Haolong Xiang

According to our database, Haolong Xiang authored at least 67 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection.

Yang Cao, Sikun Yang, Chen Li, Haolong Xiang, Lianyong Qi, Bo Liu, Rongsheng Li, Ming Liu

Mach. Learn., July, 2026

Erratum: Knowledge-Driven Reasoning for Compatible and Interpretable API Recommendation via Teacher LLM Distillation.

Lianyong Qi, Jianye Xie, Chunhua Hu, Xiaolong Xu, Haolong Xiang, Haipeng Dai, Rong Gu, Xuyun Zhang, Wanchun Dou

ACM Trans. Inf. Syst., February, 2026

Federated Learning-Based Anomaly Detection with Isolation Forest in the IoT-Edge Continuum.

Haolong Xiang, Xuyun Zhang, Xiaolong Xu, Amin Beheshti, Lianyong Qi, Yujie Hong, Wanchun Dou

ACM Trans. Multim. Comput. Commun. Appl., January, 2026

Knowledge-Driven Reasoning for Compatible and Interpretable API Recommendation via Teacher LLM Distillation.

Lianyong Qi, Jianye Xie, Chunhua Hu, Xiaolong Xu, Haolong Xiang, Haipeng Dai, Rong Gu, Xuyun Zhang, Wanchun Dou

ACM Trans. Inf. Syst., January, 2026

Multi-Center Hierarchical Federated Learning for Personalized User Experiences in the Metaverse.

Xiaolong Xu, Jiayang Sun, Guangming Cui, Haolong Xiang, Lianyong Qi, Xuyun Zhang, Amin Beheshti

IEEE Trans. Serv. Comput., 2026

pFedBlock: A Blockchain-Enhanced Split Federated Learning Framework for Robust and Traceable Model Training.

Jie Chen, Xiaolong Xu, Haolong Xiang, Shucun Fu, Muhammad Bilal

IEEE Internet Things J., 2026

DyLogNet: A Dynamic Multi-Relational Graph Framework for Log Anomaly Detection.

Xudong Zhao, Xiaolong Xu, Haolong Xiang, Tong Gao, Lianyong Qi, Amin Beheshti, Xuyun Zhang, Wanchun Dou

Proceedings of the ACM Web Conference 2026, 2026

Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation.

Jianye Xie, Lianyong Qi, Weiming Liu, Anqi Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Wenwen Gong, Yang Zhang, Amin Beheshti, Wanchun Dou

Proceedings of the ACM Web Conference 2026, 2026

PLIKD: Prompt Learning with Instance-aware Knowledge Distillation for Web-scale Semantic Image Classification.

Jianye Xie, Chunhua Hu, Lianyong Qi, Fan Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Shichao Pei, Amin Beheshti, Wanchun Dou, Xiaokang Zhou

Proceedings of the ACM Web Conference 2026, 2026

CIFAD: Causal-Invariant Subspace Learning for Few-Shot Anomaly Detection on Dynamic Relational Graphs.

Yu Xiao, Haolong Xiang, Xiaolong Xu, Lianyong Qi, Xuyun Zhang, Wei Fan, Wanchun Dou

Proceedings of the ACM Web Conference 2026, 2026

Automated C Vulnerability Detection via Structure-Enhanced Graph Transformer and RBM.

Yibo Zhou, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Siyu Wu

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

GSDiffRec: Enhancing Personalized Sequential Recommendation via Diffusion Augmentation and Guidance Optimization.

Ruxue Han, Lianyong Qi, Chao Yan, Weiyi Zhong, Boyuan Yan, Bing Zhao, Xiaoran Zhao, Zhikang Feng, Xiaolong Xu, Haolong Xiang, Xuyun Zhang

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Enhanced Cold-Start Sequential Recommendation with Causal Diffusion Preference Modeling.

Hongsheng Dong, Haolong Xiang, Xiaolong Xu, Xuyun Zhang

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction.

Weiyi Zhong, Weiming Liu, Lianyong Qi, Xiaoran Zhao, Xiaolong Xu, Haolong Xiang, Yang Cao, Shichao Pei, Qiang Ni

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion.

Haolong Xiang, Peisi Wang, Xiaolong Xu, Kun Yi, Xuyun Zhang, Quan Z. Sheng, Amin Beheshti, Wei Fan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

C2lRec: Causal Contrastive Learning for User Cold-start Recommendation with Social Variables.

Xiaolong Xu, Hongsheng Dong, Haolong Xiang, Xiyuan Hu, Xiaoyong Li, Xiaoyu Xia, Xuyun Zhang, Lianyong Qi, Wanchun Dou

ACM Trans. Inf. Syst., November, 2025

Lightweight Federated Learning for Terminal-Edge-Cloud With Two-Step Privacy Protection in Consumer Electronics.

Chao Chen, Xiaolong Xu, Yifan Zhang, Muhammad Bilal, Haolong Xiang

IEEE Trans. Consumer Electron., November, 2025

Anomaly Detection Based on Isolation Mechanisms: A Survey.

Yang Cao, Haolong Xiang, Hang Zhang, Ye Zhu, Kai Ming Ting

Mach. Intell. Res., October, 2025

Blockchain-Enabled Secure, Fair, and Scalable Data Sharing in Zero-Trust Edge-End Environment.

Xiaolong Xu, Ke Meng, Haolong Xiang, Guangming Cui, Xiaoyu Xia, Wanchun Dou

IEEE J. Sel. Areas Commun., June, 2025

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.

Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li

CoRR, February, 2025

A learning-based anomaly detection framework for secure recommendation.

Haolong Xiang, Wenhao Fei, Ruiyang Ni, Xuyun Zhang

Inf. Sci., 2025

Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.

Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li

Proceedings of the ACM on Web Conference 2025, 2025

MGF-ESE: An Enhanced Semantic Extractor with Multi-Granularity Feature Fusion for Code Summarization.

Xiaolong Xu, Yuxin Cao, Hongsheng Hu, Haolong Xiang, Lianyong Qi, Junqun Xiong, Wanchun Dou

Proceedings of the ACM on Web Conference 2025, 2025

HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation.

Xiaolong Xu, Xudong Zhao, Haolong Xiang, Xuyun Zhang, Wei Shen, Hongsheng Hu, Lianyong Qi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments.

Siyuan Wu, Yongzhe Jia, Haolong Xiang, Xiaolong Xu, Xuyun Zhang, Lianyong Qi, Wanchun Dou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection.

Yifan Zhang, Haolong Xiang, Xiaolong Xu, Zishun Rui, Xiaoyong Li, Lianyong Qi, Fei Dai

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion.

Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation.

Fan Lu, Xiaolong Xu, Haolong Xiang, Lianyong Qi, Xiaokang Zhou, Fei Dai, Wanchun Dou

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Universal Backdoor Defense via Label Consistency in Vertical Federated Learning.

Peng Chen, Haolong Xiang, Xin Du, Xiaolong Xu, Xuhao Jiang, Zhihui Lu, Jirui Yang, Qiang Duan, Wanchun Dou

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

FedMLU: Mitigating Source Inference Attacks in Federated Learning Without Losing Utility for Secure IoT Services.

Mengmeng Cui, Hao Cheng, Xuanru Guo, Haolong Xiang, Kun Yi, Xiaoyong Li, Xiaolong Xu

Proceedings of the IEEE International Conference on Web Services, 2025

Layer-Wise Decoupling for Personalized Federated Learning in Web-Sourced Non-Iid Data.

Yong Cheng, Fengyu Dong, Ruoshui Wang, Haolong Xiang, Guoqiang Liu, Xiaoyong Li, Xiaolong Xu

Proceedings of the IEEE International Conference on Web Services, 2025

DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning.

Xiaolong Xu, Yibo Zhou, Haolong Xiang, Xiaoyong Li, Xuyun Zhang, Lianyong Qi, Wanchun Dou

Proceedings of the Forty-second International Conference on Machine Learning, 2025

HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting.

Dejiang Zhang, Lianyong Qi, Yuwen Liu, Xucheng Zhou, Jianye Xie, Haolong Xiang, Xiaolong Xu, Xuyun Zhang, Yang Cao, Yang Zhang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers.

Siyuan Wu, Yongzhe Jia, Bowen Liu, Haolong Xiang, Xiaolong Xu, Wanchun Dou

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation.

Wenwen Gong, Yangliao Geng, Dan Zhang, Yifan Zhu, Xiaolong Xu, Haolong Xiang, Amin Beheshti, Xuyun Zhang, Lianyong Qi

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification.

Xiaolong Xu, Yibo Zhou, Haolong Xiang, Xiaoyong Li, Xuyun Zhang, Lianyong Qi, Wanchun Dou

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A Knowledge-Driven Anomaly Detection Framework for Social Production System.

Zheng Li, Xiaolong Xu, Tian Hang, Haolong Xiang, Yan Cui, Lianyong Qi, Xiaokang Zhou

IEEE Trans. Comput. Soc. Syst., June, 2024

A cloud-edge service offloading method for the metaverse in smart manufacturing.

Haolong Xiang, Xuyun Zhang, Muhammad Bilal

Softw. Pract. Exp., 2024

Open-world structured sequence learning via dense target encoding.

Qin Zhang, Ziqi Liu, Qincai Li, Haolong Xiang, Zhizhi Yu, Junyang Chen, Peng Zhang, Xiaojun Chen

Inf. Sci., 2024

Real-time and Downtime-tolerant Fault Diagnosis for Railway Turnout Machines (RTMs) Empowered with Cloud-Edge Pipeline Parallelism.

Fan Wu, Muhammad Bilal, Haolong Xiang, Heng Wang, Jinjun Yu, Xiaolong Xu

CoRR, 2024

CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation.

Xiaolong Xu, Hongsheng Dong, Lianyong Qi, Xuyun Zhang, Haolong Xiang, Xiaoyu Xia, Yanwei Xu, Wanchun Dou

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MPLNet: Industrial Anomaly Detection with Memory Bank and Prompt Learning.

Hao Zhou, Xuanru Guo, Mingcheng Ji, Jielin Jiang, Haolong Xiang, Shengjun Xue

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Advanced Virtualization in Automotive Operating System: Technology Overview and Scheme Design.

Yi Liu, Mengyun Yao, Xinglong Yang, Min Qin, Liang Ma, Haolong Xiang

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

A Crowdsensing Service Pricing Method in Vehicular Edge Computing.

Zheng Li, Sizhe Tang, Hao Tian, Haolong Xiang, Xiaolong Xu, Wanchun Dou

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Mining Relational Similarity in Social Networks for Enhanced Recommendations.

Pengcheng Guo, Qingyang Wang, Jielin Jiang, Siyu Wu, Haolong Xiang, Xinyue Ji, Shengjun Xue

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Enhanced Multi-Intent Recognition with BERT Embeddings and Graph-based Decoding.

Mengmeng Cui, Rui Zhang, Haolong Xiang, Shengjun Xue

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Enhanced Log Anomaly Detection with Contrastive Learning and BERT Embeddings.

Mengmeng Cui, Tong Gao, Haolong Xiang, Xiaolong Xu, Changyan Lu, Junqun Xiong, Shengjun Xue

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Attention Based Document-level Relation Extraction with None Class Ranking Loss.

Xiaolong Xu, Chenbin Li, Haolong Xiang, Lianyong Qi, Xuyun Zhang, Wanchun Dou

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

EEiF: Efficient Isolated Forest with e Branches for Anomaly Detection.

Yifan Zhang, Haolong Xiang, Xuyun Zhang, Xiaolong Xu, Wei Fan, Qin Zhang, Lianyong Qi

Proceedings of the IEEE International Conference on Data Mining, 2024

An Inference Acceleration Approach for Boosting DNN Cold Start in Cloud-Edge Computing.

Hao Tian, Haolong Xiang, Tingtong Zhu, Siyuan Wu, Cheng Chen, Zheng Li, Mingxu Jiang, Wanchun Dou

Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

AttRel: Single Module Based Joint Entity and Relation Extraction with Attention Enhanced Text Embedding.

Mengmeng Cui, Chenbin Li, Haolong Xiang, Lianyong Qi, Wanchun Dou, Xiaolong Xu

Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2023

OptIForest: Optimal Isolation Forest for Anomaly Detection.

Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Federated Anomaly Detection with Isolation Forest for IoT Network Traffics.

Junyan Li, Xuyun Zhang, Haolong Xiang, Amin Beheshti

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

A Blockchain-enabled Secure Access Management Method in Edge Computing.

Xutong Jiang, Guoming Zhang, Hao Tian, Haolong Xiang, Xuyun Zhang, Wanchun Dou

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection.

Haolong Xiang, Xuyun Zhang, Mark Dras, Amin Beheshti, Wanchun Dou, Xiaolong Xu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Edge computing empowered anomaly detection framework with dynamic insertion and deletion schemes on data streams.

Haolong Xiang, Xuyun Zhang

World Wide Web, 2022

DeepiForest: A Deep Anomaly Detection Framework with Hashing Based Isolation Forest.

Haolong Xiang, Hongsheng Hu, Xuyun Zhang

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Clustering-based Efficient Privacy-preserving Face Recognition Scheme without Compromising Accuracy.

Meng Liu, Hongsheng Hu, Haolong Xiang, Chi Yang, Lingjuan Lyu, Xuyun Zhang

ACM Trans. Sens. Networks, 2021

Isolation Forest Based Anomaly Detection Framework on Non-IID Data.

Haolong Xiang, Jiayu Wang, Kotagiri Ramamohanarao, Zoran Salcic, Wanchun Dou, Xuyun Zhang

IEEE Intell. Syst., 2021

2020

Camshift tracking method based on correlation probability graph for model pig.

Xiangnan Zhang, Wenwen Gong, Qifeng He, Haolong Xiang, Dan Li, Yawei Wang, Yifei Chen, Yongtao Liu

EURASIP J. Wirel. Commun. Netw., 2020

OPHiForest: Order Preserving Hashing Based Isolation Forest for Robust and Scalable Anomaly Detection.

Haolong Xiang, Zoran Salcic, Wanchun Dou, Xiaolong Xu, Lianyong Qi, Xuyun Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Camshift Tracking Method Based on Correlation Probability Graph for Model Pig.

Xiangnan Zhang, Wenwen Gong, Qifeng He, Haolong Xiang, Dan Li, Yawei Wang, Yifei Chen, Yaqian Deng, Fanglin Geng, Yongtao Liu

Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

2018

An IoT-Oriented Offloading Method with Privacy Preservation for Cloudlet-Enabled Wireless Metropolitan Area Networks.

Zhanyang Xu, Renhao Gu, Tao Huang, Haolong Xiang, Xuyun Zhang, Lianyong Qi, Xiaolong Xu

Sensors, 2018

2017

Fair energy-efficient virtual machine scheduling for Internet of Things applications in cloud environment.

Guowen Xing, Xiaolong Xu, Haolong Xiang, Shengjun Xue, Sai Ji, Jun Yang

Int. J. Distributed Sens. Networks, 2017

QET: a QoS-based energy-aware task scheduling method in cloud environment.

Shengjun Xue, Yiyun Zhang, Xiaolong Xu, Guowen Xing, Haolong Xiang, Sai Ji

Clust. Comput., 2017

Privacy-Preserving Distributed Service Recommendation Based on Locality-Sensitive Hashing.

Lianyong Qi, Haolong Xiang, Wanchun Dou, Chi Yang, Yongrui Qin, Xuyun Zhang

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

2016

An Adaptive Cloudlet Placement Method for Mobile Applications over GPS Big Data.

Haolong Xiang, Xiaolong Xu, Haoquan Zheng, Shu Li, Taotao Wu, Wanchun Dou, Shui Yu

Proceedings of the 2016 IEEE Global Communications Conference, 2016