Renchi YANG

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Renchi YANG, Prof

 https://orcid.org/0000-0002-7284-3096
20172025

Research activity per year

  • 23 Conference proceeding
  • 9 Journal article
  • 4 Conference article
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Conference proceeding

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  • 2025

    Adaptive Local Clustering over Attributed Graphs

    Zheng, H., Yang, R. & Xu, J., 20 May 2025, Proceedings of the 41st IEEE International Conference on Data Engineering, ICDE 2025. Hong Kong: IEEE, p. 2052-2065 14 p. (International Conference on Data Engineering).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Diffusion-based Graph-agnostic Clustering

    Xie, K., Yang, R. & Wang, S., 22 Apr 2025, Proceedings of the ACM on Web Conference 2025. New York: Association for Computing Machinery (ACM), p. 1353-1364 12 p. (Proceedings of the ACM on Web Conference 2025).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access

  • Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities

    Ruan, J., Chen, T., Yang, R., Ke, X. & Gao, Y., 3 Aug 2025, KDD '25: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), 11 p. (KDD: Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Grasp: Simple yet effective graph similarity predictions

    ZHENG, H., Shi, J. & YANG, R., 11 Apr 2025, Proceedings of the AAAI Conference on Artificial Intelligence. Walsh, T., Shah, J. & Kolter, Z. (eds.). 21 ed. New York: AAAI Conference on Artificial Intelligence, Vol. 39. p. 22884-22892 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 21).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs

    Zhang, T., Yang, R., Lai, Y., Yan, M., Ye, X. & Fan, D., 13 Jul 2025, Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025. Association for Computing Machinery (ACM), (Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • SAFT: Structure-aware Transformers for Textual Interaction Classification

    Wang, H., Yang, R., Wang, H., Zheng, H. & Xu, J., 13 Jul 2025, Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025. Association for Computing Machinery (ACM), 14 p. (Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Simple yet Effective Graph Distillation via Clustering

    Lai, Y., Zhang, T. & Yang, R., Aug 2025, KDD '25: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), 17 p.

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Spectral Subspace Clustering for Attributed Graphs

    Lin, X., Yang, R., Zheng, H. & Ke, X., 20 Jul 2025, KDD '25: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1. New York: Association for Computing Machinery (ACM), p. 789–799 11 p. (KDD: Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • 2024

    Effective Clustering on Large Attributed Bipartite Graphs

    Yang, R., Wu, Y., Lin, X., Wang, Q., Chan, T. N. & Shi, J., 24 Aug 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Baeza-Yates, R. & Bonchi, F. (eds.). 1st ed. New York: Association for Computing Machinery (ACM), p. 3782-3793 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    2 Citations (Scopus)

  • Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs

    Wang, H., Yang, R. & Xiao, X., 24 Aug 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), p. 3081-3091 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    File
    2 Citations (Scopus)
    24 Downloads (Pure)

  • Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks

    Lai, Y., Lin, X., Yang, R. & Wang, H., 24 Aug 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), p. 1463-1473 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    2 Citations (Scopus)
  • 2023

    Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations

    Wang, H., Yang, R. & Shi, J., 9 Aug 2023, Big Data Analytics and Knowledge Discovery: 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings. Wrembel, R., Gamper, J., Kotsis, G., Tjoa, A. M. & Khalil, I. (eds.). 1st ed. Springer Cham, p. 64-79 16 p. (Lecture Notes in Computer Science; vol. 14148)(DaWaK: International Conference on Big Data Analytics and Knowledge Discovery).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    2 Citations (Scopus)

  • Efficient and Effective Edge-wise Graph Representation Learning

    Wang, H., Yang, R., Huang, K. & Xiao, X., Aug 2023, KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Singh, A. & Sun, Y. (eds.). Association for Computing Machinery (ACM), p. 2326–2336 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    11 Citations (Scopus)

  • Efficient Approximation Algorithms for Spanning Centrality

    Zhang, S., Yang, R., Tang, J., Xiao, X. & Tang, B., Aug 2023, KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Singh, A. & Sun, Y. (eds.). Association for Computing Machinery (ACM), p. 3386–3395 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    3 Citations (Scopus)

  • LSCALE: Latent Space Clustering-Based Active Learning for Node Classification

    Liu, J., Wang, Y., Hooi, B., Yang, R. & Xiao, X., 17 Mar 2023, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part I. Amini, M.-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). 1st ed. Springer Cham, p. 55-70 16 p. (Lecture Notes in Computer Science; vol. 13713)(Lecture Notes in Artificial Intelligence)(ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Node-wise Diffusion for Scalable Graph Learning

    Huang, K., Tang, J., Liu, J., Yang, R. & Xiao, X., 30 Apr 2023, WWW '23: Proceedings of the ACM Web Conference 2023. Ding, Y., Tang, J., Sequeda, J., Aroyo, L., Castillo, C. & Houben, G.-J. (eds.). 1st ed. New York: Association for Computing Machinery (ACM), p. 1723-1733 11 p. (Proceedings of the International World Wide Web Conference).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    15 Citations (Scopus)

  • SlotGAT: Slot-based Message Passing for Heterogeneous Graphs

    Zhou, Z., Shi, J., Yang, R., Zou, Y. & Li, Q., Jul 2023, Proceedings of 40th International Conference on Machine Learning, ICML 2023. Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). ML Research Press, Vol. 202. p. 42644-42657 14 p. (Proceedings of Machine Learning Research; vol. 202).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    10 Citations (Scopus)
  • 2022

    Efficient and Effective Similarity Search over Bipartite Graphs

    Yang, R., 25 Apr 2022, WWW '22: Proceedings of the ACM Web Conference 2022. Association for Computing Machinery (ACM), p. 308-318 11 p. (WWW: International World Wide Web Conference).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    8 Citations (Scopus)

  • Scalable and Effective Bipartite Network Embedding

    Yang, R., Shi, J., Huang, K. & Xiao, X., 11 Jun 2022, SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. Association for Computing Machinery (ACM), p. 1977-1991 15 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access
    15 Citations (Scopus)
  • 2021

    Effective and scalable clustering on massive attributed graphs

    Yang, R., Shi, J., Yang, Y., Huang, K., Zhang, S. & Xiao, X., 3 Jun 2021, WWW '21: Proceedings of the Web Conference 2021. Association for Computing Machinery (ACM), p. 3675-3687 13 p. (WWW: International World Wide Web Conference).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    14 Citations (Scopus)

  • Fast Approximate All Pairwise CoSimRanks via Random Projection

    Yang, R. & Xiao, X., 2 Dec 2021, Web Information Systems Engineering – WISE 2021: 22nd International Conference on Web Information Systems Engineering, WISE 2021, Melbourne, VIC, Australia, October 26–29, 2021, Proceedings, Part I. Zhang, W., Zou, L., Maamar, Z. & Chen, L. (eds.). 1st ed. Springer Cham, p. 438-452 15 p. (Lecture Notes in Computer Science; vol. 13080)(Information Systems and Applications, incl. Internet/Web, and HCI)(WISE: International Conference on Web Information Systems Engineering).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    1 Citation (Scopus)
  • 2019

    Efficient estimation of heat kernel pagerank for local clustering

    Yang, R., Xiao, X., Wei, Z., Bhowmick, S. S., Zhao, J. & Li, R. H., 25 Jun 2019, SIGMOD '19: Proceedings of the 2019 International Conference on Management of Data. Association for Computing Machinery (ACM), p. 1339-1356 18 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    19 Citations (Scopus)
  • 2017

    FORA: Simple and Effective Approximate Single-Source Personalized PageRank

    Wang, S., Yang, R., Xiao, X., Wei, Z. & Yang, Y., 13 Aug 2017, KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), p. 505-514 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    100 Citations (Scopus)