PredictionIO: a distributed machine learning server for practical software development. - Simon Chan; Thomas Stone; Kit Pang Szeto; Ka-Hou Chan (CIKM, 2013)

Multi-lambda search for improved rate-distortion optimization of H.265/HEVC. - Sio Kei Im; Ka-Hou Chan (ICICS, 2015)

Simulation of Interaction Between Fluid and Deformable Bodies. - Ka-Hou Chan; Wen Wu; Wei Ke 001 (ICIG (3), 2015)

Non-integer bit estimation for enhanced inter-picture prediction in H.265/HEVC. - Sio Kei Im; Mohammad Mahdi Ghandi; Ka-Hou Chan (WoWMoM, 2016)

Fast Binarisation with Chebyshev Inequality. - Ka-Hou Chan; Sio Kei Im; Wei Ke 001 (DocEng, 2017)

Fast Grid-Based Fluid Dynamics Simulation with Conservation of Momentum and Kinetic Energy on GPU. - Ka-Hou Chan; Sio Kei Im (ICIG (3), 2017)

Fast Intra Prediction Algorithm with Enhanced Sampling Decision for H.265/HEVC. - Sio Kei Im; Mohammad Mahdi Ghandi; Ka-Hou Chan (VISIGRAPP (4: VISAPP), 2017)

Efficient mode decision with enhanced sampling algorithm for HEVC. - Sio Kei Im; Ka-Hou Chan (WoWMoM, 2017)

A Social Media Mining and Analysis Approach for Supporting Cyber Youth Work. - Wai Ming Wang; Benny C. F. Cheung; Zeno C. S. Leung; Ka-Hou Chan; Eric Wing Kuen See-To (Int. J. Knowl. Syst. Sci., 2017)

Improving the Discrete Cosine Transform by the Sign Symbol Feature in H.265/HEVC. - Sio Kei Im; Ka-Hou Chan (ICGSP, 2018)

SinP[N]: A Fast Convergence Activation Function for Convolutional Neural Networks. - Ka-Hou Chan; Sio Kei Im; Wei Ke 001; Ngan-Lin Lei (UCC Companion, 2018)

Particle-mesh coupling in the interaction of fluid and deformable bodies with screen space refraction rendering. - Ka-Hou Chan; Wei Ke 001; Sio Kei Im (Comput. Animat. Virtual Worlds, 2018)

Probability κ-means Clustering for Neural Network Architecture. - Ka-Hou Chan; Wei Ke 001; Sio Kei Im (ICAAI, 2019)

Image resizing enhancement with DCT coefficients. - Ka-Hou Chan; Sio Kei Im; Wei Ke 001 (ICMV, 2019)

Enhancement Spatial Transformer Networks for Text Classification. - Ka-Hou Chan; Sio Kei Im; Vai-Kei Ian; Ka-Man Chan; Wei Ke 001 (ICGSP, 2020)

Self-Adaptive Layer: An Application of Function Approximation Theory to Enhance Convergence Efficiency in Neural Networks. - Ka-Hou Chan; Sio Kei Im; Wei Ke 001 (ICOIN, 2020)

Variable-Depth Convolutional Neural Network for Text Classification. - Ka-Hou Chan; Sio Kei Im; Wei Ke 001 (ICONIP (5), 2020)

CARU: A Content-Adaptive Recurrent Unit for the Transition of Hidden State in NLP. - Ka-Hou Chan; Wei Ke 001; Sio Kei Im (ICONIP (1), 2020)

VGGreNet: A Light-Weight VGGNet with Reused Convolutional Set. - Ka-Hou Chan; Sio Kei Im; Wei Ke 001 (UCC, 2020)

Higher precision range estimation for context-based adaptive binary arithmetic coding. - Sio Kei Im; Ka-Hou Chan (IET Image Process., 2020)

A Subtyping Scheme for Nominal and Structural Types Based on Class Graph Equivalence. - Wei Ke 001; Ka-Hou Chan (ICBTA, 2021)

A Human Activity Recognition Approach Based on Skeleton Extraction and Image Reconstruction. - Yanbing Chen; Wei Ke 001; Ka-Hou Chan; Zhang Xiong 001 (ICGSP, 2021)

A Self-Weighting Module to Improve Sentiment Analysis. - Ka-Hou Chan; Sio Kei Im; Yunfeng Zhang (IJCNN, 2021)

Discrete Tchebichef Transform for Versatile Video Coding. - Ka-Hou Chan; Sio Kei Im (ICMR, 2021)

Chebyshev Ambient Occlusion. - Ka-Hou Chan; Sio Kei Im (IEEE Access, 2021)

A General Method for Generating Discrete Orthogonal Matrices. - Ka-Hou Chan; Wei Ke 001; Sio Kei Im (IEEE Access, 2021)

Pattern Matching Based on Object Graphs. - Wei Ke 001; Ka-Hou Chan (IEEE Access, 2021)

A Multiple Classifier Approach for Concatenate-Designed Neural Networks. - Ka-Hou Chan; Sio Kei Im; Wei Ke 001 (CoRR, 2021)

Data Stream Classification by Using Stacked CARU Networks. - Ka-Hou Chan; Sio Kei Im (BigComp, 2022)

Improving Quantization Matrices for Image Coding by Machine Learning. - Wei Ke 001; Ka-Hou Chan (ICDSP, 2022)

Partial Attention Modeling for Sentiment Analysis of Big Data. - Ka-Hou Chan; Sio Kei Im (ICFSP, 2022)

Optimization of Language Models by Word Computing. - Ka-Hou Chan; Sio Kei Im; Yunfeng Zhang (ICGSP, 2022)

Using Double Bit Range Estimation for CABAC in VVC. - Ka-Hou Chan; Sio Kei Im (ICIGP, 2022)

Double bit range estimation with eight estimators for CABAC in VVC. - Ka-Hou Chan; Sio Kei Im (IET Image Process., 2022)

Multiple classifier for concatenate-designed neural network. - Ka-Hou Chan; Sio Kei Im; Wei Ke 001 (Neural Comput. Appl., 2022)

Multilayer CARU Model for Text Summarization. - Sio Kei Im; Ka-Hou Chan (BigComp, 2023)

Distributed Spatial Transformer for Object Tracking in Multi-Camera. - Sio Kei Im; Ka-Hou Chan (ICACT, 2023)

Faster Inter Prediction by NR-Frame in VVC. - Ka-Hou Chan; Sio Kei Im (ICGSP, 2023)

Context-Adaptive-Based Image Captioning by Bi-CARU. - Sio Kei Im; Ka-Hou Chan (IEEE Access, 2023)

Fusion of Multi-Modal Features to Enhance Dense Video Caption. - Xuefei Huang; Ka-Hou Chan; Weifan Wu; Hao Sheng 001; Wei Ke 001 (Sensors, 2023)

Using Four Hypothesis Probability Estimators for CABAC in Versatile Video Coding. - Ka-Hou Chan; Sio Kei Im (ACM Trans. Multim. Comput. Commun. Appl., 2023)

CABAC-Based ROI Encryption with Mask R-CNN for VVC Codec. - Sio Kei Im; Ka-Hou Chan (IMCOM, 2024)

Dynamic estimator selection for double-bit-range estimation in VVC CABAC entropy coding. - Sio Kei Im; Ka-Hou Chan (IET Image Process., 2024)

Local feature-based video captioning with multiple classifier and CARU-attention. - Sio Kei Im; Ka-Hou Chan (IET Image Process., 2024)

MoEdit: On Learning Quantity Perception for Multi-object Image Editing. - Yanfeng Li; Ka-Hou Chan; Yue Sun; Chan-Tong Lam; Tong Tong 001; Zitong Yu; Keren Fu; Xiaohong Liu 001; Tao Tan 002 (CVPR, 2025)

Contrastive Learning via Randomly Generated Deep Supervision. - Shibo Wang; Zili Ma; Ka-Hou Chan; Yue Liu 001; Tong Tong 001; Qinquan Gao; Guangtao Zhai; Xiaohong Liu 001; Tao Tan 002 (ICASSP, 2025)

Attention-CARU With Texture-Temporal Network for Video Depth Estimation. - Sio Kei Im; Ka-Hou Chan (IEEE Access, 2025)

Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing. - Mingfu Jiang; Shuai Wang; Ka-Hou Chan; Yue Sun; Yi Xu; Zhuoneng Zhang; Qinquan Gao; Zhifan Gao; Tong Tong 001; Hing-Chiu Chang; Tao Tan 002 (Comput. Medical Imaging Graph., 2025)

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis. - Yaofei Duan; Yuhao Huang 001; Xin Yang 009; Luyi Han; Xinyu Xie; Zhiyuan Zhu; Ping He; Ka-Hou Chan; Ligang Cui; Sio Kei Im; Dong Ni 001; Tao Tan 002 (CoRR, 2025)