Stereo Mapping for A Prototype Lunar Rover. - Jian Hou 001; Naiming Qi; Hong Zhang; Tun Liu (ROBIO, 2006)

A multi-stage matching algorithm for mobile robot navigation. - Jian Hou 001; Naiming Qi; Hong Zhang (Ind. Robot, 2007)

Image Matching Based on Representative Local Descriptors. - Jian Hou 001; Naiming Qi; Jianxin Kang (MMM, 2010)

On Vocabulary Size in Bag-of-Visual-Words Representation. - Jian Hou 001; Jianxin Kang; Naiming Qi (PCM (1), 2010)

Towards a Universal and Limited Visual Vocabulary. - Jian Hou 001; Zhan-Shen Feng; Yong Yang; Naiming Qi (ISVC (2), 2011)

Evaluating Feature Combination in Object Classification. - Jian Hou 001; Bo-Ping Zhang; Naiming Qi; Yong Yang (ISVC (2), 2011)

A graph-theoretic approach to classifier combination. - Jian Hou 001; Zhan-Shen Feng; Bo-Ping Zhang (ICASSP, 2012)

Dominant set and target clique extraction. - Jian Hou 001; Xu E; Lei Chi; Qi Xia 005; Naiming Qi (ICPR, 2012)

DSET++: A robust clustering algorithm. - Jian Hou 001; Xu E; Lei Chi; Qi Xia 005; Naiming Qi (ICIP, 2013)

A density-based enhancement to dominant sets clustering. - Jian Hou 001; Xu E; Wei-Xue Liu; Qi Xia 005; Naiming Qi (IET Comput. Vis., 2013)

An experimental study on the universality of visual vocabularies. - Jian Hou 001; Wei-Xue Liu; Xu E; Qi Xia 005; Naiming Qi (J. Vis. Commun. Image Represent., 2013)

A simple feature combination method based on dominant sets. - Jian Hou 001; Marcello Pelillo (Pattern Recognit., 2013)

Merging dominant sets and DBSCAN for robust clustering and image segmentation. - Jian Hou 001; Chunshi Sha; Lei Chi; Qi Xia 005; Naiming Qi (ICIP, 2014)

Robust Clustering Based on Dominant Sets. - Jian Hou 001; Xu E; Lei Chi; Qi Xia 005; Naiming Qi (ICPR, 2014)

Density Based Cluster Extension and Dominant Sets Clustering. - Jian Hou 001; Chunshi Sha; Xu E; Qi Xia 005; Naiming Qi (GbRPR, 2015)

Cluster Merging Based on Dominant Sets. - Jian Hou 001; Chunshi Sha; Hongxia Cui; Lei Chi (SIMBAD, 2015)

Experimental study on dominant sets clustering. - Jian Hou 001; Qi Xia 005; Naiming Qi (IET Comput. Vis., 2015)

SVM and PCA based fault classification approaches for complicated industrial process. - Chen Jing; Jian Hou 001 (Neurocomputing, 2015)

Evaluating classifier combination in object classification. - Jian Hou 001; Xu E; Qi Xia 005; Naiming Qi (Pattern Anal. Appl., 2015)

Density Based Clustering via Dominant Sets. - Jian Hou 001; Wei-Xue Liu; Xu E (ANNPR, 2016)

Density Based Dominant Sets Growing and Clustering. - Jian Hou 001; Xu E; Hongxia Cui (EMS, 2016)

A density based cluster extension method. - Jian Hou 001; Chunshi Sha; Lei Chi; Hongxia Cui (ICIT, 2016)

On visual vocabulary size in SVM classification. - Wei-Xue Liu; Hongxia Cui; Jian Hou 001; Jianxin Kang (ICIT, 2016)

Improving the performance of SVM-RFE on classification of pancreatic cancer data. - Jiapeng Yin; Jian Hou 001; Zhiyong She; Chengming Yang; Han Yu (ICIT, 2016)

A new density kernel in density peak based clustering. - Jian Hou 001; Marcello Pelillo (ICPR, 2016)

Fault Detection and process monitoring of industrial process based on spherical kernel T-PLS. - Zelin Ren; Jian Hou 001; Hongpeng Zhou (IECON, 2016)

PCA and KPCA integrated Support Vector Machine for multi-fault classification. - Shen Yin; Chen Jing; Jian Hou 001; Okyay Kaynak; Huijun Gao (IECON, 2016)

An enhanced dominant sets clustering method. - Jian Hou 001; Wei-Xue Liu; Hongxia Cui (IJCNN, 2016)

Dominant Set Based Data Clustering and Image Segmentation. - Jian Hou 001; Chunshi Sha; Hongxia Cui; Lei Chi (MMM (1), 2016)

An improved SVM integrated GS-PCA fault diagnosis approach of Tennessee Eastman process. - Xin Gao; Jian Hou 001 (Neurocomputing, 2016)

A MPRM-based approach for fault diagnosis against outliers. - Wei Sun; Jian Hou 001 (Neurocomputing, 2016)

Fed-batch fermentation penicillin process fault diagnosis and detection based on support vector machine. - Chengming Yang; Jian Hou 001 (Neurocomputing, 2016)

Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes. - Zuyu Yin; Jian Hou 001 (Neurocomputing, 2016)

A multivariate statistical combination forecasting method for product quality evaluation. - Shen Yin; Lei Liu; Jian Hou 001 (Inf. Sci., 2016)

A robust 2D Otsu's thresholding method in image segmentation. - Chunshi Sha; Jian Hou 001; Hongxia Cui (J. Vis. Commun. Image Represent., 2016)

Towards parameter-independent data clustering and image segmentation. - Jian Hou 001; Wei-Xue Liu; Xu E; Hongxia Cui (Pattern Recognit., 2016)

DSets-DBSCAN: A Parameter-Free Clustering Algorithm. - Jian Hou 001; Huijun Gao; Xuelong Li 001 (IEEE Trans. Image Process., 2016)

Feature Combination and the kNN Framework in Object Classification. - Jian Hou 001; Huijun Gao; Qi Xia 005; Naiming Qi (IEEE Trans. Neural Networks Learn. Syst., 2016)

An Enhanced Density Peak Based Clustering Algorithm. - Jian Hou 001; Wei-Xue Liu (ACPR, 2017)

Density Normalization in Density Peak Based Clustering. - Jian Hou 001; Hongxia Cui (GbRPR, 2017)

An Improved Density Peak Clustering Algorithm. - Jian Hou 001; Xu E (IDEAL, 2017)

Dominant Set Based Density Kernel and Clustering. - Jian Hou 001; Shen Yin (ISNN (1), 2017)

Clustering Based on Dominant Set and Cluster Expansion. - Jian Hou 001; Wei-Xue Liu (PAKDD (2), 2017)

A Data-Driven Clustering Approach for Fault Diagnosis. - Jian Hou 001; Bing Xiao 001 (IEEE Access, 2017)

An Improved Principal Component Regression for Quality-Related Process Monitoring of Industrial Control Systems. - Chengyuan Sun; Jian Hou 001 (IEEE Access, 2017)

Parameter independent clustering based on dominant sets and cluster merging. - Jian Hou 001; Wei-Xue Liu (Inf. Sci., 2017)

A Parameter-Independent Clustering Framework. - Jian Hou 001; Wei-Xue Liu (IEEE Trans. Ind. Informatics, 2017)

A Target Dominant Sets Clustering Algorithm. - Jian Hou 001; Chengcong Lv; Aihua Zhang 003; Xu E (ICANN (2), 2018)

A Game- Theoretic Hyper-Graph Matching Algorithm. - Jian Hou 001; Marcello Pelillo (ICPR, 2018)

A Centerness Peak Based Clustering Algorithm. - Jian Hou 001; Aihua Zhang 003 (IJCNN, 2018)

Enhancing Cluster Center Identification in Density Peak Clustering. - Jian Hou 001; Aihua Zhang 003; Chengcong Lv; Xu E (KSEM (1), 2018)

Enhanced Dominant Sets Clustering by Cluster Expansion. - Jian Hou 001; Aihua Zhang 003 (IEEE Access, 2018)

Cluster merging based on a decision threshold. - Jian Hou 001; Bo-Ping Zhang (Neural Comput. Appl., 2018)

Density Based Cluster Growing via Dominant Sets. - Jian Hou 001; Xu E; Wei-Xue Liu (Neural Process. Lett., 2018)

Feature Combination via Clustering. - Jian Hou 001; Huijun Gao; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Merging DBSCAN and Density Peak for Robust Clustering. - Jian Hou 001; Chengcong Lv; Aihua Zhang 003; Xu E (ICANN (4), 2019)

Efficient Game-Theoretic Hypergraph Matching. - Jian Hou 001; Nai-Ming Qi (ICPR, 2020)

Density peak clustering based on relative density relationship. - Jian Hou 001; Aihua Zhang 003; Naiming Qi (Pattern Recognit., 2020)

Enhancing Density Peak Clustering via Density Normalization. - Jian Hou 001; Aihua Zhang 003 (IEEE Trans. Ind. Informatics, 2020)

Efficient and Accurate Hypergraph Matching. - Jian Hou 001; Huaqiang Yuan (ICME, 2021)

Hypergraph matching via game-theoretic hypergraph clustering. - Jian Hou 001; Marcello Pelillo; Huaqiang Yuan (Pattern Recognit., 2022)

Weighted Multi-view Clustering Based on Internal Evaluation. - Haoqi Xu; Jian Hou 001; Huaqiang Yuan (MMM (2), 2023)

Game-theoretic hypergraph matching with density enhancement. - Jian Hou 001; Huaqiang Yuan; Marcello Pelillo (Pattern Recognit., 2023)

Towards Parameter-Free Clustering for Real-World Data. - Jian Hou 001; Huaqiang Yuan; Marcello Pelillo (Pattern Recognit., 2023)

Enhancing Graph-Based Clustering with the Regularity Lemma. - Jian Hou 001; Juntao Ge; Huaqiang Yuan; Marcello Pelillo (ICPR (1), 2024)

Adaptive Nearest Neighbor Density Peak Clustering Based on Fuzzy Logic. - Houshen Lin; Jian Hou 001; Huaqiang Yuan (ICPR (24), 2024)

Efficient Affinity Propagation Clustering Based on Szemerédi's Regularity Lemma. - Jian Hou 001; Juntao Ge; Huaqiang Yuan (KSEM (2), 2024)

Adaptive Density Peak Clustering with Optimized Border-Peeling. - Houshen Lin; Jian Hou 001; Huaqiang Yuan (KSEM (2), 2024)

Real-world Data Clustering Based on Dominant Set and Nearest Neighbors. - Chongwei Huang; Jian Hou 001 (MLMI, 2024)

Sequential Clustering for Real-World Datasets. - Chongwei Huang; Jian Hou 001; Huaqiang Yuan (PRICAI (1), 2024)

Flexible density peak clustering for real-world data. - Jian Hou 001; Houshen Lin; Huaqiang Yuan; Marcello Pelillo (Pattern Recognit., 2024)

Density peak clustering based on nearest neighbors. - Houshen Lin; Jian Hou 001; Huaqiang Yuan (Eng. Appl. Artif. Intell., 2025)

Experimental evaluation of Szemerédi's regularity lemma in graph-based clustering. - Jian Hou 001; Juntao Ge; Huaqiang Yuan; Marcello Pelillo (Pattern Recognit., 2026)