Linh Le

According to our database, Linh Le authored at least 54 papers between 2016 and 2026.

Collaborative distances:

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

2026

Diagnosing Pathological Chain-of-Thought in Reasoning Models.

Manqing Liu, David Williams-King, Ida Caspary, Linh Le, Hannes Whittingham, Puria Radmard, Cameron Tice, Edward James Young

CoRR, February, 2026

From object difficulty to image scoring: A strategy for active learning in object detection.

Duc Tai Phan, Nhut Minh Nguyen, Khang Phuc Nguyen, Phuong-Nam Tran, Nhat Truong Pham, Linh Le, Choong Seon Hong, Duc Ngoc Minh Dang

Knowl. Based Syst., 2026

Enhancing multimodal emotion recognition with dynamic fuzzy membership and attention fusion.

Nhut Minh Nguyen, Trung Minh Nguyen, Thanh Trung Nguyen, Phuong-Nam Tran, Nhat Truong Pham, Linh Le, Alice Othmani, Abdulmotaleb El Saddik, Duc Ngoc Minh Dang

Eng. Appl. Artif. Intell., 2026

Explainable AI for Dementia Detection Using EEG Microstates.

Quoc-Toan Nguyen, Linh Le, David Williams-King, Quang-Hieu Tang, Nghia Duong-Trung

Proceedings of the Companion Proceedings of the 31st International Conference on Intelligent User Interfaces, 2026

2025

Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition.

Linh Le, Guido Zuccon, Gianluca Demartini, Genghong Zhao, Xia Zhang

CoRR, March, 2025

Representation Engineering for Large-Language Models: Survey and Research Challenges.

Lukasz Bartoszcze, Sarthak Munshi, Bryan Sukidi, Jennifer Yen, Zejia Yang, David Williams-King, Linh Le, Kosi Asuzu, Carsten Maple

CoRR, February, 2025

Can ChatGPT Diagnose Alzheimer's Disease?

Quoc Toan Nguyen, Linh Le, Xuan-The Tran, Thomas Tien-Thong Do, Chin-Teng Lin

CoRR, February, 2025

Can Safety Fine-Tuning Be More Principled? Lessons Learned from Cybersecurity.

David Williams-King, Linh Le, Adam Oberman, Yoshua Bengio

CoRR, January, 2025

A Metric-Based Detection System for Large Language Model Texts.

Linh Le, Dung Tran

ACM Trans. Manag. Inf. Syst., 2025

Exploring the Dynamics of Less Frequent Social Media Usage.

Anh Ta, Quynh Nguyen, Steven Schulz, Linh Le

Australas. J. Inf. Syst., 2025

Emotion Recognition Using Text Embedding Models: Wearable and Wireless EEG Without Fixed EEG Channel Configurations.

Quoc-Toan Nguyen, Huiru Zheng, Tahia Tazin, Linh Le, Tuan L. Vo, Nhu-Tri Tran, David Williams-King, Benjamin Tag

Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

Dynamic Knowledge Elicitation: Leveraging Student Feedback for Improved Language Model Distillation.

Reuven Muller, Ying Xie, Linh Le, Shaoen Wu

Proceedings of the International Joint Conference on Neural Networks, 2025

Privacy-Preserving Model Compression: Adaptive Pruning for Federated Split Learning of LLMs.

Dinesh Chowdary Attota, Linh Le, Ying Xie

Proceedings of the International Conference on Machine Learning and Applications, 2025

Learning Disorder Detection Using Eye Tracking: Are Large Language Models Better Than Machine Learning?

Quoc-Toan Nguyen, Hy Nguyen, Quang-Hieu Tang, Tien Truong, Van-Tuan Pham, Linh Le, David Williams-King

Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, 2025

Time-Series Grid Encoding of Eye-Tracking Data for Explainable AI in Dyslexia Detection.

Linh Le, Quoc Toan Nguyen, Nghia Duong-Trung, David Williams-King

Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, 2025

An Investigation of Data Granularity in RAG Pipelines for Personalized Medicine.

Paritosh Pandey, Xin Shirley Tian, Shaoen Wu, Linh Le

Proceedings of the IEEE International Conference on Big Data, 2025

Transforming Brainwaves into Language: EEG Microstates Meet Text Embedding Models for Dementia Detection.

Quoc-Toan Nguyen, Linh Le, Xuan-The Tran, Dorothy Bai, Nghia Duong-Trung, Thomas Do, Chin-Teng Lin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025

2024

MELArt Experiments.

Alejandro Sierra Múnera, Linh Le, Gianluca Demartini, Ralf Krestel

Dataset, December, 2024

MELArt Dataset Generation.

Alejandro Sierra Múnera, Linh Le, Gianluca Demartini, Ralf Krestel

Dataset, December, 2024

MELArt: A Multimodal Entity Linking Dataset for Art.

Alejandro Sierra Múnera, Linh Le, Gianluca Demartini, Ralf Krestel

TGDK, 2024

EEG-SSM: Leveraging State-Space Model for Dementia Detection.

Xuan-The Tran, Linh Le, Quoc Toan Nguyen, Thomas Tien-Thong Do, Chin-Teng Lin

CoRR, 2024

Stochastic Featurization for Active Learning.

Linh Le, Minh-Tien Nguyen, Khai Phan Tran, Genghong Zhao, Xia Zhang, Guido Zuccon, Gianluca Demartini

Proceedings of the Trustworthy Artificial Intelligence for Healthcare, 2024

Target Permutation for Feature Significance and Applications in Neural Networks.

Sanad Biswas, Nina Grundlingh, Jonathan Boardman, Joseph White, Linh Le

Proceedings of the International Conference on Machine Learning and Applications, 2024

FairAD-XAI: Evaluation Framework for Explainable AI Methods in Alzheimer's Disease Detection with Fairness-in-the-loop.

Quoc-Toan Nguyen, Linh Le, Xuan-The Tran, Thomas Do, Chin-Teng Lin

Proceedings of the Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024

On Text Granularity and Metric Frameworks for Large Language Model Content Detection.

Linh Le, Dung Tran

Proceedings of the IEEE International Conference on Big Data, 2024

CoLAL: Co-learning Active Learning for Text Classification.

Linh Le, Genghong Zhao, Xia Zhang, Guido Zuccon, Gianluca Demartini

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

An Efficient Hybrid Webshell Detection Method for Webserver of Marine Transportation Systems.

Ha Viet Le, Tu N. Nguyen, Hoa Ngoc Nguyen, Linh Le

IEEE Trans. Intell. Transp. Syst., February, 2023

Active learning with feature matching for clinical named entity recognition.

Linh Le, Gianluca Demartini, Guido Zuccon, Genghong Zhao, Xia Zhang

Nat. Lang. Process. J., 2023

Improving Classification Performance on Rare Events in Data Starved Medical Applications.

Wan D. Bae, Angelo Alfonso, David Stanko, Lili Hao, Linh Le, Matthew Horak

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

2022

Guest Editorial: Deep Learning Assisted Visual IoT Technologies for Critical Infrastructure Protection.

Tu Nguyen, Linh Le, Vincenzo Piuri, Brij B. Gupta, Lianyong Qi, Shahid Mumtaz, Huang-Chen Lee

IEEE Internet Things Mag., 2022

Efficient Embedding VNFs in 5G Network Slicing: A Deep Reinforcement Learning Approach.

Linh Le, Tu N. Nguyen, Kun Suo, Jing He

CoRR, 2022

A Multiple-Entanglement Routing Framework for Quantum Networks.

Tu N. Nguyen, Kashyab J. Ambarani, Linh Le, Ivan B. Djordjevic, Zhi-Li Zhang

CoRR, 2022

5G network slicing and drone-assisted applications: a deep reinforcement learning approach.

Linh Le, Tu N. Nguyen, Kun Suo, Jing (Selena) He

Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2022

Entanglement Routing For Quantum Networks: A Deep Reinforcement Learning Approach.

Linh Le, Tu N. Nguyen, Ahyoung Lee, Braulio Dumba

Proceedings of the IEEE International Conference on Communications, 2022

Leveraging Semantic Type Dependencies for Medical Named Entity Recognition.

Linh Le, Guido Zuccon, Genghong Zhao, Gianluca Demartini, Xia Zhang

Proceedings of the AMIA 2022, 2022

2021

KNN Loss and Deep KNN.

Linh Le, Ying Xie, Vijay Raghavan

Fundam. Informaticae, 2021

RAS: Continuously Optimized Region-Wide Datacenter Resource Allocation.

Andrew Newell, Dimitrios Skarlatos, Jingyuan Fan, Pavan Kumar, Maxim Khutornenko, Mayank Pundir, Yirui Zhang, Mingjun Zhang, Yuanlai Liu, Linh Le, Brendon Daugherty, Apurva Samudra, Prashasti Baid, James Kneeland, Igor Kabiljo, Dmitry Shchukin, Andre Rodrigues, Scott Michelson, Ben Christensen, Kaushik Veeraraghavan, Chunqiang Tang

Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

Retrieving and Classifying LinkedIn Job Titles for Alumni Career Analysis.

Lei Li, Svetlana Peltsverger, Jack Zheng, Linh Le, Michael Steven Handlin

Proceedings of the SIGITE '21: The 22nd Annual Conference on Information Technology Education, SnowBird, UT, USA, October 6, 2021

One-Class Self-Attention Model for Anomaly Detection in Manufacturing Lines.

Linh Le, Srivatsa Mallapragada, Shashank Hebbar, David A. Guerra-Zubiaga

Proceedings of the Intelligent Systems and Applications, 2021

Comparison Between Active and Passive Attention Using EEG Waves and Deep Neural Network.

Sumit Chakravarty, Ying Xie, Linh Le, John Johnson, Michael Hales

Proceedings of the Brain Informatics - 14th International Conference, 2021

Analysis of Students' Concentration Levels for Online Learning Using Webcam Feeds.

Linh Le, Ying Xie, Sumit Chakravarty, Michael Hales, John Johnson, Tu N. Nguyen

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites.

Duc-Trong Le, Xuan-Son Vu, Nhu-Dung To, Huu-Quang Nguyen, Thuy-Trinh Nguyen, Linh Le, Anh-Tuan Nguyen, Minh-Duc Hoang, Nghia Le, Huyen Nguyen, Hoang D. Nguyen

CoRR, 2020

Federated Artificial Intelligence for Unified Credit Assessment.

Minh-Duc Hoang, Linh Le, Anh-Tuan Nguyen, Trang Le, Hoang D. Nguyen

Proceedings of the Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing, 2020

Deep Pose Alignment.

Linh Le, Ying Xie, Saisangararamaleengam Alagapan, Sumit Chakravarty, Pablo Ordóñez, Michael Hales, John Johnson

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Deep embedding kernel.

Linh Le, Ying Xie

Neurocomputing, 2019

The Complexity of Finding <i>S</i>-factors in Regular Graphs.

Sanjana Kolisetty, Linh Le, Ilya Volkovich, Mihalis Yannakakis

Electron. Colloquium Comput. Complex., 2019

Link Prediction Based Minimum Cost and Balanced Partition of Large Online Social Networks.

Romas James Hada, Miao Jin, Ying Xie, Linh Le

Proceedings of the 18th IEEE International Symposium on Network Computing and Applications, 2019

The Complexity of Finding S-Factors in Regular Graphs.

Sanjana Kolisetty, Linh Le, Ilya Volkovich, Mihalis Yannakakis

Proceedings of the 39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2019

2018

Neural network-based adaptive tracking control for a nonholonomic wheeled mobile robot with unknown wheel slips, model uncertainties, and unknown bounded disturbances.

Tinh Nguyen, Linh Le

Turkish J. Electr. Eng. Comput. Sci., 2018

Deep Similarity-Enhanced K Nearest Neighbors.

Linh Le, Ying Xie, Vijay V. Raghavan

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Recurrent Embedding Kernel for Predicting Stock Daily Direction.

Linh Le, Ying Xie

Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018

2017

Unsupervised deep kernel for high dimensional data.

Ying Xie, Linh Le, Jie Hao

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Visualization of big high dimensional data in a three dimensional space.

Ying Xie, Pooja Chenna, Jing (Selena) He, Linh Le, Jacey Planteen

Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016

Deep kernel: learning kernel function from data using deep neural network.

Linh Le, Jie Hao, Ying Xie, Jennifer L. Priestley

Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016