Binh M. Le
Ph.D. Candidate
About me
I am a Ph.D. candidate in Computer Science at SKKU (99th QS), South Korea.
News
April 4, 2024: Receiving PAKDD Student Travel Award.
Feb. 27, 2024: One paper accepted in CVPR 2024.
Jan. 29, 2024: Receiving the Excellent Ph.D Researcher Award 2023 by CSE Dept., SKKU.
Jan. 28, 2024: One paper accepted in PAKDD 2024.
Education
Sep. 2020 - Now: Ph.D. student in Computer Science
Sungkyunkwan University, South Korea
2015 - 2020: Bachelor of Science
University of Science, Vietnam
Sep. 2019 - Jul 2020: Assistant Researcher
Jun. 2017 - Aug. 2017: Short-term exchange Student
Tokyo University of Agriculture & Technology, Japan
2014 - 2015: Accounting and Auditing Student
Working Experience
Dec. 2018 - May 2019: Data Analyst intern
Teaching
Sungkyunkwan University
Introduction to Machine Learning—International Summer Semester 2022 (TA)
Data Science Application - Spring 2022 (TA)
Data Science & Security - Fall 2021 (TA)
Introduction to Machine Learning—International Summer Semester 2021 (TA)
University of Science
Discrete Mathematics - Spring 2019 (TA)
Reviewer
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV'24)
International Conference on Artificial Intelligence and Statistics (AISTATS'23-24)
Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI'24)
Exterenal reviewer: AAAI'22-23, NeurIPS'22, WWW'21-22, IJCAI'22, KDD'22, CIKM'21-23, WACV'22, ACCV'22, BMVC'22, CCS'21.
Pet Project
AR Game and AR Menu (C#, Unity, ARKit)
Interactive Data Visualization (3D.js): Demo
Award
2024: Excellent Ph.D. Researcher Award, CSE Dept, SKKU.
2024: PAKDD Student Travel Award.
2022: SIGIR Student Travel Award.
Publication
2024
Binh M. Le*, and Simon Woo, "Gradient Alignment for Cross-Domain Face Anti-Spoofing," The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024
Binh M. Le*, and Simon Woo, "SEE: Spherical Embedding Expansion for Improving Deep Metric Learning," The 28th Pasific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Taiwan, 2024.
2023
Chingis Oinar*, Binh M. Le*, and Simon Woo, "KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition," IEEE Access (IF=3.47)
Beomsang Cho*, Binh M. Le*, Jiwon Kim, Simon S. Woo , Shahroz Tariq, Alsharif Abuadbba, and Kristen Moore, "Towards Understanding of Deepfake Videos in the Wild," 32nd ACM International Conference on Information and Knowledge Management (CIKM), UK, 2023.
Binh M. Le* and Simon Woo, "Quality agnostic deepfake detection with Intra-model Collaborative Learning," International Conference on Computer Vision (ICCV), Paris, France, 2023.
Chingis Oinar*, Binh M. Le*, and Simon Woo, "Expectation-Maximization via Pretext-Invariant Representations," IEEE Access (IF=3.47)
Binh M. Le*, Shahroz Tariq, and Simon Woo, "OTJR: Optimal transport meets optimal Jacobian regularization for adversarial robustness," (Under Review)
2022
Binh M. Le, Rajat Tandon, Chingis Oinar, Jeffrey Liu, Uma Durairaj, Jiani Guo, Spencer Zahabizadeh, Sanjana Ilango, Jeremy Tang, Fred Morstatter, Simon Woo, and Jelena Mirkovic, "Samba: Identifying Inappropriate Videos for Young Children on YouTube," 31st ACM International Conference on Information & Knowledge Management (CIKM), Georgia, USA, 2022
Shahroz Tariq, Binh M. Le, and Simon Woo, "Towards an Awareness of Time Series Anomaly Detection Mod els' Adversarial Vulnerability," 31st ACM International Conference on Information & Knowledge Management (CIKM), Georgia, USA, 2022
Binh M. Le and Simon S. Woo, "ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images," Proceedings of the 36th Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Canada, 2022.
2021
Binh M. Le, and Simon S. Woo, "Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images," International Workshop on Safety and Security of Deep Learning, IJCAI Workshop 2021
Kim-Cuong T Nguyen, Binh M. Le, Mengxun Li, Fabiana T Almeida, Paul W Major, Neelambar R Kaipatur, Edmond HM Lou, Kumaradevan Punithakumar, Lawrence H Le, "Localization of cementoenamel junction in intraoral ultrasonographs with machine learning," Journal of Dentistry (IF=4.99)
2020
Thanh-Tu Pham, Binh M. Le, Lawrence H Le, John Andersen, Edmond Lou, "Assessment of hip displacement in children with cerebral palsy using machine learning approach," Medical & Biological Engineering & Computing (IF=2.6)
Contact
N Center 86402, Sungkyunkwan University, 2066 Seobu-ro Jangan-gu Suwon, South Korea
Email: bmle@g.skku.edu