Yu Rong
Orcid: 0000-0001-7387-302XAffiliations:
- Alibaba DAMO Academy
- Tecent AI Lab, Shenzhen, China (former)
- Chinese University of Hong Kong, Hong Kong (former, PhD 2016)
According to our database1,
Yu Rong
authored at least 119 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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2024
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on royrong.me
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Proc. VLDB Endow., June, 2024
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024
Neural Networks, 2024
J. Comput. Biol., 2024
Adaptive Coordinators and Prompts on Heterogeneous Graphs for Cross-Domain Recommendations.
CoRR, 2024
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning.
CoRR, 2024
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series.
CoRR, 2024
Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation.
CoRR, 2024
CoRR, 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications.
CoRR, 2024
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
scMHNN: a novel hypergraph neural network for integrative analysis of single-cell epigenomic, transcriptomic and proteomic data.
Briefings Bioinform., September, 2023
IEEE Trans. Knowl. Data Eng., May, 2023
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
Inf. Sci., May, 2023
Trans. Mach. Learn. Res., 2023
IEEE Trans. Knowl. Data Eng., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed.
Proc. VLDB Endow., 2022
Structure-aware conditional variational auto-encoder for constrained molecule optimization.
Pattern Recognit., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
J. Cheminformatics, 2022
CoRR, 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
CoRR, 2022
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs.
CoRR, 2022
CoRR, 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations.
CoRR, 2022
Bioinform., 2022
Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Topological, 2022
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer.
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 Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2021
Neurocomputing, 2021
PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels.
CoRR, 2021
Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the Database Systems for Advanced Applications, 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
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proc. VLDB Endow., 2020
CoRR, 2020
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion.
Proceedings of the Database Systems for Advanced Applications, 2018
2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
Proceedings of the 23rd International World Wide Web Conference, 2014