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Draft:Dong Zhang

Chinese machine learning scientist

Dr. Tim Zhang, also known as Dong Zhang, is a prominent figure in the field of machine learning. Zhang has made significant contributions to various technology companies and research institutions.

Education

Experience

  • Founder & CEO, Beijing Machine Learning Limited (2015 – present)
  • Chief Architect, Shenma Tech (Alibaba) (2013 – 2015)
  • Founder, Beijing OneboxTech (2011 - 2013)
  • Chief Architect, Baidu (2009 - 2011)
  • Researcher, Google (2007 - 2009)

Patents

Zhang holds several patents in the field of technology.[1][2][3][4][5]

Publications

Journals

  • The Team-player Influence Model [6] - IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
  • Modeling Individual and Group Actions in Meetings with Layered HMMs [7] - IEEE Transactions on Multimedia, June 2006
  • Automatic Analysis of Multimodal Group Actions in Meetings [8] - IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), March 2005

Conferences

  • Exploring Contextual Information in a Layered Framework for Group Action Recognition [9] - IEEE International Conference on Multimedia and Expo (ICME) 2007
  • Detection and Application of Inuence Rankings in Small Group Meetings [10] - Eighth International Conference on Multimodal Interfaces (ICMI) 2006
  • Modeling Interactions from Email Communication [11] - In IEEE International Conference on Multimedia and Expo (ICME) 2006
  • Learning Inuence among Interacting Markov Chains [12] - In Advances in Neural Information Processing Systems (NIPS) 18. MIT Press, 2005
  • Semi-supervised Adapted HMM for Unusual Event Detection [13] - IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2005
  • Semi-supervised Meeting Event Recognition with Adapted HMMs [14] - IEEE International Conference on Multimedia and Expo (ICME) 2005
  • Detecting Group Interest- level in Meetings [15] - IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2005
  • Extracting Information from Multimedia Meeting Collections [16] - ACM SIGMM Information Workshop on Multimedia Information Retrieval, in conjunction with ACM Multimedia 2005
  • Multimodal Integration for Meeting Group Action Segmentation and Recognition [17] - Machine Learning for Multimodel Interaction (MLMI) 2005
  • Multimodal Meeting Action Modeling Using Multi-Layer HMM Framework [18] - NIPS 2004 Workshop on Multimodal Signal Processing
  • Multimodal Group Actions Clustering in Meetings [19] - ACM 2nd International Workshop on Video Surveillance and Sensor Networks, in conjunction with 12th ACM Multimedia 2004
  • Modeling Individual and Group Actions in Meetings: a Two-Layer HMM Framework [20] - Second IEEE Workshop on Event Mining: Detection and Recognition of Events in Video, In Association with CVPR 2004
  • Real-Time Face Detection Using Boosting Learning in Hierarchical Feature Spaces [21] - International Conference on Pattern Recognition (ICPR) 2004
  • Face Recognition Using AdaBoosted Gabor Features [22] - International Conference on Automatic Face and Gesture Recognition, 2004
  • Learning to Boost GMM Based Speaker Verification [23] - Eurospeech, Geneva, Switzerland, 2003
  • Performance Evaluation Protocol for Video Scene Detection Algorithms [24] - Workshop on Multimedia Information Retrieval, in conjunction with 10th ACM Multimedia 2002
  • MyVideos: a System For Home Video Management [25] - ACM Multimedia, 2002
  • A New Shot Boundary Detection Algorithm [26] - EEE Pacific Rim Conference on Multimedia (PCM), 2001
  • Video Segmentation by Two Measures and Two Thresholds [27] - IEEE IDEAL, 2000

References

  1. ^ "AdHeat Advertisement Model for Social Network".
  2. ^ "Bidding on users".
  3. ^ "Ranking social network objects".
  4. ^ "System and method for producing a video skim".
  5. ^ "Generating visually representative video thumbnails".
  6. ^ https://infoscience.epfl.ch/record/146363/files/rr06-78.pdf
  7. ^ Dong Zhang; Gatica-Perez, D.; Bengio, S.; McCowan, I. (2006). "Modeling individual and group actions in meetings with layered HMMs". IEEE Transactions on Multimedia. 8 (3): 509–520. doi:10.1109/TMM.2006.870735. S2CID 1318877.
  8. ^ McCowan, Iain; Gatica-Perez, Daniel; Bengio, Samy; Lathoud, Guillaume; Barnard, Mark; Zhang, Dong (March 1, 2005). "Automatic Analysis of Multimodal Group Actions in Meetings". IEEE Transactions on Pattern Analysis and Machine Intelligence. 27 (3): 305–317. doi:10.1109/TPAMI.2005.49. PMID 15747787. S2CID 7699353 – via ACM Digital Library.
  9. ^ Zhang, Dong; Bengio, Samy (2007). "Exploring Contextual Information in a Layered Framework for Group Action Recognition". Multimedia and Expo, 2007 IEEE International Conference on (PDF). pp. 2022–2025. doi:10.1109/ICME.2007.4285077. ISBN 978-1-4244-1016-3. S2CID 9870772.
  10. ^ Rienks, Rutger; Zhang, Dong; Gatica-Perez, Daniel; Post, Wilfried (November 2, 2006). "Detection and application of influence rankings in small group meetings". Proceedings of the 8th international conference on Multimodal interfaces. Association for Computing Machinery. pp. 257–264. doi:10.1145/1180995.1181047. ISBN 1-59593-541-X. S2CID 441422 – via ACM Digital Library.
  11. ^ Zhang, Dong; Gatica-Perez, Daniel; Roy, Deb; Bengio, Samy (2006). "Modeling Interactions from Email Communication". 2006 IEEE International Conference on Multimedia and Expo. pp. 2037–2040. doi:10.1109/ICME.2006.262614. ISBN 1-4244-0366-7. S2CID 9834681. {{cite book}}: Check |isbn= value: checksum (help)
  12. ^ "Learning influence among interacting Markov chains". 5 December 2005. pp. 1577–1584.
  13. ^ Zhang, D.; Gatica-Perez, D.; Bengio, S.; McCowan, I. (2005). "Semi-supervised adapted HMMs for unusual event detection". 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) (PDF). Vol. 1. pp. 611–618. doi:10.1109/CVPR.2005.316. ISBN 0-7695-2372-2. S2CID 580047.
  14. ^ Dong Zhang; Gatica-Perez, D.; Bengio, S. (2005). "Semi-supervised meeting event recognition with adapted HMMs". 2005 IEEE International Conference on Multimedia and Expo (PDF). pp. 1102–1105. doi:10.1109/ICME.2005.1521618. ISBN 0-7803-9331-7. S2CID 7439600.
  15. ^ Gatica-Perez, D.; McCowan, I.; Dong Zhang; Bengio, S. (2005). "Detecting group interest-level in meetings". Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005 (PDF). Vol. 1. pp. 489–492. doi:10.1109/ICASSP.2005.1415157. ISBN 0-7803-8874-7. S2CID 7900275.
  16. ^ Gatica-Perez, Daniel; Zhang, Dong; Bengio, Samy (November 10, 2005). "Extracting information from multimedia meeting collections". Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval (PDF). Association for Computing Machinery. pp. 245–252. doi:10.1145/1101826.1101865. ISBN 1-59593-244-5. S2CID 2077800 – via ACM Digital Library.
  17. ^ Al-Hames, Marc; Dielmann, Alfred; Gatica-Perez, Daniel; Reiter, Stephan; Renals, Steve; Rigoll, Gerhard; Zhang, Dong (July 11, 2005). "Multimodal integration for meeting group action segmentation and recognition". Machine Learning for Multimodal Interaction (PDF). Lecture Notes in Computer Science. Vol. 3869. Springer-Verlag. pp. 52–63. doi:10.1007/11677482_5. ISBN 978-3-540-32549-9 – via ACM Digital Library.
  18. ^ https://www.idiap.ch/~gatica/publications/ZhangGaticaBengioMcCowan-tmm06.pdf[bare URL PDF]
  19. ^ Zhang, Dong; Gatica-Perez, Daniel; Bengio, Samy; McCowan, Iain; Lathoud, Guillaume (October 15, 2004). "Multimodal group action clustering in meetings". Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks (PDF). Association for Computing Machinery. pp. 54–62. doi:10.1145/1026799.1026810. ISBN 1-58113-934-9. S2CID 6037064 – via ACM Digital Library.
  20. ^ Zhang, Dong; Gatica-Perez, Daniel; Bengio, Samy; McCowan, Iain; Lathoud, Guillaume (June 27, 2004). Modeling Individual and Group Actions in Meetings: A Two-Layer HMM Framework. IEEE Computer Society. p. 117. ISBN 978-0-7695-2158-9 – via ACM Digital Library.
  21. ^ Zhang, Dong; Li, S. Z.; Gatica-Perez, Daniel (August 23, 2004). Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces. IEEE Computer Society. pp. 411–414. ISBN 978-0-7695-2128-2 – via ACM Digital Library.
  22. ^ Peng Yang; Shiguang Shan; Gao, Wen; Li, S.Z.; Dong Zhang (2004). "Face recognition using Ada-Boosted Gabor features". Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings. pp. 356–361. doi:10.1109/AFGR.2004.1301556. ISBN 0-7695-2122-3. S2CID 10082723.
  23. ^ https://www.researchgate.net/profile/Stan-Li/publication/2950091_Learning_to_Boost_GMM_Based_Speaker_Verification/links/0c9605331930531471000000/Learning-to-Boost-GMM-Based-Speaker-Verification.pdf
  24. ^ Hua, Xian-Sheng; Zhang, Dong; Li, Mingjing; Zhang, Hong-Jiang. "Performance Evaluation Protocol for Video Scene Detection Algorithms" – via core.ac.uk.
  25. ^ "MyVideos : a system for home video management".
  26. ^ Zhang, Dong; Qi, Wei; Zhang, Hong Jiang (February 6, 2001). "A New Shot Boundary Detection Algorithm". In Shum, Heung-Yeung; Liao, Mark; Chang, Shih-Fu (eds.). Advances in Multimedia Information Processing — PCM 2001. Lecture Notes in Computer Science. Vol. 2195. Springer. pp. 63–70. doi:10.1007/3-540-45453-5_9. ISBN 978-3-540-42680-6. S2CID 15517689 – via Springer Link.
  27. ^ Li, DaLong; Lu, HanQing; Zhang, Dong (February 6, 2000). "Video Segmentation by Two Measures and Two Thresholds". In Leung, Kwong Sak; Chan, Lai-Wan; Meng, Helen (eds.). Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents. Lecture Notes in Computer Science. Vol. 1983. Springer. pp. 455–460. doi:10.1007/3-540-44491-2_66. ISBN 978-3-540-41450-6 – via Springer Link.
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