Ka Chun Cheung

According to our database, Ka Chun Cheung authored at least 44 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A multi-modal deep language model for contaminant removal from metagenome-assembled genomes.

Bohao Zou, Jingjing Wang, Yi Ding, Zhenmiao Zhang, Yufen Huang, Xiaodong Fang, Ka Chun Cheung, Simon See, Lu Zhang

Nat. Mac. Intell., 2024

Learning computational upscaling models for a class of convection-diffusion equations.

Tsz Fung Yu, Eric T. Chung, Ka Chun Cheung, Lina Zhao

J. Comput. Appl. Math., 2024

GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting.

Xiufeng Huang, Ruiqi Li, Yiu-ming Cheung, Ka Chun Cheung, Simon See, Renjie Wan

CoRR, 2024

Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images.

Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan

CoRR, 2024

TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction.

Xingzhi Zhou, Xin Dong, Chunhao Li, Yuning Bai, Yulong Xu, Ka Chun Cheung, Simon See, Xinpeng Song, Runshun Zhang, Xuezhong Zhou, Nevin L. Zhang

CoRR, 2024

Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank.

Xingzhi Zhou, Zhiliang Tian, Ka Chun Cheung, Simon See, Nevin L. Zhang

CoRR, 2024

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling.

Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang, Weikang Bian, Dasong Li, Yi Zhang, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Unlocking Continual Learning Abilities in Language Models.

Wenyu Du, Shuang Cheng, Tongxu Luo, Zihan Qiu, Zeyu Huang, Ka Chun Cheung, Reynold Cheng, Jie Fu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model.

Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan

Proceedings of the Computer Vision - ECCV 2024, 2024

GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields.

Xiufeng Huang, Ka Chun Cheung, Simon See, Renjie Wan

Proceedings of the Computer Vision - ECCV 2024, 2024

AHIVE: Anatomy-Aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval.

Sixing Yan, William K. Cheung, Ivor W. Tsang, Keith Chin, Terence M. Tong, Ka Chun Cheung, Simon See

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RegionGPT: Towards Region Understanding Vision Language Model.

Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Transfer Learning With Singular Value Decomposition of Multichannel Convolution Matrices.

Tak Shing Au Yeung, Ka Chun Cheung, Michael K. Ng, Simon See, Andy M. Yip

Neural Comput., October, 2023

A Kernel-Based Least-Squares Collocation Method for Surface Diffusion.

Meng Chen, Ka Chun Cheung, Leevan Ling

SIAM J. Numer. Anal., June, 2023

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation.

Sixing Yan, William K. Cheung, Wan Hang Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See

IEEE Trans. Medical Imaging, 2023

IRCasTRF: Inverse Rendering by Optimizing Cascaded Tensorial Radiance Fields, Lighting, and Materials From Multi-view Images.

Wenpeng Xing, Jie Chen, Ka Chun Cheung, Simon See

Proceedings of the 31st ACM International Conference on Multimedia, 2023

VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation.

Xiaoyu Shi, Zhaoyang Huang, Weikang Bian, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields.

Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses.

Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation.

Xiaoyu Shi, Zhaoyang Huang, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Simple Baseline for Video Restoration with Grouped Spatial-Temporal Shift.

Dasong Li, Xiaoyu Shi, Yi Zhang, Ka Chun Cheung, Simon See, Xiaogang Wang, Hongwei Qin, Hongsheng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension.

Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

NeuralMarker: A Framework for Learning General Marker Correspondence.

Zhaoyang Huang, Xiaokun Pan, Weihong Pan, Weikang Bian, Yan Xu, Ka Chun Cheung, Guofeng Zhang, Hongsheng Li

ACM Trans. Graph., 2022

Learning rays via deep neural network in a ray-based IPDG method for high-frequency Helmholtz equations in inhomogeneous media.

Tak Shing Au Yeung, Ka Chun Cheung, Eric T. Chung, Shubin Fu, Jianliang Qian

J. Comput. Phys., 2022

Satisficing credibility for heterogeneous risks.

Ka Chun Cheung, Sheung Chi Phillip Yam, Yiying Zhang

Eur. J. Oper. Res., 2022

NVIDIA-UNIBZ Submission for EPIC-KITCHENS-100 Action Anticipation Challenge 2022.

Tsung-Ming Tai, Oswald Lanz, Giuseppe Fiameni, Yi-Kwan Wong, Sze-Sen Poon, Cheng-Kuang Lee, Ka Chun Cheung, Simon See

CoRR, 2022

SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition.

Yihang Gao, Ka Chun Cheung, Michael K. Ng

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model.

Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao, Ka Chun Cheung, Nevin Lianwen Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation.

Dongkyu Lee, Ka Chun Cheung, Nevin L. Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning Degradation Representations for Image Deblurring.

Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2022, 2022

FlowFormer: A Transformer Architecture for Optical Flow.

Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2022, 2022

MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection.

Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

LIFE: Lighting Invariant Flow Estimation.

Zhaoyang Huang, Xiaokun Pan, Runsen Xu, Yan Xu, Ka Chun Cheung, Guofeng Zhang, Hongsheng Li

CoRR, 2021

Recent advance in machine learning for partial differential equation.

Ka Chun Cheung, Simon See

CCF Trans. High Perform. Comput., 2021

2020

On the uncertainty of VaR of individual risk.

Ka Chun Cheung, Fei Lung Yuen

J. Comput. Appl. Math., 2020

Self-Attention-Based Fully-Inception Networks for Continuous Sign Language Recognition.

Mingjie Zhou, Michael Ng, Zixin Cai, Ka Chun Cheung

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Understanding Top-k Sparsification in Distributed Deep Learning.

Shaohuai Shi, Xiaowen Chu, Ka Chun Cheung, Simon See

CoRR, 2019

Discrete least-squares radial basis functions approximations.

Siqing Li, Leevan Ling, Ka Chun Cheung

Appl. Math. Comput., 2019

2018

A Kernel-Based Embedding Method and Convergence Analysis for Surfaces PDEs.

Ka Chun Cheung, Leevan Ling

SIAM J. Sci. Comput., 2018

H²-Convergence of Least-Squares Kernel Collocation Methods.

Ka Chun Cheung, Leevan Ling, Robert Schaback

SIAM J. Numer. Anal., 2018

Probabilistic solutions for a class of deterministic optimal allocation problems.

Ka Chun Cheung, Jan Dhaene, Yian Rong, Sheung Chi Phillip Yam

J. Comput. Appl. Math., 2018

2017

Multivariate countermonotonicity and the minimal copulas.

Woojoo Lee, Ka Chun Cheung, Jae Youn Ahn

J. Comput. Appl. Math., 2017

Robust and Pareto optimality of insurance contracts.

Alexandru V. Asimit, Valeria Bignozzi, Ka Chun Cheung, Junlei Hu, Eun-Seok Kim

Eur. J. Oper. Res., 2017

2015

A localized meshless method for diffusion on folded surfaces.

Ka Chun Cheung, Leevan Ling, Steven J. Ruuth

J. Comput. Phys., 2015