| 2026 | CHI | Embodiment in Action: Embodied Experiences of More-Than-Human Entanglements. | Diotima Bertel, Quynh Nguyen, Anna Blumenkranz, Julia Himmelsbach, Simone Kriglstein, Bojana Nikolovska, Maria Normark, Doroth Smit, Beatrix Wais-Zechmann, Yoko Akama |
| 2024 | AVI | CoLEBricks: Co-Designing Virtual Reality Scenarios with Generative Building Blocks. | Quynh Nguyen, Emma Jaspaert, Markus Murtinger, Simone Kriglstein, Manfred Tscheligi |
| 2024 | NordiCHI | Transforming Ideas into Tangible Artifacts: Discovering Making, Makers, and the Making Experience. | Cornelia Gerdenitsch, Georg Regal, Quynh Nguyen, Simone Kriglstein |
| 2023 | Interact | Supporting Resilience Through Virtual Reality: Design and Preliminary Evaluation of a VR Experience Based on Viktor Frankl's Logotherapy. | Quynh Nguyen, Rodrigo Gutierrez, Lukas Krninger, Ulrike Kretzer |
| 2023 | Interact | Mind the Heart: Designing a Stress Dashboard Based on Physiological Data for Training Highly Stressful Situations in Virtual Reality. | Olivia Zechner, Helmut Schrom-Feiertag, Jakob Carl Uhl, Quynh Nguyen, Lisanne Kleygrewe, Manfred Tscheligi |
| 2022 | CHI | VR [we are] Training - Workshop on Collaborative Virtual Training for Challenging Contexts. | Georg Regal, Helmut Schrom-Feiertag, Quynh Nguyen, Marco Aust, Markus Murtinger, Doroth Smit, Manfred Tscheligi, Mark Billinghurst |
| 2021 | ICML | On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths. | Quynh Nguyen |
| 2021 | ICML | Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks. | Quynh Nguyen, Marco Mondelli, Guido F. Montfar |
| 2021 | Interact | Stress Out: Translating Real-World Stressors into Audio-Visual Stress Cues in VR for Police Training. | Quynh Nguyen, Emma Jaspaert, Markus Murtinger, Helmut Schrom-Feiertag, Sebastian Egger-Lampl, Manfred Tscheligi |
| 2021 | UCC | Jupiter: a networked computing architecture. | Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Jason A. Tran, Aleksandra Knezevic, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr |
| 2019 | ICLR | On the loss landscape of a class of deep neural networks with no bad local valleys. | Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein |
| 2019 | ICML | On Connected Sublevel Sets in Deep Learning. | Quynh Nguyen |
| 2019 | Middleware | Container Orchestration for Dispersed Computing. | Pradipta Ghosh, Quynh Nguyen, Bhaskar Krishnamachari |
| 2018 | ICLR | The loss surface and expressivity of deep convolutional neural networks. | Quynh Nguyen, Matthias Hein |
| 2018 | ICML | Optimization Landscape and Expressivity of Deep CNNs. | Quynh Nguyen, Matthias Hein |
| 2018 | ICML | Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions. | Quynh Nguyen, Mahesh Chandra Mukkamala, Matthias Hein |
| 2017 | ICML | The Loss Surface of Deep and Wide Neural Networks. | Quynh Nguyen, Matthias Hein |
| 2017 | ITA | Computing inter-encounter time distributions for multiple random walkers on graphs. | Quynh Nguyen, Bhaskar Krishnamachari |
| 2016 | CVPR | Latent Embeddings for Zero-Shot Classification. | Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele |
| 2016 | GLOBECOM | On the Computation of Centrality Metrics for Network Security in Mesh Networks. | Leonardo Maccari, Quynh Nguyen, Renato Lo Cigno |
| 2014 | MASS | Area-Based Dissemination in Vehicular Networks. | Quynh Nguyen, Bhaskar Krishnamachari |