Big Data Mining, Deep Learning, and Machine Learning: models, algorithms, and systems for scalable data analysis with applications on artificial intelligence, knowledge discovery, prediction, and anomaly detection.
- Deep Learning and Machine Learning
- Autonomous machine learning (AutoML)
- Lightweight machine learning, to build a fast and energy-efficient model
- Transferable machine learning, to build a high quality model even when labeled instances are scarce
- Anomaly detection, prediction, and one-class classification
- Object detection and classification using sensors
- Question answering
- Graphs and Tensors
- Random walk with restart for ranking and relation inference
- Graph machine learning: node classification and representation learning
- Scalable tensor and graph mining
- Recommender System
- Recommendation in multi-modality, where multi-modal data, including ratings, social networks, texts, images, and videos are available
- Sequence recommendation, including video and news recommendation
- Active recommendation
- Financial Artificial Intelligence (AI)
- Time series prediction
- Asset value prediction
- Fraud detection and prediction