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ORCIDYiu-Ming Cheung
Yiu-ming Cheung – 張曉明
Person information
- unicode name: 張曉明
- affiliation: Hong Kong Baptist University, Department of Computer Science, Hong Kong
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2020 – today
- 2025
[j186]Lin Cheng, Yanjie Liang, Yang Lu
, Yiu-ming Cheung:
GradToken: Decoupling tokens with class-aware gradient for visual explanation of Transformer network. Neural Networks 181: 106837 (2025)- 2024
- [j185]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 19(1): 24-77 (2024) - [j184]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Yiu-ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 19(3): 9-11 (2024) - [j183]Yuanyuan Fu, Chunyang Wang, Jixin Zhu, Qun Zhang, Yiu-Ming Cheung, Yuping Wang:
Dynamic-MLCS: Fast searching for dynamic multiple longest common subsequences in sequence stream data. Knowl. Based Syst. 293: 111654 (2024) - [j182]Weichao Lan, Yiu-Ming Cheung, Juyong Jiang, Zhikai Hu, Mengke Li:
Compact Neural Network via Stacking Hybrid Units. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 103-116 (2024) - [j181]Hongmin Cai, Weitian Huang, Sirui Yang, Siqi Ding, Yue Zhang, Bin Hu, Fa Zhang, Yiu-Ming Cheung:
Realize Generative Yet Complete Latent Representation for Incomplete Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3637-3652 (2024) - [j180]Hongmin Cai, Yu Hu, Fei Qi, Bin Hu, Yiu-ming Cheung:
Deep Tensor Spectral Clustering Network via Ensemble of Multiple Affinity Tensors. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5080-5091 (2024) - [j179]Hongmin Cai, Yu Wang, Fei Qi, Zhuoyao Wang, Yiu-ming Cheung:
Multiview Tensor Spectral Clustering via Co-Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6795-6808 (2024) - [j178]Zhikai Hu, Yiu-Ming Cheung, Mengke Li, Weichao Lan:
Cross-Modal Hashing Method With Properties of Hamming Space: A New Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7636-7650 (2024) - [j177]Shu-Juan Peng, Jinhan Yi, Xin Liu, Yiu-ming Cheung, Zhen Cui, Taihao Li:
OLCH: Online Label Consistent Hashing for streaming cross-modal retrieval. Pattern Recognit. 150: 110335 (2024) - [j176]Mengke Li, Yiu-ming Cheung, Yang Lu, Zhikai Hu, Weichao Lan, Hui Huang:
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition. IEEE Trans. Artif. Intell. 5(10): 5026-5039 (2024) - [j175]Zhikai Hu, Yiu-Ming Cheung, Mengke Li, Weichao Lan, Donglin Zhang, Qiang Liu:
Joint Semantic Preserving Sparse Hashing for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2989-3002 (2024) - [j174]Xin Liu, Yi He, Yiu-Ming Cheung, Xing Xu, Nannan Wang:
Learning Relationship-Enhanced Semantic Graph for Fine-Grained Image-Text Matching. IEEE Trans. Cybern. 54(2): 948-961 (2024) - [j173]Shu-Juan Peng, Ye Fan, Yiu-ming Cheung, Xin Liu, Zhen Cui, Taihao Li:
Towards Efficient Cross-Modal Anomaly Detection Using Triple-Adaptive Network and Bi-Quintuple Contrastive Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 697-709 (2024) - [j172]Yuqun Yang, Xu Tang, Xiangrong Zhang, Jingjing Ma, Yiu-Ming Cheung, Licheng Jiao:
FDLdet: A Change Detector Based on Forward Dictionary Learning for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j171]Hao-Tian Wu, Yiu-Ming Cheung, Zhihong Tian, Dingcai Liu, Xiangyang Luo, Jiankun Hu:
Lossless Data Hiding in NTRU Cryptosystem by Polynomial Encoding and Modulation. IEEE Trans. Inf. Forensics Secur. 19: 3719-3732 (2024) - [j170]Yichao Tang, Chuntao Wang, Shijun Xiang, Yiu-Ming Cheung:
A Robust Reversible Watermarking Scheme Using Attack-Simulation-Based Adaptive Normalization and Embedding. IEEE Trans. Inf. Forensics Secur. 19: 4114-4129 (2024) - [j169]Xiangan Meng, Qiang Liu, Chao Yang, Le Zhou, Yiu-Ming Cheung:
A Novel Deep Learning-Based Robust Dual-Rate Dynamic Data Modeling for Quality Prediction. IEEE Trans. Ind. Informatics 20(2): 1324-1334 (2024) - [j168]Chao Yang, Qiang Liu, Chen Wang, Jinliang Ding, Yiu-ming Cheung:
Self-Tuning Transfer Dynamic Convolution Autoencoder for Quality Prediction of Multimode Processes With Shifts. IEEE Trans. Ind. Informatics 20(9): 11295-11305 (2024) - [j167]Weiming Mai, Jiangchao Yao, Chen Gong, Ya Zhang, Yiu-Ming Cheung, Bo Han:
Server-Client Collaborative Distillation for Federated Reinforcement Learning. ACM Trans. Knowl. Discov. Data 18(1): 9:1-9:22 (2024) - [j166]Shuxian Li, Liyan Song, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung, Xin Yao:
Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights. IEEE Trans. Knowl. Data Eng. 36(10): 5265-5279 (2024) - [j165]Shu-Juan Peng, Yi He, Xin Liu, Yiu-ming Cheung, Xing Xu, Zhen Cui:
Relation-Aggregated Cross-Graph Correlation Learning for Fine-Grained Image-Text Retrieval. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2194-2207 (2024) - [j164]Shuo Ye, Qinmu Peng, Wenju Sun, Jiamiao Xu, Yu Wang, Xinge You, Yiu-Ming Cheung:
Discriminative Suprasphere Embedding for Fine-Grained Visual Categorization. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5092-5102 (2024) - [j163]Chao Yang, Qiang Liu, Yi Liu, Yiu-Ming Cheung:
Transfer Dynamic Latent Variable Modeling for Quality Prediction of Multimode Processes. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6061-6074 (2024) - [c171]Mengke Li, Zhikai Hu, Yang Lu, Weichao Lan, Yiu-ming Cheung, Hui Huang:
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition. AAAI 2024: 13581-13589 - [c170]Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang:
Federated Learning with Extremely Noisy Clients via Negative Distillation. AAAI 2024: 14184-14192 - [c169]Ning Yang, Hai-Lin Liu, Lei Chen, Yuping Wang, Yiu-ming Cheung:
A Bilevel Evolutionary Algorithm Based on Upper-Level-Driven Lower-Level Search. CEC 2024: 1-7 - [c168]Mengke Li, Da Li, Guoqing Yang, Yiu-ming Cheung, Hui Huang:
Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers. ECAI 2024: 89-96 - [c167]Mingjie Zhao, Sen Feng, Yiqun Zhang, Mengke Li, Yang Lu, Yiu-Ming Cheung:
Learning Order Forest for Qualitative-Attribute Data Clustering. ECAI 2024: 1943-1950 - [c166]Zhikai Hu, Yiu-Ming Cheung, Mengke Li, Weichao Lan, Donglin Zhang:
Key Points Centered Sparse Hashing for Cross-Modal Retrieval. ICASSP 2024: 8431-8435 - [c165]Shenghong Cai, Yiqun Zhang, Xiaopeng Luo, Yiu-Ming Cheung, Hong Jia, Peng Liu:
Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning. ICDCS 2024: 288-299 - [c164]Hongduan Tian, Feng Liu, Tongliang Liu, Bo Du, Yiu-ming Cheung, Bo Han:
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence. ICML 2024 - [c163]Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye:
Interpreting and Improving Large Language Models in Arithmetic Calculation. ICML 2024 - [c162]Pengkai Wang, Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Yiu-ming Cheung:
Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values. IJCNN 2024: 1-8 - [c161]Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang, Yiu-ming Cheung:
QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering. KDD 2024: 297-306 - [c160]Zhikai Hu, Yiu-ming Cheung, Yonggang Zhang, Peiying Zhang, Pui-ling Tang:
Component-Level Oracle Bone Inscription Retrieval. ICMR 2024: 647-656 - [c159]Quanxing Zha, Xin Liu, Yiu-ming Cheung, Xing Xu, Nannan Wang, Jianjia Cao:
UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching. SIGIR 2024: 852-861 - [i28]Jintao Huang, Yiu-Ming Cheung:
Trustworthy Partial Label Learning with Out-of-distribution Detection. CoRR abs/2403.06681 (2024) - [i27]Weichao Lan, Yiu-ming Cheung, Qing Xu, Buhua Liu, Zhikai Hu, Mengke Li, Zhenghua Chen:
Improve Knowledge Distillation via Label Revision and Data Selection. CoRR abs/2404.03693 (2024) - [i26]Yongqi Xu, Yujian Lee, Rong Zou, Yiqun Zhang, Yiu-Ming Cheung:
LSROM: Learning Self-Refined Organizing Map for Fast Imbalanced Streaming Data Clustering. CoRR abs/2404.09243 (2024) - [i25]Hongduan Tian, Feng Liu, Tongliang Liu, Bo Du, Yiu-ming Cheung, Bo Han:
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence. CoRR abs/2405.18786 (2024) - [i24]Mengke Li, Da Li, Guoqing Yang, Yiu-ming Cheung, Hui Huang:
Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers. CoRR abs/2407.13200 (2024) - [i23]Qingyuan Zeng, Zhenzhong Wang, Yiu-ming Cheung, Min Jiang:
Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models. CoRR abs/2408.08989 (2024) - [i22]Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye:
Interpreting and Improving Large Language Models in Arithmetic Calculation. CoRR abs/2409.01659 (2024) - [i21]Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu:
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion. CoRR abs/2410.20380 (2024) - [i20]Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-ming Cheung, Hui Huang:
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition. CoRR abs/2410.21042 (2024) - [i19]Xiufeng Huang, Ruiqi Li, Yiu-ming Cheung, Ka Chun Cheung, Simon See, Renjie Wan:
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting. CoRR abs/2410.23718 (2024) - 2023
- [j162]Weiping Ding, Javier Andréu Pérez, Yiu-ming Cheung, Swagatam Das, Xiaodong Yue, Dariusz Mrozek:
Special issue on fuzzy systems for biomedical science in healthcare. Appl. Soft Comput. 132: 109834 (2023) - [j161]Wei Li, Cancan Wang, Ying Huang, Yiu-ming Cheung:
Heuristic smoothing ant colony optimization with differential information for the traveling salesman problem. Appl. Soft Comput. 133: 109943 (2023) - [j160]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(1): 17-19 (2023) - [j159]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(2): 13-15 (2023) - [j158]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(3): 10-86 (2023) - [j157]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(4): 10-12 (2023) - [j156]Wei Li, Bo Sun, Yafeng Sun, Ying Huang, Yiu-ming Cheung, Fangqing Gu:
DC-SHADE-IF: An infeasible-feasible regions constrained optimization approach with diversity controller. Expert Syst. Appl. 224: 119999 (2023) - [j155]Fangqing Gu, Haosen Liu, Yiu-ming Cheung, Hai-Lin Liu:
A constrained multiobjective evolutionary algorithm based on adaptive constraint regulation. Knowl. Based Syst. 260: 110112 (2023) - [j154]Mengke Li, Yiu-Ming Cheung, Zhikai Hu:
Key Point Sensitive Loss for Long-Tailed Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4812-4825 (2023) - [j153]Jinjun Ren, Yuping Wang, Yiu-ming Cheung, Xiao Zhi Gao, Xiaofang Guo:
Grouping-based Oversampling in Kernel Space for Imbalanced Data Classification. Pattern Recognit. 133: 108992 (2023) - [j152]Yichao Tang, Shuai Wang, Chuntao Wang, Shijun Xiang, Yiu-Ming Cheung:
A Highly Robust Reversible Watermarking Scheme Using Embedding Optimization and Rounded Error Compensation. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1593-1609 (2023) - [j151]Hao-Tian Wu, Yiu-Ming Cheung, Zhenwei Zhuang, Lingling Xu, Jiankun Hu:
Lossless Data Hiding in Encrypted Images Compatible With Homomorphic Processing. IEEE Trans. Cybern. 53(6): 3688-3701 (2023) - [j150]Mengke Li, Yiu-ming Cheung:
Identity-Preserved Complete Face Recovering Network for Partial Face Image. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 604-609 (2023) - [j149]Yuqun Yang, Xu Tang, Yiu-Ming Cheung, Xiangrong Zhang, Licheng Jiao:
SAGN: Semantic-Aware Graph Network for Remote Sensing Scene Classification. IEEE Trans. Image Process. 32: 1011-1025 (2023) - [j148]Shiwei Wei, Yuping Wang, Yiu-ming Cheung:
A Branch Elimination-Based Efficient Algorithm for Large-Scale Multiple Longest Common Subsequence Problem. IEEE Trans. Knowl. Data Eng. 35(3): 2179-2192 (2023) - [j147]Xin Liu, Jinhan Yi, Yiu-ming Cheung, Xing Xu, Zhen Cui:
OMGH: Online Manifold-Guided Hashing for Flexible Cross-Modal Retrieval. IEEE Trans. Multim. 25: 3811-3824 (2023) - [j146]Wei Huang, Yintao Zhou, Yiu-ming Cheung, Peng Zhang, Yufei Zha, Meng Pang:
Facial Expression Guided Diagnosis of Parkinson's Disease via High-Quality Data Augmentation. IEEE Trans. Multim. 25: 7037-7050 (2023) - [j145]Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yiran Chen, Bihan Wen:
DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person. IEEE Trans. Neural Networks Learn. Syst. 34(2): 867-881 (2023) - [j144]Yiqun Zhang, Yiu-Ming Cheung:
Graph-Based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6530-6544 (2023) - [j143]Zhengqiang Zhang, Qinmu Peng, Sichao Fu, Wenjie Wang, Yiu-Ming Cheung, Yue Zhao, Shujian Yu, Xinge You:
A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7541-7554 (2023) - [j142]Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, Kay Chen Tan, Bing Xue, Mengjie Zhang:
Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7621-7634 (2023) - [c158]Lang Zhao, Yiqun Zhang, Xiaopeng Luo, Yue Zhang, Yiu-Ming Cheung, Kangshun Li:
Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis. BIBM 2023: 771-778 - [c157]Yan Jin, Mengke Li, Yang Lu, Yiu-ming Cheung, Hanzi Wang:
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation. CVPR 2023: 23695-23704 - [c156]Shuxian Li, Liyan Song, Yiu-ming Cheung, Xin Yao:
BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning. ECAI 2023: 1414-1421 - [c155]Yang Lu, Yiliang Zhang, Bo Han, Yiu-Ming Cheung, Hanzi Wang:
Label-Noise Learning with Intrinsically Long-Tailed Data. ICCV 2023: 1369-1378 - [c154]Zhikai Hu, Yiu-Ming Cheung, Mengke Li, Weichao Lan:
Few-Shot Lip-Password Based Speaker Verification. ICIP 2023: 1960-1964 - [c153]Xueting Jiang, Xin Liu, Yiu-Ming Cheung, Xing Xu, Shu-Kai Zheng, Taihao Li:
Label-Semantic-Enhanced Online Hashing for Efficient Cross-modal Retrieval. ICME 2023: 984-989 - [c152]Guancheng Chen, Xin Liu, Xing Xu, Yiu-Ming Cheung, Taihao Li:
Taking a Part for the Whole: An Archetype-agnostic Framework for Voice-Face Association. ACM Multimedia 2023: 7056-7064 - [c151]Shuxian Li, Liyan Song, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung, Xin Yao:
ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification. ECML/PKDD (2) 2023: 103-120 - [i18]Hongmin Cai, Fei Qi, Junyu Li, Yu Hu, Yue Zhang, Yiu-ming Cheung, Bin Hu:
Uniform tensor clustering by jointly exploring sample affinities of various orders. CoRR abs/2302.01569 (2023) - [i17]Xinyi Shang, Gang Huang, Yang Lu, Jian Lou, Bo Han, Yiu-ming Cheung, Hanzi Wang:
Federated Semi-Supervised Learning with Annotation Heterogeneity. CoRR abs/2303.02445 (2023) - [i16]Yan Jin, Mengke Li, Yang Lu, Yiu-ming Cheung, Hanzi Wang:
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation. CoRR abs/2304.01279 (2023) - [i15]Mengke Li, Yiu-ming Cheung, Yang Lu, Zhikai Hu, Weichao Lan, Hui Huang:
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition. CoRR abs/2305.10648 (2023) - [i14]Mengke Li, Yiu-ming Cheung, Juyong Jiang:
Feature-Balanced Loss for Long-Tailed Visual Recognition. CoRR abs/2305.10772 (2023) - [i13]Mengke Li, Yiu-ming Cheung, Yang Lu:
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment. CoRR abs/2305.11733 (2023) - [i12]Mengke Li, Zhikai Hu, Yang Lu, Weichao Lan, Yiu-ming Cheung, Hui Huang:
Feature Fusion from Head to Tail: an Extreme Augmenting Strategy for Long-Tailed Visual Recognition. CoRR abs/2306.06963 (2023) - [i11]Xiaoge Zhang, Xiao-Lin Wang, Fenglei Fan, Yiu-Ming Cheung, Indranil Bose:
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge. CoRR abs/2311.17303 (2023) - [i10]Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang:
Federated Learning with Extremely Noisy Clients via Negative Distillation. CoRR abs/2312.12703 (2023) - 2022
- [j141]Hui-Lan Luo, Han Chen, Yiu-Ming Cheung, Yawei Yu:
Spatial-temporal interaction module for action recognition. J. Electronic Imaging 31(4) (2022) - [j140]Jinjun Ren, Yuping Wang, Mingqian Mao, Yiu-ming Cheung:
Equalization ensemble for large scale highly imbalanced data classification. Knowl. Based Syst. 242: 108295 (2022) - [j139]Junhua Liu, Yuping Wang, Yiu-ming Cheung:
A Cα-dominance-based solution estimation evolutionary algorithm for many-objective optimization. Knowl. Based Syst. 248: 108738 (2022) - [j138]Yiqun Zhang, Yiu-ming Cheung:
Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3560-3576 (2022) - [j137]Hao-Tian Wu, Xin Cao, Ruoyan Jia, Yiu-Ming Cheung:
Reversible Data Hiding With Brightness Preserving Contrast Enhancement by Two-Dimensional Histogram Modification. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7605-7617 (2022) - [j136]Yiqun Zhang, Yiu-Ming Cheung:
A New Distance Metric Exploiting Heterogeneous Interattribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering. IEEE Trans. Cybern. 52(2): 758-771 (2022) - [j135]Qiquan Shi, Yiu-Ming Cheung, Jian Lou:
Robust Tensor SVD and Recovery With Rank Estimation. IEEE Trans. Cybern. 52(10): 10667-10682 (2022) - [j134]Fangqing Gu, Hai-Lin Liu, Yiu-Ming Cheung, Minyi Zheng:
A Rough-to-Fine Evolutionary Multiobjective Optimization Algorithm. IEEE Trans. Cybern. 52(12): 13472-13485 (2022) - [j133]Xiaoming Xue, Cuie Yang, Yao Hu, Kai Zhang, Yiu-Ming Cheung, Linqi Song, Kay Chen Tan:
Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems. IEEE Trans. Evol. Comput. 26(6): 1424-1438 (2022) - [j132]Xu Tang, Yuqun Yang, Jingjing Ma, Yiu-Ming Cheung, Chao Liu, Fang Liu, Xiangrong Zhang, Licheng Jiao:
Meta-Hashing for Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j131]Yuqun Yang, Xu Tang, Yiu-Ming Cheung, Xiangrong Zhang, Fang Liu, Jingjing Ma, Licheng Jiao:
AR2Det: An Accurate and Real-Time Rotational One-Stage Ship Detector in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j130]Meng Pang, Binghui Wang, Siyu Huang, Yiu-Ming Cheung, Bihan Wen:
A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains. IEEE Trans. Inf. Forensics Secur. 17: 1544-1557 (2022) - [j129]Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, Kay Chen Tan:
Concept Drift-Tolerant Transfer Learning in Dynamic Environments. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3857-3871 (2022) - [j128]Xin Liu, Xingzhi Wang, Yiu-Ming Cheung:
FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6306-6320 (2022) - [c150]Meng Pang, Binghui Wang, Shengbo Chen, Yiu-ming Cheung, Rong Zou, Wei Huang:
Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors. CIKM 2022: 4369-4373 - [c149]Mengke Li, Yiu-Ming Cheung, Yang Lu:
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment. CVPR 2022: 6919-6928 - [c148]Shiwei Wei, Yuping Wang, Yiu-ming Cheung:
A Branch Elimination-based Efficient Algorithm for Large-scale Multiple Longest Common Subsequence Problem (Extended Abstract). ICDE 2022: 1485-1486 - [c147]Zhenning Yu, Xin Liu, Yiu-Ming Cheung, Minghang Zhu, Xing Xu, Nannan Wang, Taihao Li:
Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching. ICDM 2022: 648-655 - [c146]Mengke Li, Yiu-Ming Cheung, Juyong Jiang:
Feature-Balanced Loss for Long-Tailed Visual Recognition. ICME 2022: 1-6 - [c145]Xinyi Shang, Yang Lu, Yiu-Ming Cheung, Hanzi Wang:
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation. ICME 2022: 1-6 - [c144]Yiqun Zhang, Yiu-ming Cheung, An Zeng:
Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering. IJCAI 2022: 3758-3765 - [i9]Yiu-ming Cheung, Juyong Jiang, Feng Yu, Jian Lou:
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data. CoRR abs/2203.01752 (2022) - [i8]