Chair
Professor Lydia Y. Chen lydiaychen@ieee.org |
Ph.D. Students
Masoud Ghiassi |
Chi Hong |
Jiyue Huang (With S. Roos) |
Bart Cox (With J. Decouchant) |
Jeroen Galjaard |
Chaoyi Zhu |
Aditya Shankar (With R. He) |
Abel Malan |
Researcher
Hans Brouwer |
Roland Kromes |
Collaborators
| Name | Affiliation |
|---|---|
| Stefanie Roos | Professor at University of Kaiserslautern |
| Robert Birke | Assistant professor at University of Torino, Italy |
| Han Rui | Beijin Technology University, China |
| Marten Van Dijk | CWI, the Netherlands |
| Juan Perez | Los Anders Univeresity, Columbia |
| Pin-yu Chen | IBM Research, USA |
| De-Nian Yang | Academia Sinica, Taiwan |
Alumni
| Name | First employment |
|---|---|
| Zilong Zhao | Postdoc, TUM Germany |
| Hao Li | Assistant professor at Central South University, China |
Master Thesis Students
| Name | Master/Intern | Thesis/Project |
|---|---|---|
| Gijs Paardekooper | Master 24 | Source free domain adapttion for TableGPT |
| Julio Sanchez | Master 24 | Vertical multi-modality federated learning |
| Casper Meijer | Master 24 | Attacks and defense for time series generative models |
| Jiayi Tang | Master 24 | Privcacy preserving generative AI |
| Aditya Shankar | Master 23 | Vertical federated learning for time series |
| Chaoyi Zhu | Master 23 | LeadFL: Client side defense for backdoor attacks in federated learning |
| Abel Mălan | Master 23 | Confidential federated Bayesian inference |
| Jiamin Xu | Master 23 | Federated latent diffusion learning for tabular synthesis |
| Mohamed Rashad | Master 23 | Vertical federated learning for classifier |
| Miruna Betianu | Master 23 | Domain adapation for large language models |
| Yijun Zhu | Master 22 | Permutation invariant tabular data synthesizer |
| Jeroen Galjaard | Master 22 | Noisy fewshots learrning |
| Erwin van Thiel | Master 22 | Adversarial example for multi-label problems |
| Hans Brouwer | Master 22 | Self-supervised Audio-Reactive Music Video Synthesiss |
| Jin Xu | Master 22 | AGIC: Approximate Gradient Inversion Attack on Federated Learning |
| Izaak Cornelis | Master 21 | Federated learrning on non-IID data |
| Aditya Kunar | Master 21 | GAN-based synthetic tabular data generator |
| Zhiyue Zhang | Master 21 | Disparity seeding for maximizing information spread on social networks |
| Bart Cox | Master 20 | Efficient multiple DNNs inference on edge devices |
| Shikhar Deve | Master 20 | Multi-fidelity hyper-parameter tuning for machine learning algorithms |
Bachelor Thesis Students
| Name | Year | Thesis |
|---|---|---|
| Ethan Keller | 2022 | FCT-GAN: Fourier Neural Operator for Global Relation Enhancement in Tabular Data Synthesizing |
| Viktor Velev | 2022 | LCT-GAN Improving the efficiency of tabular data synthesis vialatent embeddings |
| Orhan Rauf Akdemir | 2022 | Extending CTAB-GAN+ with StackGAN architecture |
| Marc Visser | 2022 | UniformGAN: generative adversarial networks in uniform probability spaces |
| Ben Provan-Bessell | 2021 | Text-to-Comic Generative Adversarial Network |
| Maciej Styczeń | 2021 | Automated Text-Image Comic Dataset Construction |
| Bartlomiej Kotlicki | 2021 | HaarCNN: Detection and Recognition of Comic Strip Characters with Deep |
| Darwin Morris | 2021 | Synthesizing Comics via Conditional Generative Adversarial Networks |
| Krzysztof Garbowicz | 2021 | DilBERT^2: Humor Detection and Sentiment Analysis of Comic Texts Using Fune-Tuned BERT Models |
| Cosmin Pene | 2021 | Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators |
| Mark Basting | 2021 | Multi-AL: Robust Active learning for Multi-label Classifier |
| Johnathan Rozen | 2021 | Robust Multi-label Active Learning for Missing Labels |
| Jan-Mark Dannenberg | 2021 | Time Series Synthesis using Generative Adversarial Networks |
| Pepijn te Marvelde | 2021 | Differentially Private GAN for Time Series |
| Marcus Plesner | 2021 | FeTGAN: Federated Time-Series Generative Adversarial Network |
| Auke Schaap | 2021 | Time Series Synthesis Using GANs - A take on DoppelGANger |
| Jeroen Galjaard | 2020 | Mema: Fast Inference of Multiple Deep Models |
| Hans Brouwer | 2020 | Modeling Inference Time of Deep Neural Networks on Memory-constrained Systems |
| Wouter van Lil | 2020 | Analysis of the effect of caching convolutional network layers on resource constraint devices |
| Simon Tulling | 2020 | Offline Compression of Convolutional Neural Networks on Edge Devices |
| Khalid El Haji, Noah Posner, Haka Ilbaş, Sergen Karpuz, and Victor Wernet | 2020 | Synthetic Waste Generator for Classification Training |
| Dennis Böhm, Dylan Franken, Govert de Gans, Bas Musters, and Bram van Kooten | 2020 | TAM 2.0 |
| Simon Barendsem, and Jorick Spitzen | 2019 | Job containerization and orchestration to reduce TTC and operational costs |