Na Dai

According to our database, Na Dai authored at least 13 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Deep Learning-Based Fully Automatic Segmentation of the Paranasal Sinuses in Chronic Rhinosinusitis Patients Using Computed Tomographic Images.

Yuhang Wang, Xiaolei Zhang, Weidong Du, Na Dai, Yi Lyv, Keying Wu, Yiyang Tian, Yuxin Jie, Yu Lin, Weipiao Kang

IEEE Access, 2025

2012

Building Contextual Anchor Text Representation using Graph Regularization.

Na Dai

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Topic-Sensitive Search Engine Evaluation.

Na Dai, Brian D. Davison

Online Inf. Rev., 2011

Enhancing web search with entity intent.

Na Dai, Xiaoguang Qi, Brian D. Davison

Proceedings of the 20th International Conference on World Wide Web, 2011

Multi-objective optimization in learning to rank.

Na Dai, Milad Shokouhi, Brian D. Davison

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Learning to rank for freshness and relevance.

Na Dai, Milad Shokouhi, Brian D. Davison

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Bridging link and query intent to enhance web search.

Na Dai, Xiaoguang Qi, Brian D. Davison

Proceedings of the HT'11, 2011

2010

Capturing page freshness for web search.

Na Dai, Brian D. Davison

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Freshness matters: in flowers, food, and web authority.

Na Dai, Brian D. Davison

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Mining Neighbors' Topicality to Better Control Authority Flow.

Na Dai, Brian D. Davison, Yaoshuang Wang

Proceedings of the Advances in Information Retrieval, 2010

Mining Anchor Text Trends for Retrieval.

Na Dai, Brian D. Davison

Proceedings of the Advances in Information Retrieval, 2010

2009

Vetting the links of the web.

Na Dai, Brian D. Davison

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Looking into the past to better classify web spam.

Na Dai, Brian D. Davison, Xiaoguang Qi

Proceedings of the AIRWeb 2009, 2009