Ka-Hou Chan - RankMe

55 papers A* 1A 1B 3C 4Misc 2Journal 21Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SGAFNet: Robust brain tumor segmentation via learnable sequence-guided adaptive fusion in available MRI acquisitions. Comput. Medical Imaging Graph. Zhuoneng Zhang, Luyi Han, Dengqiang Jia, Tianyu Zhang, Zehui Lin, Ka-Hou Chan, Jiaju Huang, Shaobin Chen, Xiangyu Xiong, Sio Kei Im, Tao Tan, Yue Sun
2026	J	`jnl`	Synergistic perception: Fusing expert knowledge and foundation models for semi-supervised mammogram segmentation. Biomed. Signal Process. Control. Jiaju Huang, Xin Wang, Xiangyu Xiong, Shaobin Chen, Yue Sun, Ka-Hou Chan, Tong Tong, Qinquan Gao, Yi Xu, Shuo Li, Tao Tan
2025	—	`conf`	ADAptation: Reconstruction-Based Unsupervised Active Learning for Breast Ultrasound Diagnosis. MICCAI (16) Yaofei Duan, Yuhao Huang, Xin Yang, Luyi Han, Xinyu Xie, Zhiyuan Zhu, Ping He, Ka-Hou Chan, Ligang Cui, Sio Kei Im, Dong Ni, Tao Tan
2025	J	`jnl`	ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis. CoRR Yaofei Duan, Yuhao Huang, Xin Yang, Luyi Han, Xinyu Xie, Zhiyuan Zhu, Ping He, Ka-Hou Chan, Ligang Cui, Sio Kei Im, Dong Ni, Tao Tan
2025	J	`jnl`	Attention-CARU With Texture-Temporal Network for Video Depth Estimation. IEEE Access Sio Kei Im, Ka-Hou Chan
2025	Misc	`conf`	Contrastive Learning via Randomly Generated Deep Supervision. ICASSP Shibo Wang, Zili Ma, Ka-Hou Chan, Yue Liu, Tong Tong, Qinquan Gao, Guangtao Zhai, Xiaohong Liu, Tao Tan
2025	A*	`conf`	MoEdit: On Learning Quantity Perception for Multi-object Image Editing. CVPR Yanfeng Li, Ka-Hou Chan, Yue Sun, Chan-Tong Lam, Tong Tong, Zitong Yu, Keren Fu, Xiaohong Liu, Tao Tan
2025	J	`jnl`	MoEdit: On Learning Quantity Perception for Multi-object Image Editing. CoRR Yanfeng Li, Ka-Hou Chan, Yue Sun, Chan-Tong Lam, Tong Tong, Zitong Yu, Keren Fu, Xiaohong Liu, Tao Tan
2025	J	`jnl`	Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing. Comput. Medical Imaging Graph. Mingfu Jiang, Shuai Wang, Ka-Hou Chan, Yue Sun, Yi Xu, Zhuoneng Zhang, Qinquan Gao, Zhifan Gao, Tong Tong, Hing-Chiu Chang, Tao Tan
2025	—	`conf`	RefineNet: Elevating Medical Foundation Models Through Quality-Centric Data Curation by MLLM-Annotated Proxy Distillation. MICCAI (11) Ningyi Zhang, Yuan Gao, Xin Wang, Ka-Hou Chan, Jian Wu, Chan-Tong Lam, Shanshan Wang, Yue Sun, Sio Kei Im, Tao Tan
2024	—	`conf`	CABAC-Based ROI Encryption with Mask R-CNN for VVC Codec. IMCOM Sio Kei Im, Ka-Hou Chan
2024	J	`jnl`	Dynamic estimator selection for double-bit-range estimation in VVC CABAC entropy coding. IET Image Process. Sio Kei Im, Ka-Hou Chan
2024	J	`jnl`	Local feature-based video captioning with multiple classifier and CARU-attention. IET Image Process. Sio Kei Im, Ka-Hou Chan
2023	J	`jnl`	Context-Adaptive-Based Image Captioning by Bi-CARU. IEEE Access Sio Kei Im, Ka-Hou Chan
2023	—	`conf`	Distributed Spatial Transformer for Object Tracking in Multi-Camera. ICACT Sio Kei Im, Ka-Hou Chan
2023	—	`conf`	Faster Inter Prediction by NR-Frame in VVC. ICGSP Ka-Hou Chan, Sio Kei Im
2023	J	`jnl`	Fusion of Multi-Modal Features to Enhance Dense Video Caption. Sensors Xuefei Huang, Ka-Hou Chan, Weifan Wu, Hao Sheng, Wei Ke
2023	—	`conf`	Multilayer CARU Model for Text Summarization. BigComp Sio Kei Im, Ka-Hou Chan
2023	J	`jnl`	Using Four Hypothesis Probability Estimators for CABAC in Versatile Video Coding. ACM Trans. Multim. Comput. Commun. Appl. Ka-Hou Chan, Sio Kei Im
2022	—	`conf`	Data Stream Classification by Using Stacked CARU Networks. BigComp Ka-Hou Chan, Sio Kei Im
2022	J	`jnl`	Double bit range estimation with eight estimators for CABAC in VVC. IET Image Process. Ka-Hou Chan, Sio Kei Im
2022	—	`conf`	Improving Quantization Matrices for Image Coding by Machine Learning. ICDSP Wei Ke, Ka-Hou Chan
2022	J	`jnl`	Multiple classifier for concatenate-designed neural network. Neural Comput. Appl. Ka-Hou Chan, Sio Kei Im, Wei Ke
2022	—	`conf`	Optimization of Language Models by Word Computing. ICGSP Ka-Hou Chan, Sio Kei Im, Yunfeng Zhang
2022	—	`conf`	Partial Attention Modeling for Sentiment Analysis of Big Data. ICFSP Ka-Hou Chan, Sio Kei Im
2022	—	`conf`	Using Double Bit Range Estimation for CABAC in VVC. ICIGP Ka-Hou Chan, Sio Kei Im
2021	J	`jnl`	A General Method for Generating Discrete Orthogonal Matrices. IEEE Access Ka-Hou Chan, Wei Ke, Sio Kei Im
2021	J	`jnl`	A General Method for Generating Discrete Orthogonal Matrices. CoRR Ka-Hou Chan, Wei Ke, Sio Kei Im
2021	—	`conf`	A Human Activity Recognition Approach Based on Skeleton Extraction and Image Reconstruction. ICGSP Yanbing Chen, Wei Ke, Ka-Hou Chan, Zhang Xiong
2021	J	`jnl`	A Multiple Classifier Approach for Concatenate-Designed Neural Networks. CoRR Ka-Hou Chan, Sio Kei Im, Wei Ke
2021	B	`conf`	A Self-Weighting Module to Improve Sentiment Analysis. IJCNN Ka-Hou Chan, Sio Kei Im, Yunfeng Zhang
2021	—	`conf`	A Subtyping Scheme for Nominal and Structural Types Based on Class Graph Equivalence. ICBTA Wei Ke, Ka-Hou Chan
2021	J	`jnl`	Chebyshev Ambient Occlusion. IEEE Access Ka-Hou Chan, Sio Kei Im
2021	B	`conf`	Discrete Tchebichef Transform for Versatile Video Coding. ICMR Ka-Hou Chan, Sio Kei Im
2021	J	`jnl`	Pattern Matching Based on Object Graphs. IEEE Access Wei Ke, Ka-Hou Chan
2020	—	`conf`	CARU: A Content-Adaptive Recurrent Unit for the Transition of Hidden State in NLP. ICONIP (1) Ka-Hou Chan, Wei Ke, Sio Kei Im
2020	—	`conf`	Enhancement Spatial Transformer Networks for Text Classification. ICGSP Ka-Hou Chan, Sio Kei Im, Vai-Kei Ian, Ka-Man Chan, Wei Ke
2020	J	`jnl`	Higher precision range estimation for context-based adaptive binary arithmetic coding. IET Image Process. Sio Kei Im, Ka-Hou Chan
2020	—	`conf`	Self-Adaptive Layer: An Application of Function Approximation Theory to Enhance Convergence Efficiency in Neural Networks. ICOIN Ka-Hou Chan, Sio Kei Im, Wei Ke
2020	Misc	`conf`	VGGreNet: A Light-Weight VGGNet with Reused Convolutional Set. UCC Ka-Hou Chan, Sio Kei Im, Wei Ke
2020	—	`conf`	Variable-Depth Convolutional Neural Network for Text Classification. ICONIP (5) Ka-Hou Chan, Sio Kei Im, Wei Ke
2019	C	`conf`	Image resizing enhancement with DCT coefficients. ICMV Ka-Hou Chan, Sio Kei Im, Wei Ke
2019	—	`conf`	Probability κ-means Clustering for Neural Network Architecture. ICAAI Ka-Hou Chan, Wei Ke, Sio Kei Im
2018	—	`conf`	Improving the Discrete Cosine Transform by the Sign Symbol Feature in H.265/HEVC. ICGSP Sio Kei Im, Ka-Hou Chan
2018	J	`jnl`	Particle-mesh coupling in the interaction of fluid and deformable bodies with screen space refraction rendering. Comput. Animat. Virtual Worlds Ka-Hou Chan, Wei Ke, Sio Kei Im
2018	—	`conf`	SinP[N]: A Fast Convergence Activation Function for Convolutional Neural Networks. UCC Companion Ka-Hou Chan, Sio Kei Im, Wei Ke, Ngan-Lin Lei
2017	J	`jnl`	A Social Media Mining and Analysis Approach for Supporting Cyber Youth Work. Int. J. Knowl. Syst. Sci. Wai Ming Wang, Benny C. F. Cheung, Zeno C. S. Leung, Ka-Hou Chan, Eric Wing Kuen See-To
2017	C	`conf`	Efficient mode decision with enhanced sampling algorithm for HEVC. WoWMoM Sio Kei Im, Ka-Hou Chan
2017	B	`conf`	Fast Binarisation with Chebyshev Inequality. DocEng Ka-Hou Chan, Sio Kei Im, Wei Ke
2017	—	`conf`	Fast Grid-Based Fluid Dynamics Simulation with Conservation of Momentum and Kinetic Energy on GPU. ICIG (3) Ka-Hou Chan, Sio Kei Im
2017	—	`conf`	Fast Intra Prediction Algorithm with Enhanced Sampling Decision for H.265/HEVC. VISIGRAPP (4: VISAPP) Sio Kei Im, Mohammad Mahdi Ghandi, Ka-Hou Chan
2016	C	`conf`	Non-integer bit estimation for enhanced inter-picture prediction in H.265/HEVC. WoWMoM Sio Kei Im, Mohammad Mahdi Ghandi, Ka-Hou Chan
2015	C	`conf`	Multi-lambda search for improved rate-distortion optimization of H.265/HEVC. ICICS Sio Kei Im, Ka-Hou Chan
2015	—	`conf`	Simulation of Interaction Between Fluid and Deformable Bodies. ICIG (3) Ka-Hou Chan, Wen Wu, Wei Ke
2013	A	`conf`	PredictionIO: a distributed machine learning server for practical software development. CIKM Simon Chan, Thomas Stone, Kit Pang Szeto, Ka-Hou Chan