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Huan Liu

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1988 …2024

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  • 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

  • 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
    5 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

    10 Scopus citations

  • Fairness through Aleatoric Uncertainty

    Tahir, A., Cheng, L. & Liu, H., Oct 21 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2372-2381 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

    3 Scopus citations

  • GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection

    Liu, Y., Ding, K., Liu, H. & Pan, S., Feb 27 2023, WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 339-347 9 p. (WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining).

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

    Open Access
    37 Scopus citations

  • How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts

    Kumarage, T., Sheth, P., Moraffah, R., Garland, J. & Liu, H., 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 1337-1349 13 p. (Findings of the Association for Computational Linguistics: EMNLP 2023).

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

    2 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
    3 Scopus citations

  • Inductive Linear Probing for Few-Shot Node Classification

    Mathavan, H., Tan, Z., Mudiam, N. & Liu, H., 2023, Social, Cultural, and Behavioral Modeling - 16th International Conference, SBP-BRiMS 2023, Proceedings. Thomson, R., Al-khateeb, S., Burger, A., Park, P. & A. Pyke, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 274-284 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14161 LNCS).

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

  • Learning Node Abnormality with Weak Supervision

    Zhou, Q., Ding, K. & Liu, H., Oct 21 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 3584-3594 11 p. (International Conference on Information and Knowledge Management, Proceedings).

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

    Open Access
    1 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

    16 Scopus citations

  • PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework

    Sheth, P., Kumarage, T., Moraffah, R., Chadha, A. & Liu, H., 2023, Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Proceedings. Koutra, D., Plant, C., Gomez Rodriguez, M., Baralis, E. & Bonchi, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 559-575 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14169 LNAI).

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

    1 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

  • 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

    1 Scopus citations

  • Studying the Influence of Toxicity and Emotion Features for Stress Detection on Social Media

    Alghamdi, Z., Kumarage, T., Karami, M., Alatawi, F., Mosallanezhad, A. & Liu, H., 2023, Proceedings of the 10th European Conference on Social Media, ECSM 2023. Lupa-Wojcik, I. & Czyzewska, M. (eds.). Academic Conferences Limited, p. 42-51 10 p. (Proceedings of the 10th European Conference on Social Media, ECSM 2023).

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

    2 Scopus citations

  • Supervised Graph Contrastive Learning for Few-Shot Node Classification

    Tan, Z., Ding, K., Guo, R. & Liu, H., 2023, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings. Amini, M.-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 394-411 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13714 LNAI).

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

    2 Scopus citations

  • Towards Detecting Harmful Agendas in News Articles

    Subbiah, M., Bhattacharjee, A., Hua, Y., Kumarage, T., Liu, H. & McKeown, K., 2023, WASSA 2023 - 13th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop. Barnes, J., De Clercq, O. & Klinger, R. (eds.). Association for Computational Linguistics (ACL), p. 110-128 19 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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

    2 Scopus citations

  • 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

    10 Scopus citations

  • “Let’s Eat Grandma”: Does Punctuation Matter in Sentence Representation?

    Karami, M., Mosallanezhad, A., Mancenido, M. V. & Liu, H., 2023, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings. Amini, M.-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 588-604 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13714 LNAI).

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

    2 Scopus citations
  • 2022

    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

    6 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

    2 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

    4 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

    5 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

    1 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

    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

    45 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

    2 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

  • Few-Shot Learning on Graphs

    Zhang, C., Ding, K., Li, J., Zhang, X., Ye, Y., Chawla, N. V. & Liu, H., 2022, Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022. De Raedt, L. (ed.). International Joint Conferences on Artificial Intelligence, p. 5662-5669 8 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

    9 Scopus citations

  • Generalized Few-Shot Node Classification

    Xu, Z., Ding, K., Wang, Y. X. & 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. 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

    3 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

    32 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

  • 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

    18 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
    11 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

    3 Scopus citations

  • 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

    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

    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

    2 Scopus citations

  • Text Transformations in Contrastive Self-Supervised Learning: A Review

    Bhattacharjee, A., Karami, M. & Liu, H., 2022, Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022. De Raedt, L. (ed.). International Joint Conferences on Artificial Intelligence, p. 5394-5401 8 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

    5 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

  • "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

    11 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

    5 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

    29 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

    2 Scopus citations

  • Causal Learning for Socially Responsible AI

    Cheng, L., Mosallanezhad, A., Sheth, P. & Liu, H., 2021, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z.-H. (ed.). International Joint Conferences on Artificial Intelligence, p. 4374-4381 8 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

    4 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

    39 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

    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

    15 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

    14 Scopus citations

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

    DIng, K., Zhou, Q. & 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

    68 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

    4 Scopus citations