Le Minh Binh (Ph.D.)

About me🤗

Hi! I’m Binh Le, and I’m currently a postdotoral researcher at SKKU in South Korea.

Academic Activities

Reviewer and Program Committee Member: AISTAT, WACV, AAAI, CIKM, ICPR, TPAMI, IEEE MM.

Teacher Assistant: 

• Introduction to Machine Learning—International Summer Semester.      

• Data Science Application.     

• Data Science & Security.

• Discrete Mathematics.

Volunteer: ICCV23.

Rewards

President's Award—Top PhD graduate in the college, Fall 2025.

Encouragement Award – 2025 Research Matters Plus– Sungkyunkwan University, 2025.  

Innovation Research Scholarship – BK21, 2024. 

PAKDD Best Paper Running-up Award, 2024.

Excellent PhD Researcher Award – CSE Dept, 2024.  

PAKDD Student Travel Award, 2024.

SIGIR Student Travel Award, 2022.                        

Potential Award, Emotional Recognition Challenge, 2019.

Third prize, Provincial Excellent Student Maths Contest, 2014.

Publication

2025

Binh M. Le and Simon Woo, "SEE: Spherical Embedding Expansion for Improving Deep Metric Learning," in The 34th International Joint Conference on Artificial Intelligence (IJCAI) - Invited for Sister Conferences Best Papers Track, 2025.

Thanh-Luan Le, HeeGun Chong, Binh M Le, H Nguyen-Xuan, Sung-Ah Kim, "From hand sketches to daylight performance: a mixed-input neural prediction framework", in ournal of Building Performance Simulation, 2025.

Binh M. Le, Jiwon Kim, Simon S. Woo, Alsharif Abuadbba, Kristen Moore, and Shahroz Tariq, "SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework," 10th IEEE European Symposium on Security and Privacy (Euro S&P), Italia, 2025.

Binh M Le, Shaoyuan Xu, Jinmiao Fu, Zhishen Huang, Moyan Li, Yanhui Guo, Hongdong Li, Sameera Ramasinghe, Bryan Wang, "QID: Efficient query-informed ViTs in data-scarce regimes for OCR-free visual document understanding", in CVPRW, 2025.

2024

Binh M. Le, Shahroz Tariq, and Simon Woo, " Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense," Asian Conference on Computer Vision (ACCV), Oral, Hanoi, 2024.

Binh M. Le, and Simon Woo, "Gradient Alignment for Cross-Domain Face Anti-Spoofing," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Binh M. Le, and Simon Woo, "SEE: Spherical Embedding Expansion for Improving Deep Metric Learning," in Proceedings of the 28th Pasific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Best running-up paper, 2024.

2023

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," in Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM),  2023.

Binh M. Le and Simon Woo, "Quality agnostic deepfake detection with Intra-model Collaborative Learning," in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.

Chingis Oinar*, Binh M. Le*, and Simon Woo, "KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition," in IEEE Access (IF=3.47), 2023.

Chingis Oinar*, Binh M. Le*, and Simon Woo, "Expectation-Maximization via Pretext-Invariant Representations," in IEEE Access (IF=3.47), 2023.

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," in Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM), 2022.

Shahroz Tariq, Binh M. Le, and Simon Woo, "Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability," in Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM), 2022.

Binh M. Le, and Simon S. Woo, "ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images," in Proceedings of the 36th Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022.

Contact