Lu Jin

Lu Jin is currently a Ph.D candidate student in Nanjing University of Science and Technology in Computer Science and Technology. She received the B.E. and Master degree from Northeast University at Qinhuangdao and Yangzhou University in 2010 and 2013, respectively. From 2015 to 2017, she worked as a visiting scholar in the MAPLE lab at University of Central Florida, advised by Guo-Jun Qi. She has authored over 4 papers in top-tier journals and conferences. Her research interests include multimedia analysis, multimedia retrieval, deep learning and machine learning. She has received the Best Student Paper Award in ICIMCS 2018.  [中文版]

★ Experience

1. 2006-2010                 Bachelor at Northeast University at Qinhuangdao

2. 2010 -2013                Master at Yangzhou University

3. 2015- 2017                a visiting scholar in the MAPLE lab at University of Central Florida

4. 2013- now                 Phd Candidate at Nanjing University of Science and Technology

★ Selected Publications

1. Lu Jin, Kai Li, Zechao Li, Fu Xiao, Guo-Jun Qi, Jinhui Tang* . Deep Semantic-Preserving Ordinal Hashing for Cross-Modal Similarity Search. IEEE Transactions on Neural Networks and Learning Systems, 2018, DOI: 10.1109/TNNLS.2018.2869601.

2. Lu Jin, Kai Li, Hao Hu, Guo-Jun Qi, Jinhui Tang*. Semantic Neighbor Graph Hashing for Multimodal Retrieval. IEEE Transactions on Image Processing. 27(3), 1405-1417, 2017.

3. Lu, Jin, Xiangbo Shu, Kai Li, Zechao Li, Guo-Jun Qi, Jinhui Tang* . Deep Ordinal Hashing with Spatial Attention. arXiv preprint arXiv:1805.02459, 2018.

4. Lu Jin, Zechao Li, Xiangbo Shu, Shenghua Gao, Jinhui Tang* . Partially Common-Semantic Pursuit for RGB-D Object Recognition. ACM Multimedia (MM), 959-962, 2015.

5. Jinhui Tang, Lu Jin, Zechao Li, Shenghua Gao . RGB-D Object Recognition via Incorporating Latent Data Structure and Prior Knowledge. IEEE Transactions on Multimedia, 17(11): 1899-1908, 2015.

6. Lu Jin, Qiuli Liu, Zechao Li* . Deep Hashing with Multilevel Similarity Learning for Multimedia Similarity Search. International Conference on Internet Multimedia Computing and Service (ICIMCS), 2018, best student paper award.

7. Lu Jin, Shenghua Gao, Zechao Li, Jinhui Tang . Hand-Crafted Features or Machine Learnt Features? Together They Improve RGB-D Object Recognition. IEEE International Symposium on Multimedia (ISM), 311-319, 2014.

★ Major Honors & Awards

2018          International Conference on Internet Multimedia Computing and Service, best student paper award.

2015          National Scholarship for Doctoral Students