Workshop and Symposium Organizations
Chair of AAAI-24 workshop Artificial Intelligence for Brain Encoding and Decoding
Organizer of the Symposium of ERC Advanced Project CALCULUS
Workshop and Symposium Organizations
Chair of AAAI-24 workshop Artificial Intelligence for Brain Encoding and Decoding
Organizer of the Symposium of ERC Advanced Project CALCULUS
Conference and Journal Services
Session Chair of IJCAI 2023
PC member of AAAI, ECAI, IJCAI, EMNLP, COLING etc., Reviewer of TPAMI.
Invited Talks and Tutorials
1. Mind Meets Machine: Unveiling Brain-AI Alignment in Language Understanding and Beyond. Keynotes at AIBED workshop in conjunction with AAAI 2024;
2. Insights into Brain-AI Synchronization for Enhanced Language Understanding. At Prof. Martin Schrimpf’s Lab in EPFL, 2024;
3. Brain-inspired Natural Language Representation models at CoML Lab in Ecole Normale Supérieure, 2024;
4. Deciphering the Visual Mind: Generative Models for Brain Decoding. At ESAT, KU Leuven
5. Brain Encoding and Decoding for Language and Visual Perception. At CALCULUS Symposium, KU Leuven, 2024;
6. Encoding and Decoding Brain Linguistic and Visual Perception. At a seminar with Prof. Alexander Bertrand's Lab in KU Leuven, 2024;
7. Image Reconstruction from Brain Activities with Contrastive Learning and Latent Diffusion. At ML meeting of DTAI lab in KU Leuven, 2023;
8. Decoding High-Resolution Images from Brain Activities. At a virtual meeting with Dr. Wei Huang's team in Department of life science and technology, University of Electronic Science and Technology of China, 2023;
9. About Brain decoding and "mind reading" at a live public lecture hosted by Tianqiao and Chrissy Chen Brain Science Institute, 2023.
Supervision and Assements
I work as supervisor and co-promotor of the following master students:
Ali Togar Dincer, KU Leuven, thesis: Decoding Linguistic Stimulus from Human Brain Activities with Language Models (ongoing)
Jonathan Swinnen, KU Leuven, thesis: Decoding Visual Stimulus from Human Brain Activities with Diffusion Models (ongoing)
I work as an assessor of following master students:
1. David Debot, KU Leuven, Approximating Volume Computations with Neural Networks
2. Arne Vermolen, KU Leuven, Investigating Neural-Symbolic Methods and Tasks: A Comparative Evaluation
3. Anissa Faik, KU Leuven, Bringing a New Perspective to the Classroom: Detecting and Explaining Student Outliers
4. Lara Roosens, KU Leuven, Turning Competency Data into Actionable Insights for Teachers
5. Toon Sauvillers, KU Leuven, Learning Analytics Dashboard: Visualising Students’ Performance Taking into Account Their Socioeconomic Background