Jun Wu
Orcid: 0000-0002-1512-524XAffiliations:
- University of Illinois at Urbana-Champaign, IL, USA
- Arizona State University, AZ, USA (former)
- Dalian University of Technology, China (former)
According to our database1,
Jun Wu
authored at least 24 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
IEEE Trans. Knowl. Data Eng., November, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Frontiers Big Data, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data.
CoRR, 2018
ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018