Linh Tran
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
14
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models. | Linh Tran, Wei Sun, Stacy Patterson, Ana L. Milanova |
| 2025 | SiggraphA | Audio Driven Real-Time Facial Animation for Social Telepresence. | Jiye Lee, Chenghui Li, Linh Tran, Shih-En Wei, Jason M. Saragih, Alexander Richard, Hanbyul Joo, Shaojie Bai |
| 2023 | ICRA | Generalizable Pose Estimation Using Implicit Scene Representations. | Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga |
| 2023 | IECON | Frequency Response of Grid-Forming and Following Inverters-Based Microgrid Supplied by Onshore Electrified Ships. | Quang-Manh Bui, Linh Tran, Thanh Vo-Duy, Tuyen Vu, Bao-Huy Nguyen |
| 2022 | CVPR | JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. | Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik |
| 2022 | GECCO | COIL: Constrained optimization in learned latent space: learning representations for valid solutions. | Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran |
| 2022 | ICMLA | SimCURL: Simple Contrastive User Representation Learning from Command Sequences. | Hang Chu, Amir Hosein Khasahmadi, Karl D. D. Willis, Fraser Anderson, Yaoli Mao, Linh Tran, Justin Matejka, Jo Vermeulen |
| 2022 | PPSN | Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders. | Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran |
| 2020 | CPP | A functional proof pearl: inverting the Ackermann hierarchy. | Linh Tran, Anshuman Mohan, Aquinas Hobor |
| 2020 | ICML | The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. | Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin |
| 2020 | ICML | How Good is the Bayes Posterior in Deep Neural Networks Really? | Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin |
| 2020 | LREC | The Medical Scribe: Corpus Development and Model Performance Analyses. | Izhak Shafran, Nan Du, Linh Tran, Amanda Perry, Lauren Keyes, Mark Knichel, Ashley Domin, Lei Huang, Yuhui Chen, Gang Li, Mingqiu Wang, Laurent El Shafey, Hagen Soltau, Justin S. Paul |
| 2019 | ACL | Extracting Symptoms and their Status from Clinical Conversations. | Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran |
| 2019 | EMNLP | Learning to Infer Entities, Properties and their Relations from Clinical Conversations. | Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran |
| 2018 | CVPR | GAGAN: Geometry-Aware Generative Adversarial Networks. | Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic |
| 2018 | PAAMS | A Network-Oriented Adaptive Agent Model for Learning Regulation of a Highly Sensitive Person's Response. | Linh Tran, Jan Treur, Denice J. Tuinhof |