Spatial Reasoning and Policy Analysis, Center for (CSRPA)

Research output

Research output per year 2000 2018 2019 2020 2021 2022 2023

• 146 Article
• 121 Conference contribution
• 19 Editorial
• 16 Chapter
• 14 More
  • 8 Review article
  • 3 Paper
  • 2 Conference article
  • 1 Book

Research output per year

Research output per year

Search results

• 2023

  A Two-tier Shared Embedding Method for Review-based Recommender Systems

  Yang, Z., Liu, J., Li, T., Wu, D., Yang, S. & Liu, H., Oct 21 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2928-2938 11 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Recommender Systems 100%
  • Homophily 87%
  • Multiple Use 12%
  • Individual Preferences 10%
  • Resources 6%

• Contrastive Meta-Learning for Few-shot Node Classification

  Wang, S., Tan, Z., Liu, H. & Li, J., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2386-2397 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Labels 100%
  • Experiments 20%
  2 Scopus citations

• Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning

  Ding, K., Wang, Y., Yang, Y. & Liu, H., Jun 27 2023, AAAI-23 Technical Tracks 6. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI press, p. 7378-7386 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semantics 100%
  • Neural networks 88%
  • Learning algorithms 40%
  • Experiments 17%
  7 Scopus citations

• Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs

  Fu, D., Zhou, D., MacIejewski, R., Croitoru, A., Boyd, M. & He, J., Apr 30 2023, ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, Inc, p. 3755-3765 11 p. (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Clustering algorithms 100%
  • Topology 74%
  • Experiments 39%
  4 Scopus citations

• HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer

  Ding, K., Chen, T., Chi, E. H., Liang, A. J., Wang, R., Liu, H., Perrozi, B., Hong, L. & Cheng, D. Z., Jul 19 2023, SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 2062-2066 5 p. (SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Message passing 100%
  • Information retrieval 90%
  • Deep learning 83%
  • Experiments 33%
  2 Scopus citations

• Learning Strong Graph Neural Networks with Weak Information

  Liu, Y., Ding, K., Wang, J., Lee, V., Liu, H. & Pan, S., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1559-1571 13 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Neural networks 100%
  • Labels 35%
  • Semantics 28%
  • Experiments 14%
  11 Scopus citations

• Socially Responsible Machine Learning: A Causal Perspective

  Moraffah, R., Karimi, A. H., Raglin, A. & Liu, H., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 5819-5820 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Machine learning 100%
  • Learning algorithms 28%
  • Social sciences 21%
  • Taxonomies 17%
  • Lenses 17%

• STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction

  Sheth, P., Mosallanezhad, A., Ding, K., Shah, R., Sabo, J., Liu, H. & Candan, K. S., Oct 21 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 4815-4821 7 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Watershed 100%
  • Reinforcement Learning 93%
  • Prediction 60%
  • Water Quality 57%
  • River Basin 54%

• Virtual Node Tuning for Few-shot Node Classification

  Tan, Z., Guo, R., Ding, K. & Liu, H., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2177-2188 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Labels 100%
  • Tuning 91%
  1 Scopus citations
• 2022

  Annotating Line Charts for Addressing Deception

  Fan, A., Ma, Y., Mancenido, M. & MacIejewski, R., Apr 29 2022, CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 80. (Conference on Human Factors in Computing Systems - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Visualization 100%
  • Experiments 9%
  8 Scopus citations

• Bias Mitigation for Toxicity Detection via Sequential Decisions

  Cheng, L., Mosallanezhad, A., Silva, Y. N., Hall, D. L. & Liu, H., Jul 6 2022, SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1750-1760 11 p. (SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Toxicity 100%
  • Social sciences 35%
  • Markov processes 29%
  • Machine learning 20%
  • Decision making 20%
  5 Scopus citations

• Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems

  Sheth, P., Liu, T., Doner, D., Deng, Q., Wei, Y., Muenich, R., Sabo, J., Candan, K. S. & Liu, H., 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 5568-5577 10 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature Selection 100%
  • Physical process 77%
  • Water 61%
  • Assessment Tools 55%
  • Soil 55%
  1 Scopus citations

• Causal Disentanglement with Network Information for Debiased Recommendations

  Sheth, P., Guo, R., Ding, K., Cheng, L., Candan, K. S. & Liu, H., 2022, Similarity Search and Applications - 15th International Conference, SISAP 2022, Proceedings. Skopal, T., Lokoč, J., Falchi, F., Sapino, M. L., Bartolini, I. & Patella, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 265-273 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13590 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Recommendations 100%
  • Learning systems 94%
  • Lenses 94%
  • Recommender systems 93%
  • User Preferences 59%
  1 Scopus citations

• Causal mediation analysis with hidden confounders

  Cheng, L., Guo, R. & Liu, H., Feb 11 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 113-122 10 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Personnel 100%
  • Deep learning 58%
  4 Scopus citations

• Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph

  Jeong, U., Alghamdi, Z., Ding, K., Cheng, L., Li, B. & Liu, H., 2022, Social, Cultural, and Behavioral Modeling - 15th International Conference, SBP-BRiMS 2022, Proceedings. Thomson, R., Dancy, C. & Pyke, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 35-45 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13558 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Discourse 100%
  • Hypergraph 71%
  • Health 27%
  • Experiment 13%
  • Interaction 13%
  1 Scopus citations

• DISCO: Comprehensive and Explainable Disinformation Detection

  Fu, D., Ban, Y., Tong, H., MacIejewski, R. & He, J., Oct 17 2022, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 4848-4852 5 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • News 100%
  • Agenda 98%
  • Prediction 97%
  • Leverage 92%
  • Financial Markets 88%
  8 Scopus citations

• Distributional Shift Adaptation using Domain-Specific Features

  Tahir, A., Cheng, L., Guo, R. & Liu, H., 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 5593-5597 5 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Target 100%
  • Invariant 86%
  • Streaming 52%
  • Training Samples 52%
  • Machine Learning 51%
  2 Scopus citations

• Domain Adaptive Fake News Detection via Reinforcement Learning

  Mosallanezhad, A., Karami, M., Shu, K., Mancenido, M. V. & Liu, H., Apr 25 2022, WWW 2022 - Proceedings of the ACM Web Conference 2022. Association for Computing Machinery, Inc, p. 3632-3640 9 p. (WWW 2022 - Proceedings of the ACM Web Conference 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement learning 100%
  • Labeled data 39%
  • Costs 12%
  • Experiments 11%
  31 Scopus citations

• Estimating causal effects of multi-aspect online reviews with multi-modal proxies

  Cheng, L., Guo, R. & Liu, H., Feb 11 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 103-112 10 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Industry 100%
  • Feedback 36%
  1 Scopus citations

• Exploring the Target Distribution for Surrogate-Based Black-Box Attacks

  Moraffah, R., Sheth, P. & Liu, H., 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1310-1315 6 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Surrogate 100%
  • Black Box 94%
  • Attack 83%
  • Target 70%
  • Deep neural networks 39%

• Generalized Few-Shot Node Classification

  Xu, Z., Ding, K., Wang, Y. X., Liu, H. & Tong, H., 2022, Proceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022. Zhu, X., Ranka, S., Thai, M. T., Washio, T. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 608-617 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2022-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Labels 100%
  • Uncertainty 73%
  • Neural networks 71%
  • Experiments 41%
  2 Scopus citations

• Graph few-shot class-incremental learning

  Tan, Z., Ding, K., Guo, R. & Liu, H., Feb 11 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 987-996 10 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Electronic commerce 100%
  • Consolidation 90%
  • Recommender systems 86%
  • Artificial intelligence 75%
  • Sampling 60%
  30 Scopus citations

• Graph minimally-supervised learning

  Ding, K., Li, J., Chawla, N. & Liu, H., Feb 11 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 1620-1622 3 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Supervised learning 100%
  • Labeled data 55%
  • Molecules 15%
  • Labeling 15%
  • Big data 14%

• Improving Educational Standards Using Visualization Dashboards for Decision Making

  Colyar, J., Michael, K., Maciejewski, R. & Tate, L., 2022, ISTAS 2022 - IEEE International Symposium on Technology and Society 2022: Digital and Societal Transformations. Gopal, T. V., Lau, L., Chang, L. & Adamson, G. (eds.). Institute of Electrical and Electronics Engineers Inc., (International Symposium on Technology and Society, Proceedings; vol. 2022-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • visualization 100%
  • Education 89%
  • Visualization 81%
  • Decision making 76%
  • decision making 66%

• InfoFair: Information-Theoretic Intersectional Fairness

  Kang, J., Xie, T., Wu, X., MacIejewski, R. & Tong, H., 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1455-1464 10 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Fairness 100%
  • Attribute 62%
  • Mutual Information 42%
  • Learning Outcomes 42%
  • Learning 35%
  7 Scopus citations

• Meta-Learned Metrics over Multi-Evolution Temporal Graphs

  Fu, D., Fang, L., MacIejewski, R., Torvik, V. I. & He, J., Aug 14 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 367-377 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Drug Discovery 100%
  • Labeling 72%
  • Labels 63%
  15 Scopus citations

• Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

  Ding, K., Wang, J., Caverlee, J. & Liu, H., Jun 30 2022, AAAI-22 Technical Tracks 6. Association for the Advancement of Artificial Intelligence, p. 6524-6531 8 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semi-supervised learning 100%
  • Labeled data 95%
  • Labels 69%
  • Neural networks 49%
  • Gold 44%
  14 Scopus citations

• Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks

  Jeong, U., Ding, K., Cheng, L., Guo, R., Shu, K. & Liu, H., 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 596-605 10 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Hypergraph 100%
  • Neural Networks 74%
  • Labeled data 73%
  • Leverage 52%
  • News 52%
  4 Scopus citations

• Physics-Informed Graph Learning

  Peng, C., Xia, F., Saikrishna, V. & Liu, H., 2022, Proceedings - 22nd IEEE International Conference on Data Mining Workshops, ICDMW 2022. Candan, K. S., Dinh, T. N., Thai, M. T. & Washio, T. (eds.). IEEE Computer Society, p. 732-739 8 p. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2022-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Physics 100%

• PPSL: Privacy-Preserving Text Classification for Split Learning

  Alnasser, W., Beigi, G., Mosallanezhad, A. & Liu, H., 2022, Proceedings - 2022 4th International Conference on Data Intelligence and Security, ICDIS 2022. Institute of Electrical and Electronics Engineers Inc., p. 160-167 8 p. (Proceedings - 2022 4th International Conference on Data Intelligence and Security, ICDIS 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Text Classification 100%
  • Privacy Preserving 81%
  • Machine Learning 61%
  • Machine learning 43%
  • Privacy 42%
  1 Scopus citations

• Query-Efficient Target-Agnostic Black-Box Attack

  Moraffah, R. & Liu, H., 2022, Proceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022. Zhu, X., Ranka, S., Thai, M. T., Washio, T. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 368-377 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2022-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Tuning 100%
  • Deep neural networks 31%
  • Failure modes 28%
  • Experiments 11%
  1 Scopus citations

• STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems

  Sheth, P., Shah, R., Sabo, J., Candan, K. S. & Liu, H., 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 5578-5583 6 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Graph 100%
  • Truth 87%
  • Temporal Constraints 87%
  • Relationships 84%
  • Framework 80%
  1 Scopus citations

• The KDD 2022 Workshop on Causal Discovery (CD2022)

  Le, T. D., Liu, L., Kiciman, E., Triantafyllou, S. & Liu, H., Aug 14 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 4884-4885 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data mining 100%
  • Machine learning 44%
  • Experiments 42%
  • Costs 22%

• "This is Fake! Shared it by Mistake":Assessing the Intent of Fake News Spreaders

  Zhou, X., Shu, K., Phoha, V. V., Liu, H. & Zafarani, R., Apr 25 2022, WWW 2022 - Proceedings of the ACM Web Conference 2022. Association for Computing Machinery, Inc, p. 3685-3694 10 p. (WWW 2022 - Proceedings of the ACM Web Conference 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Spreaders 100%
  • Experiments 8%
  7 Scopus citations

• Toward Graph Minimally-Supervised Learning

  Ding, K., Zhang, C., Tang, J., Chawla, N. & Liu, H., Aug 14 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 4782-4783 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Supervised learning 100%
  • Labeled data 55%
  • Labeling 15%
  • Neural networks 9%
  4 Scopus citations
• 2021

  A Comparative Survey: Benchmarking for Pool-based Active Learning

  Zhan, X., Liu, H., Li, Q. & Chan, A. B., 2021, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z-H. (ed.). International Joint Conferences on Artificial Intelligence, p. 4679-4686 8 p. (IJCAI International Joint Conference on Artificial Intelligence).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Problem-Based Learning 100%
  • Benchmarking 90%
  • Labels 29%
  • Machine learning 25%
  • Learning algorithms 14%
  23 Scopus citations

• A Simulation-Optimization Approach to Improve the Allocation of Security Screening Resources in Airport Terminal Checkpoints

  Perez, E., Taunton, L. & Sefair, J. A., 2021, 2021 Winter Simulation Conference, WSC 2021. Institute of Electrical and Electronics Engineers Inc., (Proceedings - Winter Simulation Conference; vol. 2021-December).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Simulation-based Optimization 100%
  • Checkpoint 96%
  • Simulation Optimization 89%
  • Screening 66%
  • Airports 60%
  1 Scopus citations

• A Study on Mental Health Discussion through Reddit

  Kamarudin, N. S., Beigi, G. & Liu, H., Aug 2021, Proceedings - 2021 International Conference on Software Engineering and Computer Systems and 4th International Conference on Computational Science and Information Management, ICSECS-ICOCSIM 2021. Institute of Electrical and Electronics Engineers Inc., p. 637-643 7 p. (Proceedings - 2021 International Conference on Software Engineering and Computer Systems and 4th International Conference on Computational Science and Information Management, ICSECS-ICOCSIM 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Community Mental Health 100%
  • Mental Health 75%
  • Health 60%
  • Sentiment 41%
  • Linguistics 38%
  2 Scopus citations

• Causal Understanding of Fake News Dissemination on Social Media

  Cheng, L., Guo, R., Shu, K. & Liu, H., Aug 14 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 148-157 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  27 Scopus citations

• CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods

  Sheth, P., Jeong, U., Guo, R., Liu, H. & Selçuk Candan, K., Oct 26 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 4789-4793 5 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Machine Learning 100%
  • Causal Inference 98%
  • Learning Methods 94%
  • Estimator 60%
  • Benchmark 29%
  1 Scopus citations

• Constructing a visualization dashboard to improve educational standards in Arizona legislative districts

  Barrett, J. C., Michael, K., MacIejewski, R. & Tate, L., 2021, Proceedings - 2021 IEEE International Symposium on Society and Technology: Technological Stewardship and Responsible Innovation, ISTAS 2021. Caron, B., Schmitt, K. A., Pearl, Z., Dara, R. & Love, H. A. (eds.). Institute of Electrical and Electronics Engineers Inc., (International Symposium on Technology and Society, Proceedings; vol. 2021-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • visualization 100%
  • Education 89%
  • Visualization 81%
  • district 73%
  • Visibility 69%
  1 Scopus citations

• Early Detection of Fake News with Multi-source Weak Social Supervision

  Shu, K., Zheng, G., Li, Y., Mukherjee, S., Awadallah, A. H., Ruston, S. & Liu, H., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 650-666 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12459 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Engagement 100%
  • Chaos theory 86%
  • Face recognition 81%
  • Detectors 66%
  • Face Detection 43%
  10 Scopus citations

• Evaluating Forecasting, Knowledge, and Visual Analytics

  Lu, Y., Steptoe, M., Buchanan, V., Cooke, N. & Maciejewski, R., 2021, Proceedings - 2021 IEEE Workshop on TRust and EXpertise in Visual Analytics, TREX 2021. Institute of Electrical and Electronics Engineers Inc., p. 32-39 8 p. (Proceedings - 2021 IEEE Workshop on TRust and EXpertise in Visual Analytics, TREX 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Knowledge Bases 100%
  • Machine Learning 93%
  • Machine learning 60%
  1 Scopus citations

• Fact-Enhanced Synthetic News Generation

  Shu, K., Li, Y., Ding, K. & Liu, H., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 13825-13833 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 15).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Experiments 100%
  11 Scopus citations

• Few-shot network anomaly detection via cross-network meta-learning

  DIng, K., Zhou, Q., Tong, H. & Liu, H., Apr 19 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, Inc, p. 2448-2456 9 p. (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Anomaly detection 100%
  • Finance 18%
  • Electric network analysis 16%
  • Labeling 15%
  • Learning algorithms 13%
  55 Scopus citations

• Generating Topic-Preserving Synthetic News

  Mosallanezhad, A., Shu, K. & Liu, H., 2021, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021. Chen, Y., Ludwig, H., Tu, Y., Fayyad, U., Zhu, X., Hu, X. T., Byna, S., Liu, X., Zhang, J., Pan, S., Papalexakis, V., Wang, J., Cuzzocrea, A. & Ordonez, C. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 490-499 10 p. (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement learning 100%
  • News 83%
  • Experiments 35%
  • Text Summarization 24%
  • Machine Translation 20%
  3 Scopus citations

• Improving cyberbullying detection with user interaction

  Ge, S., Cheng, L. & Liu, H., Apr 19 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, Inc, p. 496-506 11 p. (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Neural networks 100%
  19 Scopus citations

• Interpolation of scientific image databases

  Kinner, E. G., Lukasczyk, J., Rogers, D. H., Maciejewski, R. & Garth, C., Apr 1 2021, 2nd International Conference of the DFG International Research Training Group 2057 - Physical Modeling for Virtual Manufacturing, iPMVM 2020. Garth, C., Aurich, J. C., Linke, B., Muller, R., Ravani, B., Weber, G. H. & Kirsch, B. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2020-19. (OpenAccess Series in Informatics; vol. 89).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Image Database 100%
  • interpolation 47%
  • Interpolation 47%
  • Interpolate 43%
  • neural network 33%

• Mitigating bias in session-based cyberbullying detection: A non-compromising approach

  Cheng, L., Mosallanezhad, A., Silva, Y. N., Hall, D. L. & Liu, H., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 2158-2168 11 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Social Media 100%
  • Context-aware 52%
  • social media 43%
  • Reinforcement Learning 43%
  • Reinforcement learning 41%
  23 Scopus citations

• Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors

  Karami, M., Nazer, T. H. & Liu, H., Aug 30 2021, HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media. Association for Computing Machinery, Inc, p. 225-230 6 p. (HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Spreaders 100%
  • Experiments 13%
  • Uncertainty 11%
  • Testing 9%
  17 Scopus citations