Dr. Jian Hou is a professor with School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China. His research interests include data clustering and the application in pattern recognition and computer vision. He has published more than 50 papers in journals including IEEE TIP, IEEE TNNLS, Pattern Recognition, Information Sciences and IEEE TII, and conferences including ICME, ICASSP, ICPR, ICIP, PAKDD and IJCNN.

Research Projects

  1. Principal Investigator, National Natural Science Foundation of China, NSFC General Program, Efficient and High-accuracy Hypergraph Clustering Algorithms and Applications Based on Multi-player Games, 2022-2025.
  2. Principal Investigator, National Natural Science Foundation of China, NSFC General Program, A Game-theoretic Approach to Efficient and Robust Clustering, 2015-2018.

Selected Journal Papers

  1. Jian Hou*, Houshen Lin, Huaqiang Yuan, Marcello Pelillo. Flexible Density Peak Clustering for Real-World Data. Pattern Recognition, vol. 156, 110772, December 2024. (DOI: 10.1016/j.patcog.2024.110772) (Matlab code available here)
  2. Jian Hou*, Huaqiang Yuan, Marcello Pelillo. Towards Parameter-Free Clustering for Real-World Data. Pattern Recognition, vol. 134, 109062, February 2023. (DOI: 10.1016/j.patcog.2022.109062)
  3. Jian Hou*, Huaqiang Yuan, Marcello Pelillo. Game-Theoretic Hypergraph Matching with Density Enhancement. Pattern Recognition, vol. 133, 109035, January 2023. (DOI: 10.1016/j.patcog.2022.109035) (Matlab code available here)
  4. Jian Hou*, Marcello Pelillo, Huaqiang Yuan. Hypergraph Matching via Game-Theoretic Hypergraph Clustering. Pattern Recognition, vol. 125, 108526, May 2022. (DOI: 10.1016/j.patcog.2022.108526) (Matlab code available here)
  5. Jian Hou*, Aihua Zhang, Naiming Qi. Density Peak Clustering Based on Relative Density Relationship. Pattern Recognition, vol. 108, 107554, December 2020. (DOI: 10.1016/j.patcog.2020.107554)
  6. Jian Hou*, Aihua Zhang. Enhancing Density Peak Clustering via Density Normalization. IEEE Transactions on Industrial Informatics, vol. 16, no. 4, pp. 2477-2485, April 2020. (DOI: 10.1109/TII.2019.2929743)
  7. Jian Hou*, Xu E, Weixue Liu. Density Based Cluster Growing via Dominant Sets. Neural Processing Letters, vol. 48, no. 2, pp. 933-954, October 2018. (DOI: 10.1007/s11063-017-9767-3)
  8. Jian Hou*, Boping Zhang. Cluster Merging Based on a Decision Threshold. Neural Computing and Applications, vol. 30, no. 1, pp. 99-110, July 2018. (DOI: 10.1007/s00521-016-2699-4)
  9. Jian Hou*, Huijun Gao, Xuelong Li. Feature Combination via Clustering. IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 4, pp. 896-907, April 2018. (DOI: 10.1109/TNNLS.2016.2645883)
  10. Jian Hou*, Aihua Zhang. Enhanced Dominant Sets Clustering by Cluster Expansion. IEEE Access, vol. 6, no. 1, pp. 8916-8924, 2018. (DOI: 10.1109/ACCESS.2018.2808485)
  11. Jian Hou*, Weixue Liu. Parameter Independent Clustering Based on Dominant Sets and Cluster Merging. Information Sciences, vol. 405, pp. 1-17, September 2017. (DOI: 10.1016/j.ins.2017.04.006)
  12. Jian Hou*, Weixue Liu. A Parameter Independent Clustering Framework. IEEE Transactions on Industrial Informatics, vol. 13, no. 4, pp. 1825-1832, August 2017. (DOI: 10.1109/TII.2017.2656909)
  13. Jian Hou*, Bing Xiao. A Data-Driven Clustering Approach for Fault Diagnosis. IEEE Access, vol. 5, pp. 26512-26520, 2017. (DOI: 10.1109/ACCESS.2017.2771365)
  14. Jian Hou*, Weixue Liu, Xu E, Hongxia Cui. Towards Parameter-Independent Data Clustering and Image Segmentation. Pattern Recognition, vol. 60, pp. 25-36, December 2016. (DOI: 10.1016/j.patcog.2016.04.015)
  15. Chunshi Sha, Jian Hou*, Hongxia Cui. A Robust 2D Otsu’s Thresholding Method in Image Segmentation. Journal of Visual Communication and Image Representation, vol. 41, pp. 339-351, November 2016.(DOI: 10.1016/j.jvcir.2016.10.013)
  16. Jian Hou, Huijun Gao*, Xuelong Li. DSets-DBSCAN: A Parameter-Free Clustering Algorithm. IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3182-3193, July 2016. (DOI: 10.1109/TIP.2016.2559803) (Matlab code available here)
  17. Jian Hou*, Huijun Gao, Qi Xia, Naiming Qi. Feature Combination and the kNN Framework in Object Classification. IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 6, pp. 1368-1378, June 2016. (DOI: 10.1109/TNNLS.2015.2461552)
  18. Jian Hou*, Xu E, Qi Xia, Naiming Qi. Evaluating Classifier Combination in Object Classification. Pattern Analysis and Applications. vol. 18, no. 4, pp. 799-816, November 2015. (DOI: 10.1007/s10044-014-0366-x)
  19. Jian Hou*, Qi Xia, Naiming Qi. Experimental Study on Dominant Sets Clustering. IET Computer Vision, vol. 9, no. 2, pp. 208-215, April 2015 (DOI: 10.1049/iet-cvi.2014.0098)
  20. Jian Hou, Marcello Pelillo*. A Simple Feature Combination Method Based on Dominant Sets. Pattern Recognition, vol. 46, no. 11, pp. 3129-3139, November 2013. (DOI: 10.1016/j.patcog.2013.04.005)
  21. Jian Hou*, Xu E, Weixue Liu, Qi Xia, Naiming Qi. A Density Based Enhancement to Dominant Sets Clustering. IET Computer Vision, vol.7, no.5, pp. 354-361, October 2013. (DOI: 10.1049/iet-cvi.2013.0072)
  22. Jian Hou*, Weixue Liu, Xu E, Qi Xia, Naiming Qi. An Experimental Study on the Universality of Visual Vocabularies. Journal of Visual Communication and Image Representation, vol. 24, no.7, pp. 1204-1211, October 2013. (DOI: 10.1016/j.jvcir.2013.08.002)
  23. Jian Hou, Naiming Qi. Stereo Matching Algorithm for Lunar Rover. Journal of Nanjing University of Science and Technology, vol. 32, no. 2, pp. 176-180, 2008. (in Chinese)
  24. Jian Hou*, Naiming Qi, Hong Zhang. A Multi-Stage Matching Algorithm for Mobile Robot Navigation. Industrial Robot-The International Journal of Robotics Research and Application, vol. 34, no. 1, pp. 54-59, 2007 (DOI: 10.1108/01439910710718450)
  25. Jian Hou, Naiming Qi, Hong Zhang. A Feature-Assisted Matching Algorithm for Lunar Rover. Aircraft Engineering and Aerospace Technology, vol. 78, no. 3, pp. 211-216, 2006.

Selected Conference Papers

  1. Houshen Lin, Jian Hou*, Huaqiang Yuan. Adaptive Nearest Neighbor Density Peak Clustering Based on Fuzzy Logic. The 27th International Conference on Pattern Recognition (ICPR 2024), Kolkata, India, December 1-5, 2024.
  2. Jian Hou*, Juntao Ge, Huaqiang Yuan, Marcello Pelillo. Enhancing Graph-based Clustering Based on the Regularity Lemma. The 27th International Conference on Pattern Recognition (ICPR 2024), Kolkata, India, December 1-5, 2024.
  3. Chongwei Huang, Jian Hou*, Huaqiang Yuan. Sequential Clustering for Real-world Datasets. The 21st Pacific Rim International Conference on Artificial Intelligence (PRICAI 2024), Kyoto, Japan, November 18-24, 2024.
  4. Jian Hou*, Juntao Ge, Huaqiang Yuan. Efficient Affinity Propagation Clustering Based on Szemeredi’s Regularity Lemma. The 17th International Conference on Knowledge Science, Engineering and Management (KSEM 2024), LNAI 14885, pp. 449-461, Birmingham, United Kingdom, August 16-18, 2024. (DOI: 10.1007/978-981-97-5495-3_34)
  5. Houshen Lin, Jian Hou*, Huaqiang Yuan. Adaptive Density Peak Clustering with Optimized Border-peeling. The 17th International Conference on Knowledge Science, Engineering and Management (KSEM 2024), LNAI 14885, pp. 437-448, Birmingham, United Kingdom, August 16-18, 2024. (DOI: 10.1007/978-981-97-5495-3_33)
  6. Haoqi Xu, Jian Hou*, Huaqiang Yuan. Weighted Multi-view Clustering Based on Internal Evaluation. International Conference on Multimedia Modeling (MMM 2023), LNCS 13834, pp. 215-227, Bergen, Norway, January 9-12, 2023. (DOI: 10.1007/978-3-031-27818-1_18)
  7. Jian Hou*, Huaqiang Yuan. Efficient and Accurate Hypergraph Matching. International Conference on Multimedia and Expo (ICME 2021), Shenzhen, China, July 5-9, 2021. (DOI: 10.1109/ICME51207.2021.9428156)
  8. Jian Hou*, Naiming Qi. Efficient Game-Theoretic Hypergraph Matching. The 24th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy, January 10-15, 2021. (DOI: 10.1109/ICPR48806.2021.9413324)
  9. Jian Hou*, Chengcong Lv, Aihua Zhang, Xu E. Merging DBSCAN and Density Peak for Robust Clustering. The 28th International Conference on Artificial Neural Networks (ICANN 2019), LNCS 11730, pp. 595-610, Munich, Germany, September 17-19, 2019. (DOI: 10.1007/978-3-030-30490-4_48)
  10. Jian Hou*, Chengcong Lv, Aihua Zhang, Xu E. A Target Dominant Sets Clustering Algorithm. The 27th International Conference on Artificial Neural Networks (ICANN 2018), LNCS 11140, pp. 286-295, Island of Rhodes, Greece, October 4-7, 2018 (DOI: 10.1007/978-3-030-01421-6_28)
  11. Jian Hou*, Marcello Pelillo. A Game-Theoretic Hyper-graph Matching Algorithm. The 24th International Conference on Pattern Recognition (ICPR 2018), pp. 1012-1017, Beijing, China, August 20-24, 2018 (DOI: 10.1109/ICPR.2018.8545827)
  12. Jian Hou*, Aihua Zhang, Chengcong Lv, Xu E. Enhancing Cluster Center Identification in Density Peak Clustering. The 11th International Conference on Knowledge Science, Engineering and Management (KSEM 2018), LNAI 11061, pp. 268-275, Changchun, China, August 17-19, 2018. (DOI: 10.1007/978-3-319-99365-2_24)
  13. Jian Hou*, Aihua Zhang. A Centerness Peak Based Clustering Algorithm. The 2018 International Joint Conference on Neural Networks (IJCNN 2018), pp. 2118-2123, Rio de Janeiro, Brazil, July 8-13, 2018. (DOI: 10.1109/IJCNN.2018.8489311)
  14. Jian Hou*, Weixue Liu, Xu E. Clustering Based on Dominant Set and Cluster Expansion. The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), LNAI 10235, pp. 76-87, Jeju, South Korea, May 23-25, 2017. (DOI: DOI: 10.1007/978-3-319-57529-2_7)
  15. Jian Hou*, Marcello Pelillo. A New Density Kernel in Density Peak Based Clustering. The 23rd International Conference on Pattern Recognition (ICPR 2016), pp. 463-468, Cancun, Mexico, December 4-8, 2016. （DOI: 10.1109/ICPR.2016.7899678）
  16. Jian Hou*, Weixue Liu, Hongxia Cui. An Enhanced Dominant Sets Clustering Method. The 2016 International Joint Conference on Neural Networks (IJCNN 2016), pp.3674-3681, Vancouver, Canada, July 24-29, 2016. (DOI: 10.1109/IJCNN.2016.7727672)
  17. Jian Hou*, Chunshi Sha, Hongxia Cui, Lei Chi. Dominant Set Based Data Clustering and Image Segmentation. The 22th International Conference on Multimedia Modeling(MMM 2016), LNCS 9516, pp. 432-443, Miami, United States, January 4-6, 2016. (DOI: 10.1007/978-3-319-27671-7_36)
  18. Jian Hou*, Chunshi Sha, Lei Chi, Qi Xia, Naiming Qi. Merging Dominant Sets and DBSCAN for Robust Clustering and Image Segmentation. The 21st IEEE International Conference on Image Processing (ICIP 2014), pp. 4422-4426, Paris, France, October 27-30, 2014. (DOI: 10.1109/ICIP.2014.7025897)
  19. Jian Hou*, Xu E, Lei Chi, Qi Xia, Naiming Qi. Robust Clustering Based on Dominant Sets. The 22nd International Conference on Pattern Recognition (ICPR 2014), pp. 1466-1471, Stockholm, Sweden, August 24-28, 2014. (DOI: 10.1109/ICPR.2014.261)
  20. Jian Hou*, Xu E, Lei Chi, Qi Xia, Naiming Qi. DSET++: A Robust Clustering Algorithm. IEEE International Conference on Image Processing (ICIP 2013),pp. 3795-3799, Melbourne, Australia, September 15-18, 2013. (DOI: 10.1109/ICIP.2013.6738782)
  21. Jian Hou*, Xu E, Lei Chi, Qi Xia, Naiming Qi. Dominant Sets and Target Clique Extraction. The 21st International Conference on Pattern Recognition (ICPR 2012), pp.1831-1834, Tsukuba, Japan, November 11-15, 2012.
  22. Jian Hou*, Zhaishen Feng, Boping Zhang. A Graph-Theoretic Approach to Classifier Combination. The 37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012), pp.1017-1020, Kyoto, Japan, March 25-30, 2012. (DOI: 10.1109/ICASSP.2012.6288058)
  23. Jian Hou*, Zhaishen Feng, Yong Yang, Naiming Qi. Towards a Universal and Limited Visual Vocabulary. The 7th International Symposium on Visual Computing (ISVC 2011), LNCS 6939, pp. 398-407, Springer, 2011.
  24. Jian Hou*, Jianxin Kang, Naiming Qi. On Vocabulary Size in Bag-of-Visual-Words Representation. The 2010 Pacific-Rim Conference on Multimedia (PCM 2010), LNCS 6297, pp. 414-424, Shanghai, China, September 2010. (DOI: 10.1007/978-3-642-15702-8_38)
  25. Jian Hou*, Naiming Qi, Jianxin Kang. Image Matching Based on Representative Local Descriptors. The 16th International Multimedia Modeling Conference (MMM 2010), LNCS 5916, pp. 303-313, Chongqing, China, January 6-8 2010. (DOI: 10.1007/978-3-642-11301-7_32)