Guoqiang Wu
Associate Professor
Dr. Guoqiang Wu is an associate researcher in the School of Software, Shandong University. He received his bachelor's degree from Shandong University in 2012. Then, he received his master's and Ph.D. degrees from the University of Chinese Academy of Sciences in 2015 and 2019, respectively. From 2019 to 2021, he did his postdoc research at Tsinghua University. His research interests mainly concentrate on machine learning, optimization, artifici... More+
Paper Publications
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[1] 张岩. RehearMixup: Improving rehearsal-based continual learning. Neurocomputing, 657, 2025.
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[2] 王榕甄. A Theory for Conditional Generative Modeling on Multiple Data Sources. Forty-Second International Conference on Machine Learning (ICML 2025), 2025.
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[3] 郑晨宇. Toward Understanding Generative Data Augmentation. 37th Conference on Neural Information Processing Systems (NeurIPS), 2023.
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[4] 庞腾. QFAE: Q-Function guided Action Exploration for offline deep reinforcement learning. Pattern Recognition, 158, 2024.
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[5] 郑晨宇. Revisiting Discriminative vs. Generative Classifiers: Theory and Implications. 40th International Conference on Machine Learning, ICML 2023, 202, 42420-42477, 2023.
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[6] 吴国强. Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning?. 15th Asian Conference on Machine Learning, ACML 2023, 222, 1494-1509, 2024.
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[7] 王丙正. DiffAIL: Diffusion Adversarial Imitation Learning. 38th AAAI Conference on Artificial Intelligence, AAAI 2024, 38, 15447-15455, 2024.
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[8] 吴国强. Towards Understanding Generalization of Macro-AUC in Multi-label Learning. 40th International Conference on Machine Learning, ICML 2023, 202, 37540-37570, 2023.