Prof. Jingwen Ye — Research Profile
Monash University · Department of Data Science and Artificial Intelligence
Considering this lab for grad school?
Save it to compare side by side with other labs, and keep your contact prep in one place.
What to prepare before emailing a PIAbout
Prof. Jingwen Ye at Monash University Department of Data Science and Artificial Intelligence lists Trustworthy AI, Generative Models, Machine Unlearning, Multimodal Learning as their registered research area.
Research keywords
Other labs in this department
- Abhinav Dhall Lab
Computer Vision, Affective Computing, Human-Computer Interaction
- Alan Dorin Lab
Artificial Life, Ecosystem Simulation, Agent Based Modelling, Insect-plant interaction, Pollination, Biodiversity, Electronic Art, Generative Art, Computer Arts, Computer Music
- Alexey Ignatiev Lab
Satisfiability, Computational Logic, Knowledge Representation and Reasoning, Automated Reasoning, Artificial Intelligence, Combinatorial Optimisation
- Ann Nicholson Lab
Artificial intelligence, Bayesian networks, Data Mining, Risk analysis, Probabilistic reasoning, Knowledge Engineering, Causal discovery, Decision support
- Arun Konagurthu Lab
Bioinformatics, Computational Biology, statistical learning theory, Algorithms, Information Theory
- Bernd Meyer Lab
Collective Behaviour, Collective Decision Making, Modelling and Simulation, Natural Computing, Intelligent Systems