Ji, Shuiwang

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

Zhang, W., Li, R., Deng, H., Wang, L., Lin, W., Ji, S., & Shen, D. (2015) · NeuroImage

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 817

Deep Adversarial Learning for Multi-Modality Missing Data Completion

Cai, L., Wang, Z., Gao, H., Shen, D., & Ji, S. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Generative Adversarial Networks and Image SynthesisMedical Imaging Techniques and Applications

Cited by 180

Deep Learning of High-Order Interactions for Protein Interface Prediction

Liu, Y., Yuan, H., Cai, L., & Ji, S. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 48

Machine Learning Explanations to Prevent Overtrust in Fake News Detection

Mohseni, S., Yang, F., Pentyala, S., Du, M., Liu, Y., Lupfer, N., Hu, X., Ji, S., & Ragan, E. (2021) · Proceedings of the International AAAI Conference on Web and Social Media

Misinformation and Its ImpactsExplainable Artificial Intelligence (XAI)

Cited by 44

Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation

Yan, K., Li, X., Ling, H., Ashen, K., Edwards, C., Arróyave, R., Zitnik, M., Ji, H., Qian, X., Qian, X., et al. (2025) · arXiv

Machine Learning in Materials ScienceTopic Modeling

Cited by 5

Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Parashar, S., Olson, B., Khurana, S., Li, E., Ling, H., Caverlee, J., & Ji, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0