Synthesis of Reversible Circuits Based on Products of Exclusive OR Sums. - Ben Schaeffer; Linh Tran; Addison Gronquist; Marek A. Perkowski; Pawel Kerntopf (ISMVL, 2013)

Resolving Named Entity Unknown Word in Chinese-Vietnamese Machine Translation. - Phuoc Tran; Dien Dinh; Linh Tran (KSE (2), 2013)

Synthesis of Reversible Circuits Based on EXORs of Products of EXORs. - Linh Tran; Ben Schaeffer; Addison Gronquist; Marek A. Perkowski; Pawel Kerntopf (Trans. Comput. Sci., 2014)

An Improved Factorization Approach to Reversible Circuit Synthesis Based on EXORs of Products of EXORs. - Linh Tran; Addison Gronquist; Marek A. Perkowski; John S. Caughman IV (ISMVL, 2016)

GAGAN: Geometry-Aware Generative Adversarial Networks. - Jean Kossaifi; Linh Tran; Yannis Panagakis; Maja Pantic (CVPR, 2018)

A Network-Oriented Adaptive Agent Model for Learning Regulation of a Highly Sensitive Person's Response. - Linh Tran; Jan Treur; Denice J. Tuinhof (PAAMS, 2018)

Extracting Symptoms and their Status from Clinical Conversations. - Nan Du 002; Kai Chen 010; Anjuli Kannan; Linh Tran; Yuhui Chen; Izhak Shafran (ACL (1), 2019)

Learning to Infer Entities, Properties and their Relations from Clinical Conversations. - Nan Du 002; Mingqiu Wang; Linh Tran; Gang Lee; Izhak Shafran (EMNLP/IJCNLP (1), 2019)

Learning to Infer Entities, Properties and their Relations from Clinical Conversations. - Nan Du 002; Mingqiu Wang; Linh Tran; Gang Li; Izhak Shafran (CoRR, 2019)

Solve fraud detection problem by using graph based learning methods. - Loc Tran; Tuan Tran; Linh Tran; An Mai (CoRR, 2019)

To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods. - Loc Tran; Linh Tran (CoRR, 2019)

Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks. - Linh Tran; Jean Kossaifi; Yannis Panagakis; Maja Pantic (Int. J. Comput. Vis., 2019)

A functional proof pearl: inverting the Ackermann hierarchy. - Linh Tran; Anshuman Mohan; Aquinas Hobor (CPP, 2020)

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 (ICML, 2020)

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 (ICML, 2020)

The Medical Scribe: Corpus Development and Model Performance Analyses. - Izhak Shafran; Nan Du 002; Linh Tran; Amanda Perry; Lauren Keyes; Mark Knichel; Ashley Domin; Lei Huang; Yuhui Chen; Gang Li; Mingqiu Wang; Laurent El Shafey; et al. (LREC, 2020)

A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification. - Tuan Nguyen; Dat Ngo; Lam Pham; Linh Tran; Trang Hoang (RIVF, 2020)

Hydra: Preserving Ensemble Diversity for Model Distillation. - Linh Tran; Bastiaan S. Veeling; Kevin Roth; Jakub Swiatkowski; Joshua V. Dillon; Jasper Snoek; Stephan Mandt; Tim Salimans; Sebastian Nowozin; Rodolphe Jenatton (CoRR, 2020)

Noise-robust classification with hypergraph neural network. - Nguyen Trinh Vu Dang; Loc Tran; Linh Tran (CoRR, 2021)

Group-disentangled Representation Learning with Weakly-Supervised Regularization. - Linh Tran; Amir Hosein Khasahmadi; Aditya Sanghi; Saeid Asgari Taghanaki (CoRR, 2021)

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. - Karl D. D. Willis; Pradeep Kumar Jayaraman; Hang Chu; Yunsheng Tian; Yifei Li 002; Daniele Grandi; Aditya Sanghi; Linh Tran; Joseph G. Lambourne; Armando Solar-Lezama; Wojciech Matusik (CVPR, 2022)

COIL: Constrained optimization in learned latent space: learning representations for valid solutions. - Peter J. Bentley; Soo Ling Lim; Adam Gaier; Linh Tran (GECCO Companion, 2022)

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 (ICMLA, 2022)

MaskTune: Mitigating Spurious Correlations by Forcing to Explore. - Saeid Asgari Taghanaki; Aliasghar Khani; Fereshte Khani; Ali Gholami; Linh Tran; Ali Mahdavi-Amiri; Ghassan Hamarneh (NeurIPS, 2022)

Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders. - Peter J. Bentley; Soo Ling Lim; Adam Gaier; Linh Tran (PPSN (1), 2022)

Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. - Saeid Asgari Taghanaki; Ali Gholami; Fereshte Khani; Kristy Choi; Linh Tran; Ran Zhang; Aliasghar Khani (CoRR, 2022)

Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network. - Linh Tran; Alessio Bonti; Lianhua Chi; Mohamed Abdelrazek 001; Yi-Ping Phoebe Chen (Expert Syst. Appl., 2022)

Cauchy-Schwarz Regularized Autoencoder. - Linh Tran; Maja Pantic; Marc Peter Deisenroth (J. Mach. Learn. Res., 2022)

Generalizable Pose Estimation Using Implicit Scene Representations. - Vaibhav Saxena; Kamal Rahimi Malekshan; Linh Tran; Yotto Koga (ICRA, 2023)

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 (IECON, 2023)

Acoustic Feedback Cancellation using the Variable Step Size Affine Projection Tanh Algorithm. - Felix Albu; Linh Tran; S. Radhika; A. Chandrasekar 002 (SSP, 2023)

Representation Learning for Sequential Volumetric Design Tasks. - Md Ferdous Alam; Yi Wang; Linh Tran; Chin-Yi Cheng; Jieliang Luo (CoRR, 2023)

Integration of neural network and distance relay to improve the fault localization on transmission lines. - Linh Tran (Turkish J. Electr. Eng. Comput. Sci., 2023)

A Differentially Private Blockchain-Based Approach for Vertical Federated Learning. - Linh Tran; Sanjay Chari; Md. Saikat Islam Khan; Aaron Zachariah; Stacy Patterson; Oshani Seneviratne (DAPPS, 2024)

Modeling of Hybrid Power Systems Combining Grid-Following and Grid-Forming Inverters Using Energetic Macroscopic Representation. - Khanh-Linh Dang; Linh Tran; Thanh Vo-Duy; Minh C. Ta; João Pedro F. Trovão; Bao-Huy Nguyen (ICCAIS, 2024)

Performance Evaluation of Fault Ride-Through Strategies for Wind Power Plant Type 4. - Phi-Hung Nguyen; Ngoc-Lam Vu; Thanh Vo-Duy; Linh Tran; João Pedro F. Trovão; Bao-Huy Nguyen (ICCAIS, 2024)

Leveraging Automatically Optimized Forecasters and Large Language Model for Predicting Vietnamese Rice Export Price. - Hung Phan; Vy Nguyen; Vu Vo; Nhat-Quang Tran; Linh Tran; Son Dao; Hiep Pham (RIVF, 2024)

A Global Optimal Benchmark for Energy Management of Microgrid (GoBuG) Integrating Hybrid Energy Storage System. - Huy-Ngoc Duong; Linh Tran; Tuyen Vu; Thanh Vo-Duy; Bao-Huy Nguyen (IEEE Trans. Smart Grid, 2024)

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models. - Linh Tran; Wei Sun; Stacy Patterson; Ana L. Milanova (ICLR, 2025)

PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy. - Linh Tran; Timothy Castiglia; Stacy Patterson; Ana L. Milanova (CoRR, 2025)