Quanyu Dai
Orcid: 0000-0001-7578-2738
According to our database1,
Quanyu Dai
authored at least 55 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Semi-supervised domain adaptation on graphs with contrastive learning and minimax entropy.
Neurocomputing, 2024
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., May, 2023
IEEE Trans. Netw. Sci. Eng., 2023
Adversarially regularized graph attention networks for inductive learning on partially labeled graphs.
Knowl. Based Syst., 2023
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks.
Pattern Recognit., 2022
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems.
CoRR, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Inf. Sci., 2021
Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
ACM Trans. Intell. Syst. Technol., 2020
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018