Linh Le

52 papers A* 2B 7C 5Misc 2Journal 21Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Diagnosing Pathological Chain-of-Thought in Reasoning Models.
CoRR
Manqing Liu, David Williams-King, Ida Caspary, Linh Le, Hannes Whittingham, Puria Radmard, Cameron Tice, Edward James Young
2026 J jnl
Enhancing multimodal emotion recognition with dynamic fuzzy membership and attention fusion.
Eng. Appl. Artif. Intell.
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
2026 — conf
Explainable AI for Dementia Detection Using EEG Microstates.
IUI Companion
Quoc-Toan Nguyen, Linh Le, David Williams-King, Quang-Hieu Tang, Nghia Duong-Trung
2025 J jnl
A Metric-Based Detection System for Large Language Model Texts.
ACM Trans. Manag. Inf. Syst.
Linh Le, Dung Tran
2025 B conf
An Investigation of Data Granularity in RAG Pipelines for Personalized Medicine.
IEEE Big Data
Paritosh Pandey, Xin Shirley Tian, Shaoen Wu, Linh Le
2025 J jnl
Can ChatGPT Diagnose Alzheimer's Disease?
CoRR
Quoc Toan Nguyen, Linh Le, Xuan-The Tran, Thomas Tien-Thong Do, Chin-Teng Lin
2025 J jnl
Can Safety Fine-Tuning Be More Principled? Lessons Learned from Cybersecurity.
CoRR
David Williams-King, Linh Le, Adam Oberman, Yoshua Bengio
2025 B conf
Dynamic Knowledge Elicitation: Leveraging Student Feedback for Improved Language Model Distillation.
IJCNN
Reuven Muller, Ying Xie, Linh Le, Shaoen Wu
2025 — conf
Emotion Recognition Using Text Embedding Models: Wearable and Wireless EEG Without Fixed EEG Channel Configurations.
UMAP (Adjunct Publication)
Quoc-Toan Nguyen, Huiru Zheng, Tahia Tazin, Linh Le, Tuan L. Vo, Nhu-Tri Tran, David Williams-King, Benjamin Tag
2025 B conf
Learning Disorder Detection Using Eye Tracking: Are Large Language Models Better Than Machine Learning?
ETRA
Quoc-Toan Nguyen, Hy Nguyen, Quang-Hieu Tang, Tien Truong, Van-Tuan Pham, Linh Le, David Williams-King
2025 J jnl
Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition.
CoRR
Linh Le, Guido Zuccon, Gianluca Demartini, Genghong Zhao, Xia Zhang
2025 C conf
Privacy-Preserving Model Compression: Adaptive Pruning for Federated Split Learning of LLMs.
ICMLA
Dinesh Chowdary Attota, Linh Le, Ying Xie
2025 J jnl
Representation Engineering for Large-Language Models: Survey and Research Challenges.
CoRR
Lukasz Bartoszcze, Sarthak Munshi, Bryan Sukidi, Jennifer Yen, Zejia Yang, David Williams-King, Linh Le, Kosi Asuzu, Carsten Maple
2025 B conf
Time-Series Grid Encoding of Eye-Tracking Data for Explainable AI in Dyslexia Detection.
ETRA
Linh Le, Quoc Toan Nguyen, Nghia Duong-Trung, David Williams-King
2025 — conf
Transforming Brainwaves into Language: EEG Microstates Meet Text Embedding Models for Dementia Detection.
ACL (4)
Quoc-Toan Nguyen, Linh Le, Xuan-The Tran, Dorothy Bai, Nghia Duong-Trung, Thomas Do, Chin-Teng Lin
2024 A* conf
CoLAL: Co-learning Active Learning for Text Classification.
AAAI
Linh Le, Genghong Zhao, Xia Zhang, Guido Zuccon, Gianluca Demartini
2024 J jnl
EEG-SSM: Leveraging State-Space Model for Dementia Detection.
CoRR
Xuan-The Tran, Linh Le, Quoc Toan Nguyen, Thomas Tien-Thong Do, Chin-Teng Lin
2024 — conf
FairAD-XAI: Evaluation Framework for Explainable AI Methods in Alzheimer's Disease Detection with Fairness-in-the-loop.
UbiComp Companion
Quoc-Toan Nguyen, Linh Le, Xuan-The Tran, Thomas Do, Chin-Teng Lin
2024 J jnl
MELArt: A Multimodal Entity Linking Dataset for Art.
TGDK
Alejandro Sierra Múnera, Linh Le, Gianluca Demartini, Ralf Krestel
2024 B conf
On Text Granularity and Metric Frameworks for Large Language Model Content Detection.
IEEE Big Data
Linh Le, Dung Tran
2024 — conf
Stochastic Featurization for Active Learning.
TAI4H
Linh Le, Minh-Tien Nguyen, Khai Phan Tran, Genghong Zhao, Xia Zhang, Guido Zuccon, Gianluca Demartini
2024 C conf
Target Permutation for Feature Significance and Applications in Neural Networks.
ICMLA
Sanad Biswas, Nina Grundlingh, Jonathan Boardman, Joseph White, Linh Le
2023 J jnl
Active learning with feature matching for clinical named entity recognition.
Nat. Lang. Process. J.
Linh Le, Gianluca Demartini, Guido Zuccon, Genghong Zhao, Xia Zhang
2023 J jnl
An Efficient Hybrid Webshell Detection Method for Webserver of Marine Transportation Systems.
IEEE Trans. Intell. Transp. Syst.
Ha Viet Le, Tu N. Nguyen, Hoa Ngoc Nguyen, Linh Le
2023 — conf
Improving Classification Performance on Rare Events in Data Starved Medical Applications.
MeMeA
Wan D. Bae, Angelo Alfonso, David Stanko, Lili Hao, Linh Le, Matthew Horak
2022 — conf
5G network slicing and drone-assisted applications: a deep reinforcement learning approach.
DroneCom@MobiCom
Linh Le, Tu N. Nguyen, Kun Suo, Jing (Selena) He
2022 J jnl
A Multiple-Entanglement Routing Framework for Quantum Networks.
CoRR
Tu N. Nguyen, Kashyab J. Ambarani, Linh Le, Ivan B. Djordjevic, Zhi-Li Zhang
2022 J jnl
Efficient Embedding VNFs in 5G Network Slicing: A Deep Reinforcement Learning Approach.
CoRR
Linh Le, Tu N. Nguyen, Kun Suo, Jing He
2022 — conf
Entanglement Routing For Quantum Networks: A Deep Reinforcement Learning Approach.
ICC
Linh Le, Tu N. Nguyen, Ahyoung Lee, Braulio Dumba
2022 J jnl
Guest Editorial: Deep Learning Assisted Visual IoT Technologies for Critical Infrastructure Protection.
IEEE Internet Things Mag.
Tu Nguyen, Linh Le, Vincenzo Piuri, Brij B. Gupta, Lianyong Qi, Shahid Mumtaz, Huang-Chen Lee
2022 Misc conf
Leveraging Semantic Type Dependencies for Medical Named Entity Recognition.
AMIA
Linh Le, Guido Zuccon, Genghong Zhao, Gianluca Demartini, Xia Zhang
2021 — conf
Analysis of Students' Concentration Levels for Online Learning Using Webcam Feeds.
IEEE BigData
Linh Le, Ying Xie, Sumit Chakravarty, Michael Hales, John Johnson, Tu N. Nguyen
2021 — conf
Comparison Between Active and Passive Attention Using EEG Waves and Deep Neural Network.
BI
Sumit Chakravarty, Ying Xie, Linh Le, John Johnson, Michael Hales
2021 J jnl
Federated Artificial Intelligence for Unified Credit Assessment.
CoRR
Minh-Duc Hoang, Linh Le, Anh-Tuan Nguyen, Trang Le, Hoang D. Nguyen
2021 J jnl
KNN Loss and Deep KNN.
Fundam. Informaticae
Linh Le, Ying Xie, Vijay Raghavan
2021 — conf
One-Class Self-Attention Model for Anomaly Detection in Manufacturing Lines.
IntelliSys (2)
Linh Le, Srivatsa Mallapragada, Shashank Hebbar, David A. Guerra-Zubiaga
2021 A* conf
RAS: Continuously Optimized Region-Wide Datacenter Resource Allocation.
SOSP
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
2021 Misc conf
Retrieving and Classifying LinkedIn Job Titles for Alumni Career Analysis.
SIGITE
Lei Li, Svetlana Peltsverger, Jack Zheng, Linh Le, Michael Steven Handlin
2020 — conf
Deep Pose Alignment.
IEEE BigData
Linh Le, Ying Xie, Saisangararamaleengam Alagapan, Sumit Chakravarty, Pablo Ordóñez, Michael Hales, John Johnson
2020 — conf
Federated Artificial Intelligence for Unified Credit Assessment.
HCI (15)
Minh-Duc Hoang, Linh Le, Anh-Tuan Nguyen, Trang Le, Hoang D. Nguyen
2020 J jnl
ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites.
CoRR
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
2019 J jnl
Deep embedding kernel.
Neurocomputing
Linh Le, Ying Xie
2019 B conf
Link Prediction Based Minimum Cost and Balanced Partition of Large Online Social Networks.
NCA
Romas James Hada, Miao Jin, Ying Xie, Linh Le
2019 J jnl
The Complexity of Finding
Electron. Colloquium Comput. Complex.
Sanjana Kolisetty, Linh Le, Ilya Volkovich, Mihalis Yannakakis
2019 — conf
The Complexity of Finding S-Factors in Regular Graphs.
FSTTCS
Sanjana Kolisetty, Linh Le, Ilya Volkovich, Mihalis Yannakakis
2018 J jnl
Deep Embedding Kernel.
CoRR
Linh Le, Ying Xie
2018 — conf
Deep Similarity-Enhanced K Nearest Neighbors.
IEEE BigData
Linh Le, Ying Xie, Vijay V. Raghavan
2018 J jnl
Neural network-based adaptive tracking control for a nonholonomic wheeled mobile robot with unknown wheel slips, model uncertainties, and unknown bounded disturbances.
Turkish J. Electr. Eng. Comput. Sci.
Tinh Nguyen, Linh Le
2018 C conf
Recurrent Embedding Kernel for Predicting Stock Daily Direction.
BDCAT
Linh Le, Ying Xie
2017 B conf
Unsupervised deep kernel for high dimensional data.
IJCNN
Ying Xie, Linh Le, Jie Hao
2016 C conf
Deep kernel: learning kernel function from data using deep neural network.
BDCAT
Linh Le, Jie Hao, Ying Xie, Jennifer L. Priestley
2016 C conf
Visualization of big high dimensional data in a three dimensional space.
BDCAT
Ying Xie, Pooja Chenna, Jing (Selena) He, Linh Le, Jacey Planteen