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Hongzhi Li 0001

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affiliation: Microsoft Research, Redmond, WA, USA
affiliation (PhD 2016): Columbia University, USA

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2010 – 2019

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2019
[j1]
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Hongzhi Li, Joseph G. Ellis, Lei Zhang, Shih-Fu Chang:
Automatic visual pattern mining from categorical image dataset. Int. J. Multim. Inf. Retr. 8(1): 35-45 (2019)
2018
[c10]
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Hongzhi Li, Joseph G. Ellis, Lei Zhang, Shih-Fu Chang:
PatternNet: Visual Pattern Mining with Deep Neural Network. ICMR 2018: 291-299
2017
[c9]
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Tongtao Zhang, Spencer Whitehead, Hanwang Zhang, Hongzhi Li, Joseph G. Ellis, Lifu Huang, Wei Liu, Heng Ji, Shih-Fu Chang:
Improving Event Extraction via Multimodal Integration. ACM Multimedia 2017: 270-278
[i2]
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Hongzhi Li, Joseph G. Ellis, Lei Zhang, Shih-Fu Chang:
PatternNet: Visual Pattern Mining with Deep Neural Network. CoRR abs/1703.06339 (2017)
2016
[b1]
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Hongzhi Li:
Pattern Mining and Concept Discovery for Multimodal Content Analysis. Columbia University, USA, 2016
[c8]
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  - conf/mir/SongELC16
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Emily Song, Joseph G. Ellis, Hongzhi Li, Shih-Fu Chang:
Watching What and How Politicians Discuss Various Topics: A Large-Scale Video Analytics UI. ICMR 2016: 401-404
[c7]
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Joseph G. Ellis, Svebor Karaman, Hongzhi Li, Hong Bin Shim, Shih-Fu Chang:
Placing Broadcast News Videos in their Social Media Context Using Hashtags. ACM Multimedia 2016: 684-688
[c6]
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Hongzhi Li, Joseph G. Ellis, Heng Ji, Shih-Fu Chang:
Event Specific Multimodal Pattern Mining for Knowledge Base Construction. ACM Multimedia 2016: 821-830
[c5]
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Di Lu, Clare R. Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-Fu Chang, Jiawei Han, William A. Wallace, James A. Hendler, Mei Si, Lance M. Kaplan:
Cross-media Event Extraction and Recommendation. HLT-NAACL Demos 2016: 72-76
[i1]
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Hongzhi Li, Joseph G. Ellis, Shih-Fu Chang:
Event Specific Multimodal Pattern Mining with Image-Caption Pairs. CoRR abs/1601.00022 (2016)
2015
[c4]
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  - conf/emnlp/ZhangLJC15
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Tongtao Zhang, Hongzhi Li, Heng Ji, Shih-Fu Chang:
Cross-document Event Coreference Resolution based on Cross-media Features. EMNLP 2015: 201-206
2014
[c3]
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Wei Zhang, Hongzhi Li, Chong-Wah Ngo, Shih-Fu Chang:
Scalable Visual Instance Mining with Threads of Features. ACM Multimedia 2014: 297-306
2013
[c2]
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  - conf/mm/JouLEMC13
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Brendan Jou, Hongzhi Li, Joseph G. Ellis, Daniel Morozoff-Abegauz, Shih-Fu Chang:
Structured exploration of who, what, when, and where in heterogeneous multimedia news sources. ACM Multimedia 2013: 357-360
[c1]
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Hongzhi Li, Brendan Jou, Joseph G. Ellis, Daniel Morozoff, Shih-Fu Chang:
News rover: exploring topical structures and serendipity in heterogeneous multimedia news. ACM Multimedia 2013: 449-450

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