Linh Le

According to our database, Linh Le authored at least 28 papers between 2016 and 2024.

Collaborative distances:

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

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

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