Honorary Lecturer, Macquarie University
Shoujin Wang is a Lecturer in Data Science at the Data Science Institute, University of Technology Sydney. He obtained his PhD in Data Science from the University of Technology Sydney in 2019. Shoujin's main research interests include Data Mining, Machine Learning, Recommender Systems and Fake News Mitigation. He has published more than 30 high-quality research papers in these areas, most of which were published at premier data science and AI conferences or journals, like The ACM Web Conference, AAAI, IJCAI and ACM Computing Surveys (CSUR). He has delivered four research tutorials on recommender systems at AAAI, IJCAI, SIGIR and ICDM.
Shoujin has generally served as a (senior) PC member at over 10 premier international conferences including KDD, AAAI, IJCAI and a reviewer for more than 10 prestigious journals including Machine Learning, IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Information Systems (TOIS), etc. Shoujin has been invited to serve as a guest editor of three primer journals including IEEE Intelligent Systems and has organized two workshops at ICDM. Shoujin has some practical data science application experience by being involved into two industry projects. He is also one of the two recipients of the prestigious 2022 Club Melbourne Fellowships.
In the Media:. "MCEC announces Annual Club Melbourne Fellowship" on Melbourne Convention and Exhibition Centre (MCEC) website, 2022.
. "New system uses AI to beat fake news" in The Lighthouse, MIRAGE news, The National Tribune, 2022.
. "AI could be key to preventing the spread of fake news" in LifeWire, viknews, 2022.
. "AI helps to prevent the spreading of fake news" in SBS Chinese Channel, SBS Radio, 2022.
. Interviewed by SBS Chinese Channel to talk about the daily life of researchers, SBS Chinese Channel and SBS Radio, 2022.
. "Quality research as a team in data science" in UTS Research Insider, 2018.
Call For Students and Collaborations:
- Shoujin is always seeking highly self-motivated students for PhD, Master by Research, or dual-doctorate degree candidates. He also warmly welcomes visiting students and visiting scholars in the areas of data science and AI.
- Shoujin is open to any kinds of collaborations on research, industry projects, data science applications, etc.
Call For Papers:
- Special issue "Recommender Systems and Their Advanced Application" with Applied Science (IF = 2.84, citescore = 3.7, JCR Q2). Submission deadline Feb 28, 2023.
- Special issue "Deep Learning for Recommender Systems" with Frontiers in Big Data.(open for submission now).
- Topical issue "Advanced Theories and Algorithms for Next-Generation Recommender Systems" with SN Computer Science. (open for submission now).
Selected Publications:. Shoujin Wang*, Longbing Cao, Yan Wang, et al. A survey on session-based recommender systems, ACM Computing Surveys (CSUR, IF = 10.28, JCR Q1, CORE A*), 2021. [PDF, CSUR version], 140+ citations.
. Shoujin Wang, Liang Hu, Yan Wang, et al. Graph learning based recommender systems: a review, IJCAI 2021 (CORE A*, CCF A). [PDF, IJCAI version].
. Shoujin Wang, Liang Hu, Yan Wang, et al. Sequential recommender systems: challenges, progress and prospects, IJCAI 2019 (CORE A*, CCF A). [PDF, IJCAI version]. 110+ citations.
. Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, et al. Veracity-aware and event-driven personalized news recommendation for fake news mitigation, WWW 2022 (CORE A*, CCF A).
. Wenzhuo Song, Shoujin Wang*, Yan Wang, et al. Next-item recommendations in short sessions, ACM RecSys 2021 (CORE A, acceptance rate = 17.9%), [PDF, RecSys version].
. Shoujin Wang, Liang Hu, Yan Wang, et al. Intention nets: psychology-inspired user choice behavior modeling for next-basket prediction, AAAI 2020 (CORE A*, CCF A, Oral Presentation (5% out of 8000+ submissions)), [PDF, AAAI version].
. Shoujin Wang, Liang Hu, Yan Wang, et al. Intention2Basket: a neural intention-driven approach for dynamic next-basket planning, IJCAI 2020 (CORE A*, CCF A, acceptance rate = 12.6%), [PDF, IJCAI version].
. Shoujin Wang, Longbing Cao. Inferring implicit rules by learning explicit and hidden item dependency, IEEE TSMC-Systems 2020 (IF = 13.45, JCR Q1), [PDF, TSMC version].
. Shoujin Wang, Liang Hu, Yan Wang, et al. Modeling multi-purpose sessions for next-item recommendations via mixture-channel purpose routing networks, IJCAI 2019 (CORE A*, CCF A, acceptance rate = 17.6%), [PDF, IJCAI version].
. Shoujin Wang, Liang Hu, Longbing Cao, et al. Attention-based transactional context embedding for next-item recommendation, AAAI 2018 (CORE A*, CCF A). [PDF, AAAI version], 130+ citations.
. Liang Hu, Longbing Cao, Shoujin Wang, et al. Diversifying personalized recommendation with user-session context, IJCAI 2017 (CORE A*, CCF A). [PDF, IJCAI version], 80+ citations.
. Shoujin Wang, Liang Hu, Longbing Cao. Perceiving the next choice with comprehensive transaction embeddings for online recommendation, ECML-PKDD 2017 (CORE A, CCF B), [PDF, ECML-PKDD version].
. Shoujin Wang, Wei Liu, Jia Wu, et al. Training deep neural networks on imbalanced data sets, IJCNN 2016 (CORE A), [PDF, IJCNN version], 340+ citations.
News![01/2023] One paper on interactive recommendation accepted by AAMAS 2023 (CORE A*).
[01/2023] Invited to be a PC member of ACL 2023.
[12/2022] One paper accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE, CORE A*, CCF A, IF = 9.23).
[12/2022] Our tutorial on lifelong recommendation has been accepted for presentation at WWW 2023.
[11/2022] Invited to deliver keynote speech at the 2022 International Symposium on Computing and Artificial Intelligence (ISCAI 2022) and 2022 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2022).
[11/2022] I am so honored to be awarded the highly competitive DAAD UNICORE Scholarship, which supports an academic visit to Germany for three months.
[11/2022] One paper accepted by applied soft computing (IF = 8.62, JCR Q1).
[10/2022] Our workshop proposal on interactive recommender systems has been accepted by WSDM2023!
[10/2022] Invited to serve as a SPC for WWW2023 and a PC for AAMAS2023.
[10/2022] One paper accepted by DSAA2022 and one paper accepted by COLING2022!
[10/2022] I am so honored to be awarded the Next-Generation Data Scientist Award from DSAA2022!
[08/2022] I am so excited to join the Data Science Institute, University of Technology Sydney as a Lecturer in Data Science.
[07/2022] I was appointed as the social media editor of International Journal of Data Science and Analytics - Springer.
[07/2022] One paper entitled "Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation" accepted by IEEE Transactions on Cybernetics (TCYB, IF = 19.12).
[07/2022] We presented a tutorial on "Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities" at SIGIR 2022 and achieved a big success. The tutorial slides are available on the tutorial website.
[06/2022] I accepted the offer from UTS and will join UTS as a Lecturer in Data Science in August, 2022.
[06/2022] I was awarded the prestigious Club Melbourne Fellowship 2022, being the second one to receive this award in RMIT during the past 7 years since the establishment of this fellowship in 2015 (only two fellowships are awarded in each year from all disciplines in VIC).
[06/2022] One paper entitled "An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters" accepted by ECML-PKDD 2022.
[04/2022] Our tutorial on sequential/session-based recommender systems has been accepted for presentation at SIGIR 2022!
[04/2022] Two papers accepted by IJCAI 2022 (acceptance rate = 15%), congratulations to Qi and Guohao.
[04/2022] One paper accepted by IEEE Transactions on Intelligent Transportation Systems (T-ITS, IF = 6.49, JCR Q1), congratulations to master student Rongyao!
[04/2022] One paper accepted by World Wide Web Journal (WWWJ), congratulations to master student Pengyu!
[03/2022] Invited to organize a special session at DSAA 2022 conference, a flagship conference in data science (CORE A/ CCF C).
[03/2022] I was invited to give a talk on my research at the School of Computing Technologies, RMIT University.
[03/2022] Our workshop proposal on responsible recommender systems has been accepted by KDD 2022, we will organize the workshop on "Data Science and Artificial Intelligence for Responsible Recommendations", welcome your submissions and attendance.
[03/2022] Invited to join the editorial board of JDSA, a flagship journal in data science published by Springer.
[02/2022] Invited to join the program committee (PC) of KDD 2022, AAAI 2022, IJCAI 2022, CIKM 2022, PAKDD 2022, ACM UMAP 2022.
[01/2022] One paper entitled "News Recommendation via Multi-Interests News Sequence Modelling" accepted by ICASSP 2022 (CCF B). Congratulations to master student Rongyao Wang!
[01/2022] One paper entitled "Rethinking Adjacency Dependencies in Session-based Recommendations" accepted by PAKDD 2022 (acceptance rate = 19.3%). Congratulations to master student Qian Zhang for his first submission!
[01/2022] One paper entitled "Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation" accepted by ACM The Web Conference (TheWebConf2022, Web4Good special track), Lyon, France, 25-29 April, 2022.
[10/2021] Invited to deliver a guest lecture "an introduction to recommender systems" for the unit "FIT5196: Data Wrangling" at Monash University by Dr. Shirui Pan.
[09/2021] One tutorial entitled "Complement, Composite and Context: The 3C-Law to Build Multidomain Recommender Systems" accepted for presentation at ICDM 2021.
[08/2021] I am honored to be awarded the DAAD AInet fellowship which will sponsor one-week academic visit to multiple Germany institutions.
[07/2021] One paper titled "Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations" accepted by IEEE DSAA 2021 (CORE Rank A).
[07/2021] One paper titled "Exploiting Intra- and Inter-session Dependencies for Session-based Recommendations" accepted by World Wide Web Journal.
[07/2021] One paper accepted titled "Next-item Recommendations in Short Sessions" accepted by RecSys 2021 (acceptance rate = 18.4%).
[05/2021] One long survey paper titled "A Survey on Session-based Recommender Systems " accepted by ACM Computing Surveys (ACM CSUR, IF = 10.28), preprint version.
[05/2021] One paper titled "Sentence Pair Modeling Based on Semantic Feature Map for Human Interaction with IoT Devices " accepted by International Journal of Machine Learning and Cybernetics (JMLC, Springer, IF = 3.75).
[04/2021] One survey paper titled "Graph Learning based Recommender Systems: A Review " accepted by IJCAI 2021 survey track [Preprint version], [2 mins Talk], [15 mins talk].
[04/2021] We will organize the second workshop on advanced neural algorithms and theories for recommender systems (ICDM NeuRec 2021) with ICDM 2021, welcome your submission!
[02/2021] One paper entitled "Sentence Semantic Matching based on 3D CNN for Human-robot Language Interaction" accepted by ACM Transactions on Internet Technology (TOIT).
[01/2021] Invited to be a PC member of ACMUMAP2021.
[09/2020] Our tutorial proposal entitled "Towards Ubiquitous Recommender Systems: Data, Approaches, and Applications" is accepted for presentation at AAAI-2021.
[08/2020] One paper entitled "Learning Complex Couplings and Interactions Concept Representation by Learning Explicit and Implicit Concept Couplings " accepted by IEEE Intelligent Systems.
[08/2020] Invited to be a PC member of AAAI 2021 and IJCAI 2021.
[07/2020] One paper entitled "Double-Wing Mixture of Experts for Streaming Recommendations" and one paper entitled "Modelling Local and Global Dependencies for Next-item Recommendations" accepted by WISE 2020.
[07/2020] One paper entitled "Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations" accepted by Applied Intelligence.
[06/2020] One paper entitled "Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing" accepted by ACM Transactions on Internet Technology (TOIT).
[05/2020] One paper entitled "Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation" accepted by IEEE Intelligent Systems .
[05/2020] Invited to be a PC member at CIKM 2020.
[05/2020] I am pleased to be invited to give a guest lecture on "Recommender Systems: Guess What You Want" at the master unit COMP3210/6210 (Big Data) at the department of computing, Macquarie University on 20 May.
[04/2020] One survey paper entitled "Graph Learning Approaches to Recommender Systems: A Review" is available online.
[04/2020] One paper entitled "Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning " has been accepted by IJCAI-PRICAI 2020 (acceptance rate = 12.6%), (CORE A*, CCF A).
[04/2020] One paper entitled "Comprehensive Analysis of a New Varying Parameter Zeroing Neural Network for Time Varying Matrix Inversion " has been accepted by IEEE Transactions on Industrial Informatics (TII, IF = 7.38).
[04/2020] I am pleased to deliver a guest lecture on "recommender systems" at a master course unit COMP8230 (Mining Unstructured Data) on 28 April.
[04/2020] One paper entitled " Privacy-Aware Offloading for Training Tasks of Generative Adversarial Network in Edge Computing" has been accepted by Information Sciences. Elsevier. (IF = 5.52).
[04/2020] One paper entitled "A Blockchain-enabled Decentralized Settlement Model for IoT Data Exchange Services " has been accepted by Wireless Networks. Springer (IF = 2.4).
[03/2020] Call for Papers: Co-organizing a workshop on Advanced Neural Algorithms and Theories for Recommender Systems (NeuRec) with ICDM 2020, welcome submissions.
[03/2020] One paper entitled "Chinese Clinical Named Entity Recognition based on Stacked Neural Network" has been accepted for publication by the Concurrency and Computation: Practice and Experience (IF = 1.17) .
[03/2020] One tutorial proposal entitled "Next-Generation Recommender Systems and Their Advanced Applications" has been accepted for presentation at IJCAI-2020. Look forward to seeing you in Yokohama, Japan in July.
[01/2020] I was invited to serve as PC member at AAAI2020, PAKDD2020, IJCAI2020, IEEE SCC 2020.
[01/2020] One paper titled "Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model" accepted by PAKDD-2020 (acceptance rate 21%, core rank A).
[01/2020] One paper titled "Design and Comprehensive Analysis of A Noise-Tolerant ZNN Model with Limited-Time Convergence for Time-Dependent Nonlinear Minimization " accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS, CORE Rank A*, IF = 11.68) .
[01/2020] One paper titled "Contour-Maintaining Based Image Adaption for an Efficient Ambulance Service in Intelligent Transportation Systems " accepted by IEEE Access ( IF = 4.1) .
[11/2019] One paper entitled "Intention Nets: Psychology-inspired User Choice Behavior Modeling for Next-basket Prediction" has been accepted for oral presentation (around 25% of the accepted papers will be chosen for oral presentation) by AAAI 2020 (acceptance rate = 20.6%), (CORE A*, CCF A)
[10/2019] I am pleased to deliver a guest lecture on an introduction on recommender systems at undergraduate course unit COMP344 (E-commerce technolog).
[09/2019] I am pleased to give an invited talk in Michael's team.
[08/2019] Call for papers: International Journal of Data Science and Analytics Special issue on Data Science for Next-Generation Recommender Systems
[07/2019] I was invited to serve as a session chair at IJCAI2019.
[06/2019] Call for papers: IEEE Intelligent Systems Special issue on Intelligent Recommendation with Advanced AI and Learning
[06/2019] I received the travel grant from IJCAI-2019 organization committee to support my travel to attend IJCAI-2019 at Macao, China.
[05/2019] I was invited to give a talk on "session-based recommender systems" at oOh media on 31 May, 2019. Very good feedback was received from the listeners.
[05/2019] I was invited to serve as a guest editor to organize a special issue "advanced intelligent recommender systems" on IEEE Intelligent Systems.
[05/2019] One survey paper on sequential recommendations " Sequential Recommender Systems: Challenges, Progress and Prospects " has been accepted as a full paper at IJCAI-2019 survey track (accept rate = 17.6%) !
[05/2019] One paper on next-item recommendation " Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks " has been accepted as a full paper at IJCAI-2019 (accept rate = 17.9%) !
[04/2019] Our tutorial proposal " Coupling Everything: A Universal Guideline for Building State-of-The-Art Recommender Systems " has been accepted for presentation at IJCAI-2019! Look forward to seeing you in Macao in August!
[02/2019] I was listed in the HDR supervisor database of Macquarie University and was appointed as an associate supervisor of two PhD students at Macquarie University.
[01/2019] We have finished a survey paper titled "A survey on session-based recommender systems", all feedback and comments are welcome!
[10/2018] I joined the department of computing, Macquarie University to work as a postdoctoral research fellow sponsored by a ARC discovery project. My supervisors are Prof. Yan Wang, Prof. Michael Sheng and Prof. Mehmet Orgun.