| 2025 | ICIP | ColorGPT: Automatic Colorization with Generative Prompts and Transformer. | Juntao Qiu, Yaping Zhao, Edmund Y. Lam |
| 2025 | ISCAS | Eigen-Component Analysis: A Quantum Theory-Inspired Linear Model. | Rongzhou Chen, Yaping Zhao, Hanghang Liu, Haohan Xu, Shaohua Ma, Edmund Y. Lam |
| 2025 | ISCAS | Laconic Neuromorphic Vision. | Yaping Zhao, Edmund Y. Lam |
| 2024 | ICASSP | Unsupervised Disparity Estimation for Light Field Videos. | Shansi Zhang, Edmund Y. Lam |
| 2024 | ICASSP | SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging. | Yaping Zhao, Edmund Y. Lam |
| 2024 | ICASSP | Cross-Camera Human Motion Transfer by Time Series Analysis. | Yaping Zhao, Guanghan Li, Edmund Y. Lam |
| 2024 | ICIP | Controllable Unsupervised Event-Based Video Generation. | Yaping Zhao, Pei Zhang, Chutian Wang, Edmund Y. Lam |
| 2024 | ISCAS | A field deployable imaging system for detecting microplastics in the aquatic environment. | Jianqing Huang, Yuxing Li, Yanmin Zhu, Edmund Y. Lam |
| 2023 | AAAI | Context-Aware Transformer for 3D Point Cloud Automatic Annotation. | Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong |
| 2023 | DSAA | Solving Inverse Problems in Compressive Imaging with Score-Based Generative Models. | Zhen Yuen Chong, Yaping Zhao, Zhongrui Wang, Edmund Y. Lam |
| 2023 | DSAA | Adaptive Compressed Sensing for Real-Time Video Compression, Transmission, and Reconstruction. | Yaping Zhao, Qunsong Zeng, Edmund Y. Lam |
| 2023 | EMNLP | Gradually Excavating External Knowledge for Implicit Complex Question Answering. | Chang Liu, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Edmund Y. Lam, Ngai Wong |
| 2023 | ICCV | PIDRo: Parallel Isomeric Attention with Dynamic Routing for Text-Video Retrieval. | Peiyan Guan, Renjing Pei, Bin Shao, Jianzhuang Liu, Weimian Li, Jiaxi Gu, Hang Xu, Songcen Xu, Youliang Yan, Edmund Y. Lam |
| 2023 | ICIP | Improving Video Colorization by Test-Time Tuning. | Yaping Zhao, Haitian Zheng, Jiebo Luo, Edmund Y. Lam |
| 2023 | ICIP | Point Cloud Denoising Via Momentum Ascent in Gradient Fields. | Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam |
| 2022 | DSAA | PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction. | Yaping Zhao, Ramgopal Ravi, Shuhui Shi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao |
| 2022 | DSAA | H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing. | Yaping Zhao, Shuhui Shi, Ramgopal Ravi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao |
| 2022 | DSAA | Improving Source Localization by Perturbing Graph Diffusion. | Yaping Zhao, Zhongrui Wang, Edmund Y. Lam |
| 2022 | ECCV | Multimodal Transformer for Automatic 3D Annotation and Object Detection. | Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong |
| 2022 | ICIP | Manet: Improving Video Denoising with a Multi-Alignment Network. | Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam |
| 2022 | ICPR | MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator. | Chang Liu, Xiaoyan Qian, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong |
| 2022 | ICPR | A Deep Retinex Framework for Light Field Restoration under Low-light Conditions. | Shansi Zhang, Edmund Y. Lam |
| 2022 | IGARSS | Three-Branch Multilevel Attentive Fusion Network for Hyperspectral Pansharpening. | Peiyan Guan, Edmund Y. Lam |
| 2022 | IGARSS | Spatial-Spectral Contrastive Learning for Hyperspectral Image Classification. | Peiyan Guan, Edmund Y. Lam |
| 2021 | ICALT | A New Approach for Educational Data Analytics with Wearable Devices. | Zhenxing Zhou, Vincent W. L. Tam, King-Shan Lui, Edmund Y. Lam, Runzhi Kong, Xiao Hu, Nancy Law |
| 2021 | ICIP | Ghost-Free HDR Imaging Via Unrolling Low-Rank Matrix Completion. | Truong Thanh Nhat Mai, Edmund Y. Lam, Chul Lee |
| 2020 | AAAI | High-Order Residual Network for Light Field Super-Resolution. | Nan Meng, Xiaofei Wu, Jianzhuang Liu, Edmund Y. Lam |
| 2020 | ASSETS | A Portable Hong Kong Sign Language Translation Platform with Deep Learning and Jetson Nano. | Zhenxing Zhou, Yisiang Neo, King-Shan Lui, Vincent W. L. Tam, Edmund Y. Lam, Ngai Wong |
| 2020 | ICALT | A Sophisticated Platform for Learning Analytics with Wearable Devices. | Z. X. Zhou, Vincent W. L. Tam, King-Shan Lui, Edmund Y. Lam, Xiao Hu, Allan H. K. Yuen, Nancy Law |
| 2020 | ICPR | MBD-GAN: Model-based image deblurring with a generative adversarial network. | Li Song, Edmund Y. Lam |
| 2020 | ICPR | Applying (3+2+1)D Residual Neural Network with Frame Selection for Hong Kong Sign Language Recognition. | Zhenxing Zhou, King-Shan Lui, Vincent W. L. Tam, Edmund Y. Lam |
| 2020 | INDIN | Holographic Classifier: Deep Learning in Digital Holography for Automatic Micro-objects Classification. | Yanmin Zhu, Chok Hang Yeung, Edmund Y. Lam |
| 2019 | ICIP | Spatial and Angular Reconstruction of Light Field Based on Deep Generative Networks. | Nan Meng, Tianjiao Zeng, Edmund Y. Lam |
| 2019 | ICTAI | Applying Deep Learning and Wearable Devices for Educational Data Analytics. | Z. X. Zhou, Vincent W. L. Tam, King-Shan Lui, Edmund Y. Lam, Allan Hoi Kau Yuen, Xiao Hu, Nancy Law |
| 2017 | MVA | Computational single-cell classification using deep learning on bright-field and phase images. | Nan Meng, Hayden Kwok-Hay So, Edmund Y. Lam |
| 2016 | ICASSP | High dynamic range imaging via truncated nuclear norm minimization of low-rank matrix. | Chul Lee, Edmund Y. Lam |
| 2016 | IJCNN | Sparse Hierarchical Nonparametric Bayesian learning for light field representation and denoising. | Xing Sun, Nan Meng, Zhimin Xu, Edmund Y. Lam, Hayden Kwok-Hay So |
| 2016 | IJCNN | Data-driven light field depth estimation using deep Convolutional Neural Networks. | Xing Sun, Zhimin Xu, Nan Meng, Edmund Y. Lam, Hayden Kwok-Hay So |
| 2015 | MVA | Human arm pose modeling with learned features using joint convolutional neural network. | Chongguo Li, Nelson H. C. Yung, Edmund Y. Lam |
| 2013 | ICALT | Applying an Evolutionary Approach for Learning Path Optimization in the Next-Generation E-Learning Systems. | Vincent W. L. Tam, S. T. Fung, Alex Yi, Edmund Y. Lam |
| 2013 | ICALT | Building an Interactive Simulator on a Cloud Computing Platform to Enhance Students' Understanding of Computer Systems. | Vincent W. L. Tam, Alex Yi, Edmund Y. Lam |
| 2013 | ICALT | Using Cloud Computing and Mobile Devices to Facilitate Students' Learning through E-Learning Games. | Vincent W. L. Tam, Alex Yi, Edmund Y. Lam, Cecilia Ka Yuk Chan, Allan H. K. Yuen |
| 2013 | ISCAS | Fast single frame super-resolution using scale-invariant self-similarity. | Luhong Liang, King Hung Chiu, Edmund Y. Lam |
| 2012 | ICALT | Toward a Complete E-learning System Framework for Semantic Analysis, Concept Clustering and Learning Path Optimization. | Vincent W. L. Tam, Edmund Y. Lam, S. T. Fung |
| 2012 | ISCAS | Nonlinear image reconstruction in block-based compressive imaging. | Jun Ke, Edmund Y. Lam |
| 2011 | ICALT | Enhancing Learning Paths with Concept Clustering and Rule-Based Optimization. | S. T. Fung, Vincent W. L. Tam, Edmund Y. Lam |
| 2010 | ICIP | Stochastic gradient descent for robust inverse photomask synthesis in optical lithography. | Ningning Jia, Edmund Y. Lam |
| 2010 | ICIP | Sectional image reconstruction in optical scanning holography using compressed sensing. | Xin Zhang, Edmund Y. Lam |
| 2010 | ICIP | Edge detection of three-dimensional objects by manipulating pupil functions in an optical scanning holography system. | Xin Zhang, Edmund Y. Lam |
| 2010 | ISCAS | Hyperspectral reconstruction in biomedical imaging using terahertz systems. | Zhimin Xu, Edmund Y. Lam |
| 2009 | ICALT | Developing an Innovative and Pen-Based Simulator to Enhance Education and Research in Computer Systems. | Johnny Yeung, Vincent W. L. Tam, Edmund Y. Lam, Cheung Hoi Leung |
| 2009 | ISCAS | An Improved Direction-of-arrival Estimation via Phase Information of Sparse Solution. | Xiansheng Guo, Qun Wan, Chunqi Chang, Edmund Y. Lam |
| 2008 | ICIP | Inverse image problem of designing phase shifting masks in optical lithography. | Stanley H. Chan, Edmund Y. Lam |
| 2008 | SMC | Handling of multi-reflections in wafer bump 3D reconstruction. | Jun Cheng, Ronald Chung, Edmund Y. Lam, Kenneth S. M. Fung |
| 2007 | VTC | Efficient Selective Image Transmission in Visual Sensor Networks. | Kit-Yee Chow, King-Shan Lui, Edmund Y. Lam |
| 2007 | WCNC | Achieving 360° Angle Coverage with Minimum Transmission Cost in Visual Sensor Networks. | Kit-Yee Chow, King-Shan Lui, Edmund Y. Lam |
| 2006 | ICASSP | Investigation of Computational Compound-Eye Imaging System With Super-Resolution Reconstruction. | Wai-San Chan, Edmund Y. Lam, Michael K. Ng |
| 2006 | ICPR | Extending the Depth of Field in a Compound-Eye Imaging System with Super-Resolution Reconstruction. | Wai-San Chan, Edmund Y. Lam, Michael K. Ng |
| 2006 | ICPR | Bit-pairing Codification for Binary Pattern Projection System. | Jun Cheng, Ronald Chung, Edmund Y. Lam, Kenneth S. M. Fung |
| 2006 | SMC | Feature Selection in Source Camera Identification. | Kai San Choi, Edmund Y. Lam, Kenneth K. Y. Wong |
| 2006 | SMC | Curvature Domain Image Stitching. | Simon T. Y. Suen, Edmund Y. Lam, Kenneth K. Y. Wong |
| 2004 | ICIG | A nonlinear image restoration framework using vector quantization. | Edmund Y. Lam |
| 2003 | ICIP | Graylevel alignment between two images using linear programming. | Edmund Y. Lam |