ACM SIGKDD Explorations Newsletter / Sep 01, 2017

Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017). Fake News Detection on Social Media. ACM SIGKDD Explorations Newsletter, 19(1), 22–36. https://doi.org/10.1145/3137597.3137600

ACM Computing Surveys / Dec 06, 2017

Li, J., Cheng, K., Wang, S., Morstatter, F., Trevino, R. P., Tang, J., & Liu, H. (2017). Feature Selection. ACM Computing Surveys, 50(6), 1–45. https://doi.org/10.1145/3136625

Big Data / Jun 01, 2020

Shu, K., Mahudeswaran, D., Wang, S., Lee, D., & Liu, H. (2020). FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media. Big Data, 8(3), 171–188. https://doi.org/10.1089/big.2020.0062

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining / Jan 30, 2019

Shu, K., Wang, S., & Liu, H. (2019). Beyond News Contents. Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/3289600.3290994

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining / Jul 25, 2019

Shu, K., Cui, L., Wang, S., Lee, D., & Liu, H. (2019). dEFEND. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. https://doi.org/10.1145/3292500.3330935

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) / Apr 01, 2018

Shu, K., Wang, S., & Liu, H. (2018). Understanding User Profiles on Social Media for Fake News Detection. 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). https://doi.org/10.1109/mipr.2018.00092

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining / Aug 20, 2020

Jin, W., Ma, Y., Liu, X., Tang, X., Wang, S., & Tang, J. (2020). Graph Structure Learning for Robust Graph Neural Networks. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. https://doi.org/10.1145/3394486.3403049

Proceedings of the AAAI Conference on Artificial Intelligence / Jul 17, 2019

Yang, S., Shu, K., Wang, S., Gu, R., Wu, F., & Liu, H. (2019). Unsupervised Fake News Detection on Social Media: A Generative Approach. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 5644–5651. https://doi.org/10.1609/aaai.v33i01.33015644

Proceedings of the 26th International Conference on World Wide Web / Apr 03, 2017

Wang, S., Wang, Y., Tang, J., Shu, K., Ranganath, S., & Liu, H. (2017). What Your Images Reveal. Proceedings of the 26th International Conference on World Wide Web. https://doi.org/10.1145/3038912.3052638

Proceedings of the 2017 SIAM International Conference on Data Mining / Jun 09, 2017

Wang, S., Tang, J., Aggarwal, C., Chang, Y., & Liu, H. (2017). Signed Network Embedding in Social Media. Proceedings of the 2017 SIAM International Conference on Data Mining, 327–335. https://doi.org/10.1137/1.9781611974973.37

ACM SIGKDD Explorations Newsletter / Mar 22, 2017

Shu, K., Wang, S., Tang, J., Zafarani, R., & Liu, H. (2017). User Identity Linkage across Online Social Networks. ACM SIGKDD Explorations Newsletter, 18(2), 5–17. https://doi.org/10.1145/3068777.3068781

Proceedings of the AAAI Conference on Artificial Intelligence / Feb 10, 2015

Wang, S., Tang, J., & Liu, H. (2015). Embedded Unsupervised Feature Selection. Proceedings of the AAAI Conference on Artificial Intelligence, 29(1). https://doi.org/10.1609/aaai.v29i1.9211

Physics Today / Jan 01, 2014

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Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining / Aug 27, 2019

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2015 IEEE International Conference on Data Mining Workshop (ICDMW) / Nov 01, 2015

Wang, Y., & Li, B. (2015). Sentiment Analysis for Social Media Images. 2015 IEEE International Conference on Data Mining Workshop (ICDMW). https://doi.org/10.1109/icdmw.2015.142

Cognitive Computation / Aug 17, 2017

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Proceedings of the International AAAI Conference on Web and Social Media / May 26, 2020

Shu, K., Mahudeswaran, D., Wang, S., & Liu, H. (2020). Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. Proceedings of the International AAAI Conference on Web and Social Media, 14, 626–637. https://doi.org/10.1609/icwsm.v14i1.7329

Proceedings of The Web Conference 2020 / Apr 20, 2020

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Information Sciences / Jun 01, 2018

Li, Y., Pan, Q., Wang, S., Yang, T., & Cambria, E. (2018). A Generative Model for category text generation. Information Sciences, 450, 301–315. https://doi.org/10.1016/j.ins.2018.03.050

Proceedings of the 14th ACM International Conference on Web Search and Data Mining / Mar 08, 2021

Zhao, T., Zhang, X., & Wang, S. (2021). GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. Proceedings of the 14th ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/3437963.3441720

IACAPAP ArXiv / Jan 01, 2020

Falissard, B. (2020). About the social role of child and adolescent psychiatrists in times of epidemic. IACAPAP ArXiv. https://doi.org/10.14744/iacapaparxiv.2020.20004

Proceedings of the 13th International Conference on Web Search and Data Mining / Jan 20, 2020

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Proceedings of the 14th ACM International Conference on Web Search and Data Mining / Mar 08, 2021

Dai, E., & Wang, S. (2021). Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information. Proceedings of the 14th ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/3437963.3441752

Neurocomputing / Feb 01, 2015

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Proceedings of the 25th ACM International on Conference on Information and Knowledge Management / Oct 24, 2016

Wang, S., Tang, J., Aggarwal, C., & Liu, H. (2016). Linked Document Embedding for Classification. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. https://doi.org/10.1145/2983323.2983755

Proceedings of the AAAI Conference on Artificial Intelligence / Feb 21, 2016

Tang, J., Wang, S., Hu, X., Yin, D., Bi, Y., Chang, Y., & Liu, H. (2016). Recommendation with Social Dimensions. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9976

Proceedings of the AAAI Conference on Artificial Intelligence / Apr 03, 2020

Yao, H., Zhang, C., Wei, Y., Jiang, M., Wang, S., Huang, J., Chawla, N., & Li, Z. (2020). Graph Few-Shot Learning via Knowledge Transfer. Proceedings of the AAAI Conference on Artificial Intelligence, 34(04), 6656–6663. https://doi.org/10.1609/aaai.v34i04.6142

Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining / Aug 27, 2019

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Proceedings of the 2017 ACM on Conference on Information and Knowledge Management / Nov 06, 2017

Wang, S., Aggarwal, C., Tang, J., & Liu, H. (2017). Attributed Signed Network Embedding. Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. https://doi.org/10.1145/3132847.3132905

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining / Aug 20, 2020

Cui, L., Seo, H., Tabar, M., Ma, F., Wang, S., & Lee, D. (2020). DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. https://doi.org/10.1145/3394486.3403092

Proceedings of the AAAI Conference on Artificial Intelligence / Apr 03, 2020

Tang, X., Yao, H., Sun, Y., Aggarwal, C., Mitra, P., & Wang, S. (2020). Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values. Proceedings of the AAAI Conference on Artificial Intelligence, 34(04), 5956–5963. https://doi.org/10.1609/aaai.v34i04.6056

Nature / Jun 29, 2016

Van Noorden, R. (2016). ArXiv preprint server plans multimillion-dollar overhaul. Nature, 534(7609), 602–602. https://doi.org/10.1038/534602a

Lecture Notes in Social Networks / Jan 01, 2020

Shu, K., Wang, S., Lee, D., & Liu, H. (2020). Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements. Disinformation, Misinformation, and Fake News in Social Media, 1–19. https://doi.org/10.1007/978-3-030-42699-6_1

Proceedings of the International AAAI Conference on Web and Social Media / May 26, 2020

Dai, E., Sun, Y., & Wang, S. (2020). Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository. Proceedings of the International AAAI Conference on Web and Social Media, 14, 853–862. https://doi.org/10.1609/icwsm.v14i1.7350

Knowledge-Based Systems / May 01, 2019

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Proceedings of the AAAI Conference on Artificial Intelligence / Apr 29, 2018

Meng, X., Wang, S., Shu, K., Li, J., Chen, B., Liu, H., & Zhang, Y. (2018). Personalized Privacy-Preserving Social Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). https://doi.org/10.1609/aaai.v32i1.11714

Proceedings of the 24th ACM International on Conference on Information and Knowledge Management / Oct 17, 2015

Wang, S., Tang, J., & Liu, H. (2015). Toward Dual Roles of Users in Recommender Systems. Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. https://doi.org/10.1145/2806416.2806520

Information Sciences / May 01, 2019

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Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining / Aug 14, 2021

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IEEE Transactions on Knowledge and Data Engineering / Jun 01, 2018

Wang, S., Tang, J., Wang, Y., & Liu, H. (2018). Exploring Hierarchical Structures for Recommender Systems. IEEE Transactions on Knowledge and Data Engineering, 30(6), 1022–1035. https://doi.org/10.1109/tkde.2018.2789443

2018 IEEE International Conference on Data Mining (ICDM) / Nov 01, 2018

Shu, K., Wang, S., Le, T., Lee, D., & Liu, H. (2018). Deep Headline Generation for Clickbait Detection. 2018 IEEE International Conference on Data Mining (ICDM). https://doi.org/10.1109/icdm.2018.00062

Proceedings of the 2016 SIAM International Conference on Data Mining / Jun 30, 2016

Beigi, G., Tang, J., Wang, S., & Liu, H. (2016). Exploiting Emotional Information for Trust/Distrust Prediction. Proceedings of the 2016 SIAM International Conference on Data Mining. https://doi.org/10.1137/1.9781611974348.10

2020 IEEE International Conference on Data Mining (ICDM) / Nov 01, 2020

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Neural Networks / May 01, 2015

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Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence / Aug 01, 2019

Sun, Y., Wang, S., Hsieh, T.-Y., Tang, X., & Honavar, V. (2019). MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/489

Proceedings of the 2017 SIAM International Conference on Data Mining / Jun 09, 2017

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Encyclopedia of Machine Learning and Data Mining / Jan 01, 2016

Wang, S., Tang, J., & Liu, H. (2016). Feature Selection. Encyclopedia of Machine Learning and Data Mining, 1–9. https://doi.org/10.1007/978-1-4899-7502-7_101-1

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining / Aug 20, 2020

Le, T., Wang, S., & Lee, D. (2020). GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. https://doi.org/10.1145/3394486.3403066

Proceedings of the 14th ACM International Conference on Web Search and Data Mining / Mar 08, 2021

Hsieh, T.-Y., Wang, S., Sun, Y., & Honavar, V. (2021). Explainable Multivariate Time Series Classification. Proceedings of the 14th ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/3437963.3441815

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining / Feb 02, 2018

Shu, K., Wang, S., Tang, J., Wang, Y., & Liu, H. (2018). CrossFire. Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/3159652.3159692

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) / Jun 01, 2016

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Proceedings of the 28th ACM International Conference on Information and Knowledge Management / Nov 03, 2019

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Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining / Aug 14, 2021

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Proceedings of the AAAI Conference on Artificial Intelligence / Feb 10, 2017

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Proceedings of the 28th ACM International Conference on Information and Knowledge Management / Nov 03, 2019

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Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining / Aug 20, 2020

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2018 IEEE International Conference on Data Mining (ICDM) / Nov 01, 2018

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Big Data Analytics in Chemoinformatics and Bioinformatics / Jan 01, 2023

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Proceedings of the 30th ACM International Conference on Information & Knowledge Management / Oct 26, 2021

Dai, E., & Wang, S. (2021). Towards Self-Explainable Graph Neural Network. Proceedings of the 30th ACM International Conference on Information & Knowledge Management. https://doi.org/10.1145/3459637.3482306

Proceedings of the 30th ACM Conference on Hypertext and Social Media / Sep 12, 2019

Beigi, G., Shu, K., Guo, R., Wang, S., & Liu, H. (2019). Privacy Preserving Text Representation Learning. Proceedings of the 30th ACM Conference on Hypertext and Social Media. https://doi.org/10.1145/3342220.3344925

World Wide Web / Jul 14, 2018

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ACM Transactions on Intelligent Systems and Technology / Oct 29, 2018

Wang, S., Aggarwal, C., & Liu, H. (2018). Random-Forest-Inspired Neural Networks. ACM Transactions on Intelligent Systems and Technology, 9(6), 1–25. https://doi.org/10.1145/3232230

Proceedings of the 25th ACM International on Conference on Information and Knowledge Management / Oct 24, 2016

Wang, S., Tang, J., Morstatter, F., & Liu, H. (2016). Paired Restricted Boltzmann Machine for Linked Data. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. https://doi.org/10.1145/2983323.2983756

Proceedings of the 13th International Conference on Web Search and Data Mining / Jan 20, 2020

Luo, D., Ni, J., Wang, S., Bian, Y., Yu, X., & Zhang, X. (2020). Deep Multi-Graph Clustering via Attentive Cross-Graph Association. Proceedings of the 13th International Conference on Web Search and Data Mining. https://doi.org/10.1145/3336191.3371806

Proceedings of the AAAI Conference on Artificial Intelligence / Apr 29, 2018

Meng, X., Wang, S., Liu, H., & Zhang, Y. (2018). Exploiting Emotion on Reviews for Recommender Systems. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). https://doi.org/10.1609/aaai.v32i1.11685

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining / Jan 30, 2019

Rakesh, V., Wang, S., Shu, K., & Liu, H. (2019). Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/3289600.3290963

IEEE Transactions on Knowledge and Data Engineering / Oct 01, 2017

Ranganath, S., Wang, S., Hu, X., Tang, J., & Liu, H. (2017). Facilitating Time Critical Information Seeking in Social Media. IEEE Transactions on Knowledge and Data Engineering, 29(10), 2197–2209. https://doi.org/10.1109/tkde.2017.2701375

Proceedings of the AAAI Conference on Artificial Intelligence / Feb 21, 2016

Ranganath, S., Morstatter, F., Hu, X., Tang, J., Wang, S., & Liu, H. (2016). Predicting Online Protest Participation of Social Media Users. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9988

Applied Energy / Feb 01, 2022

Hu, Y., Cheng, X., Wang, S., Chen, J., Zhao, T., & Dai, E. (2022). Times series forecasting for urban building energy consumption based on graph convolutional network. Applied Energy, 307, 118231. https://doi.org/10.1016/j.apenergy.2021.118231

Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining / Feb 11, 2022

Dai, E., Jin, W., Liu, H., & Wang, S. (2022). Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/3488560.3498408

Proceedings of the 29th ACM International Conference on Information & Knowledge Management / Oct 19, 2020

Zhao, T., Tang, X., Zhang, X., & Wang, S. (2020). Semi-Supervised Graph-to-Graph Translation. Proceedings of the 29th ACM International Conference on Information & Knowledge Management. https://doi.org/10.1145/3340531.3411977

Proceedings of the International AAAI Conference on Web and Social Media / Aug 04, 2021

Ranganath, S., Hu, X., Tang, J., Wang, S., & Liu, H. (2021). Identifying Rhetorical Questions in Social Media. Proceedings of the International AAAI Conference on Web and Social Media, 10(1), 667–670. https://doi.org/10.1609/icwsm.v10i1.14771

Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining / Feb 11, 2022

Zhao, T., Dai, E., Shu, K., & Wang, S. (2022). Towards Fair Classifiers Without Sensitive Attributes. Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/3488560.3498493

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) / Aug 01, 2018

Derr, T., Wang, Z., & Tang, J. (2018). Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks. 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). https://doi.org/10.1109/asonam.2018.8508263

Neurocomputing / Oct 01, 2020

Li, Y., Wang, S., Ma, Y., Pan, Q., & Cambria, E. (2020). Popularity prediction on vacation rental websites. Neurocomputing, 412, 372–380. https://doi.org/10.1016/j.neucom.2020.05.092

ACM Transactions on Intelligent Systems and Technology / Jan 10, 2018

Ranganath, S., Hu, X., Tang, J., Wang, S., & Liu, H. (2018). Understanding and Identifying Rhetorical Questions in Social Media. ACM Transactions on Intelligent Systems and Technology, 9(2), 1–22. https://doi.org/10.1145/3108364

2021 IEEE 37th International Conference on Data Engineering (ICDE) / Apr 01, 2021

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Proceedings of the ACM Web Conference 2022 / Apr 25, 2022

Zhao, T., Zhang, X., & Wang, S. (2022). Exploring Edge Disentanglement for Node Classification. Proceedings of the ACM Web Conference 2022. https://doi.org/10.1145/3485447.3511929

Information Sciences / Sep 01, 2021

Meng, X., Wang, S., Liang, Z., Yao, D., Zhou, J., & Zhang, Y. (2021). Semi-supervised anomaly detection in dynamic communication networks. Information Sciences, 571, 527–542. https://doi.org/10.1016/j.ins.2021.04.056

Proceedings of the 2017 SIAM International Conference on Data Mining / Jun 09, 2017

Wang, S., Wang, Y., Tang, J., Aggarwal, C., Ranganath, S., & Liu, H. (2017). Exploiting Hierarchical Structures for Unsupervised Feature Selection. Proceedings of the 2017 SIAM International Conference on Data Mining, 507–515. https://doi.org/10.1137/1.9781611974973.57

2018 IEEE Winter Conference on Applications of Computer Vision (WACV) / Mar 01, 2018

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Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining / Feb 11, 2022

Xiao, T., & Wang, S. (2022). Towards Unbiased and Robust Causal Ranking for Recommender Systems. Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/3488560.3498521

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining / Aug 04, 2017

Wang, S., Aggarwal, C., & Liu, H. (2017). Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. https://doi.org/10.1145/3097983.3098001

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence / Aug 01, 2017

Li, J., Tang, J., & Liu, H. (2017). Reconstruction-based Unsupervised Feature Selection: An Embedded Approach. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2017/300

Proceedings of the 2017 SIAM International Conference on Data Mining / Jun 09, 2017

Li, Y., Wang, S., Yang, T., Pan, Q., & Tang, J. (2017). Price Recommendation on Vacation Rental Websites. Proceedings of the 2017 SIAM International Conference on Data Mining, 399–407. https://doi.org/10.1137/1.9781611974973.45

Information Processing & Management / Nov 01, 2022

Li, S., Xie, R., Zhu, Y., Zhuang, F., Tang, Z., Zhao, W. X., & He, Q. (2022). Self-Supervised learning for Conversational Recommendation. Information Processing & Management, 59(6), 103067. https://doi.org/10.1016/j.ipm.2022.103067

2022 IEEE International Conference on Data Mining (ICDM) / Nov 01, 2022

Xu, J., Dai, E., Zhang, X., & Wang, S. (2022). HP-GMN: Graph Memory Networks for Heterophilous Graphs. 2022 IEEE International Conference on Data Mining (ICDM). https://doi.org/10.1109/icdm54844.2022.00165

Proceedings of the 2020 SIAM International Conference on Data Mining / Jan 01, 2020

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Proceedings of the 29th ACM International Conference on Information & Knowledge Management / Oct 19, 2020

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Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining / Jul 25, 2019

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Proceedings of the 2019 SIAM International Conference on Data Mining / May 06, 2019

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