1.Haosen Wang,Chenglong Shi, Can Xu, Surong Yan, Rong Xie, Pan Tang.Enhancing Homophily in Heterogeneous Graph Contrastive Learning via Connection Strength and Multi-view Self-Expression.The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 709–718, 2025.CCF A类国际会议。
2.Haosen Wang, Can Xu, Chenglong Shi, Pengfei Zheng, Shiming Zhang, Minhao Cheng, Hongyang Chen.Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering.The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 3057–3068, 2024.CCF A类国际会议。
3.Haosen Wang, Pan Tang, Hanyue Kong, Yilun Jin, Chunqi Wu, Linghong Zhou.DHCF: Dual Disentangled-view Hierarchical Contrastive Learning for Fake News Detection on Social Media.Information Sciences, Vol. 645, 119323, 2023.CCF B类期刊。
4.Haosen Wang, Pan Tang, Linghong Zhou, Chenglong Shi, Can Xu, Pengfei Zheng, Surong Yan, Chunqi Wu.A Structure Redefined Graph Pretraining With Contrastive Prompting for Fake News Detection.IEEE Transactions on Computational Social Systems, Vol. 12, No. 5, pp. 2254–2266, 2025.JCR-Q1，CCF C类期刊。
5.Haosen Wang, Surong Yan, Chunqi Wu, Long Han, Linghong Zhou.Cross-view Temporal Graph Contrastive Learning for Session-based Recommendation.Knowledge-Based Systems, Vol. 264, 110304, 2023.JCR-Q1，CCF C类期刊
6.Surong Yan,Haosen Wang*（通讯作者）, Yixiao Li, Chunqi Wu, Long Han, Chenglong Shi, Ruilin Guo.Metapath-guided Dual Semantic-aware Filtering for HIN-based Recommendation.The Journal of Supercomputing, Vol. 79, No. 11, pp. 11934–11964, 2023.JCR-Q2，CCF C类期刊。
7.Chenglong Shi,Haosen Wang*（通讯作者）, Chunqi Wu. Knowledge-Guided Contrastive Preference Modeling for Sequential Recommendation. IEEE Transactions on Computational Social Systems, 2026.JCR-Q1，CCF C类期刊。
8.Can Xu,Haosen Wang, Weigang Wang, Pengfei Zheng, Hongyang Chen.Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation.Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Vol. 38, No. 1, pp. 338–346, 2024.CCF A类国际会议。
9.Surong Yan, Kwei-Jay Lin,Haosen Wang.Toward Lightweight End-to-End Semantic Learning of Real-Time Human Activity Recognition for Enabling Ambient Intelligence.IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 36, No. 11, pp. 7157–7170, 2024.CCF A类期刊。
10.Surong Yan, Chenglong Shi,Haosen Wang, Lei Chen, Ling Jiang, Ruilin Guo, Kwei-Jay Lin.Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation.ACM Transactions on Information Systems (TOIS), Vol. 42, No. 5, Article 120, 2024.CCF A类期刊。
11.Surong Yan, Kwei-Jay Lin, Xiaolin Zheng,Haosen Wang.LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation.ACM Transactions on Information Systems (TOIS), Vol. 40, No. 3, Article 54, pp. 1–28, 2022.CCF A类期刊。
12.Chenglong Shi,Haosen Wang, Pan Tang.Continuous Data Augmentation via Condition-Tokenized Diffusion Transformer for Sequential Recommendation.The 34th ACM International Conference on Information and Knowledge Management (CIKM), pp. 2632–2642, 2025.CCF B类国际会议。
13.Chenglong Shi, Surong Yan, Shuai Zhang,Haosen Wang, Kwei-Jay Lin.Knowledge-Guided Semantically Consistent Contrastive Learning for Sequential Recommendation.Neural Networks, Vol. 185, 107191, 2025.
14.Can Xu, Lingyong Yan, Jiayi Wu,Haosen Wang, Shuaiqiang Wang, Yuchen Li, Jizhou Huang, Dawei Yin, Xiang Li.Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models.Findings of the Association for Computational Linguistics: ACL 2026, 2026.CCF A类会议Finding。
15.Chunqi Wu,Haosen Wang, Chenglong Shi, Pengfei Zheng, Pan Tang.RayQ-GAD: Rayleigh Quotient-Driven Graph Pruning for Anomaly Detection.Knowledge-Based Systems, Vol. 344, 116069, 2026.JCR-Q1，CCF C类期刊。
16.Rong Xie, Zhong Chen, Weiguo Cao,Haosen Wang.Federated Self-Expanding Neural Network Learning Framework for Heterogeneous Devices.Expert Systems with Applications, Vol. 311, 131199, 2026.JCR-Q1，CCF C类期刊。
17.Hanbin Lu,Haosen Wang.Graph Contrastive Pre-training for Anti-money Laundering.International Journal of Computational Intelligence Systems, Vol. 17, Article 307, 2024.
18.Surong Yan, Chongyang Li,Haosen Wang, Bin Lin, Yixian Yuan.Feature Interactive Graph Neural Network for KG-based Recommendation.Expert Systems with Applications, Vol. 237, Part A, 121411, 2024.JCR-Q1，CCF C类期刊。
19.Pan Tang, Wei Xu,Haosen Wang.Network-Based Prediction of Financial Cross-sector Risk Spillover in China: A Deep Learning Approach.The North American Journal of Economics and Finance, Vol. 72, 102151, 2024.JCR-Q2。
20.Surong Yan,Haosen Wang, Yixiao Li, Yuan Zheng, Long Han.Attention-aware Metapath-based Network Embedding for HIN-based Recommendation.Expert Systems with Applications, Vol. 174, 114601, 2021.JCR-Q1，CCF C类期刊。
