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Collaborations and top research areas from the last five years
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Enhancing neuromolecular imaging classification in low-data regimes with generative machine learning: A case study in HDAC PET/MR imaging of alcohol use disorder
Meyer, T. N., Andreeva, O., Weiss, R. D., Ding, W., Shen, I., Wang, C., Chen, P. & Dagnew, T. M., Dec 2025, In: Neuroscience Informatics. 5, 4, 100225.Research output: Contribution to journal › Article › peer-review
Open Access -
Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems
Zhuang, Y., Almeida, M., Ding, W., Islam, S., Li, Z. & Chen, P., Oct 16 2025, In: ACM Transactions on Intelligent Systems and Technology. 16, 5, 120.Research output: Contribution to journal › Article › peer-review
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Improving Generalization in Deep Neural Networks by Mitigating Memorization
Zhuang, Y., Kang, T., Lu, Z., Ding, W. & Chen, P., 2025, Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Proceedings. Wu, X., Spiliopoulou, M., Wang, C., Kumar, V., Cao, L., Wu, Y., Wu, Z. & Yao, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 93-104 12 p. (Lecture Notes in Computer Science; vol. 15871 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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KDD Health Day 2025: Harnessing AI Opportunities in Biomedicine and Healthcare
Ping, P., Ding, W. & Yang, C., Aug 3 2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 6257-6258 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification
Li, Z., Ding, W., Mashukov, I., Crouter, S. & Chen, P., 2024, Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7–10, 2024, Proceedings. Yang, D.-N., Xie, X., Tseng, V. S., Pei, J., Huang, J.-W. & Lin, J.C.-W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 239-250 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14650 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution