MFCRank: A Web Ranking Algorithm Based on Correlation of Multiple Features. - Yunming Ye; Yan Li 040; Xiaofei Xu; Joshua Zhexue Huang; Xiaojun Chen 006 (CICLing, 2006)

Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering. - Yunming Ye; Joshua Zhexue Huang; Xiaojun Chen 006; Shuigeng Zhou; Graham J. Williams; Xiaofei Xu (PAKDD, 2006)

A Survey of Open Source Data Mining Systems. - Xiaojun Chen 006; Yunming Ye; Graham J. Williams; Xiaofei Xu (PAKDD Workshops, 2007)

Scalable Subspace Logistic Regression Models for High Dimensional Data. - Shuang Wang; Xiaojun Chen 006; Joshua Zhexue Huang; Shengzhong Feng (APWeb, 2012)

Random forest using tree selection method to classify unbalanced data. - Baoxun Xu; Yunming Ye; Qiang Wang 053; Junjie Li; Xiaojun Chen 006 (ICDIP, 2012)

Scalable Random Forests for Massive Data. - Bingguo Li; Xiaojun Chen 006; Mark Junjie Li; Joshua Zhexue Huang; Shengzhong Feng (PAKDD (1), 2012)

A feature group weighting method for subspace clustering of high-dimensional data. - Xiaojun Chen 006; Yunming Ye; Xiaofei Xu; Joshua Zhexue Huang (Pattern Recognit., 2012)

TW-k-Means: Automated Two-Level Variable Weighting Clustering Algorithm for Multiview Data. - Xiaojun Chen 006; Xiaofei Xu; Joshua Zhexue Huang; Yunming Ye (IEEE Trans. Knowl. Data Eng., 2013)

A LDA Feature Grouping Method for Subspace Clustering of Text Data. - Yeshou Cai; Xiaojun Chen 006; Patrick Xiaogang Peng; Joshua Zhexue Huang (PAISI, 2014)

Online Multi-Instance Multi-Label learning for protein function prediction. - Feng Wu 004; Qiong Liu 006; Tianyong Hao; Xiaojun Chen 006; Qingyao Wu (BIBM, 2016)

PurTreeClust: A purchase tree clustering algorithm for large-scale customer transaction data. - Xiaojun Chen 006; Joshua Zhexue Huang; Jun Luo (ICDE, 2016)

Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data. - He Zhao 009; Xiaojun Chen 006; Thanh-Tung Nguyen; Joshua Zhexue Huang; Graham J. Williams; Hui Chen (PAISI, 2016)

Big data analytics on Apache Spark. - Salman Salloum; Ruslan Dautov; Xiaojun Chen 006; Patrick Xiaogang Peng; Joshua Zhexue Huang (Int. J. Data Sci. Anal., 2016)

Detecting Review Spammer Groups. - Min Yang 007; Ziyu Lu; Xiaojun Chen 006; Fei Xu (AAAI, 2017)

Attention Based LSTM for Target Dependent Sentiment Classification. - Min Yang 007; Wenting Tu; Jingxuan Wang; Fei Xu; Xiaojun Chen 006 (AAAI, 2017)

Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters. - Min Yang 007; Jincheng Mei; Heng Ji; Wei Zhao 033; Zhou Zhao 001; Xiaojun Chen 006 (EMNLP, 2017)

A Self-Balanced Min-Cut Algorithm for Image Clustering. - Xiaojun Chen 006; Joshua Zhexue Huang; Feiping Nie 001; Renjie Chen 004; Qingyao Wu (ICCV, 2017)

Scalable Normalized Cut with Improved Spectral Rotation. - Xiaojun Chen 006; Feiping Nie 001; Joshua Zhexue Huang; Min Yang 007 (IJCAI, 2017)

Semi-supervised Feature Selection via Rescaled Linear Regression. - Xiaojun Chen 006; Guowen Yuan; Feiping Nie 001; Joshua Zhexue Huang (IJCAI, 2017)

Personalized Response Generation via Domain adaptation. - Min Yang 007; Zhou Zhao 001; Wei Zhao 033; Xiaojun Chen 006; Jia Zhu 003; Lianqiang Zhou; Zigang Cao (SIGIR, 2017)

Leveraging Long and Short-term Information in Content-aware Movie Recommendation. - Wei Zhao 033; Benyou Wang; Jianbo Ye; Yongqiang Gao; Min Yang 007; Zhou Zhao 001; Xiaojun Chen 006 (CoRR, 2017)

Local PurTree Spectral Clustering for Massive Customer Transaction Data. - Xiaojun Chen 006; Si Peng; Joshua Zhexue Huang; Feiping Nie 001; Yong Ming (IEEE Intell. Syst., 2017)

A Stratified Feature Ranking Method for Supervised Feature Selection. - Renjie Chen 004; Xiaojun Chen 006; Guowen Yuan; Wenya Sun; Qingyao Wu (AAAI, 2018)

Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement. - Guowen Yuan; Xiaojun Chen 006; Chen Wang 032; Feiping Nie 001; Liping Jing (AAAI, 2018)

A Semi-Supervised Network Embedding Model for Protein Complexes Detection. - Wei Zhao 033; Jia Zhu 003; Min Yang 007; Danyang Xiao; Gabriel Pui Cheong Fung; Xiaojun Chen 006 (AAAI, 2018)

PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training. - Wei Zhao 033; Benyou Wang; Jianbo Ye; Yongqiang Gao; Min Yang 007; Xiaojun Chen 006 (IJCAI, 2018)

Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut. - Xiaojun Chen 006; Weijun Hong; Feiping Nie 001; Dan He; Min Yang 007; Joshua Zhexue Huang (KDD, 2018)

Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation. - Min Yang 007; Qiang Qu; Kai Lei; Jia Zhu 003; Zhou Zhao 001; Xiaojun Chen 006; Joshua Zhexue Huang (SDM, 2018)

Supervised Feature Selection With a Stratified Feature Weighting Method. - Renjie Chen 004; Ning Sun; Xiaojun Chen 006; Min Yang 007; Qingyao Wu (IEEE Access, 2018)

Cross-Domain Sentiment Classification by Capsule Network With Semantic Rules. - Bowen Zhang 005; Xiaofei Xu; Min Yang 007; Xiaojun Chen 006; Yunming Ye (IEEE Access, 2018)

A Topic Drift Model for authorship attribution. - Min Yang 007; Xiaojun Chen 006; Wenting Tu; Ziyu Lu; Jia Zhu 003; Qiang Qu (Neurocomputing, 2018)

Feature-enhanced attention network for target-dependent sentiment classification. - Min Yang 007; Qiang Qu; Xiaojun Chen 006; Chaoxue Guo; Ying Shen 001; Kai Lei (Neurocomputing, 2018)

Personalized response generation by Dual-learning based domain adaptation. - Min Yang 007; Wenting Tu; Qiang Qu; Zhou Zhao 001; Xiaojun Chen 006; Jia Zhu 003 (Neural Networks, 2018)

TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering. - Xiaojun Chen 006; Min Yang 007; Joshua Zhexue Huang; Zhong Ming 001 (Pattern Recognit., 2018)

PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data. - Xiaojun Chen 006; Yixiang Fang; Min Yang 007; Feiping Nie 001; Zhou Zhao 001; Joshua Zhexue Huang (IEEE Trans. Knowl. Data Eng., 2018)

Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data. - Xiaojun Chen 006; Guowen Yuan; Wenting Wang; Feiping Nie 001; Xiaojun Chang; Joshua Zhexue Huang (IEEE Trans. Neural Networks Learn. Syst., 2018)

E-Embed: A time series visualization framework based on earth mover's distance. - Bingkun Chen; Hong Zhou 004; Xiaojun Chen 006 (J. Vis. Lang. Comput., 2018)

Exploring Human-Like Reading Strategy for Abstractive Text Summarization. - Min Yang 007; Qiang Qu; Wenting Tu; Ying Shen 001; Zhou Zhao 001; Xiaojun Chen 006 (AAAI, 2019)

Semi-Supervised Feature Selection with Adaptive Discriminant Analysis. - Weichan Zhong; Xiaojun Chen 006; Guowen Yuan; Yiqin Li; Feiping Nie 001 (AAAI, 2019)

Structured Spectral Clustering of PurTree Data. - Xiaojun Chen 006; Chao Guo; Yixiang Fang; Rui Mao 001 (DASFAA (2), 2019)

Exploring Communities in Large Profiled Graphs (Extended Abstract). - Yankai Chen 001; Yixiang Fang; Reynold Cheng; Yun Li; Xiaojun Chen 006; Jie Zhang 002 (ICDE, 2019)

Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. - Min Yang 007; Lei Chen 072; Xiaojun Chen 006; Qingyao Wu; Wei Zhou 028; Ying Shen 001 (IJCAI, 2019)

Learning Personalized End-to-End Task-Oriented Dialogue Generation. - Bowen Zhang 005; Xiaofei Xu; Xutao Li; Yunming Ye; Xiaojun Chen 006; Lianjie Sun (NLPCC (1), 2019)

Demonstration of Compact In situ Mueller-Matrix Polarimetry Based on Binary Polarization Rotators. - Zhenyang Ding; Yangyang Yao; X. Steve Yao; Xiaojun Chen 006; Chenhuan Wang; Shuang Wang 006; Tiegen Liu (IEEE Access, 2019)

An Asymptotic Ensemble Learning Framework for Big Data Analysis. - Salman Salloum; Joshua Zhexue Huang; Yulin He; Xiaojun Chen 006 (IEEE Access, 2019)

Sentiment analysis through critic learning for optimizing convolutional neural networks with rules. - Bowen Zhang 005; Xiaofei Xu; Xutao Li; Xiaojun Chen 006; Yunming Ye; Zhongjie Wang (Neurocomputing, 2019)

Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling. - Min Yang 007; Qiang Qu; Xiaojun Chen 006; Wenting Tu; Ying Shen 001; Jia Zhu 003 (Inf. Sci., 2019)

Subspace Weighting Co-Clustering of Gene Expression Data. - Xiaojun Chen 006; Joshua Zhexue Huang; Qingyao Wu; Min Yang 007 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method. - Xiaojun Chen 006; Wenya Sun; Bo Wang; Zhihui Li 001; Xizhao Wang; Yunming Ye (IEEE Trans. Cybern., 2019)

Exploring Communities in Large Profiled Graphs. - Yankai Chen 001; Yixiang Fang; Reynold Cheng; Yun Li; Xiaojun Chen 006; Jie Zhang 002 (IEEE Trans. Knowl. Data Eng., 2019)

On Spatial-Aware Community Search. - Yixiang Fang; Zheng Wang; Reynold Cheng; Xiaodong Li 009; Siqiang Luo; Jiafeng Hu; Xiaojun Chen 006 (IEEE Trans. Knowl. Data Eng., 2019)

Multitask Learning for Cross-Domain Image Captioning. - Min Yang 007; Wei Zhao 033; Wei Xu; Yabing Feng; Zhou Zhao 001; Xiaojun Chen 006; Kai Lei (IEEE Trans. Multim., 2019)

MARES: multitask learning algorithm for Web-scale real-time event summarization. - Min Yang 007; Wenting Tu; Qiang Qu; Kai Lei; Xiaojun Chen 006; Jia Zhu 003; Ying Shen 001 (World Wide Web, 2019)

Unsupervised Deep Hashing with Structured Similarity Learning. - Xuanrong Pang; Xiaojun Chen 006; Shu Yang; Feiping Nie 001 (APWeb/WAIM (2), 2020)

A Noise Adaptive Model for Distantly Supervised Relation Extraction. - Xu Huang; Bowen Zhang 005; Yunming Ye; Xiaojun Chen 006; Xutao Li (NLPCC (1), 2020)

Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference. - Min Yang 007; Ying Shen 001; Xiaojun Chen 006; Chengming Li (SIGIR, 2020)

A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients. - Xiaojun Chen 006; Shu Yang; Li Shen 005; Xuanrong Pang (CoRR, 2020)

Enhanced Balanced Min Cut. - Xiaojun Chen 006; Weijun Hong; Feiping Nie 001; Joshua Zhexue Huang; Li Shen 001 (Int. J. Comput. Vis., 2020)

Discriminative Streaming Network Embedding. - Yiyan Qi; Jiefeng Cheng; Xiaojun Chen 006; Reynold Cheng; Albert Bifet; Pinghui Wang (Knowl. Based Syst., 2020)

A memory network based end-to-end personalized task-oriented dialogue generation. - Bowen Zhang 005; Xiaofei Xu; Xutao Li; Yunming Ye; Xiaojun Chen 006; Zhongjie Wang (Knowl. Based Syst., 2020)

An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks. - Min Yang 007; Junhao Liu 001; Lei Chen 072; Zhou Zhao 001; Xiaojun Chen 006; Ying Shen 001 (IEEE Trans. Cybern., 2020)

Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training. - Wei Zhao 033; Benyou Wang; Min Yang 007; Jianbo Ye; Zhou Zhao 001; Xiaojun Chen 006; Ying Shen 001 (IEEE Trans. Cybern., 2020)

An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network. - Min Yang 007; Junhao Liu 001; Ying Shen 001; Zhou Zhao 001; Xiaojun Chen 006; Qingyao Wu; Chengming Li (IEEE Trans. Image Process., 2020)

Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression. - Xiaojun Chen 006; Guowen Yuan; Feiping Nie 001; Zhong Ming 001 (IEEE Trans. Knowl. Data Eng., 2020)

LABIN: Balanced Min Cut for Large-Scale Data. - Xiaojun Chen 006; Renjie Chen 004; Qingyao Wu; Yixiang Fang; Feiping Nie 001; Joshua Zhexue Huang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Deep Structured Clustering of Short Text. - Junxian Wu; Xiaojun Chen 006; Shaotian Cai; Yongqi Li 004; Huzi Wu (Big Data (CCF), 2021)

Deep Self-Adaptive Hashing for Image Retrieval. - Qinghong Lin; Xiaojun Chen 006; Qin Zhang 011; Shangxuan Tian; Yudong Chen (CIKM, 2021)

Learning unsupervised node representation from multi-view network. - Chen Wang 032; Xiaojun Chen 006; Bingkun Chen; Feiping Nie 001; Bo Wang; Zhong Ming 001 (Inf. Sci., 2021)

Adaptive discriminant analysis for semi-supervised feature selection. - Weichan Zhong; Xiaojun Chen 006; Feiping Nie 001; Joshua Zhexue Huang (Inf. Sci., 2021)

Selection of diverse features with a diverse regularization. - Weichan Zhong; Xiaojun Chen 006; Qingyao Wu; Min Yang 007; Joshua Zhexue Huang (Pattern Recognit., 2021)

Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. - Min Yang 007; Wenpeng Yin 001; Qiang Qu; Wenting Tu; Ying Shen 001; Xiaojun Chen 006 (IEEE Trans. Affect. Comput., 2021)

Fast Manifold Ranking With Local Bipartite Graph. - Xiaojun Chen 006; Yuzhong Ye; Qingyao Wu; Feiping Nie 001 (IEEE Trans. Image Process., 2021)

Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization. - Min Yang 007; Chengming Li; Ying Shen 001; Qingyao Wu; Zhou Zhao 001; Xiaojun Chen 006 (IEEE Trans. Neural Networks Learn. Syst., 2021)

An Effective Hybrid Learning Model for Real-Time Event Summarization. - Min Yang 007; Qiang Qu; Ying Shen 001; Zhou Zhao 001; Xiaojun Chen 006; Chengming Li (IEEE Trans. Neural Networks Learn. Syst., 2021)

Deep Unsupervised Hashing with Latent Semantic Components. - Qinghong Lin; Xiaojun Chen 006; Qin Zhang 011; Shaotian Cai; Wenzhe Zhao; Hongfa Wang (AAAI, 2022)

A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. - Qin Zhang 011; Qincai Li; Xiaojun Chen 006; Peng Zhang 001; Shirui Pan; Philippe Fournier-Viger; Joshua Zhexue Huang (ICDM, 2022)

Logic tensor network with massive learned knowledge for aspect-based sentiment analysis. - Hu Huang 009; Bowen Zhang 005; Liwen Jing; Xianghua Fu; Xiaojun Chen 006; Jianyang Shi (Knowl. Based Syst., 2022)

Directly solving normalized cut for multi-view data. - Chen Wang 032; Xiaojun Chen 006; Feiping Nie 001; Joshua Zhexue Huang (Pattern Recognit., 2022)

Semisupervised Feature Selection via Structured Manifold Learning. - Xiaojun Chen 006; Renjie Chen 004; Qingyao Wu; Feiping Nie 001; Min Yang 007; Rui Mao 001 (IEEE Trans. Cybern., 2022)

Semisupervised Feature Selection With Sparse Discriminative Least Squares Regression. - Chen Wang 032; Xiaojun Chen 006; Guowen Yuan; Feiping Nie 001; Min Yang 007 (IEEE Trans. Cybern., 2022)

Semantic-Enhanced Image Clustering. - Shaotian Cai; Liping Qiu; Xiaojun Chen 006; Qin Zhang 011; Longteng Chen (AAAI, 2023)

A Survey for Efficient Open Domain Question Answering. - Qin Zhang 011; Shangsi Chen; Dongkuan Xu; Qingqing Cao; Xiaojun Chen 006; Trevor Cohn; Meng Fang (ACL (1), 2023)

Multi-modal Chinese Fake News Detection. - Wenxi Huang; Zhangyi Zhao; Xiaojun Chen 006; Mark Junjie Li; Qin Zhang 011; Philippe Fournier-Viger (ICDM (Workshops), 2023)

G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. - Qin Zhang 011; Zelin Shi; Xiaolin Zhang; Xiaojun Chen 006; Philippe Fournier-Viger; Shirui Pan (IJCAI, 2023)

G2xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. - Qin Zhang 011; Zelin Shi; Xiaolin Zhang; Xiaojun Chen 006; Philippe Fournier-Viger; Shirui Pan (CoRR, 2023)

Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering. - Qin Zhang 011; Shangsi Chen; Meng Fang; Xiaojun Chen 006 (Inf. Process. Manag., 2023)

Multi-Level Cross-Modal Alignment for Image Clustering. - Liping Qiu; Qin Zhang 011; Xiaojun Chen 006; Shaotian Cai (AAAI, 2024)

ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. - Qin Zhang 011; Xiaowei Li; Jiexin Lu; Liping Qiu; Shirui Pan; Xiaojun Chen 006; Junyang Chen 001 (AAAI, 2024)

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. - Feiteng Fang; Yuelin Bai; Shiwen Ni; Min Yang 007; Xiaojun Chen 006; Ruifeng Xu 001 (ACL (1), 2024)

A Payment Transaction Pre-training Model for Fraud Transaction Detection. - Wenxi Huang; Zhangyi Zhao; Xiaojun Chen 006; Qin Zhang 011; Mark Junjie Li; Hanjing Su; Qingyao Wu (CIKM, 2024)

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. - Shiwen Ni; Minghuan Tan; Yuelin Bai; Fuqiang Niu; Min Yang 007; Bowen Zhang 005; Ruifeng Xu 001; Xiaojun Chen 006; Chengming Li; Xiping Hu (LREC/COLING, 2024)

Unsupervised Multiple Choices Question Answering Via Universal Corpus. - Qin Zhang 011; Hao Ge; Xiaojun Chen 006; Meng Fang (ICASSP, 2024)

Representation Surgery for Multi-Task Model Merging. - Enneng Yang; Li Shen 008; Zhenyi Wang 001; Guibing Guo; Xiaojun Chen 006; Xingwei Wang 001; Dacheng Tao (ICML, 2024)

ReCoS: A Novel Benchmark for Cross-Modal Image-Text Retrieval in Complex Real-Life Scenarios. - Xiaojun Chen 006; Jimeng Lou; Wenxi Huang; Ting Wan; Qin Zhang 011; Min Yang 007 (ACM Multimedia, 2024)

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. - Ziqiang Liu; Feiteng Fang; Xi Feng; Xeron Du; Chenhao Zhang 005; Noah Wang; Yuelin Bai; Qixuan Zhao; Liyang Fan; Chengguang Gan; Hongquan Lin; Jiaming Li 004; et al. (NeurIPS, 2024)

EGonc : Energy-based Open-Set Node Classification with substitute Unknowns. - Qin Zhang 011; Zelin Shi; Shirui Pan; Junyang Chen 001; Huisi Wu; Xiaojun Chen 006 (NeurIPS, 2024)

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. - Shiwen Ni; Minghuan Tan; Yuelin Bai; Fuqiang Niu; Min Yang 007; Bowen Zhang 005; Ruifeng Xu 001; Xiaojun Chen 006; Chengming Li; Xiping Hu; Ye Li 002; Jianping Fan 002 (CoRR, 2024)

ROGPL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. - Qin Zhang 011; Xiaowei Li; Jiexin Lu; Liping Qiu; Shirui Pan; Xiaojun Chen 006; Junyang Chen 001 (CoRR, 2024)

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. - Ziqiang Liu; Feiteng Fang; Xi Feng; Xinrun Du; Chenhao Zhang 005; Zekun Wang; Yuelin Bai; Qixuan Zhao; Liyang Fan; Chengguang Gan; Hongquan Lin; Jiaming Li 004; et al. (CoRR, 2024)

Open-world structured sequence learning via dense target encoding. - Qin Zhang 011; Ziqi Liu; Qincai Li; Haolong Xiang; Zhizhi Yu; Junyang Chen 001; Peng Zhang 001; Xiaojun Chen 006 (Inf. Sci., 2024)

A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models. - Xiaojun Chen 006; Ting Liu; Philippe Fournier-Viger; Bowen Zhang 005; Guodong Long; Qin Zhang 011 (Knowl. Based Syst., 2024)

TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs. - Qin Zhang 011; Xiaowei Li; Ziqi Liu; Xiaochen Fan; Xiaojun Chen 006; Shirui Pan (AAAI, 2025)

A Structured Bipartite Graph Learning method for ensemble clustering. - Zitong Zhang; Xiaojun Chen 006; Chen Wang 032; Ruili Wang; Wei Song; Feiping Nie 001 (Pattern Recognit., 2025)

Structured multi-view k-means clustering. - Zitong Zhang; Xiaojun Chen 006; Chen Wang 032; Ruili Wang; Wei Song; Feiping Nie 001 (Pattern Recognit., 2025)