Statistics and Data Science

Filter
Conference contribution

Search results

  • 2025

    Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concepts at Different Layers?

    Jin, M., Yu, Q., Huang, J., Zeng, Q., Wang, Z., Hua, W., Zhao, H., Mei, K., Meng, Y., Ding, K., Yang, F., Du, M. & Zhang, Y., 2025, Main Conference. Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Association for Computational Linguistics (ACL), p. 558-573 16 p. (Proceedings - International Conference on Computational Linguistics, COLING; vol. Part F206484-1).

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

  • Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models

    Zhang, K., Lyu, F., Tang, X., Liu, D., Ma, C., Ding, K., He, X. & Liu, X., Mar 10 2025, WSDM 2025 - Proceedings of the 18th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 744-753 10 p. (WSDM 2025 - Proceedings of the 18th ACM International Conference on Web Search and Data Mining).

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

    Open Access
  • 2024

    Data Quality-aware Graph Machine Learning

    Wang, Y., Ding, K., Liu, X., Kang, J., Rossi, R. & Derr, T., Oct 21 2024, CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 5534-5537 4 p. (International Conference on Information and Knowledge Management, Proceedings).

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

  • Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise

    Ding, K., Ma, X., Liu, Y. & Pan, S., Aug 24 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 574-584 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

    Open Access
    1 Scopus citations

  • Empowering Large Language Models for Textual Data Augmentation

    Li, Y., Ding, K., Wang, J. & Lee, K., 2024, 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 12734-12751 18 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

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

    Open Access
    1 Scopus citations

  • Graph Anomaly Detection with Few Labels: A Data-Centric Approach

    Ma, X., Li, R., Liu, F., Ding, K., Yang, J. & Wu, J., Aug 24 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2153-2164 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
    3 Scopus citations

  • Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning

    Hu, Z., Li, Y., Chen, Z., Wang, J., Liu, H., Lee, K. & Ding, K., 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 1396-1409 14 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024).

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

    Open Access

  • Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization

    Wang, H., Jing, B., Ding, K., Zhu, Y., Cheng, W., Zhang, S., Fan, Y., Zhang, L. & Zhou, D., Aug 24 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3045-3056 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
    3 Scopus citations

  • MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection

    Xu, X., Ding, K., Chen, C. & Shu, K., 2024, 2024 IEEE 11th International Conference on Data Science and Advanced Analytics, DSAA 2024. Institute of Electrical and Electronics Engineers Inc., (2024 IEEE 11th International Conference on Data Science and Advanced Analytics, DSAA 2024).

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

    1 Scopus citations

  • 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

    2 Scopus citations

  • On Fake News Detection with LLM Enhanced Semantics Mining

    Ma, X., Zhang, Y., Ding, K., Yang, J., Wu, J. & Fan, H., 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 508-521 14 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

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

    1 Scopus citations

  • RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery

    Zhang, C., Xu, D. D. K., Ding, K., Li, J., Javaheripi, M., Mukherjee, S., Chawla, N. V. & Liu, H., Aug 24 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 6749-6750 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

  • 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

    Open Access
    17 Scopus citations

  • Federated Few-shot Learning

    Wang, S., Fu, X., Ding, K., Chen, C., Chen, H. & Li, J., Aug 4 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
    21 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
    9 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
    50 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

    5 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
    6 Scopus citations

  • Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation

    Yang, Z., Ren, M., Ding, K., Gerig, G. & Wang, Y., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).

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

    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

    1 Scopus citations

  • Learning Strong Graph Neural Networks with Weak Information

    Liu, Y., Ding, K., Wang, J., Lee, V., Liu, H. & Pan, S., Aug 4 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

    Open Access
    31 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
    3 Scopus citations

  • 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
    3 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

    4 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

    8 Scopus citations

  • Towards Self-Interpretable Graph-Level Anomaly Detection

    Liu, Y., Ding, K., Lu, Q., Li, F., Zhang, L. Y. & Pan, S., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).

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

    28 Scopus citations

  • Virtual Node Tuning for Few-shot Node Classification

    Tan, Z., Guo, R., Ding, K. & Liu, H., Aug 4 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

    19 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

    55 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
    9 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

    Open Access
    17 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

    6 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

    49 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

    1 Scopus citations

  • 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
    2 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

    Open Access
    30 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
    15 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
    34 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

    6 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
    47 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

    15 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

  • Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities

    Rácz, M. Z. & Sridhar, A., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 34).

    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

    19 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

    Open Access
    90 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

    Open Access
    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

    7 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

    41 Scopus citations