Wang, Wei

Machine learning and integrative analysis of biomedical big data

Mirza, B., Wang, W., Wang, J., Choi, H., Chung, N. C., & Ping, P. (2019) · Genes

Bioinformatics and Genomic NetworksGene expression and cancer classification

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Heritability and genomics of gene expression in peripheral blood

Wright, F. A., Sullivan, P. F., Brooks, A. I., Zou, F., Sun, W., Xia, K., Madar, V., Jansen, R., Chung, W., Zhou, Y.-H., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

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Learning Deep Network Representations with Adversarially Regularized Autoencoders

Yu, W., Zheng, C., Cheng, W., Aggarwal, C. C., Song, D., Zong, B., Chen, H., & Wang, W. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Advanced Graph Neural NetworksComplex Network Analysis Techniques

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Preference Leakage: A Contamination Problem in LLM-as-a-judge

Li, D., Sun, R., Huang, Y., Zhong, M., Jiang, B., Han, J., Zhang, X., Wang, W., & Liu, H. (2025) · arXiv

Topic ModelingEthics and Social Impacts of AI

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A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents

Huang, W.-C., Zhang, W., Liang, Y., Bei, Y., Chen, Y., Feng, T., Pan, X., Tan, Z., Wang, Y., Wei, T., et al. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

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Building an ethical and trustworthy biomedical AI ecosystem for the translational and clinical integration of foundation models

Sankar, B. S., Gilliland, D., Rincon, J., Hermjakob, H., Yan, Y., Adam, I., Lemaster, G., Wang, D., Watson, K., Bui, A., et al. (2024) · Bioengineering

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

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Large Language Models Can Be Contextual Privacy Protection Learners

Xiao, Y., Jin, Y., Bai, Y., Wu, Y., Yang, X., Luo, X., Yu, W., Zhao, X., Liu, Y., Gu, Q., et al. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Privacy-Preserving Technologies in DataTopic Modeling

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Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Deng, Y., Lu, P., Yin, F., Hu, Z., Shen, S., Gu, Q., Zou, J., Chang, K.-W., & Wang, W. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsTopic Modeling

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Evaluating Large Language Models in Scientific Discovery

Song, Z., Lu, J., Du, Y., Yu, B., Pruyn, T. M., Huang, Y., Guo, K., Luo, X., Qu, Y., Qu, Y., et al. (2025) · arXiv

Topic ModelingArtificial Intelligence Applications

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Does Few-Shot Learning Help LLM Performance in Code Synthesis?

Xu, D., Xie, T., Xia, B., Li, H., Bai, Y., Sun, Y., & Wang, W. (2024) · arXiv

Software Engineering ResearchTopic Modeling

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Towards LifeSpan Cognitive Systems

Wang, Y., Han, C., Wu, T., He, X., Zhou, W., Sadeq, N., Chen, X., He, Z., Wang, W., Haffari, G., et al. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

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