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  • 2024

    Co-clustering for Federated Recommender System

    He, X., Liu, S., Keung, J. & He, J., May 13 2024, WWW 2024 - Proceedings of the ACM Web Conference. Association for Computing Machinery, p. 3821-3832 12 p. (WWW 2024 - Proceedings of the ACM Web Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Fairgen: Towards Fair Graph Generation

    Zheng, L., Zhou, D., Tong, H., Xu, J., Zhu, Y. & He, J., 2024, Proceedings - 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024. IEEE Computer Society, p. 2285-2297 13 p. (Proceedings - International Conference on Data Engineering).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes

    Wang, H., Wu, Z. & He, J., Mar 4 2024, WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 721-730 10 p. (WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems

    Zheng, L., Chen, Z., He, J. & Chen, H., May 13 2024, WWW 2024 - Proceedings of the ACM Web Conference. Association for Computing Machinery, p. 4107-4116 10 p. (WWW 2024 - Proceedings of the ACM Web Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Neural Contextual Bandits for Personalized Recommendation

    Ban, Y., Qi, Y. & He, J., May 13 2024, WWW 2024 Companion - Companion Proceedings of the ACM Web Conference. Association for Computing Machinery, p. 1246-1249 4 p. (WWW 2024 Companion - Companion Proceedings of the ACM Web Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval

    Li, Z., Ao, Y. & He, J., Jul 10 2024, SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 2629-2634 6 p. (SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • TrustLOG: The Second Workshop on Trustworthy Learning on Graphs

    He, J., Kang, J., Nargesian, F., Wang, H., Zhang, A. & Zhou, D., May 13 2024, WWW 2024 Companion - Companion Proceedings of the ACM Web Conference. Association for Computing Machinery, p. 1785-1788 4 p. (WWW 2024 Companion - Companion Proceedings of the ACM Web Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 2023

    Everything Evolves in Personalized PageRank

    Li, Z., Fu, D. & He, J., Apr 30 2023, ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, p. 3342-3352 11 p. (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 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, 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 proceedingConference contribution

    Open Access
  • Fairness-aware Multi-view Clustering

    Zheng, L., Zhu, Y. & He, J., 2023, 2023 SIAM International Conference on Data Mining, SDM 2023. Society for Industrial and Applied Mathematics Publications, p. 856-864 9 p. (2023 SIAM International Conference on Data Mining, SDM 2023).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Graph Neural Bandits

    Qi, Y., Ban, Y. & He, J., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1920-1931 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Natural and Artificial Dynamics in GNNs: A Tutorial

    Fu, D., Xu, Z., Tong, H. & He, J., Feb 27 2023, WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 1252-1255 4 p. (WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Non-IID Transfer Learning on Graphs

    Wu, J., He, J. & Ainsworth, E., Jun 27 2023, AAAI-23 Technical Tracks 9. Williams, B., Chen, Y. & Neville, J. (eds.). American Association for Artificial Intelligence (AAAI) Press, p. 10342-10350 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Personalized Federated Learning with Parameter Propagation

    Wu, J., Bao, W., Ainsworth, E. & He, J., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2594-2605 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning

    He, X., Wei, T. & He, J., Oct 21 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 709-719 11 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • The 3rd Workshop on Graph Learning Benchmarks (GLB 2023)

    Ma, J., Zhu, J., Dong, Y., Koutra, D., He, J., Mei, Q., Tsitsulin, A., Zhang, X. & Zitnik, M., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 5870-5871 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Trustworthy Transfer Learning: Transferability and Trustworthiness

    Wu, J. & He, J., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 5829-5830 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2022

    Adaptive Knowledge Transfer on Evolving Domains

    Wu, J., Tong, H., Ainsworth, E. & He, J., 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. 1389-1394 6 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning

    Zhou, Y., Wu, J., Wang, H. & He, J., Oct 17 2022, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2753-2762 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative

    Wei, T., You, Y., Chen, T., Shen, Y., He, J. & Wang, Z., 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 proceedingConference contribution

  • A Unified Meta-Learning Framework for Dynamic Transfer Learning

    Wu, J. & He, J., 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. 3573-3579 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Comprehensive Fair Meta-learned Recommender System

    Wei, T. & 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. 1989-1999 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Contrastive Learning with Complex Heterogeneity

    Zheng, L., Xiong, J., Zhu, Y. & 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. 2594-2604 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Deep Active Learning by Leveraging Training Dynamics

    Wang, H., Huang, W., Wu, Z., Margenot, A., Tong, H. & He, J., 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 proceedingConference contribution

  • 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 proceedingConference contribution

    Open Access
  • Distribution-Informed Neural Networks for Domain Adaptation Regression

    Wu, J., He, J., Wang, S., Guan, K. & Ainsworth, E., 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 proceedingConference contribution

  • Domain Adaptation with Dynamic Open-Set Targets

    Wu, J. & 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. 2039-2049 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data

    Fu, D. & He, J., 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. 5269-5277 9 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Fairness-aware Model-agnostic Positive and Unlabeled Learning

    Wu, Z. & He, J., Jun 21 2022, Proceedings of 2022 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022. Association for Computing Machinery, p. 1698-1708 11 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Improved Algorithms for Neural Active Learning

    Ban, Y., Zhang, Y., Tong, H., Banerjee, A. & He, J., 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 proceedingConference contribution

  • MentorGNN: Deriving Curriculum for Pre-Training GNNs

    Zhou, D., Zheng, L., Fu, D., Han, J. & He, J., Oct 17 2022, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2721-2731 11 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 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 proceedingConference contribution

  • Neural Bandit with Arm Group Graph

    Qi, Y., Ban, Y. & 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. 1379-1389 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • TrustLOG: The First Workshop on Trustworthy Learning on Graphs

    Kang, J., Zhang, S., Li, B., He, J., Pei, J. & Zhou, D., Oct 17 2022, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 5169-5170 2 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2021

    Controllable gradient item retrieval

    Wang, H., Zhou, C., Yang, C., Yang, H. & He, J., Apr 19 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, p. 768-777 10 p. (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Deep co-attention network for multi-view subspace learning

    Zheng, L., Cheng, Y., Yang, H., Cao, N. & He, J., Apr 19 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, p. 1528-1539 12 p. (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Indirect Invisible Poisoning Attacks on Domain Adaptation

    Wu, J. & He, J., Aug 14 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1852-1862 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Local clustering in contextual multi-armed bandits

    Ban, Y. & He, J., Apr 19 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, p. 2335-2346 12 p. (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Multi-facet Contextual Bandits: A Neural Network Perspective

    Ban, Y., He, J. & Cook, C. B., Aug 14 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 35-45 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Outlier Impact Characterization for Time Series Data

    Li, J., Zheng, L., Zhu, Y. & He, J., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 11595-11603 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 13A).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network

    Zhou, Y., Xu, J., Wu, J., Taghavi, Z., Korpeoglu, E., Achan, K. & He, J., Aug 14 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2409-2419 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • SDG: A Simplified and Dynamic Graph Neural Network

    Fu, D. & He, 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, p. 2273-2277 5 p. 3463059. (SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 2020

    A Data-Driven Graph Generative Model for Temporal Interaction Networks

    Zhou, D., Zheng, L., Han, J. & He, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 401-411 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • A View-Adversarial Framework for Multi-View Network Embedding

    Fu, D., Xu, Z., Li, B., Tong, H. & He, J., Oct 19 2020, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2025-2028 4 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities

    Roach, S., Ni, C., Kopylov, A., Lu, T. C., Xu, J., Zhang, S., Du, B., Zhou, D., Wu, J., Liu, L., Yan, Y., He, J. & Tong, H., Dec 10 2020, Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020. Wu, X., Jermaine, C., Xiong, L., Hu, X. T., Kotevska, O., Lu, S., Xu, W., Aluru, S., Zhai, C., Al-Masri, E., Chen, Z. & Saltz, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1634-1643 10 p. 9378258. (Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Crowd Teaching with Imperfect Labels

    Zhou, Y., Nelakurthi, A. R., MacIejewski, R., Fan, W. & He, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, p. 110-121 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting

    Zhou, D., Zheng, L., Zhu, Y., Li, J. & He, J., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, p. 2230-2240 11 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Generic Outlier Detection in Multi-Armed Bandit

    Ban, Y. & He, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 913-923 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • InFoRM: Individual Fairness on Graph Mining

    Kang, J., He, J., MacIejewski, R. & Tong, H., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 379-389 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Local Motif Clustering on Time-Evolving Graphs

    Fu, D., Zhou, D. & He, J., Aug 23 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 390-400 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access