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2018

Conference Publication

Fast parallel path concatenation for graph extraction

Shao, Yingxia, Lei, Kai, Chen, Lei, Huang, Zi, Cui, Bin, Liu, Zhongyi, Tong, Yunhai and Xu, Jin (2018). Fast parallel path concatenation for graph extraction. 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, 16-19 April 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDE.2018.00234

Fast parallel path concatenation for graph extraction

2018

Conference Publication

Modal-adversarial semantic learning network for extendable cross-modal retrieval

Xu, Xing, Song, Jingkuan, Lu, Huimin, Yang, Yang, Shen, Fumin and Huang, Zi (2018). Modal-adversarial semantic learning network for extendable cross-modal retrieval. 8th ACM International Conference on Multimedia Retrieval, ICMR 2018, Yokohama, Japan, 11-14 June 2018. New York, NY, United States: Association for Computing Machinery, Inc. doi: 10.1145/3206025.3206033

Modal-adversarial semantic learning network for extendable cross-modal retrieval

2018

Conference Publication

Joint event-partner recommendation in event-based social networks

Yin, Hongzhi, Zou, Lei, Nguyen, Quoc Viet Hung, Huang, Zi and Zhou, Xiaofang (2018). Joint event-partner recommendation in event-based social networks. 34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France, 16-19 April 2018. NEW YORK: IEEE. doi: 10.1109/ICDE.2018.00088

Joint event-partner recommendation in event-based social networks

2018

Conference Publication

Look deeper see richer: Depth-aware image paragraph captioning

Wang, Ziwei, Luo, Yadan, Li, Yang, Huang, Zi and Yin, Hongzhi (2018). Look deeper see richer: Depth-aware image paragraph captioning. 26th ACM Multimedia conference, MM 2018, Seoul, South Korea, October 22 - 26, 2018. New York, NY, Untied States: Association for Computing Machinery, Inc. doi: 10.1145/3240508.3240583

Look deeper see richer: Depth-aware image paragraph captioning

2018

Conference Publication

Restricted boltzmann machine based active learning for sparse recommendation

Wang, Weiqing, Yin, Hongzhi, Huang, Zi, Sun, Xiaoshuai and Hung, Nguyen Quoc Viet (2018). Restricted boltzmann machine based active learning for sparse recommendation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD Australia, 21 - 24 May 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-91452-7_7

Restricted boltzmann machine based active learning for sparse recommendation

2018

Conference Publication

Neural memory streaming recommender networks with adversarial training

Wang, Qinyong, Lian, Defu, Yin, Hongzhi, Wang, Hao, Hu, Zhiting and Huang, Zi (2018). Neural memory streaming recommender networks with adversarial training. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018, London, United Kingdom, 19 - 23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3219819.3220004

Neural memory streaming recommender networks with adversarial training

2018

Conference Publication

I read, I saw, I tell: texts assisted fine-grained visual classification

Li, Jingjing, Zhu, Lei, Huang, Zi, Lu, Ke and Zhao, Jidong (2018). I read, I saw, I tell: texts assisted fine-grained visual classification. 26th ACM Multimedia conference (MM 2018), Seoul, Republic of Korea, 22-26 October 2018. New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.1145/3240508.3240579

I read, I saw, I tell: texts assisted fine-grained visual classification

2018

Conference Publication

TSAUB: a temporal-sentiment-aware user behavior model for personalized recommendation

Wang, Qinyong, Yin, Hongzhi, Wang, Hao and Huang, Zi (2018). TSAUB: a temporal-sentiment-aware user behavior model for personalized recommendation. 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, 24-27 May 2018. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-92013-9_17

TSAUB: a temporal-sentiment-aware user behavior model for personalized recommendation

2018

Conference Publication

Coarse-to-fine annotation enrichment for semantic segmentation learning

Luo, Yadan, Wang, Ziwei, Huang, Zi, Yang, Yang and Zhao, Cong (2018). Coarse-to-fine annotation enrichment for semantic segmentation learning. 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, 22-26 October 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3269206.3271672

Coarse-to-fine annotation enrichment for semantic segmentation learning

2017

Conference Publication

From community detection to community profiling

Cai, Hongyun, Zheng, Vincent W., Zhu, Fanwei, Chang, Kevin Chen-Chuan and Huang, Zi (2017). From community detection to community profiling. 43rd International Conference on Very Large Data Bases, VLDB 2017, Munich, Germany, 28 August - 1 September 2017. New York, NY, United States: Association for Computing Machinery. doi: 10.14778/3067421.3067430

From community detection to community profiling

2017

Conference Publication

An integrated model for effective saliency prediction

Sun, Xiaoshuai, Huang, Zi, Yin, Hongzhi and Shen, Heng Tao (2017). An integrated model for effective saliency prediction. 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, CA., United States, 04-10 February 2017. Palo Alto, CA., United States: AAAI press.

An integrated model for effective saliency prediction

2017

Conference Publication

Social lens: searching and browsing communities by content and interaction

Cai, Hongyun, Zheng, Vincent W., Chen, Penghe, Zhu, Fanwei, Chang, Kevin Chen-Chuan and Huang, Zi (2017). Social lens: searching and browsing communities by content and interaction. 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, United States, 19 - 22 April 2017. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE.2017.194

Social lens: searching and browsing communities by content and interaction

2017

Conference Publication

Event Early embedding: Predicting event volume dynamics at early stage

Liu, Zhiwei, Yang, Yang, Huang, Zi, Shen, Fumin, Zhang, Dongxiang and Tao Shen, Heng (2017). Event Early embedding: Predicting event volume dynamics at early stage. 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017, Shinjuku, Tokyo, Japan, 07-11 August 2017. New York, New York, United States: Association for Computing Machinery. doi: 10.1145/3077136.3080700

Event Early embedding: Predicting event volume dynamics at early stage

2017

Conference Publication

Local deep descriptors in bag-of-words for image retrieval

Cao, Jiewei, Huang, Zi and Shen, Heng Tao (2017). Local deep descriptors in bag-of-words for image retrieval. Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, 23-27 October 2017. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3126686.3127018

Local deep descriptors in bag-of-words for image retrieval

2017

Conference Publication

Exploring consistent preferences: Discrete hashing with pair-exemplar for scalable landmark search

Zhu, Lei, Huang, Zi, Chang, Xiaojun, Song, Jingkuan and Shen, Heng Tao (2017). Exploring consistent preferences: Discrete hashing with pair-exemplar for scalable landmark search. 2017 ACM on Multimedia Conference, Mountain View, California, USA, 23-27 October 2017. New York, New York, United States: Association for Computing Machinery, Inc. doi: 10.1145/3123266.3123301

Exploring consistent preferences: Discrete hashing with pair-exemplar for scalable landmark search

2017

Conference Publication

An integrated model for effective saliency prediction

Sun, Xiaoshuai, Huang, Zi, Yin, Hongzhi and Shen, Heng Tao (2017). An integrated model for effective saliency prediction. AAAI Conference on Artificial Intelligence, San Francisco, CA, United States, 4-9 February 2017. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.

An integrated model for effective saliency prediction

2017

Conference Publication

Leveraging weak semantic relevance for complex video event classification

Li, Chao, Cao, Jiewei, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2017). Leveraging weak semantic relevance for complex video event classification. 16th IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 22-29 October 2017. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICCV.2017.394

Leveraging weak semantic relevance for complex video event classification

2017

Conference Publication

Event video mashup: From hundreds of videos to minutes of Skeleton

Gao, Lianli, Wang, Peng, Song, Jingkuan, Huang, Zi, Shao, Jie and Shen, Heng Tao (2017). Event video mashup: From hundreds of videos to minutes of Skeleton. 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, CA., United States, 04-10 February 2017. Palo Alto, CA., United States: AAAI press.

Event video mashup: From hundreds of videos to minutes of Skeleton

2017

Conference Publication

Jointly modeling static visual appearance and temporal pattern for unsupervised video hashing

Li, Chao, Yang, Yang, Cao, Jiewei and Huang, Zi (2017). Jointly modeling static visual appearance and temporal pattern for unsupervised video hashing. 26th ACM International Conference on Information and Knowledge Management, CIKM 2017, Singapore, Singapore, 06 - 10 November 2017. New York, New York, United States: Association for Computing Machinery. doi: 10.1145/3132847.3133030

Jointly modeling static visual appearance and temporal pattern for unsupervised video hashing

2017

Conference Publication

Adaptively attending to visual attributes and linguistic knowledge for captioning

Bin, Yi, Yang, Yang, Zhou, Jie, Huang, Zi and Shen, Heng Tao (2017). Adaptively attending to visual attributes and linguistic knowledge for captioning. 25th ACM International Conference on Multimedia, MM 2017, Mountain View, CA, 23-27 October 2017. New York City, NY, United States: Association for Computing Machinery. doi: 10.1145/3123266.3123391

Adaptively attending to visual attributes and linguistic knowledge for captioning