Ngai-Man Cheung

发表

Analyst intuition based Hidden Markov Model on high speed, temporal cyber security big data

Yuval Elovici, Teoh Teik Toe, W. L. Ng, 2017, 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

A Closer Look at Few-shot Image Generation

Henghui Ding, Ngai-Man Cheung, Yunqing Zhao, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?

Ngai-Man Cheung, Yunqing Zhao, Keshigeyan Chandrasegaran, 2022, ICML.

FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification

Ngai-Man Cheung, Yunqing Zhao, 2022, 2208.10930.

Discovering Transferable Forensic Features for CNN-generated Images Detection

Ngai-Man Cheung, Keshigeyan Chandrasegaran, Ngoc-Trung Tran, 2022, ECCV.

Few-shot Image Generation via Adaptation-Aware Kernel Modulation

Ngai-Man Cheung, Yunqing Zhao, Keshigeyan Chandrasegaran, 2022, ArXiv.

Few-shot Image Generation via Adaptation-Aware Kernel Modulation

Ngai-Man Cheung, Yunqing Zhao, Keshigeyan Chandrasegaran, 2022, ArXiv.

Fair Generative Models via Transfer Learning

Christopher T.H Teo, Ngai-Man Cheung, Milad Abdollahzadeh, 2022, AAAI.

Exploring Incompatible Knowledge Transfer in Few-shot Image Generation

Min Lin, Chao Du, Tianyu Pang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Few-shot Image Generation via Adaptation-Aware Kernel Modulation

Ngai-Man Cheung, Yunqing Zhao, Keshigeyan Chandrasegaran, 2022, NeurIPS.

Toward Scalable and Unified Example-Based Explanation and Outlier Detection

Y. Elovici, Ngai-Man Cheung, Penny Chong, 2020, IEEE Transactions on Image Processing.

A Recipe for Watermarking Diffusion Models

Min Lin, Chao Du, Tianyu Pang, 2023, ArXiv.

FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification

Ngai-Man Cheung, Yunqing Zhao, 2022, IEEE Transactions on Image Processing.

Re-thinking Model Inversion Attacks Against Deep Neural Networks

Ngai-Man Cheung, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, 2023, ArXiv.

On Evaluating Adversarial Robustness of Large Vision-Language Models

Min Lin, Chao Du, Tianyu Pang, 2023, ArXiv.

Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing

Tam V. Nguyen, Tuan Hoang, Thanh-Toan Do, 2021, IEEE Transactions on Neural Networks and Learning Systems.

A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot

Ngai-Man Cheung, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, 2023, ArXiv.

Re-Thinking Model Inversion Attacks Against Deep Neural Networks

Ngai-Man Cheung, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards Scalable and Uniﬁed Example-based Explanation and Outlier Detection

Y. Elovici, Ngai-Man Cheung, Penny Chong, 2021 .

A Neural Attention Model for Real-Time Network Intrusion Detection

Yuval Elovici, Alfonso Iacovazzi, Mengxuan Tan, 2019, 2019 IEEE 44th Conference on Local Computer Networks (LCN).

Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning

Ngai-Man Cheung, Thilini Cooray, 2021, AAAI.

On Evaluating Adversarial Robustness of Large Vision-Language Models

Min Lin, Chao Du, Tianyu Pang, 2023, NeurIPS.

A Recipe for Watermarking Diffusion Models

Min Lin, Chao Du, Tianyu Pang, 2023, ArXiv.

Binary Constrained Deep Hashing Network for Image Retrieval without Human Annotation

Dang-Khoa Le Tan, I. Reid, Thanh-Toan Do, 2018 .

Discovering Transferable Forensic Features for CNN-generated Images Detection

Ngai-Man Cheung, Keshigeyan Chandrasegaran, Ngoc-Trung Tran, 2022 .

AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation

Chao Du, Tianyu Pang, Ngai-Man Cheung, 2023, ArXiv.