorong Xie, Xiangfeng Luo, Xinzhi Wang, Zhenyu Zhang, Tao Wang |
| 2025 | EMNLP | HDiff: Confidence-Guided Denoising Diffusion for Robust Hyper-relational Link Prediction. | Xiangfeng Luo, Ruoxin Zheng, Jianqiang Huang, Hang Yu |
| 2025 | ICASSP | Improving Knowledge Base Question Answering via Retrieval Enhancement and Stepwise Reasoning. | Dian Huang, Jianqi Gao, Xiangfeng Luo, Hao Wu |
| 2025 | IJCNN | ESSI-KG: Enhancing Structural Semantic Integration in KG-to-Text Pretraining Models. | Xin Tie, Ruishen Liu, Xiangfeng Luo, Shaorong Xie, Xinzhi Wang |
| 2025 | IJCNN | Iterative Progressive Reasoning Network for Event Causality Identification. | Xingzhi Wang, Ao Huang, Xiangfeng Luo, Huizhe Su |
| 2025 | IJCNN | Adversarial Contrastive Training in Parameter Space for Improved Text Classification. | Hao Wu, Xiangfeng Luo, Jianqi Gao, Dian Huang |
| 2025 | IJCNN | HARFT: Role and Function-Based Cooperation Approach for Heterogeneous Multi-Agent. | Long Yang, Shaorong Xie, Xiangfeng Luo |
| 2025 | IJCNN | Feature Fusion Contrastive Learning and Adaptive Correction Framework for Unsupervised Graph Anomaly Detection. | Yicheng Zhang, Shaorong Xie, Junquan Gu, Xiangfeng Luo, Hang Yu |
| 2025 | ICTAI | CANA: Enhancing Graph-Based Fraud Detection via Confidence-Aware Neighborhood Aggregation. | Zujia Wang, Jianqi Gao, Hang Yu, Zhengyang Liu, Junquan Gu, Xiangfeng Luo, Xue Chen |
| 2025 | PRICAI | FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling. | Zehao Gong, Junquan Gu, Xue Chen, Xiangfeng Luo, Zhengyang Liu, Hang Yu |
| 2025 | QRS | A Semantic-Driven Method for Adaptive Compression in Retrieval-Augmented Generation for Language Models. | Wan Zhou, Chenye Song, Shanshan Jiao, Xiangfeng Luo |
| 2025 | WWW | A Masked AutoEncoder with Strong-Weak Mutual Information for Anomaly Detection in Dynamic Incomplete Graphs. | Junquan Gu, Hang Yu, Xiangfeng Luo |
| 2025 | WWW | Federated Graph Anomaly Detection via Disentangled Representation Learning. | Zhengyang Liu, Hang Yu, Xiangfeng Luo |
| 2024 | AAAI | Barely Supervised Learning for Graph-Based Fraud Detection. | Hang Yu, Zhengyang Liu, Xiangfeng Luo |
| 2024 | ICDM | Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation. | Nengjun Zhu, Lingdan Sun, Xiangfeng Luo, Jian Cao, Qi Zhang, Xinjiang Lu |
| 2024 | IJCNN | HKFNet: Fine-Grained External Knowledge Fusion for Fact-Based Visual Question Answering. | Bojin Li, Yan Sun, Xue Chen, Xiangfeng Luo |
| 2024 | IJCNN | Homophilic and Heterophilic-Aware Sparse Graph Transformer for Financial Fraud Detection. | Xin Wang, Xiangfeng Luo, Xinzhi Wang, Hang Yu |
| 2024 | ICTAI | Efficient Compensation of Action for Reinforcement Learning Policies in Sim2Real. | Weitao Zhang, Shaorong Xie, Xiangfeng Luo, Wenwen Xiao, Tao Wang |
| 2024 | KSEM | Optimize Rule Mining Based on Constraint Learning in Knowledge Graph. | Kaiyue Cai, Xinzhi Wang, Xiangfeng Luo |
| 2024 | NAACL | COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion. | Jinpeng Li, Hang Yu, Xiangfeng Luo, Qian Liu |
| 2024 | QRS | Temporal Knowledge Graph Reasoning with Dual Guiding Constraints. | Jinpeng Li, Shanshan Jiao, Shengming Guo, Xiangfeng Luo |
| 2023 | IJCNN | ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation. | Xueyuan Chen, Xiao Wei, Hang Yu, Xiangfeng Luo |
| 2023 | IJCNN | Multimodal Cross-Attention Bayesian Network for Social News Emotion Recognition. | Xinzhi Wang, Mengyue Li, Yudong Chang, Xiangfeng Luo, Yige Yao, Zhichao Li |
| 2023 | IJCNN | Event Extraction Based on the Fusion of Dynamic Prompt Information and Multi-Dimensional Features. | Yin Wang, Nan Xia, Xiangfeng Luo, Hang Yu |
| 2023 | ICTAI | HCTA: Hierarchical Cooperative Task Allocation in Multi-Agent Reinforcement Learning. | Mengke Wang, Shaorong Xie, Xiangfeng Luo, Yang Li, Han Zhang, Hang Yu |
| 2023 | MMM | Multi-scale and Multi-stage Deraining Network with Fourier Space Loss. | Zhaoyong Yan, Liyan Ma, Xiangfeng Luo, Yan Sun |
| 2023 | SEKE | Object-Level Contrast Learning for 3D Sparse Object Detection in Ocean Scene. | Yuheng He, Wenbin Yang, Xiangfeng Luo, Liyan Ma, Shaorong Xie |
| 2023 | SEKE | Few-Shot Object Detection via Instance-wise and Prototypical Contrastive Learning. | Qiaoning Lei, Yinsai Guo, Liyan Ma, Xiangfeng Luo |
| 2023 | SEKE | Few-Shot Link Prediction using Variational Heterogeneous Attention Networks. | Xi Tao, Hao Wang, Xiangfeng Luo, Pinpin Zhu |
| 2023 | SEKE | DDCL: A Dual Decision-making Continuous Reinforcement Learning Method Based on Sim2Real. | Wenwen Xiao, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie |
| 2022 | ICANN | IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction. | Zhengming Zhao, Hang Yu, Xiangfeng Luo, Jianqi Gao, Xiao Xu, Shengming Guo |
| 2022 | ICTAI | Learning from Suboptimal Demonstration via Trajectory-Ranked Adversarial Imitation. | Luyao Chen, Shaorong Xie, Tao Pang, Hang Yu, Xiangfeng Luo, Zhenyu Zhang |
| 2022 | ICTAI | Fully Parameterized Dueling Mixing Distributional Q-Leaning for Multi-Agent Cooperation. | Qianhui Wang, Xinzhi Wang, Mingke Gao, Xiangfeng Luo, Yang Li, Han Zhang |
| 2022 | ICTAI | Transfer Learning for Regression through Adaptive Gaussian Process. | Changhua Xu, Kai Yang, Xue Chen, Xiangfeng Luo, Hang Yu |
| 2022 | KSEM | DBGARE: Across-Within Dual Bipartite Graph Attention for Enhancing Distantly Supervised Relation Extraction. | Hejian Gu, Hang Yu, Xiangfeng Luo |
| 2022 | PRICAI | Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction. | Zhigui Chen, Hang Yu, Jinpeng Li, Xiangfeng Luo |
| 2022 | PRICAI | Dual-VIE: Dual-Level Graph Attention Network for Visual Information Extraction. | Junwei Zhang, Hao Wang, Xiangfeng Luo |
| 2021 | ICTAI | Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters. | Jianqi Gao, Xiangfeng Luo, Hao Wang, Zijian Wang |
| 2021 | ICTAI | CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector. | Weiqiang Jin, Hang Yu, Xiangfeng Luo |
| 2021 | ICTAI | Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning. | Yang Li, Xiangfeng Luo, Shaorong Xie |
| 2021 | PAKDD | Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion. | Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao |
| 2020 | ICIP | Context-Aware Hierarchical Feature Attention Network For Multi-Scale Object Detection. | Xuelong Xu, Xiangfeng Luo, Liyan Ma |
| 2020 | ICONIP | Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network. | Xinmiao Pei, Hao Wang, Xiangfeng Luo, Jianqi Gao |
| 2020 | ICTAI | Cooperative Multi-Agent Reinforcement Learning with Hierarchical Relation Graph under Partial Observability. | Yang Li, Xinzhi Wang, Jianshu Wang, Wei Wang, Xiangfeng Luo, Shaorong Xie |
| 2020 | ICTAI | Open-World Relationship Prediction. | Jingchao Wang, Xinzhi Wang, Xiangfeng Luo, Wei Qin |
| 2020 | ICTAI | SEM: Adaptive Staged Experience Access Mechanism for Reinforcement Learning. | Jianshu Wang, Xinzhi Wang, Xiangfeng Luo, Zhenyu Zhang, Wei Wang, Yang Li |
| 2020 | ICTAI | Realistic Style-Transfer Generative Adversarial Network With a Weight-Sharing Strategy. | Shixiong Zhu, Xiangfeng Luo, Liyan Ma, Shaorong Xie, Han Zhang |
| 2020 | PAKDD | Inter-sentence and Implicit Causality Extraction from Chinese Corpus. | Xianxian Jin, Xinzhi Wang, Xiangfeng Luo, Subin Huang, Shengwei Gu |
| 2019 | ICTAI | Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts. | Qiongxing Tao, Xiangfeng Luo, Hao Wang, Richard Y. D. Xu |
| 2019 | ICTAI | Proximal Policy Optimization with Mixed Distributed Training. | Zhenyu Zhang, Xiangfeng Luo, Tong Liu, Shaorong Xie, Jianshu Wang, Wei Wang, Yang Li, Yan Peng |
| 2019 | ICTAI | Multi-task Learning for Relation Extraction. | Kai Zhou, Xiangfeng Luo, Hao Wang, Richard Y. D. Xu |
| 2015 | ICDM | Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. | Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo |
| 2014 | IJCNN | Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system. | Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo |
| 2013 | WISE | KNOWLE: Searching News in the Search Pattern of Knowledge Flow. | Xiao Wei, Xiangfeng Luo, Qing Li, Jun Zhang |
| 2011 | DASC | Building Hierarchical Keyword Level Association Link Networks for Web Events Semantic Analysis. | Junyu Xuan, Xiangfeng Luo, Shunxiang Zhang, Zheng Xu, Huimin Liu, Feiyue Ye |
| 2011 | DASC | Model Interactive Search between User and Associated Link Networks. | Baiquan Zhu, Xiangfeng Luo, Yang Liu, Xiang He, Lingyu Xu |
| 2011 | ICWS | A History Record-Based Service Optimization Method for QoS-Aware Service Composition. | Wenmin Lin, Wanchun Dou, Xiangfeng Luo, Jinjun Chen |
| 2010 | ICPADS | Building Similar Link Network in Large-Scale Web Resources. | Xiangfeng Luo, Jingjing Ni, Jun Zhang, Lizhe Wang |
| 2009 | ICPADS | Cyberinfrastructure on Tumor Gene Expresstion Data Processing. | Wenjun Lu, Yue Wu, Zongtian Liu, Qing Li, Xiangfeng Luo |
| 2009 | ICPADS | Association Link Network: An Incremental Semantic Data Model on Organizing Web Resources. | Zheng Xu, Xiangfeng Luo, Wenjun Lu |
| 2009 | ICWS | Discovery of Semantic Web Service Flow Based on Computation. | Fangfang Liu, Yuliang Shi, Xiangfeng Luo, Guoning Liang, Zheng Xu |
| 2009 | ISPA | Generation of Web Knowledge Flow for Personalized Services. | Jie Yu, Xiangfeng Luo, Feiyue Ye, Yongmei Lei |
| 2008 | GPC | Textual Knowledge Flow Based Intelligent Browsing of Topics. | Xiangfeng Luo, Qingliang Hu, Fangfang Liu, Jie Yu, Xinhuai Tang |
| 2008 | HPCC | Generating Associated Relation between Documents. | Xiangfeng Luo, Guoning Liang, Shijun Liu |
| 2008 | HPCC | The Intelligent Cluster Model Based on Semantic Similarity. | Lingyu Xu, Shijie Sun, Yan Li, Na Zhang, Xiangfeng Luo |
| 2008 | ICWS | Exploiting Independence in Design of Web Service Composition. | Fangfang Liu, Yan Chi, Xiangfeng Luo |