default search action
Linh Tran
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j6]Huy-Ngoc Duong
, Linh Tran
A Global Optimal Benchmark for Energy Management of Microgrid (GoBuG) Integrating Hybrid Energy Storage System. IEEE Trans. Smart Grid 15(6): 5429-5440 (2024) - [c21]Linh Tran, Sanjay Chari, Md. Saikat Islam Khan, Aaron Zachariah, Stacy Patterson, Oshani Seneviratne:
A Differentially Private Blockchain-Based Approach for Vertical Federated Learning. DAPPS 2024: 86-92 - [i20]Linh Tran, Sanjay Chari, Md. Saikat Islam Khan, Aaron Zachariah, Stacy Patterson, Oshani Seneviratne:
A Differentially Private Blockchain-Based Approach for Vertical Federated Learning. CoRR abs/2407.07054 (2024) - 2023
- [j5]Linh Tran:
Integration of neural network and distance relay to improve the fault localization on transmission lines. Turkish J. Electr. Eng. Comput. Sci. 31(3): 566-580 (2023) - [c20]Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga:
Generalizable Pose Estimation Using Implicit Scene Representations. ICRA 2023: 2869-2875 - [c19]Quang-Manh Bui, Linh Tran, Thanh Vo-Duy
Frequency Response of Grid-Forming and Following Inverters-Based Microgrid Supplied by Onshore Electrified Ships. IECON 2023: 1-6 - [c18]Felix Albu, Linh Tran, S. Radhika, A. Chandrasekar:
Acoustic Feedback Cancellation using the Variable Step Size Affine Projection Tanh Algorithm. SSP 2023: 522-526 - [i19]Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga:
Generalizable Pose Estimation Using Implicit Scene Representations. CoRR abs/2305.17252 (2023) - [i18]Md Ferdous Alam, Yi Wang, Linh Tran, Chin-Yi Cheng, Jieliang Luo:
Representation Learning for Sequential Volumetric Design Tasks. CoRR abs/2309.02583 (2023) - 2022
- [j4]Linh Tran, Alessio Bonti
Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network. Expert Syst. Appl. 203: 117393 (2022) - [j3]Linh Tran, Maja Pantic, Marc Peter Deisenroth:
Cauchy-Schwarz Regularized Autoencoder. J. Mach. Learn. Res. 23: 115:1-115:37 (2022) - [c17]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
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. CVPR 2022: 15828-15839 - [c16]Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran:
COIL: Constrained optimization in learned latent space: learning representations for valid solutions. GECCO Companion 2022: 1870-1877 - [c15]Hang Chu, Amir Hosein Khasahmadi, Karl D. D. Willis, Fraser Anderson, Yaoli Mao, Linh Tran, Justin Matejka, Jo Vermeulen:
SimCURL: Simple Contrastive User Representation Learning from Command Sequences. ICMLA 2022: 1143-1150 - [c14]Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh:
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. NeurIPS 2022 - [c13]Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran:
Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders. PPSN (1) 2022: 371-384 - [i17]Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran:
COIL: Constrained Optimization in Learned Latent Space - Learning Representations for Valid Solutions. CoRR abs/2202.02163 (2022) - [i16]Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani:
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. CoRR abs/2207.01548 (2022) - [i15]Hang Chu, Amir Hosein Khasahmadi, Karl D. D. Willis, Fraser Anderson, Yaoli Mao, Linh Tran, Justin Matejka, Jo Vermeulen:
SimCURL: Simple Contrastive User Representation Learning from Command Sequences. CoRR abs/2207.14760 (2022) - [i14]Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh:
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. CoRR abs/2210.00055 (2022) - 2021
- [i13]Linh Tran, Maja Pantic, Marc Peter Deisenroth:
Cauchy-Schwarz Regularized Autoencoder. CoRR abs/2101.02149 (2021) - [i12]Nguyen Trinh Vu Dang, Loc Tran, Linh Tran:
Noise-robust classification with hypergraph neural network. CoRR abs/2102.01934 (2021) - [i11]Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari Taghanaki:
Group-disentangled Representation Learning with Weakly-Supervised Regularization. CoRR abs/2110.12185 (2021) - [i10]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:
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. CoRR abs/2111.12772 (2021) - 2020
- [c12]Linh Tran, Anshuman Mohan
A functional proof pearl: inverting the Ackermann hierarchy. CPP 2020: 129-142 - [c11]Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin:
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. ICML 2020: 9289-9299 - [c10]Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin:
How Good is the Bayes Posterior in Deep Neural Networks Really? ICML 2020: 10248-10259 - [c9]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:
The Medical Scribe: Corpus Development and Model Performance Analyses. LREC 2020: 2036-2044 - [c8]Tuan Nguyen, Dat Ngo, Lam Pham
A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification. RIVF 2020: 1-5 - [i9]Linh Tran, Bastiaan S. Veeling, Kevin Roth, Jakub Swiatkowski, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Sebastian Nowozin, Rodolphe Jenatton:
Hydra: Preserving Ensemble Diversity for Model Distillation. CoRR abs/2001.04694 (2020) - [i8]Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin:
How Good is the Bayes Posterior in Deep Neural Networks Really? CoRR abs/2002.02405 (2020) - [i7]Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin:
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. CoRR abs/2002.02655 (2020) - [i6]Izhak Shafran, Nan Du, Linh Tran, Amanda Perry
The Medical Scribe: Corpus Development and Model Performance Analyses. CoRR abs/2003.11531 (2020)
2010 – 2019
- 2019
- [j2]Linh Tran
Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks. Int. J. Comput. Vis. 127(6-7): 824-844 (2019) - [c7]Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran:
Extracting Symptoms and their Status from Clinical Conversations. ACL (1) 2019: 915-925 - [c6]Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran:
Learning to Infer Entities, Properties and their Relations from Clinical Conversations. EMNLP/IJCNLP (1) 2019: 4978-4989 - [i5]Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran:
Extracting Symptoms and their Status from Clinical Conversations. CoRR abs/1906.02239 (2019) - [i4]Nan Du, Mingqiu Wang, Linh Tran, Gang Li, Izhak Shafran:
Learning to Infer Entities, Properties and their Relations from Clinical Conversations. CoRR abs/1908.11536 (2019) - [i3]Loc Tran, Tuan Tran, Linh Tran, An Mai:
Solve fraud detection problem by using graph based learning methods. CoRR abs/1908.11708 (2019) - [i2]Loc Tran, Linh Tran:
To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods. CoRR abs/1909.08964 (2019) - 2018
- [c5]Jean Kossaifi
GAGAN: Geometry-Aware Generative Adversarial Networks. CVPR 2018: 878-887 - [c4]Linh Tran, Jan Treur
A Network-Oriented Adaptive Agent Model for Learning Regulation of a Highly Sensitive Person's Response. PAAMS 2018: 248-261 - 2017
- [i1]Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic:
GAGAN: Geometry-Aware Generative Adversarial Networks. CoRR abs/1712.00684 (2017) - 2016
- [c3]Linh Tran
An Improved Factorization Approach to Reversible Circuit Synthesis Based on EXORs of Products of EXORs. ISMVL 2016: 37-43 - 2014
- [j1]Linh Tran
Synthesis of Reversible Circuits Based on EXORs of Products of EXORs. Trans. Comput. Sci. 24: 111-128 (2014) - 2013
- [c2]Ben Schaeffer, Linh Tran
Synthesis of Reversible Circuits Based on Products of Exclusive OR Sums. ISMVL 2013: 35-40 - [c1]Phuoc Tran, Dien Dinh, Linh Tran:
Resolving Named Entity Unknown Word in Chinese-Vietnamese Machine Translation. KSE (2) 2013: 273-284
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 21:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: