Linh Tran

According to our database, Linh Tran authored at least 33 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Representation Learning for Sequential Volumetric Design Tasks.

Md Ferdous Alam, Yi Wang, Linh Tran, Chin-Yi Cheng, Jieliang Luo

CoRR, 2023

Acoustic Feedback Cancellation using the Variable Step Size Affine Projection Tanh Algorithm.

Felix Albu, Linh Tran, S. Radhika, A. Chandrasekar

Proceedings of the IEEE Statistical Signal Processing Workshop, 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

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Generalizable Pose Estimation Using Implicit Scene Representations.

Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Cauchy-Schwarz Regularized Autoencoder.

Linh Tran, Maja Pantic, Marc Peter Deisenroth

J. Mach. Learn. Res., 2022

Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network.

Linh Tran, Alessio Bonti, Lianhua Chi, Mohamed Abdelrazek, Yi-Ping Phoebe Chen

Expert Syst. Appl., 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

Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders.

Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

COIL: Constrained optimization in learned latent space: learning representations for valid solutions.

Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Group-disentangled Representation Learning with Weakly-Supervised Regularization.

Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari Taghanaki

CoRR, 2021

Noise-robust classification with hypergraph neural network.

Nguyen Trinh Vu Dang, Loc Tran, Linh Tran

CoRR, 2021

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

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

Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

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

Proceedings of The 12th Language Resources and Evaluation Conference, 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

Proceedings of the 37th International Conference on Machine Learning, 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

Proceedings of the 37th International Conference on Machine Learning, 2020

A functional proof pearl: inverting the Ackermann hierarchy.

Linh Tran, Anshuman Mohan, Aquinas Hobor

Proceedings of the 9th ACM SIGPLAN International Conference on Certified Programs and Proofs, 2020

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

To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods.

Loc Tran, Linh Tran

CoRR, 2019

Solve fraud detection problem by using graph based learning methods.

Loc Tran, Tuan Tran, Linh Tran, An Mai

CoRR, 2019

Learning to Infer Entities, Properties and their Relations from Clinical Conversations.

Nan Du, Mingqiu Wang, Linh Tran, Gang Li, Izhak Shafran

CoRR, 2019

Learning to Infer Entities, Properties and their Relations from Clinical Conversations.

Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Extracting Symptoms and their Status from Clinical Conversations.

Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A Network-Oriented Adaptive Agent Model for Learning Regulation of a Highly Sensitive Person's Response.

Linh Tran, Jan Treur, Denice J. Tuinhof

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

GAGAN: Geometry-Aware Generative Adversarial Networks.

Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

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

Proceedings of the 46th IEEE International Symposium on Multiple-Valued Logic, 2016

2014

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

2013

Resolving Named Entity Unknown Word in Chinese-Vietnamese Machine Translation.

Phuoc Tran, Dien Dinh, Linh Tran

Proceedings of the Knowledge and Systems Engineering, 2013

Synthesis of Reversible Circuits Based on Products of Exclusive OR Sums.

Ben Schaeffer, Linh Tran, Addison Gronquist, Marek A. Perkowski, Pawel Kerntopf

Proceedings of the 43rd IEEE International Symposium on Multiple-Valued Logic, 2013