Affiliation History
Discipline
Computer Science
Top Specialties
Data Mining | Knowledge Extraction | Social Media | Neural Network | Artificial Intelligence | Social Network | Intelligence Agency | Recommender System | Anomaly Detection | Big Data | Mathematical Optimization | Information Engineering | Pattern Recognition | Social Network Analysis
Metrics Summary
Publication Count
131
Predicted Citations
7,485
Predicted h-index
42
Ranking
Publications and Citation History
Publications based on Top Specialties
Types of Publication
- Publications
- Books
- Patents
- NIH/NSF
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SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization (journal article) Journal of Biomedical Informatics, volume 151 (2024). |
Collaborative Graph Neural Networks for Attributed Network Embedding (journal article) IEEE Transactions on Knowledge and Data Engineering, volume 36, issue 3, pages 972-986 (2024). |
Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling (journal article) Journal of Biomedical Informatics, volume 143 (2023). |
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data (conference) 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI) (2023) Houston, TX, USA |
PME: pruning-based multi-size embedding for recommender systems (journal article) Frontiers in Big Data, volume 6 (2023). |
Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection (book chapter) In Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track Springer Nature Switzerland (2023) |
Mitigating Algorithmic Bias with Limited Annotations (book chapter) In Machine Learning and Knowledge Discovery in Databases: Research Track Springer Nature Switzerland (2023) |
Subarchitecture Ensemble Pruning in Neural Architecture Search (journal article) IEEE Transactions on Neural Networks and Learning Systems, volume 33, issue 12, pages 7928-7936 (2022). |
Auto-GNN: Neural architecture search of graph neural networks (journal article) Frontiers in Big Data, volume 5 (2022). |
IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 44, issue 6, pages 2909-2922 (2022). |
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning (journal article) IEEE Transactions on Neural Networks and Learning Systems, volume 33, issue 6, pages 2365-2377 (2022). |
Understanding Social Biases Behind Location Names in Contextual Word Embedding Models (journal article) IEEE Transactions on Computational Social Systems, volume 9, issue 2, pages 458-468 (2022). |
Defense Against Explanation Manipulation (journal article) Frontiers in Big Data, volume 5 (2022). |
Social Boosted Recommendation With Folded Bipartite Network Embedding (journal article) IEEE Transactions on Knowledge and Data Engineering, volume 34, issue 2, pages 914-926 (2022). |
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study (journal article) IEEE Transactions on Pattern Analysis and Machine Intelligence (2022). |
Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs (journal article) IEEE Transactions on Neural Networks and Learning Systems, volume 33, issue 1, pages 103-116 (2022). |
Graph Neural Networks: AutoML (book chapter) In Graph Neural Networks: Foundations, Frontiers, and Applications Springer Nature Singapore (2022) |
Interpretability in Graph Neural Networks (book chapter) In Graph Neural Networks: Foundations, Frontiers, and Applications Springer Nature Singapore (2022) |
Towards structured NLP interpretation via graph explainers (journal article) Applied AI Letters, volume 2, issue 4 (2021). |
Mutual Information Preserving Back-propagation (conference) KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2021) Virtual Event Singapore |