Kang-Yang (Albert Huang) obtained his MSc degree in Computer Science at National Taiwan University, Taiwan, where he is part of the AIMM group within the Communication and Multimedia Laboratory (CMLab), under the guidance of Prof. Wen-Huang Cheng and Prof. Hong-Han Shuai. Albert previously earned his B.S. degree from the Undergraduate Honors Program in Electrical Engineering and Computer Science at National Yang Ming Chiao Tung University, Taiwan. Additionally, he was an exchange student at RWTH Aachen University, Germany, from April to September in 2021. Albert’s research interests are centered around the convergence of computer vision and deep learning. In the early stages of his academic journey, Albert specialized in lightweight deep learning, particularly in the areas of knowledge distillation and federated learning. Currently, Albert is broadening his research scope to include text-to-image generation and visual language models.
💻 Research Interests
- Computer Vision: image generation, image editing, video anomaly detection, interpretable DeepFake detection
- Deep Learning: federated learning, knowledge distillation, adversarial attack
🔥 News
- 2026.03: 🎉🎉 We are organizing the 1st TRIDENT: Tri-modal Deepfake Perception, Detection, and Hallucination Grand Challenge at ACM Multimedia, 2026 in Rio de Janeiro, Brazil.
- 2026.02: 🎉🎉 Our benchmark paper about tri-perspective DeepFake detection is accepted by CVPR 2026.
- 2025.07: 🎉🎉 Our research paper about face anti-spoofing utilizing vision-language model is accepted by ACM MM 2025.
- 2025.06: 🎉🎉 Received Hon Hai Technology Award, 2025 and Member of the Phi Tau Phi Scholastic Honor Society.
- 2025.01: 🎉🎉 Our survey paper about lightweight deep learning received the Best Paper Award for the year of 2024.
- 2024.11: 🎉🎉 Received Lam Research Paper Award and Outstanding Student Scholarship, 2024.
- 2024.07: 🎉🎉 Our research paper about image generation with precise human-object interactions through intelligent reasoning and correction is accepted by ACM MM 2024.
- 2024.06: 🎉🎉 Our research paper about weakly-supervised anomaly detection is accepted by IJCAI Workshop 2024.
- 2024.03: 🎉🎉 Our research paper about HOI detection is accepted for Oral by ICME 2024.
- 2022.06: 🎉🎉 Our survey paper about lightweight deep learning is accepted by IEEE Consumer Electronics Magazine.
- 2021.07: 🎉🎉 Our research paper about federated learning is accepted for Poster by ICME 2021.
📝 Publications
Please visit my Google Scholar page for full publications.
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CVPR 2026 TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection
Kang-Yang Huang*, Ling Zou*, Jian-Yu Jiang-Lin*, Ling Lo, Sheng-Ping Yang, Yu-Wen Tseng, Kun-Hsiang Lin, Chia-Ling Chen, Yu-Ting Ta, Yan-Tsung Wang, Po-Ching Chen, Hongxia Xie, Hong-Han Shuai, Wen-Huang Cheng
IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2026
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ACM MM 2025 InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofing
Kun-Hsiang Lin, Yu-Wen Tseng, Kang-Yang Huang, Jhih-Ciang Wu, Wen-Huang Cheng
ACM International Conference on Multimedia, ACM MM Oral, 2025
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ACM MM 2024 ReCorD: Reasoning and Correcting Diffusion for HOI Generation
Kang-Yang Huang*, Jian-Yu Jiang-Lin*, Ling Lo, Yi-Ning Huang, Terence Lin, Jhih-Ciang Wu, Hong-Han Shuai, Wen-Huang Cheng
ACM International Conference on Multimedia, ACM MM Poster, 2024
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ICME 2024 Learning Efficient Interaction Anchor for HOI Detection
Lirong Xue, Kang-Yang Huang, Rong Chao, Jhih-Ciang Wu, Hong-Han Shuai, Yung-Hui Li, Wen-Huang Cheng
IEEE International Conference on Multimedia and Expo, ICME Oral, 2024
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IEEE MCE 2022 Lightweight Deep Learning: An Overview
Ching-Hao Wang, Kang-Yang Huang, Yi Yao, Jun-Cheng Chen, Hong-Han Shuai, Wen-Huang Cheng
IEEE Consumer Electronics Magazine, IEEE MCE Best Paper Awards, 2022
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ICME 2021 Heterogeneous Federated Learning through Multi-branch Network
Ching-Hao Wang, Kang-Yang Huang, Jun-Cheng Chen, Hong-Han Shuai, Wen-Huang Cheng
IEEE International Conference on Multimedia and Expo, ICME Poster, 2021
PDF
💡 Projects
Multimodal Interpretable Deepfake Detection
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CVPR 2026 TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection
Kang-Yang Huang*, Ling Zou*, Jian-Yu Jiang-Lin*, Ling Lo, Sheng-Ping Yang, Yu-Wen Tseng, Kun-Hsiang Lin, Chia-Ling Chen, Yu-Ting Ta, Yan-Tsung Wang, Po-Ching Chen, Hongxia Xie, Hong-Han Shuai, Wen-Huang Cheng
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ACM MM MGC 2026 TRIDENT: Tri-modal Deepfake Perception, Detection, and Hallucination Grand Challenge
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This project is supported by NVIDIA Academic Grant Program.
Diffusion for Industrial Anomaly Detection
- IJCAI W. 2024 Dual Memory-guided Probabilistic Model for Weakly-supervised Anomaly Detection
Hsiu-Hua Chou, Ruyi Xu, Kang-Yang Huang, Jhih-Ciang Wu, Hong-Han Shuai, Wen-Huang Cheng
Oral Presentation
PDF
HOI Detection
- ICME 2024 Learning Efficient Interaction Anchor for HOI Detection
Lirong Xue, Kang-Yang Huang, Rong Chao, Jhih-Ciang Wu, Hong-Han Shuai, Yung-Hui Li, Wen-Huang Cheng
Oral Presentation
PDF
Lightweight Deep Learning
- IEEE MCE 2022 Lightweight Deep Learning: An Overview
Ching-Hao Wang, Kang-Yang Huang, Yi Yao, Jun-Cheng Chen, Hong-Han Shuai, Wen-Huang Cheng
Best Paper Awards
PDF
Federated Learning
- ICME 2021 Heterogeneous Federated Learning through Multi-branch Network
Ching-Hao Wang, Kang-Yang Huang, Jun-Cheng Chen, Hong-Han Shuai, Wen-Huang Cheng
Poster Presentation
PDF
📖 Teaching
- Teaching Assistant, Computer Vision Practice with Deep Learning, National Taiwan University. (Spring 2023, Fall 2023)
- Teaching Assistant, Artificial Intelligence, National Taiwan University. (Spring 2024, Spring 2025)
📑 Academic Services
- Conference Reviewer: ACM MM’25, ICME’25, AAAI’26
🎖 Honors and Awards
- 2025.06, Hon Hai Technology Award, 2025
- 2025.06, Member of the Phi Tau Phi Scholastic Honor Society
- 2024.11, Lam Research Paper Award, 2024
📫 References
Prof. Wen-Huang Cheng
- Title: Professor, IEEE Fellow, CSIE Associate Chair
- Department: Department of Computer Science and Information Engineering
- Institution: National Taiwan University
- Email:
wenhuang@csie.ntu.edu.tw - Role: Academic Advisor for Graduate and Undergraduate Studies
Prof. Hong-Han Shuai
- Title: Professor, Associate Chairman
- Department: Department of Electronics and Electrical Engineering
- Institution: National Yang Ming Chiao Tung University
- Email:
hhshuai@nycu.edu.tw - Role: Academic Advisor for Graduate and Undergraduate Studies