avatar

Shoujin Wang

Publications

  • Preprint:
    Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal. Causal Learning for Trustworthy Recommender Systems: A Survey. arXive.
  • Conference Papers: 22 CORE A*, 15 CORE A, 17 CCF A
  1. Zhufeng Shao, Shoujin Wang, Wenpeng Lu, Weiyu Zhang, Hongjiao Guan, Long Zhao. Filter-enhanced Hypergraph Transformer for Multi-behaviour Sequential Recommendation. In Proceedings of the 2024 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024, CCF B).
  2. Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu. MSynFD: Multi-hop Syntax aware Fake News Detection. In Proceedings of the 2024 ACM Web Conference (TheWebConf 2024, CORE A*, CCF A).
  3. Peilin Zhou, You-Liang Huang, Yueqi XIE, Jingqi Gao, Shoujin Wang, Jaeboum KIM, Sunghun Kim. Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. In Proceedings of the 2024 ACM Web Conference (TheWebConf 2024, CORE A*, CCF A).
  4. Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Ivor Tsang, Liang Hu. Causal Intervention for Abstractive Related Work Generation. In proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Findings, CORE A*).
  5. Yijun Yin, Qi Zhang, Chongyang Shi, Liang Xiao, Usman Naseem, Shoujin Wang, Liang Hu. Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference. In proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Findings, CORE A*).
  6. Kun Yi, Qi Zhang, Wei Fan, Hui He, Pengyang Wang, Shoujin Wang, Ning An, Defu Lian, Longbing Cao, Zhendong Niu. Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. In proceedings of The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023, CORE A*) .
  7. Longxiang Shi, Zilin Zhang, Shoujin Wang, Qi Zhang, Minghui Wu, Cheng Yang, and Shijian Li. Session-based Interactive Recommendation via Deep Reinforcement Learning. In proceedings of the 23rd IEEE International Conference on Data Mining (ICDM 2023, CORE A*).
  8. Zhuo Cai, Guan Yuan, Xiaobao Zhuang, Shoujin Wang, et al. All You See is the Tip of the Iceberg: Distilling Latent Interactions can Help You Find Treasures. In proceedings of the 30th International Conference on Neural Information Processing (ICONIP 2023, CORE A).
  9. Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, et al. Attention Calibration for Transformer-based Sequential Recommendation. In proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, CORE A, CCF B).
  10. Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang and Sunghun Kim. Equivariant Contrastive Learning for Sequential Recommendation. In proceedings of the 17th ACM Conference on Recommender Systems (ACM RecSys 2023, CORE A, CCF B).
  11. Pengyu Zhao, Shoujin Wang^, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng and Yonggang Huang. News Recommendation via Jointly Modeling Event Matching and Style Matching. In proceedings of the 2023 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023, CORE A, CCF B).
  12. Chengkai Huang, Shoujin Wang, Xianzhi Wang and Lina Yao. Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. In proceeding of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023, CORE A*, CCF A).
  13. Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu and Minghao Yin. A Counterfactual Collaborative Session-based Recommender System. In proceeding of the 2023 ACM Web Conference (TheWebConf 2023, CORE A*, CCF A).
  14. Chengkai Huang, Shoujin Wang, Xianzhi Wang and Lina Yao. Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. In proceeding of the 2023 ACM Web Conference (TheWebConf 2023, CORE A*, CCF A).
  15. Rongyao Wang, Shoujin Wang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng, and Xinxiao Qiao. Intention-aware User Modeling for Personalized News Recommendation. In proceeding of the 2023 International Conference on Database Systems for Advanced Applications (DASFAA 2023, CCF B).
  16. Longxiang Shi, Zilin Zhang, Shoujin Wang, Binbin Zhou, Minghui Wu, Cheng Yang and Shijian Li. Efficient Interactive Recommendation with Huffman Tree-based Policy Learning. In proceeding of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023, CORE A*, CCF B).
  17. Yuwen Liu, Jie Zhang, Ruihan Dou, Xiaokang Zhou, Xiaolong Xu, Shoujin Wang, Lianyong Qi. Vehicle Check-In Data-Driven POI Recommendation Based on Improved SVD and Graph Convolutional Network. In proceedings of the 2022 IEEE Autonomous and Trusted Vehicles Conference (IEEE ATC-2022).
  18. Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song. Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. In Proceedings of the 2022 ACM Web Conference (TheWebConf 2022, CORE A*, CCF A).
  19. Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher. Data Science and Artificial Intelligence for Responsible Recommendations. In proceeding of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022, CORE A*, CCF A, workshop summary).
  20. Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal. Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. In proceeding of the 45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022, CORE A*, CCF A).
  21. Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, etc. A Systematical Evaluation for Next-Basket Recommendation Algorithms. In Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2022, CORE A, CCF C, Best Student Paper in the Session).
  22. Guobiao Zhang, Wenpeng Lu, Xueping Peng, Shoujin Wang, Baoshuo Kan, Rui Yu: Word Sense Disambiguation with Knowledge-Enhanced and Local Self-Attention-based Extractive Sense Comprehension. In Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022, CORE A, CCF B).
  23. Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang. An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. In Proceedings of the 2022 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022, CORE A, CCF B).
  24. Youhui Zuo, Xueping Peng, Wenpeng Lu, Shoujin Wang, Zhao Li, Weiyu Zhang and Yi Zhai. Chinese Sentence Matching with Multiple Alignments and Feature Augmentation. In Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN 2022).
  25. Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora Liu. A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022, CORE A*, CCF A, acceptance rate = 15%).
  26. Guohao Sun, Xiaolin Wang, Xiu Fang, Jian Yang, Shoujin Wang*. Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation. In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022, CORE A*, CCF A, acceptance rate = 15%).
  27. Rongyao Wang, Shoujin Wang, Wenpeng Lu, Xueping Peng. News Recommendation via Multi-Interests News Sequence Modelling. In Proceedings of the 47th International Conference on Acoustics, Speech, Signal Processing (ICASSP 2022, CCF B).
  28. Qian Zhang, Shoujin Wang, Wenpeng Lu, Zhufeng Shao. Rethinking Adjacency Dependencies in Session-based Recommendations. In Proceedings of the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2022, CORE A, CCF C, acceptance rate = 19.3%).
  29. Wei Guo, Shoujin Wang, Wenpeng Lu. Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations. In Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2021, CORE A, CCF C).
  30. Wenzhuo Song, Shoujin Wang*, Yan Wang, Shengsheng Wang. Next-item Recommendations in Short Sessions. In Proceedings of the 15th ACM Conference on Recommender Systems (RecSys 2021, CORE A, acceptance rate = 18.4%), 282-291, 2021.
  31. Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu. Graph Learning based Recommender Systems: A Review. In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021 Survey Track, CORE A*, CCF A, acceptance rate = 31.9%), 4644-4652, 2021. Preprint version.
  32. Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng and Mehmet Orgun. Modelling Local and Global Dependencies for Next-item Recommendations. In Proceedings of the 21st International Conference on Web Information Systems Engineering (WISE 2020, CORE A, CCF C), 285-300, 20-24 Oct 2020, Amsterdam and Leiden, Netherlands.
  33. Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu and Weizhe Zhang. Double-Wing Mixture of Experts for Streaming Recommendations. In Proceedings of the 21st International Conference on Web Information Systems Engineering (WISE 2020, CORE A, CCF C), 269-284, 20-24 Oct 2020, Amsterdam and Leiden, Netherlands.
  34. Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet Orgun, Longbing Cao. Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020, CORE A*, CCF A, acceptance rate = 12.6%), 2333-2339, 2020.
  35. Xu Zhang, Wenpeng Lu, GuoqiangZhang, Fangfang Li, and ShoujinWang. Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model. In Proceedings of the 24th Pacific-Asia Conference On Knowledge Discovery and Data Mining (PAKDD 2020, CORE A, CCF C, acceptance rate = 21%), 2020.
  36. Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet Orgun, Longbing Cao. Intention Nets: Psychology-inspired User Choice Behaviour Modelling for Next-basket Prediction. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020, CORE A*, CCF A, oral presentation, acceptance rate = 20.6%), 6259-6266, 2020.
  37. Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet Orgun. Sequential Recommender Systems: Challenges, Progress and Prospects. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019, CORE A*, CCF A, acceptance rate = 17.6%), 6332-6338, 2019.
  38. Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet Orgun, Longbing Cao. Modeling Multi-purpose Sessions for Next-item Recommendations via Mixture-channel Purpose Routing Networks .In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019, CORE A*, CCF A, acceptance rate = 17.9%), 3771-3777, 2019.
  39. Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu. Attention-based Transactional Context Embedding for Next-Item Recommendation. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018, CORE A*, CCF A, acceptance rate = 25%), 2532-2539, 2018.
  40. Shoujin Wang, Liang Hu, Longbing Cao. Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation. In Proceedings of the 15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017, CORE A, CCF B, acceptance rate = 27%), 285-302, 2017.
  41. Liang Hu, Longbing Cao, Shoujin Wang, et al. Diversifying Personalized Recommendation with User- Session Context. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017, CORE A*, CCF A, acceptance rate = 26%), 1858-1864, 2017.
  42. Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul Kennedy. Training Deep Neural Networks on Imbalanced Data Sets. In Proceedings of the 29th International Joint Conference on Neural Networks (IJCNN 2016, CORE A, CCF C), 4368 - 4374, 2016.

  • Journal Articles: 5 CORE A*, 8 CORE A, 24 JCR Q1
  1. Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci. Trustworthy Recommender Systems. ACM Transactions on Intelligent Systems and Technology (TIST, IF=5.44, JCR Q1), 2023. arXiv.
  2. Shoujin Wang, Yan Wang, Fikret Sivrikaya, Sahin Albayrak, Vito Walter Anelli. Data Science for Next-generation Recommender Systems. International Journal of Data Science and Analytics (JDSA), DOI: https://doi.org/10.1007/s41060-023-00404-w, 2023.
  3. Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao. Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective. IEEE Transactions on Knowledge and Data Engineering (TKDE, IF=8.9, JCR Q1, CORE A*, CCF A), 2023.
  4. Yucheng Liu, Yonggang Huang, Shoujin Wang, Wenpeng Lu, Huiyan Wu. Modality Coupling For Privacy Image Classification. IEEE Transactions on Information Forensics and Security (TIFS, IF = 6.8, JCR Q1, CORE A, CCF A), 2023.
  5. Simeng Bai, Qi Zhang, Hui He, Liang Hu, Shoujin Wang, Zhendong Niu. Cluster-aware Attentive Convolutional Recurrent Network for Multivariate Time-series Forecasting. Neurocomputing (IF =5.8, JCR Q1), 2023.
  6. Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem. Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees. IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF=14.25, JCR Q1, CORE A*, CCF B), 2023.
  7. Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet Orgun, Longbing Cao, and Defu Lian. Modeling User Demand Evolution for Next-Basket Prediction. IEEE Transactions on Knowledge Discovery and Engineering (TKDE, IF=9.23, JCR Q1, CCF A, CORE A*), 2022.
  8. Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu. MbSRS: a Multi-behavior Streaming Recommender System. Information Sciences (INS, IF=8.23, JCR Q1, CORE A), 2023.
  9. Youhui Zuo, Wenpeng Lu, Xueping Peng, Shoujin Wang, Weiyu Zhang, Xinxiao Qiao. DuCL: Dual-stage contrastive learning framework for Chinese semantic textual matching. Computers and Electrical Engineering. Volume 106, March 2023 (IF =4.12, JCR Q1, CORE B), 2022.
  10. Wenpeng Lu, Pengyu Zhao, Yifeng Li, Shoujin Wang, etc. Chinese Sentence Semantic Matching Based on Multi-level Relevance Extraction and Aggregation for Intelligent Human-robot Interaction. Applied Soft Computing (IF = 8.26, JCR Q1), 2022.
  11. Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quanzheng Sheng, Shoujin Wang, Xiaoshui Huang, Zhemei Yu, Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation. IEEE Transactions on Cybernetics (TCYB, IF = 19.12, CCF B, JCR Q1).
  12. Wenpeng Lu, Rongyao Wang, Shoujin Wang, Xueping Peng, Hao Wu, and Qian Zhang, Aspect-driven User Preference and News Representation Learning for News Recommendation. IEEE Transactions on Intelligent Transportation Systems (T-ITS, IF = 6.49, CCF B, JCR Q1).
  13. Pengyu Zhao, Wenpeng Lu, Shoujin Wang, Xueping Peng, Ping Jian, Hao Wu, Weiyu Zhang. Multi‑granularity Interaction Model based on Pinyins and Radicals for Chinese Semantic Matching. World Wide Web Journal, DOI: 10.1007/s11280-022-01037-y. (WWWJ, CORE A, CCF B).
  14. Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet Orgun. Exploiting Intra- and Inter-session Dependencies for Session-based Recommendations. World Wide Web Journal, 25: 425-443, 2022. (WWWJ, CORE A, CCF B).
  15. Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet Orgun, Defu Lian. A Survey on Session-based Recommender Systems. ACM Computing Surveys, 54(7): 1-38. (CSUR, IF = 10.28, CORE A*, JCR Q1). Preprint version.
  16. Wenpeng Lu, Rui Yu, Huimin Lu, Shoujin Wang, Fangfang Li, Xu Zhang, Jiguo Yu. Sentence Pair Modeling Based on Semantic Feature Map for Human Interaction with IoT Devices. International Journal of Machine Learning and Cybernetics, 12(11): 3081-3099, 2021. (JMLC, JCR Q1, IF = 4.02).
  17. Wenpeng Lu, Rui Yu, Shoujin Wang, et al. Sentence Semantic Matching based on 3D CNN for Human-robot Language Interaction. ACM Transactions on Internet Technology, 21(4): 1-24, 2021. (TOIT, JCR Q1, CORE B, CCF B).
  18. Shoujin Wang, Gabriella Pasi, Liang Hu, Longbing Cao. The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning. IEEE Intelligent Systems, 35(5): 3-6, 2020. (IF = 4.46, CORE A, JCR Q1).
  19. Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu. Hierarchical Attentive Transaction Embedding with Intra-and Inter-Transaction Dependencies for Next-Item Recommendation. IEEE Intelligent Systems, 36(4): 56-64, 2021. (IF = 4.46, CORE A, JCR Q1).
  20. Shoujin Wang and Longbing Cao. Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(3): 935-946, 2020. (IEEE TSMC, IF = 13.45, JCR Q1).
  21. Wenpeng Lu, Yuteng Zhang, Shoujin Wang, Heyan Huang, Qian Liu and Sheng Luo. Concept Representation by Learning Explicit and Implicit Concept Couplings. IEEE Intelligent Systems, 36(1): 6-15, 2021. (IF = 4.46, CORE A, JCR Q1).
  22. Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu. Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations. Applied Intelligence, 51(6): 3121-3141, 2021. (IF = 3.325, CORE B, JCR Q2).
  23. Qianmu Li, Shunmei Meng, Xiaonan Sang, Hanrui Zhang, Shoujin Wang, Ali Kashif Bashir, Keping Yu, Usman Tariq. Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing. ACM Transactions on Internet Technology, 21(3): 1-33, 2021. (TOIT, CORE B, CCF B, JCR Q1).
  24. Lin Xiao, Yongsheng Zhang, Jianhua Dai, Qiuyue Zuo and Shoujin Wang. Comprehensive Analysis of A New Varying Parameter Zeroing Neural Network for Time Varying Matrix Inversion. IEEE Transactions on Industrial Informatics, 17(3): 1604-1613, 2020. (IEEE TII, IF = 10.215, JCR Q1).
  25. Xiaolong Xu, Xihua Liu, Xiaochun Yin, Shoujin Wang, Quan Qi, Lianyong Qi*. Privacy-Aware Offloading for Training Tasks of Generative Adversarial Network in Edge Computing. Information Sciences, 532: 1-15, 2020. (CORE A, CCF B, IF = 5.52, JCR Q1).
  26. Wenmin Lin, Xiaochun Yin, Shoujin Wang, Mohammad R. Khosravi. A Blockchain-enabled Decentralized Settlement Model for IoT Data Exchange Services. Wireless Networks, 2020: 1-15, 2020. (CORE B, IF = 2.4).
  27. Ruoyu Zhang, Wenpeng Lu, Shoujin Wang, Xueping Peng, Rui Yu, Yuan Gao. Chinese Clinical Named Entity Recognition based on Stacked Neural Network. Concurrency and Computation: Practice and Experience, 33(22): e5775, 2020.
  28. Lin Xiao, Jianhua Dai, Rongbo Lu, Shuai Li, Jichun Li, Shoujin Wang. Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization. IEEE Transactions on Neural Networks and Learning Systems, 31(12): 5339-5348, 2020. (TNNLS, IF = 11.68, CORE A*, CCF B, JCR Q1).
  29. Qingfang Liu, Baosheng Kang, Keping Yu, Xin Qi, Jing Li, Shoujin Wang, Hong-An Li. Contour-Maintaining-Based Image Adaption for an Efficient Ambulance Service in Intelligent Transportation Systems. IEEE Access, 8: 12644-12654, 2020. (IF = 4.10, JCR Q1).
  30. Wenpeng Lu, Fanqing Meng, Shoujin Wang, Guoqiang Zhang, Xu Zhang, Antai Ouyang. Graph-Based Chinese Word Sense Disambiguation with Multi-Knowledge Integration. CMC-Computers Materials Continua, 61(1): 197-212, 2019. (IF = 3.77, JCR Q1).

  • Conference Tutorials:
  1. Liang Hu, Shoujin Wang, Qi Zhang and Usman Naseem. Lifelong Learning Cross-domain Recommender Systems. WWW 2023 (link).
  2. Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, and Charu Aggarwal. Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities, SIGIR 2022 (Link).
  3. Liang Hu, Shoujin Wang, Qi Zhang, Longbing Cao. Complement, Composite and Context: The 3C-Law to Build Multidomain Recommender Systems, ICDM 2021 (Link).
  4. Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, and Mehmet A. Orgun. Towards Ubiquitous Recommender Systems: Data, Approaches, and Applications, AAAI 2021 (Link).
  5. Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, and Mehmet A. Orgun. Next-Generation Recommender Systems and Their Advanced Applications, IJCAI-PRICAI 2020 (Link).
  6. Liang Hu, Shoujin Wang, Longbing Cao and Jian Cao. Coupling Everything: A Universal Guideline for Building State-of-The-Art Recommender Systems, IJCAI 2019 (Link).

  • Thesis:

    Shoujin Wang. Learning Complex Relations for Session-based Recommendations, PhD thesis, UTS, 2019 (Download).