publications
2024
- Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule LearningIn International Conference on Artificial Neural Networks, 2024
- Whole-Genome Omics Elucidates the Role of CCM1 and Progesterone in Cerebral Cavernous Malformations within CmPn NetworksDiagnostics, 2024
- Privacy-Preserving Unsupervised Spherical Text EmbeddingsIn 2024 International Joint Conference on Neural Networks (IJCNN), 2024
- Deep-Learning Uncovers certain CCM Isoforms as Transcription FactorsFrontiers in Bioscience-Landmark, 2024
- Enhancing Transcription Factor Prediction Through Multi-Task Learning (student abstract)(accepted)In Proceedings of the AAAI Conference on Artificial Intelligence, 2024
2023
- Explainable Transcription Factor Prediction with Protein Language Models (accepted)In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023
- Defending the Graph Reconstruction Attacks for Simplicial Neural NetworksIn 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), 2023
- Mitigate gender bias using negative multi-task learningNeural Processing Letters, 2023
- Towards fair and selectively privacy-preserving models using negative multi-task learning (student abstract)In Proceedings of the AAAI Conference on Artificial Intelligence, 2023
- Novel hepatocellular carcinomas (HCC) Subtype-Specific BiomarkersbioRxiv, 2023
- Identification of Cholangiocarcinoma (CCA) Subtype-Specific BiomarkersbioRxiv, 2023
2019
- Wear debris classification and quantity and size calculation using convolutional neural networkIn Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health: International 2019 Cyberspace Congress, CyberDI and CyberLife, Beijing, China, December 16–18, 2019, Proceedings, Part I 3, 2019
2018
- Wear debris classification of steel production equipment using feature fusion and case-based reasoningISIJ International, 2018