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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.
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2020 – today
- 2025
[i8]David Williams-King, Linh Le, Adam Oberman, Yoshua Bengio:
Can Safety Fine-Tuning Be More Principled? Lessons Learned from Cybersecurity. CoRR abs/2501.11183 (2025)- 2024
- [j7]Alejandro Sierra Múnera, Linh Le, Gianluca Demartini
, Ralf Krestel:
MELArt: A Multimodal Entity Linking Dataset for Art. TGDK 2(2): 8:1-8:22 (2024) - [c21]Linh Le, Genghong Zhao, Xia Zhang, Guido Zuccon, Gianluca Demartini:
CoLAL: Co-learning Active Learning for Text Classification. AAAI 2024: 13337-13345 - [c20]Linh Le, Dung Tran:
On Text Granularity and Metric Frameworks for Large Language Model Content Detection. IEEE Big Data 2024: 8301-8308 - [c19]Linh Le, Minh-Tien Nguyen, Khai Phan Tran, Genghong Zhao, Xia Zhang, Guido Zuccon, Gianluca Demartini:
Stochastic Featurization for Active Learning. TAI4H 2024: 52-65 - [d2]Alejandro Sierra Múnera, Linh Le, Gianluca Demartini, Ralf Krestel:
MELArt Dataset Generation. DROPS Artifacts, 2024
- [d1]Alejandro Sierra Múnera, Linh Le, Gianluca Demartini, Ralf Krestel:
MELArt Experiments. DROPS Artifacts, 2024 - [i7]Xuan-The Tran, Linh Le, Quoc Toan Nguyen, Thomas Tien-Thong Do, Chin-Teng Lin:
EEG-SSM: Leveraging State-Space Model for Dementia Detection. CoRR abs/2407.17801 (2024) - 2023
- [j6]Linh Le, Gianluca Demartini, Guido Zuccon, Genghong Zhao, Xia Zhang:
Active learning with feature matching for clinical named entity recognition. Nat. Lang. Process. J. 4: 100015 (2023) - [j5]Ha Viet Le, Tu N. Nguyen, Hoa Ngoc Nguyen, Linh Le:
An Efficient Hybrid Webshell Detection Method for Webserver of Marine Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24(2): 2630-2642 (2023) - [c18]Wan D. Bae, Angelo Alfonso, David Stanko, Lili Hao, Linh Le, Matthew Horak:
Improving Classification Performance on Rare Events in Data Starved Medical Applications. MeMeA 2023: 1-6 - 2022
- [j4]Tu Nguyen, Linh Le, Vincenzo Piuri, Brij B. Gupta, Lianyong Qi, Shahid Mumtaz, Huang-Chen Lee:
Guest Editorial: Deep Learning Assisted Visual IoT Technologies for Critical Infrastructure Protection. IEEE Internet Things Mag. 5(2): 10-12 (2022) - [c17]Linh Le, Guido Zuccon, Genghong Zhao, Gianluca Demartini, Xia Zhang:
Leveraging Semantic Type Dependencies for Medical Named Entity Recognition. AMIA 2022 - [c16]Linh Le, Tu N. Nguyen, Ahyoung Lee, Braulio Dumba:
Entanglement Routing For Quantum Networks: A Deep Reinforcement Learning Approach. ICC 2022: 395-400 - [c15]Linh Le, Tu N. Nguyen, Kun Suo, Jing (Selena) He:
5G network slicing and drone-assisted applications: a deep reinforcement learning approach. DroneCom@MobiCom 2022: 109-114 - [i6]Tu N. Nguyen, Kashyab J. Ambarani, Linh Le, Ivan B. Djordjevic, Zhi-Li Zhang:
A Multiple-Entanglement Routing Framework for Quantum Networks. CoRR abs/2207.11817 (2022) - [i5]Linh Le, Tu N. Nguyen, Kun Suo, Jing He:
Efficient Embedding VNFs in 5G Network Slicing: A Deep Reinforcement Learning Approach. CoRR abs/2207.11822 (2022) - 2021
- [j3]Linh Le, Ying Xie, Vijay Raghavan:
KNN Loss and Deep KNN. Fundam. Informaticae 182(2): 95-110 (2021) - [c14]Linh Le, Ying Xie, Sumit Chakravarty, Michael Hales, John Johnson, Tu N. Nguyen:
Analysis of Students' Concentration Levels for Online Learning Using Webcam Feeds. IEEE BigData 2021: 5517-5523 - [c13]Sumit Chakravarty, Ying Xie, Linh Le, John Johnson, Michael Hales:
Comparison Between Active and Passive Attention Using EEG Waves and Deep Neural Network. BI 2021: 287-298 - [c12]Linh Le, Srivatsa Mallapragada, Shashank Hebbar, David A. Guerra-Zubiaga:
One-Class Self-Attention Model for Anomaly Detection in Manufacturing Lines. IntelliSys (2) 2021: 259-275 - [c11]Lei Li, Svetlana Peltsverger, Jack Zheng, Linh Le, Michael Steven Handlin:
Retrieving and Classifying LinkedIn Job Titles for Alumni Career Analysis. SIGITE 2021: 85-90 - [c10]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:
RAS: Continuously Optimized Region-Wide Datacenter Resource Allocation. SOSP 2021: 505-520 - [i4]Minh-Duc Hoang, Linh Le, Anh-Tuan Nguyen, Trang Le, Hoang D. Nguyen:
Federated Artificial Intelligence for Unified Credit Assessment. CoRR abs/2105.09484 (2021) - 2020
- [c9]Linh Le, Ying Xie, Saisangararamaleengam Alagapan, Sumit Chakravarty, Pablo Ordóñez, Michael Hales, John Johnson:
Deep Pose Alignment. IEEE BigData 2020: 5366-5372 - [c8]Minh-Duc Hoang, Linh Le, Anh-Tuan Nguyen, Trang Le, Hoang D. Nguyen:
Federated Artificial Intelligence for Unified Credit Assessment. HCI (15) 2020: 44-56 - [i3]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:
ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites. CoRR abs/2012.08895 (2020)
2010 – 2019
- 2019
- [j2]Linh Le, Ying Xie:
Deep embedding kernel. Neurocomputing 339: 292-302 (2019) - [c7]Sanjana Kolisetty, Linh Le, Ilya Volkovich, Mihalis Yannakakis:
The Complexity of Finding S-Factors in Regular Graphs. FSTTCS 2019: 21:1-21:12 - [c6]Romas James Hada, Miao Jin, Ying Xie, Linh Le:
Link Prediction Based Minimum Cost and Balanced Partition of Large Online Social Networks. NCA 2019: 1-9 - [i2]Sanjana Kolisetty, Linh Le, Ilya Volkovich, Mihalis Yannakakis:
The Complexity of Finding S-factors in Regular Graphs. Electron. Colloquium Comput. Complex. TR19 (2019) - 2018
- [j1]Tinh Nguyen, Linh Le:
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. 26(1): 378-392 (2018) - [c5]Linh Le, Ying Xie:
Recurrent Embedding Kernel for Predicting Stock Daily Direction. BDCAT 2018: 160-166 - [c4]Linh Le, Ying Xie, Vijay V. Raghavan:
Deep Similarity-Enhanced K Nearest Neighbors. IEEE BigData 2018: 2643-2650 - [i1]Linh Le, Ying Xie:
Deep Embedding Kernel. CoRR abs/1804.05806 (2018) - 2017
- [c3]Ying Xie, Linh Le, Jie Hao:
Unsupervised deep kernel for high dimensional data. IJCNN 2017: 294-299 - 2016
- [c2]Linh Le, Jie Hao, Ying Xie, Jennifer L. Priestley:
Deep kernel: learning kernel function from data using deep neural network. BDCAT 2016: 1-7 - [c1]Ying Xie, Pooja Chenna, Jing (Selena) He, Linh Le, Jacey Planteen:
Visualization of big high dimensional data in a three dimensional space. BDCAT 2016: 61-66
Coauthor Index
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last updated on 2025-03-04 03:09 CET by the dblp team
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