Ngai-Man Cheung

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 164

Top Venues

CoRR

IEEE Trans. Image Process.

CVPR

ICIP

Publications

Sy-Tuyen Ho, Koh Jun Hao, Keshigeyan Chandrasegaran, Ngoc-Bao Nguyen, Ngai-Man Cheung
Model Inversion Robustness: Can Transfer Learning Help? CoRR (2024)
Chandler Timm C. Doloriel, Ngai-Man Cheung
Frequency Masking for Universal Deepfake Detection. ICASSP (2024)
Chandler Timm C. Doloriel, Ngai-Man Cheung
Frequency Masking for Universal Deepfake Detection. CoRR (2024)
Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung
Label-Only Model Inversion Attacks via Knowledge Transfer. CoRR (2023)
Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation. CVPR (2023)
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin
On Evaluating Adversarial Robustness of Large Vision-Language Models. CoRR (2023)
Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation. CoRR (2023)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung
Label-Only Model Inversion Attacks via Knowledge Transfer. NeurIPS (2023)
Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung
Re-Thinking Model Inversion Attacks Against Deep Neural Networks. CVPR (2023)
Yunqing Zhao, Ngai-Man Cheung
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification. IEEE Trans. Image Process. 32 (2023)
Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung
On Measuring Fairness in Generative Models. CoRR (2023)
Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung
Fair Generative Models via Transfer Learning. AAAI (2023)
Milad Abdollahzadeh, Touba Malekzadeh, Christopher T. H. Teo, Keshigeyan Chandrasegaran, Guimeng Liu, Ngai-Man Cheung
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot. CoRR (2023)
Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung
On Measuring Fairness in Generative Models. NeurIPS (2023)
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-Man Cheung, Min Lin
A Recipe for Watermarking Diffusion Models. CoRR (2023)
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin
On Evaluating Adversarial Robustness of Large Vision-Language Models. NeurIPS (2023)
Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung
Re-thinking Model Inversion Attacks Against Deep Neural Networks. CoRR (2023)
Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung
Few-shot Image Generation via Adaptation-Aware Kernel Modulation. CoRR (2022)
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao, Ngai-Man Cheung
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? ICML (2022)
Yupeng Zhang, Lingjie Duan, Ngai-Man Cheung
Accelerating Federated Learning on Non-IID Data Against Stragglers. SECON Workshops (2022)
Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung
Fair Generative Models via Transfer Learning. CoRR (2022)
Yunqing Zhao, Ngai-Man Cheung
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification. CoRR (2022)
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung
Discovering Transferable Forensic Features for CNN-Generated Images Detection. ECCV (15) (2022)
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao, Ngai-Man Cheung
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? CoRR (2022)
Evan C. Ehrenberg, Kleovoulos Leo Tsourides, Hossein Nejati, Ngai-Man Cheung, Pawan Sinha
Neural Correlates of Face Familiarity Perception. CoRR (2022)
Thilini Cooray, Ngai-Man Cheung
Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning. AAAI (2022)
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung
Discovering Transferable Forensic Features for CNN-generated Images Detection. CoRR (2022)
Yunqing Zhao, Henghui Ding, Houjing Huang, Ngai-Man Cheung
A Closer Look at Few-shot Image Generation. CVPR (2022)
Penny Chong, Ngai-Man Cheung, Yuval Elovici, Alexander Binder
Toward Scalable and Unified Example-Based Explanation and Outlier Detection. IEEE Trans. Image Process. 31 (2022)
Yunqing Zhao, Henghui Ding, Houjing Huang, Ngai-Man Cheung
A Closer Look at Few-shot Image Generation. CoRR (2022)
Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung
Few-shot Image Generation via Adaptation-Aware Kernel Modulation. NeurIPS (2022)
Wen-Yan Lin, Siying Liu, Changhao Ren, Ngai-Man Cheung, Hongdong Li, Yasuyuki Matsushita
Shell Theory: A Statistical Model of Reality. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Rui Liu, Ngai-Man Cheung
Joint estimation of low-rank components and connectivity graph in high-dimensional graph signals: Application to brain imaging. Signal Process. 182 (2021)
Milad Abdollahzadeh, Touba Malekzadeh, Ngai-Man Cheung
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning. CoRR (2021)
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung
A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection. CVPR (2021)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. CoRR (2021)
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection. CoRR (2021)
Christopher T. H. Teo, Ngai-Man Cheung
Measuring Fairness in Generative Models. CoRR (2021)
Kwot Sin Lee, Ngoc-Trung Tran, Ngai-Man Cheung
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning. WACV (2021)
Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Ngai-Man Cheung, Yuval Elovici, Alexander Binder
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples. CoRR (2021)
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Trung-Kien Nguyen, Ngai-Man Cheung
On Data Augmentation for GAN Training. IEEE Trans. Image Process. 30 (2021)
Shahram Ghahremani, David K. Y. Yau, Justin Albrethsen, Rajvir Sidhu, Ngai-Man Cheung
Time Delay Attack Detection Using Recurrent Variational Autoencoder and K-means Clustering. ISGT Asia (2021)
Milad Abdollahzadeh, Touba Malekzadeh, Ngai-Man Cheung
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning. NeurIPS (2021)
Shahram Ghahremani, Rajvir Sidhu, David K. Y. Yau, Ngai-Man Cheung, Justin Albrethsen
Defense against Power System Time Delay Attacks via Attention-based Multivariate Deep Learning. SmartGridComm (2021)
Thilini Cooray, Ngai-Man Cheung
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning. CoRR (2021)
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Anh-Dzung Doan, Ngai-Man Cheung
Compact Hash Code Learning With Binary Deep Neural Network. IEEE Trans. Multim. 22 (4) (2020)
Tuan Hoang, Thanh-Toan Do, Huu Le, Dang-Khoa Le Tan, Ngai-Man Cheung
Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing. Comput. Vis. Image Underst. 191 (2020)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. IJCAI (2020)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Unsupervised Deep Cross-modality Spectral Hashing. CoRR (2020)
Yiluan Guo, Ngai-Man Cheung
Attentive Weights Generation for Few Shot Learning via Information Maximization. CVPR (2020)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Unsupervised Deep Cross-modality Spectral Hashing. IEEE Trans. Image Process. 29 (2020)
Thilini Cooray, Ngai-Man Cheung, Wei Lu
Attention-Based Context Aware Reasoning for Situation Recognition. CVPR (2020)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. CoRR (2020)
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Trung-Kien Nguyen, Ngai-Man Cheung
Towards Good Practices for Data Augmentation in GAN Training. CoRR (2020)
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder
Explanation-Guided Training for Cross-Domain Few-Shot Classification. CoRR (2020)
Saeid Hosseini, Saeed Najafi Pour, Ngai-Man Cheung, Hongzhi Yin, Mohammad Reza Kangavari, Xiaofang Zhou
TEAGS: time-aware text embedding approach to generate subgraphs. Data Min. Knowl. Discov. 34 (4) (2020)
Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung, Michael Riegler, Jan Zahálka
Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia (2020)
Kwot Sin Lee, Ngoc-Trung Tran, Ngai-Man Cheung
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning. CoRR (2020)
Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder
Explanation-Guided Training for Cross-Domain Few-Shot Classification. ICPR (2020)
Linxiao Yang, Ngai-Man Cheung, Jiaying Li, Jun Fang
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding. ICCV (2019)
Mengxuan Tan, Alfonso Iacovazzi, Ngai-Man Cheung, Yuval Elovici
A Neural Attention Model for Real-Time Network Intrusion Detection. LCN (2019)
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid
Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation. WACV (2019)
Hamed Alizadeh Ghazijahani, Hadi Seyedarabi, Javad Musevi Niya, Ngai-Man Cheung
Optimized Routing and Spectrum Assignment for Video Communication over an Elastic Optical Network. CoRR (2019)
Mostafa Rezazad, Matthias R. Brust, Mohammad Akbari, Pascal Bouvry, Ngai-Man Cheung
Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning. CoRR (2019)
Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences. CVPR (2019)
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Ngai-Man Cheung
An Improved Self-supervised GAN via Adversarial Training. CoRR (2019)
Saeid Hosseini, Saeed Najafi Pour, Ngai-Man Cheung, Mohammad Reza Kangavari, Xiaofang Zhou, Yuval Elovici
TEALS: Time-aware Text Embedding Approach to Leverage Subgraphs. CoRR (2019)
Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung
Improving GAN with Neighbors Embedding and Gradient Matching. AAAI (2019)
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game. CoRR (2019)
Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Mengxuan Tan, Ngai-Man Cheung
On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC. IEEE Trans. Image Process. 28 (4) (2019)
Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. CoRR (2019)
Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung
MCP: A multi-component learning machine to predict protein secondary structure. Comput. Biol. Medicine 110 (2019)
Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences. CoRR (2019)
Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. IEEE Trans. Image Process. 28 (10) (2019)
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game. NeurIPS (2019)
Heng Zhao, Kim-Hui Yap, Alex C. Kot, Lingyu Duan, Ngai-Man Cheung
Few-Shot and Many-Shot Fusion Learning in Mobile Visual Food Recognition. ISCAS (2019)
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 15 (2) (2019)
Saeid Hosseini, Hongzhi Yin, Xiaofang Zhou, Shazia W. Sadiq, Mohammad Reza Kangavari, Ngai-Man Cheung
Leveraging multi-aspect time-related influence in location recommendation. World Wide Web 22 (3) (2019)
Thanh-Toan Do, Ngai-Man Cheung
Embedding Based on Function Approximation for Large Scale Image Search. IEEE Trans. Pattern Anal. Mach. Intell. 40 (3) (2018)
Manas Khatua, Seyed Hamid Safavi, Ngai-Man Cheung
Sparse Laplacian Component Analysis for Internet Traffic Anomalies Detection. IEEE Trans. Signal Inf. Process. over Networks 4 (4) (2018)
Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung, Kan Pak Leng, Yuval Elovici, Xiaofang Zhou
Exploiting Reshaping Subgraphs from Bilateral Propagation Graphs. DASFAA (1) (2018)
Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung
Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing. CoRR (2018)
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Ngai-Man Cheung
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. CoRR (2018)
Milad Abdollahzadeh, Hadi Seyedarabi, Javad Musevi Niya, Ngai-Man Cheung
Optimal HEVC Configuration for Wireless Video Communication Under Energy Constraints. IEEE Access 6 (2018)
Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal
Deep Adaptive Temporal Pooling for Activity Recognition. CoRR (2018)
Ngoc-Trung Tran, Tuan-Anh Bui, Ngai-Man Cheung
Generative Adversarial Autoencoder Networks. CoRR (2018)
Yiluan Guo, Ngai-Man Cheung
Efficient and Deep Person Re-Identification Using Multi-Level Similarity. CVPR (2018)
Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung
Supervised Hashing with End-to-End Binary Deep Neural Network. ICIP (2018)
Saurabh Misra, Mengxuan Tan, Mostafa Rezazad, Ngai-Man Cheung
Early detection of Crossfire attacks using deep learning. CoRR (2018)
Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal
Deep Adaptive Temporal Pooling for Activity Recognition. ACM Multimedia (2018)
Sibo Song, Yueru Chen, Ngai-Man Cheung, C.-C. Jay Kuo
Defense Against Adversarial Attacks with Saak Transform. CoRR (2018)
Yiren Zhou, Thanh-Toan Do, Haitian Zheng, Ngai-Man Cheung, Lu Fang
Computation and Memory Efficient Image Segmentation. IEEE Trans. Circuits Syst. Video Technol. 28 (1) (2018)
Hadi Mohammadzadeh Abachi, Saeid Hosseini, Mojtaba Amiri Maskouni, Mohammadreza Kangavari, Ngai-Man Cheung
Statistical Discretization of Continuous Attributes Using Kolmogorov-Smirnov Test. ADC (2018)
Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung
DeepVQ: A Deep Network Architecture for Vector Quantization. CVPR Workshops (2018)
Leila Khalatbari, Mohammadreza Kangavari, Saeid Hosseini, Hongzhi Yin, Ngai-Man Cheung
MCP: a multi-component learning machine for prediction of protein secondary structure. CoRR (2018)
Yiluan Guo, Ngai-Man Cheung
Efficient and Deep Person Re-Identification using Multi-Level Similarity. CoRR (2018)
Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN. ICDM (2018)
Hossein Nejati, Hamed Alizadeh Ghazijahani, Milad Abdollahzadeh, Touba Malekzadeh, Ngai-Man Cheung, Kheng Hock Lee, Lian Leng Low
Fine-Grained Wound Tissue Analysis Using Deep Neural Network. ICASSP (2018)
Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ngai-Man Cheung