Linh Tran - RankMe

60 papers A* 8B 3C 2Misc 1Journal 33Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Small-signal stability analysis of mixed power system integrating grid forming and following inverters-based resources. Math. Comput. Simul. Huy-Ngoc Duong, Linh Tran, Thanh Vo-Duy, João Pedro F. Trovão, Bao-Huy Nguyen
2025	B	`conf`	Assessing Historical Structural Oppression Worldwide via Rule-Guided Prompting of Large Language Models. IEEE Big Data Sreejato Chatterjee, Linh Tran, Quoc Duy Nguyen, Roni Kirson, Drue Hamlin, Harvest Aquino, Hanjia Lyu, Jiebo Luo, Timothy Dye
2025	J	`jnl`	Assessing Historical Structural Oppression Worldwide via Rule-Guided Prompting of Large Language Models. CoRR Sreejato Chatterjee, Linh Tran, Quoc Duy Nguyen, Roni Kirson, Drue Hamlin, Harvest Aquino, Hanjia Lyu, Jiebo Luo, Timothy Dye
2025	A*	`conf`	Audio Driven Real-Time Facial Animation for Social Telepresence. SIGGRAPH Asia Jiye Lee, Chenghui Li, Linh Tran, Shih-En Wei, Jason M. Saragih, Alexander Richard, Hanbyul Joo, Shaojie Bai
2025	J	`jnl`	Audio Driven Real-Time Facial Animation for Social Telepresence. CoRR Jiye Lee, Chenghui Li, Linh Tran, Shih-En Wei, Jason M. Saragih, Alexander Richard, Hanbyul Joo, Shaojie Bai
2025	J	`jnl`	Contrastive Retrieval Heads Improve Attention-Based Re-Ranking. CoRR Linh Tran, Yulong Li, Radu Florian, Wei Sun
2025	J	`jnl`	Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation. CoRR Junyoung Seo, Rodrigo Mira, Alexandros Haliassos, Stella Bounareli, Honglie Chen, Linh Tran, Seungryong Kim, Zoe Landgraf, Jie Shen
2025	J	`jnl`	PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy. CoRR Linh Tran, Timothy Castiglia, Stacy Patterson, Ana L. Milanova
2025	A*	`conf`	Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models. ICLR Linh Tran, Wei Sun, Stacy Patterson, Ana L. Milanova
2025	J	`jnl`	Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models. CoRR Linh Tran, Wei Sun, Stacy Patterson, Ana L. Milanova
2024	—	`conf`	A Differentially Private Blockchain-Based Approach for Vertical Federated Learning. DAPPS Linh Tran, Sanjay Chari, Md. Saikat Islam Khan, Aaron Zachariah, Stacy Patterson, Oshani Seneviratne
2024	J	`jnl`	A Differentially Private Blockchain-Based Approach for Vertical Federated Learning. CoRR Linh Tran, Sanjay Chari, Md. Saikat Islam Khan, Aaron Zachariah, Stacy Patterson, Oshani Seneviratne
2024	J	`jnl`	A Global Optimal Benchmark for Energy Management of Microgrid (GoBuG) Integrating Hybrid Energy Storage System. IEEE Trans. Smart Grid Huy-Ngoc Duong, Linh Tran, Tuyen Vu, Thanh Vo-Duy, Bao-Huy Nguyen
2024	—	`conf`	Leveraging Automatically Optimized Forecasters and Large Language Model for Predicting Vietnamese Rice Export Price. RIVF Hung Phan, Vy Nguyen, Vu Vo, Nhat-Quang Tran, Linh Tran, Son Vu Truong Dao, Hiep Pham
2024	—	`conf`	Modeling of Hybrid Power Systems Combining Grid-Following and Grid-Forming Inverters Using Energetic Macroscopic Representation. ICCAIS Khanh-Linh Dang, Linh Tran, Thanh Vo-Duy, Minh C. Ta, João Pedro F. Trovão, Bao-Huy Nguyen
2024	—	`conf`	Performance Evaluation of Fault Ride-Through Strategies for Wind Power Plant Type 4. ICCAIS Phi-Hung Nguyen, Ngoc-Lam Vu, Thanh Vo-Duy, Linh Tran, João Pedro F. Trovão, Bao-Huy Nguyen
2023	—	`conf`	Acoustic Feedback Cancellation using the Variable Step Size Affine Projection Tanh Algorithm. SSP Felix Albu, Linh Tran, S. Radhika, A. Chandrasekar
2023	C	`conf`	Frequency Response of Grid-Forming and Following Inverters-Based Microgrid Supplied by Onshore Electrified Ships. IECON Quang-Manh Bui, Linh Tran, Thanh Vo-Duy, Tuyen Vu, Bao-Huy Nguyen
2023	A*	`conf`	Generalizable Pose Estimation Using Implicit Scene Representations. ICRA Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga
2023	J	`jnl`	Generalizable Pose Estimation Using Implicit Scene Representations. CoRR Vaibhav Saxena, Kamal Rahimi Malekshan, Linh Tran, Yotto Koga
2023	J	`jnl`	Integration of neural network and distance relay to improve the fault localization on transmission lines. Turkish J. Electr. Eng. Comput. Sci. Linh Tran
2023	J	`jnl`	Representation Learning for Sequential Volumetric Design Tasks. CoRR Md Ferdous Alam, Yi Wang, Linh Tran, Chin-Yi Cheng, Jieliang Luo
2022	J	`jnl`	Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network. Expert Syst. Appl. Linh Tran, Alessio Bonti, Lianhua Chi, Mohamed Abdelrazek, Yi-Ping Phoebe Chen
2022	J	`jnl`	COIL: Constrained Optimization in Learned Latent Space - Learning Representations for Valid Solutions. CoRR Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran
2022	—	`conf`	COIL: Constrained optimization in learned latent space: learning representations for valid solutions. GECCO Companion Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran
2022	J	`jnl`	Cauchy-Schwarz Regularized Autoencoder. J. Mach. Learn. Res. Linh Tran, Maja Pantic, Marc Peter Deisenroth
2022	J	`jnl`	Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. CoRR Saeid Asgari Taghanaki, Ali Gholami, Fereshte Khani, Kristy Choi, Linh Tran, Ran Zhang, Aliasghar Khani
2022	—	`conf`	Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders. PPSN (1) Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran
2022	A*	`conf`	JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. CVPR 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	A*	`conf`	MaskTune: Mitigating Spurious Correlations by Forcing to Explore. NeurIPS Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh
2022	J	`jnl`	MaskTune: Mitigating Spurious Correlations by Forcing to Explore. CoRR Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh
2022	C	`conf`	SimCURL: Simple Contrastive User Representation Learning from Command Sequences. ICMLA Hang Chu, Amir Hosein Khasahmadi, Karl D. D. Willis, Fraser Anderson, Yaoli Mao, Linh Tran, Justin Matejka, Jo Vermeulen
2022	J	`jnl`	SimCURL: Simple Contrastive User Representation Learning from Command Sequences. CoRR Hang Chu, Amir Hosein Khasahmadi, Karl D. D. Willis, Fraser Anderson, Yaoli Mao, Linh Tran, Justin Matejka, Jo Vermeulen
2021	J	`jnl`	Cauchy-Schwarz Regularized Autoencoder. CoRR Linh Tran, Maja Pantic, Marc Peter Deisenroth
2021	J	`jnl`	Group-disentangled Representation Learning with Weakly-Supervised Regularization. CoRR Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari Taghanaki
2021	J	`jnl`	JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. CoRR 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
2021	J	`jnl`	Noise-robust classification with hypergraph neural network. CoRR Nguyen Trinh Vu Dang, Loc Tran, Linh Tran
2020	—	`conf`	A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification. RIVF Tuan Nguyen, Dat Ngo, Lam Pham, Linh Tran, Trang Hoang
2020	B	`conf`	A functional proof pearl: inverting the Ackermann hierarchy. CPP Linh Tran, Anshuman Mohan, Aquinas Hobor
2020	A*	`conf`	How Good is the Bayes Posterior in Deep Neural Networks Really? ICML Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
2020	J	`jnl`	How Good is the Bayes Posterior in Deep Neural Networks Really? CoRR Florian Wenzel, Kevin Roth, Bastiaan S. Veeling, Jakub Swiatkowski, Linh Tran, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
2020	J	`jnl`	Hydra: Preserving Ensemble Diversity for Model Distillation. CoRR Linh Tran, Bastiaan S. Veeling, Kevin Roth, Jakub Swiatkowski, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Sebastian Nowozin, Rodolphe Jenatton
2020	B	`conf`	The Medical Scribe: Corpus Development and Model Performance Analyses. LREC 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
2020	J	`jnl`	The Medical Scribe: Corpus Development and Model Performance Analyses. CoRR 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
2020	A*	`conf`	The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. ICML Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
2020	J	`jnl`	The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks. CoRR Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Stephan Mandt, Jasper Snoek, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin
2019	J	`jnl`	Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks. Int. J. Comput. Vis. Linh Tran, Jean Kossaifi, Yannis Panagakis, Maja Pantic
2019	—	`conf`	Extracting Symptoms and their Status from Clinical Conversations. ACL (1) Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran
2019	J	`jnl`	Extracting Symptoms and their Status from Clinical Conversations. CoRR Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran
2019	—	`conf`	Learning to Infer Entities, Properties and their Relations from Clinical Conversations. EMNLP/IJCNLP (1) Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran
2019	J	`jnl`	Learning to Infer Entities, Properties and their Relations from Clinical Conversations. CoRR Nan Du, Mingqiu Wang, Linh Tran, Gang Li, Izhak Shafran
2019	J	`jnl`	Solve fraud detection problem by using graph based learning methods. CoRR Loc Tran, Tuan Tran, Linh Tran, An Mai
2019	J	`jnl`	To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods. CoRR Loc Tran, Linh Tran
2018	Misc	`conf`	A Network-Oriented Adaptive Agent Model for Learning Regulation of a Highly Sensitive Person's Response. PAAMS Linh Tran, Jan Treur, Denice J. Tuinhof
2018	A*	`conf`	GAGAN: Geometry-Aware Generative Adversarial Networks. CVPR Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic
2017	J	`jnl`	GAGAN: Geometry-Aware Generative Adversarial Networks. CoRR Jean Kossaifi, Linh Tran, Yannis Panagakis, Maja Pantic
2016	—	`conf`	An Improved Factorization Approach to Reversible Circuit Synthesis Based on EXORs of Products of EXORs. ISMVL Linh Tran, Addison Gronquist, Marek A. Perkowski, John S. Caughman IV
2014	J	`jnl`	Synthesis of Reversible Circuits Based on EXORs of Products of EXORs. Trans. Comput. Sci. Linh Tran, Ben Schaeffer, Addison Gronquist, Marek A. Perkowski, Pawel Kerntopf
2013	—	`conf`	Resolving Named Entity Unknown Word in Chinese-Vietnamese Machine Translation. KSE (2) Phuoc Tran, Dien Dinh, Linh Tran
2013	—	`conf`	Synthesis of Reversible Circuits Based on Products of Exclusive OR Sums. ISMVL Ben Schaeffer, Linh Tran, Addison Gronquist, Marek A. Perkowski, Pawel Kerntopf