A fast recursive total least squares algorithm for adaptive FIR filtering. - Da-Zheng Feng; Xian-Da Zhang; Dong-Xia Chang; Wei Xing Zheng 001 (IEEE Trans. Signal Process., 2004)

A fast recursive total least squares algorithm for adaptive IIR filtering. - Dong-Xia Chang; Da-Zheng Feng; Wei Xing Zheng 001; Lei Li (IEEE Trans. Signal Process., 2005)

A genetic algorithm with gene rearrangement for K-means clustering. - Dong-Xia Chang; Xian-Da Zhang; Changwen Zheng (Pattern Recognit., 2009)

A robust dynamic niching genetic algorithm with niche migration for automatic clustering problem. - Dong-Xia Chang; Xian-Da Zhang; Changwen Zheng; Daoming Zhang (Pattern Recognit., 2010)

A Dynamic Niching Quantum Genetic Algorithm for Automatic Evolution of Clusters. - Dongxia Chang; Yao Zhao 001 (CAIP (2), 2011)

A robust dynamic niching genetic clustering approach for image segmentation. - Dongxia Chang; Yao Zhao 001; Yanhui Xiao (GECCO, 2011)

A genetic clustering algorithm using a message-based similarity measure. - Dongxia Chang; Yao Zhao 001; Changwen Zheng; Xianda Zhang 001 (Expert Syst. Appl., 2012)

A novel genetic clustering algorithm with variable-length chromosome representation. - Ming-an Zhang; Yong Deng; Dong-Xia Chang (GECCO (Companion), 2014)

A novel quantum genetic clustering algorithm for data segmentation. - Ming-an Zhang; Yong Deng; Dong-Xia Chang (GECCO (Companion), 2014)

Orthogonal and Smooth Subspace Based on Sparse Coding for Image Classification. - Fushuang Dai; Yao Zhao 001; Dongxia Chang; Chunyu Lin (PCM (2), 2015)

A dynamic niching clustering algorithm based on individual-connectedness and its application to color image segmentation. - Dongxia Chang; Yao Zhao 001; Lian Liu; Changwen Zheng (Pattern Recognit., 2016)

Adaptive Multiple Description Depth Image Coding Based on Wavelet Sub-band Coefficients. - Jingyuan Ma; Huihui Bai 001; Meiqin Liu 002; Dongxia Chang; Rongrong Ni; Yao Zhao 001 (IIH-MSP (2), 2017)

An Automatic Clustering Algorithm Based on Region Segmentation. - Zhaowei Chen; Dongxia Chang; Yao Zhao 001 (IEEE Access, 2018)

A new clustering algorithm based on the connected region generation. - Liuwei Feng; Dongxia Chang; Yao Zhao 001 (KSII Trans. Internet Inf. Syst., 2018)

Learning a General Assignment Model for Video Analytics. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001; Dongxia Chang (IEEE Trans. Circuits Syst. Video Technol., 2018)

Seeing All From a Few: ℓ1-Norm-Induced Discriminative Prototype Selection. - Xingxing Zhang 001; Zhenfeng Zhu; Yao Zhao 001; Dongxia Chang; Ji Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

A new Ensemble Clustering Algorithm using a Reconstructed Mapping Coefficient. - Tuoqia Cao; Dongxia Chang; Yao Zhao 001 (KSII Trans. Internet Inf. Syst., 2020)

Double Low-Rank Representation With Projection Distance Penalty for Clustering. - Zhiqiang Fu; Yao Zhao 001; Dongxia Chang; Xingxing Zhang 001; Yiming Wang 007 (CVPR, 2021)

Incomplete Multi-view Clustering via Cross-view Relation Transfer. - Yiming Wang 007; Dongxia Chang; Zhiqiang Fu; Yao Zhao 001 (CoRR, 2021)

A new blind image denoising method based on asymmetric generative adversarial network. - Yiming Wang 007; Dongxia Chang; Yao Zhao 001 (IET Image Process., 2021)

A hierarchical weighted low-rank representation for image clustering and classification. - Zhiqiang Fu; Yao Zhao 001; Dongxia Chang; Yiming Wang 007 (Pattern Recognit., 2021)

One-step Low-Rank Representation for Clustering. - Zhiqiang Fu; Yao Zhao 001; Dongxia Chang; Yiming Wang 007; Jie Wen 001; Xingxing Zhang 001; Guodong Guo (ACM Multimedia, 2022)

ACTIVE: Augmentation-Free Graph Contrastive Learning for Partial Multi-View Clustering. - Yiming Wang 007; Dongxia Chang; Zhiqiang Fu; Jie Wen 001; Yao Zhao 001 (CoRR, 2022)

Cross-view Graph Contrastive Representation Learning on Partially Aligned Multi-view Data. - Yiming Wang 007; Dongxia Chang; Zhiqiang Fu; Jie Wen 001; Yao Zhao 001 (CoRR, 2022)

Contour enhanced image super-resolution. - Linhua Kong; Yiming Wang 007; Dongxia Chang; Yao Zhao 001 (J. Vis. Commun. Image Represent., 2022)

Auto-weighted low-rank representation for clustering. - Zhiqiang Fu; Yao Zhao 001; Dongxia Chang; Xingxing Zhang 001; Yiming Wang 007 (Knowl. Based Syst., 2022)

Incomplete Multiview Clustering via Cross-View Relation Transfer. - Yiming Wang 007; Dongxia Chang; Zhiqiang Fu; Jie Wen 001; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Graph Contrastive Partial Multi-View Clustering. - Yiming Wang 007; Dongxia Chang; Zhiqiang Fu; Jie Wen 001; Yao Zhao 001 (IEEE Trans. Multim., 2023)

Consistent Multiple Graph Embedding for Multi-View Clustering. - Yiming Wang 007; Dongxia Chang; Zhiqiang Fu; Yao Zhao 001 (IEEE Trans. Multim., 2023)

Projection-preserving block-diagonal low-rank representation for subspace clustering. - Zisen Kong; Dongxia Chang; Zhiqiang Fu; Jiapeng Wang; Yiming Wang 007; Yao Zhao 001 (Neurocomputing, 2023)

Learning a bi-directional discriminative representation for deep clustering. - Yiming Wang 007; Dongxia Chang; Zhiqiang Fu; Yao Zhao 001 (Pattern Recognit., 2023)

Latent Low-Rank Representation With Weighted Distance Penalty for Clustering. - Zhiqiang Fu; Yao Zhao 001; Dongxia Chang; Yiming Wang 007; Jie Wen 001 (IEEE Trans. Cybern., 2023)

One for all: A novel Dual-space Co-training baseline for Large-scale Multi-View Clustering. - Zisen Kong; Zhiqiang Fu; Dongxia Chang; Yiming Wang 007; Yao Zhao 001 (CoRR, 2024)

Interactive guidance network for object detection based on radar-camera fusion. - Jiapeng Wang; Linhua Kong; Dongxia Chang; Zisen Kong; Yao Zhao 001 (Multim. Tools Appl., 2024)

Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering. - Yiming Wang 007; Dongxia Chang; Zhiqiang Fu; Yao Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Partially View-Aligned Representation Learning via Cross-View Graph Contrastive Network. - Yiming Wang 007; Dongxia Chang; Zhiqiang Fu; Jie Wen 001; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

DCMVC: Dual contrastive multi-view clustering. - Pengyuan Li 013; Dongxia Chang; Zisen Kong; Yiming Wang 007; Yao Zhao 001 (Neurocomputing, 2025)

Dual-space Co-training for Large-scale Multi-view Clustering. - Zisen Kong; Zhiqiang Fu; Dongxia Chang; Yiming Wang 007; Yao Zhao 001 (Pattern Recognit., 2025)

Reordered $k$-Means: A New Baseline for View-Unaligned Multi-View Clustering. - Zhiqiang Fu; Yao Zhao 001; Dongxia Chang; Yiming Wang 007; Jie Wen 001 (IEEE Trans. Multim., 2025)

A Category-Driven Contrastive Recovery Network for Double Incomplete Multi-View Multi-Label Classification. - Yiming Wang 007; Qun Li 002; Dongxia Chang; Jie Wen 001; Fu Xiao 001; Yao Zhao 001 (IEEE Trans. Multim., 2025)

Temporal-Enhanced Radar and Camera Fusion for Object Detection. - Linhua Kong; Yiming Wang 007; Dongxia Chang; Yao Zhao 001 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Revisiting Radar Camera Alignment by Contrastive Learning for 3D Object Detection. - Linhua Kong; Dongxia Chang; Lian Liu; Zisen Kong; Pengyuan Li 013; Yao Zhao 001 (CoRR, 2025)