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  • 2024

    MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders

    Yang, Z., Ding, K., Liu, H. & Wang, Y., Jan 3 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. Institute of Electrical and Electronics Engineers Inc., p. 3291-3301 11 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024).

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

    1 Scopus citations

  • The 5th International Workshop on Machine Learning on Graphs (MLoG)

    Derr, T., Ma, Y., Ding, K., Zhao, T. & Ahmed, N. K., Mar 4 2024, WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 1210-1211 2 p. (WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining).

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

  • 2023

    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

    7 Scopus citations

  • Federated Few-shot Learning

    Wang, S., Fu, X., Ding, K., Chen, C., Chen, 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. 2374-2385 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
    11 Scopus citations

  • Few-shot Node Classification with Extremely Weak Supervision

    Wang, S., Dong, Y., Ding, K., Chen, C. & Li, J., Feb 27 2023, WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 276-284 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
    1 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

    31 Scopus citations

  • Grenade: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs

    Li, Y., Ding, K. & Lee, K., 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 2745-2757 13 p. (Findings of the Association for Computational Linguistics: EMNLP 2023).

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

  • 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
    2 Scopus citations

  • Learning Node Abnormality with Weak Supervision

    Zhou, Q., Ding, K., Liu, H. & Tong, 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

  • 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

    14 Scopus citations

  • Matching Correlated Inhomogeneous Random Graphs using the k-core Estimator

    Rácz, M. Z. & Sridhar, A., 2023, 2023 IEEE International Symposium on Information Theory, ISIT 2023. Institute of Electrical and Electronics Engineers Inc., p. 2499-2504 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2023-June).

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

    Open Access

  • MetaExplorer: Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis

    Kale, A., Lee, S., Goan, T., Tipton, E. & Hullman, J., Apr 19 2023, CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 465. (Conference on Human Factors in Computing Systems - Proceedings).

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

    Open Access
    2 Scopus citations

  • 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

  • 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

    1 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

    5 Scopus citations
  • 2022

    BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

    Liu, K., Dou, Y., Zhao, Y., Ding, X., Hu, X., Zhang, R., Ding, K., Chen, C., Peng, H., Shu, K., Sun, L., Li, J., Chen, G. H., Jia, Z. & Yu, P. S., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

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

    27 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

    Open Access
    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

    1 Scopus citations

  • 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. & De Raedt, L. (eds.). 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

    7 Scopus citations

  • 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

    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

    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

  • Invariance Through Latent Alignment

    Yoneda, T., Yang, G., Walter, M. R. & Stadie, B. C., 2022, Robotics: Science and Systems. Hauser, K., Shell, D. & Huang, S. (eds.). MIT Press Journals, (Robotics: Science and Systems).

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

    Open Access
    1 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

    15 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
    10 Scopus citations

  • Task-Adaptive Few-shot Node Classification

    Wang, S., Ding, K., Zhang, C., Chen, C. & Li, J., Aug 14 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1910-1919 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

    Open Access
    17 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

    4 Scopus citations
  • 2021

    AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter

    Dong, Y., Ding, K., Jalaian, B., Ji, S. & Li, J., Oct 26 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 392-401 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

    Open Access
    29 Scopus citations

  • Approximate Trace Reconstruction: Algorithms

    Davies, S., Racz, M. Z., Schiffer, B. G. & Rashtchian, C., Jul 12 2021, 2021 IEEE International Symposium on Information Theory, ISIT 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2525-2530 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2021-July).

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

    12 Scopus citations

  • Change Point Analysis and Clustering Examined Through Chicago Crime During COIVD-19

    Whalen, M., Papachristos, A., Feinglass, J. & Samia, N. I., 2021, 3rd International Conference on Statistics: Theory and Applications, ICSTA 2021. Ladde, G. S. & Samia, N. (eds.). Avestia Publishing, 137. (Proceedings of the International Conference on Statistics).

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

    Open Access

  • 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., 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

    65 Scopus citations

  • GLOW: Global Weighted Self-Attention Network for Web Search

    Shan, X., Liu, C., Xia, Y., Chen, Q., Zhang, Y., Ding, K., Liang, Y., Luo, A. & Luo, Y., 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. 519-528 10 p. (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021).

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

    5 Scopus citations

  • Learning to Selectively Learn for Weakly-supervised Paraphrase Generation

    Ding, K., Li, D., Li, A. H., Fan, X., Guo, C., Liu, Y. & Liu, H., 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 5930-5940 11 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

    5 Scopus citations

  • LSHvec: A vector representation of DNA sequences using locality sensitive hashing and FastText word embeddings

    Shi, L. & Chen, B., Jan 18 2021, Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021. Association for Computing Machinery, Inc, (Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021).

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

    4 Scopus citations

  • Sequential Recommendation for Cold-start Users with Meta Transitional Learning

    Wang, J., Ding, K. & Caverlee, J., Jul 11 2021, SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1783-1787 5 p. 3463089. (SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

    34 Scopus citations

  • Session-based recommendation with hypergraph attention networks

    Wang, J., Ding, K., Zhu, Z. & Caverlee, J., 2021, SIAM International Conference on Data Mining, SDM 2021. Siam Society, p. 82-90 9 p. (SIAM International Conference on Data Mining, SDM 2021).

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

    76 Scopus citations

  • Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning

    Ding, K., Shan, X. & Liu, H., Oct 26 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2979-2983 5 p. (International Conference on Information and Knowledge Management, Proceedings).

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

    3 Scopus citations

  • World Model as a Graph: Learning Latent Landmarks for Planning

    Zhang, L., Yang, G. & Stadie, B., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 12611-12620 10 p. (Proceedings of Machine Learning Research; vol. 139).

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

    26 Scopus citations
  • 2020

    Be more with less: Hypergraph attention networks for inductive text classification

    Ding, K., Wang, J., Li, J., Li, D. & Liu, H., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 4927-4936 10 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

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

    112 Scopus citations

  • Generative data augmentation for commonsense reasoning

    Yang, Y., Malaviya, C., Fernandez, J., Swayamdipta, S., Le Bras, R., Wang, J. P., Bhagavatula, C., Choi, Y. & Downey, D., 2020, Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020. Association for Computational Linguistics (ACL), p. 1008-1025 18 p. (Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020).

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

    92 Scopus citations

  • Graph Few-shot Learning with Attribute Matching

    Wang, N., Luo, M., Ding, K., Zhang, L., Li, J. & Zheng, Q., Oct 19 2020, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1545-1554 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

    43 Scopus citations

  • Graph Prototypical Networks for Few-shot Learning on Attributed Networks

    Ding, K., Wang, J., Li, J., Shu, K., Liu, C. & Liu, H., Oct 19 2020, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 295-304 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

    85 Scopus citations

  • Inductive anomaly detection on attributed networks

    Ding, K., Li, J., Agarwal, N. & Liu, H., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 1288-1294 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

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

    50 Scopus citations

  • Key opinion leaders in recommendation systems: Opinion elicitation and diffusion

    Wang, J., Ding, K., Zhu, Z., Zhang, Y. & Caverlee, J., Jan 20 2020, WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 636-644 9 p. (WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining).

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

    Open Access
    21 Scopus citations

  • Maximum entropy gain exploration for long horizon multi-goal reinforcement learning

    Pitis, S., Chan, H., Zhao, S., Stadie, B. & Ba, J., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 7706-7717 12 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-10).

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

    30 Scopus citations

  • Next-item Recommendation with Sequential Hypergraphs

    Wang, J., Ding, K., Hong, L., Liu, H. & Caverlee, J., Jul 25 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1101-1110 10 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

    189 Scopus citations
  • 2019

    Bayesian Complex Network Community Detection Using Nonparametric Topic Model

    Zhu, R. & Jiang, W., Jan 1 2019, Complex Networks and Their Applications VII - Volume 1 Proceedings The 7th International Conference on Complex Networks and their Applications COMPLEX NETWORKS 2018. Lambiotte, R., Rocha, L. M., Lió, P., Cherifi, H., Aiello, L. M. & Cherifi, C. (eds.). Springer Verlag, p. 280-291 12 p. (Studies in Computational Intelligence; vol. 812).

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

    1 Scopus citations

  • Classifying small volumes of tissue for real-time monitoring radiofrequency ablation

    Besler, E., Wang, Y. C., Chan, T. & Sahakian, A. V., 2019, Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Proceedings. Riaño, D., Wilk, S. & ten Teije, A. (eds.). Springer Verlag, p. 205-215 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11526 LNAI).

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

    2 Scopus citations

  • Deep anomaly detection on attributed networks

    Ding, K., Li, J., Bhanushali, R. & Liu, H., 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 594-602 9 p. (SIAM International Conference on Data Mining, SDM 2019).

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

    Open Access
    291 Scopus citations