Jiangchao Yao


Publications

[* indicate the equal contribution, # indicate the corresponding author]


Book Chapters

  1. Graph Neural Networks in Modern Recommender Systems.
    Y. Chu, J. Yao, C. Zhou, H. Yang
    Graph Neural Networks: Foundations, Frontiers, and Applications. Springer.


Conference Papers

  1. NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension.
    X. He, J. Yao, Y. Wang, Z. Tang, K. Chun Cheung, S. See, B. Han, X. Chu
    AAAI Conference on Artificial Intelligence (AAAI'23)

  2. FedSkip: Combating Statistical Heterogeneity with Federated Skip Aggregation.
    Z. Fan, Y. Wang#, J. Yao#, L. Lyu, Y. Zhang, Q. Tian
    International Conference on Data Mining. (ICDM'22)

  3. Contrastive Learning with Boosted Memorization.
    Z. Zhou, J. Yao#, Y. Wang#, B. Han, Y. Zhang
    International Conference on Machine Learning. (ICML'22)

  4. Device-Cloud Collaborative Recommendation via Meta Controller
    J. Yao, F. Wang, X. Ding, S. Chen, B. Han, J. Zhou, H. Yang
    ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'22)

  5. PEAR: Photographic Embedding for Aesthetic Rating
    H. Wu, J. Yao
    International Conference on Acoustics, Speech and Signal Processing (ICCASSP'22)

  6. Reliable Adversarial Distillation with Unreliable Teachers
    J. Zhu, J. Yao, B. Han, J. Zhang, T. Liu, G. Niu, J. Zhou, J. Xu, H. Yang
    International Conference on Learning Representation (ICLR'22)

  7. Sparse-Interest Network for Sequential Recommendation.
    Q. Tan, J. Zhang, J. Yao, N. Liu, J. Zhou, H. Yang, X. Hu.
    International Conference on Web Search and Data Mining (WSDM'21)

  8. Device-Cloud Collaborative Learning for Recommendation
    J. Yao*, F. Wang*, K. Jia*, B. Han, J. Zhou, H. Yang.
    ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'21)

  9. Cooperative Learning for Noisy Supervision.
    H. Wu, J. Yao, Y. Zhang, Y. Wang.
    International Conference on Multimedia and Expo (ICME'21)

  10. Learning with Group Noise.
    Q Wang*, J. Yao*, C. Gong, T. Liu, M. Gong, H. Yang, B. Han.
    AAAI Conference on Artificial Intelligence (AAAI'21)

  11. Bayes EMbedding (BEM) Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks.
    Y. Ye, X. Wang, J. Yao, K. Jia, J. Zhou, Y. Xiao, H. Yang.
    International Conference on Information and Knowledge Management (CIKM'19)

  12. Collaborative Label Correction via Entropy Thresholding.
    H. Wu, J. Yao, J. Wang, Y. Chen, Y. Zhang, and Y. Wang.
    International Conference on Data Mining (ICDM'19)

  13. How Does Disagreement Help Generalization against Label Corruption?
    X. Yu, B. Han, J. Yao, G. Niu, I. Tsang, M. Sugiyama
    International Conference on Machine Learning. (ICML'19)

  14. Understanding Vaes in Fisher-Shannon Plane.
    H. Zheng, J. Yao, Y. Zhang, I. W. Tsang, and J. Wang.
    AAAI Conference on Artificial Intelligence (AAAI'19)

  15. Safeguarded Dynamic Label Regression for Noisy Supervision.
    J. Yao, H. Wu, Y. Zhang, I. W. Tsang, and J. Sun.
    AAAI Conference on Artificial Intelligence (AAAI'19)

  16. Collaborative Learning for Weakly Supervised Object Detection.
    J. Wang, J. Yao, Y. Zhang, and R. Zhang.
    International Joint Conference on Artificial Intelligence. (IJCAI'18)

  17. Masking: A New Perspective of Noisy Supervision.
    B. Han*, J. Yao*, G. Niu, M. Zhou, I.W. Tsang, Y. Zhang, and M. Sugiyama.
    Advances on Neural Information Processing Systems 31 (NeurIPS'18)

  18. Describing Geographical Characteristics with Social Images
    H. Zheng, J. Yao, Y. Zhang
    International Conference on Multimedia Modeling (MMM'17)

  19. Discovering User Interests from Social Images
    J. Yao, Y. Zhang, I. Tsang, J. Sun
    International Conference on Multimedia Modeling (MMM'17)

  20. Preference-Aware Recommendation Based on Categorical Information
    Z. Rao, J. Yao, Y. Zhang, R. Zhang
    International Conference on Machine Learning and Applications (ICMLA'16)

  21. Online Learning Algorithm for Collective LDA
    X. Chen, J. Yao, Y. Wang, Y. Zhang
    International Conference on Machine Learning and Applications (ICMLA'15)

  22. Joint Latent Dirichlet Allocation for Non-IID Social Tags
    J. Yao, Y. Zhang, Z. Xu, J. Sun, J. Zhou, X. Gu
    International Conference on Multimedia and Expo (ICME'15)


Journal Articles

  1. Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
    J. Yao, S, Zhang, Y, Yao, F. Wang, J. Ma, J. Zhang, Y. Chu, L. Ji, K. Jia, T. Shen, A. Wu, F. Zhang, Z. Tan, K. Kuang, C. Wu, F. Wu, J. Zhou, H. Yang
    IEEE Transactions on Knowledge and Data Engineering (TKDE) (2022)

  2. CogKR: Cognitive Graph for Multi-hop Knowledge Reasoning
    Z. Du, C. Zhou, J. Yao, T. Tu, L. Cheng, H. Yang, J. Zhou, J. Tang
    IEEE Transactions on Knowledge and Data Engineering (TKDE) (2021)

  3. Learning on Attribute-Missing Graphs.
    X. Chen, S. Chen, J. Yao, H. Zheng, Y. Zhang, and I. Tsang
    Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2020).

  4. Decoupled Variational Embedding for Signed Directed Networks.
    X. Chen, J. Yao, M. Li, Y. Zhang, and Y. Wang
    ACM Transactions on the Web (TWEB) 15, no. 1 (2020): 1-31.

  5. Deep Learning from Noisy Labels with Quality Embedding.
    J. Yao, J. Wang, I. W. Tsang, Y. Zhang, J. Sun, C. Zhang, and R. Zhang
    IEEE Transactions on Image Processing (TIP) 28.4 (2019): 1909-1922.

  6. Joint Latent Dirichlet Allocation for Social Tags.
    J. Yao, Y. Wang, Y. Zhang, J. Sun, and J. Zhou
    IEEE Transactions on Multimedia (TMM) 20.1 (2018): 224-237.