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2018

Journal Article

GRIP: a Group Recommender Based on Interactive Preference model

Li, Bo-Han, Zhang, An-Man, Zheng, Wei, Wan, Shuo, Qin, Xiao-Lin, Li, Xue and Yin, Hai-Lian (2018). GRIP: a Group Recommender Based on Interactive Preference model. Journal of Computer Science and Technology, 33 (5), 1039-1055. doi: 10.1007/s11390-018-1846-z

GRIP: a Group Recommender Based on Interactive Preference model

2018

Journal Article

Metformin versus insulin for gestational diabetes: the reporting of ethnicity and a meta-analysis combining English and Chinese literatures

Zhen, Xi May, Li, Xue and Chen, Chen (2018). Metformin versus insulin for gestational diabetes: the reporting of ethnicity and a meta-analysis combining English and Chinese literatures. Obesity Medicine, 11, 48-58. doi: 10.1016/j.obmed.2018.08.001

Metformin versus insulin for gestational diabetes: the reporting of ethnicity and a meta-analysis combining English and Chinese literatures

2018

Journal Article

Longer-term outcomes in offspring of GDM mothers treated with metformin versus insulin

May Zhen, Xi, Li, Xue and Chen, Chen (2018). Longer-term outcomes in offspring of GDM mothers treated with metformin versus insulin. Diabetes Research and Clinical Practice, 144, 82-92. doi: 10.1016/j.diabres.2018.07.002

Longer-term outcomes in offspring of GDM mothers treated with metformin versus insulin

2018

Journal Article

A survey of sentiment analysis in social media

Yue, Lin, Chen, Weitong, Li, Xue, Zuo, Wanli and Yin, Minghao (2018). A survey of sentiment analysis in social media. Knowledge and Information Systems, 60 (2), 1-47. doi: 10.1007/s10115-018-1236-4

A survey of sentiment analysis in social media

2018

Journal Article

Bio-inspired learning approach for electronic nose

Al-Maskari, Sanad, Xu, Zhuoming, Guo, Wenping, Zhao, Xiaoming and Li, Xue (2018). Bio-inspired learning approach for electronic nose. Computing, 100 (4), 387-402. doi: 10.1007/s00607-018-0604-y

Bio-inspired learning approach for electronic nose

2018

Journal Article

What-and-where to match: Deep spatially multiplicative integration networks for person re-identification

Wu, Lin, Wang, Yang, Li, Xue and Gao, Junbin (2018). What-and-where to match: Deep spatially multiplicative integration networks for person re-identification. Pattern Recognition, 76, 727-738. doi: 10.1016/j.patcog.2017.10.004

What-and-where to match: Deep spatially multiplicative integration networks for person re-identification

2018

Journal Article

Deep attention-based spatially recursive networks for fine-grained visual recognition

Wu, Lin, Wang, Yang, Li, Xue and Gao, Junbin (2018). Deep attention-based spatially recursive networks for fine-grained visual recognition. IEEE Transactions on Cybernetics, 49 (5) 8322428, 1-12. doi: 10.1109/TCYB.2018.2813971

Deep attention-based spatially recursive networks for fine-grained visual recognition

2018

Journal Article

Device-free human localization and tracking with UHF passive RFID tags: a data-driven approach

Ruan, Wenjie, Sheng, Quan Z., Yao, Lina, Li, Xue, Falkner, Nickolas J.G. and Yang, Lei (2018). Device-free human localization and tracking with UHF passive RFID tags: a data-driven approach. Journal of Network and Computer Applications, 104, 78-96. doi: 10.1016/j.jnca.2017.12.010

Device-free human localization and tracking with UHF passive RFID tags: a data-driven approach

2018

Journal Article

LGA: latent genre aware micro-video recommendation on social media

Ma, Jingwei, Li, Guang, Zhong, Mingyang, Zhao, Xin, Zhu, Lei and Li, Xue (2018). LGA: latent genre aware micro-video recommendation on social media. Multimedia Tools and Applications, 77 (3), 2991-3008. doi: 10.1007/s11042-017-4827-2

LGA: latent genre aware micro-video recommendation on social media

2018

Journal Article

Compressive representation for device-free activity recognition with passive RFID signal strength

Yao, Lina, Sheng, Quan Z., Li, Xue, Gu, Tao, Tan, Mingkui, Wang, Xianzhi, Wang, Sen and Ruan, Wenjie (2018). Compressive representation for device-free activity recognition with passive RFID signal strength. IEEE Transactions On Mobile Computing, 17 (2) 7938705, 293-306. doi: 10.1109/TMC.2017.2706282

Compressive representation for device-free activity recognition with passive RFID signal strength

2018

Journal Article

Applying a "Big Data" Literature System to Recommend Antihypertensive Drugs for Hypertension Patients with Diabetes Mellitus

Shu, Jing-xian, Li, Ying, He, Ting, Chen, Ling, Li, Xue, Zou, Lin-lin, Yin, Lu, Li, Xiao-hui, Wang, An-li, Liu, Xing and Yuan, Hong (2018). Applying a "Big Data" Literature System to Recommend Antihypertensive Drugs for Hypertension Patients with Diabetes Mellitus. Medical Science Monitor, 24, 114-148. doi: 10.12659/MSM.907015

Applying a "Big Data" Literature System to Recommend Antihypertensive Drugs for Hypertension Patients with Diabetes Mellitus

2018

Journal Article

Deep adaptive feature embedding with local sample distributions for person re-identification

Wu, Lin, Wang, Yang, Gao, Junbin and Li, Xue (2018). Deep adaptive feature embedding with local sample distributions for person re-identification. Pattern Recognition, 73, 275-288. doi: 10.1016/j.patcog.2017.08.029

Deep adaptive feature embedding with local sample distributions for person re-identification

2018

Journal Article

Preface

Li, Xue, Gama, Joao, Chen, Bing, Chen, Songcan, Wang, Shuliang and Zhu, Xingquan Hill (2018). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11323 LNAI, v-vi.

Preface

2017

Journal Article

Structured deep hashing with convolutional neural networks for fast person re-identification

Wu, Lin , Wang, Yang, Ge, Zongyuan, Hu, Qichang and Li, Xue (2017). Structured deep hashing with convolutional neural networks for fast person re-identification. Computer Vision and Image Understanding, 167, 63-73. doi: 10.1016/j.cviu.2017.11.009

Structured deep hashing with convolutional neural networks for fast person re-identification

2017

Journal Article

基于启发策略的动态平衡图划分算法

Li, Qi, Zhong, Jiang and Li, Xue (2017). 基于启发策略的动态平衡图划分算法. Jisuanji Yanjiu yu Fazhan, 54 (12), 2851-2857. doi: 10.7544/issn1000-1239.2017.20160690

基于启发策略的动态平衡图划分算法

2017

Journal Article

Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things

Yao, Lina, Sheng, Quan Z., Ngu, Anne H.H., Li, Xue and Benattalah, Boualem (2017). Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things. Acm Transactions On Intelligent Systems and Technology, 8 (5) 62, 1-25. doi: 10.1145/3035967

Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things

2017

Journal Article

Answering why-not questions on semantic multimedia queries

Wang, Meng, Chen, Weitong, Wang, Sen, Liu, Jun, Li, Xue and Stantic, Bela (2017). Answering why-not questions on semantic multimedia queries. Multimedia Tools and Applications, 77 (3), 3405-3429. doi: 10.1007/s11042-017-5151-6

Answering why-not questions on semantic multimedia queries

2017

Journal Article

A multiview learning framework with a linear computational cost

Xue, Xiaowei, Nie, Feiping, Li, Zhihui, Wang, Sen, Li, Xue and Yao, Min (2017). A multiview learning framework with a linear computational cost. IEEE Transactions on Cybernetics, 48 (8), 2416-2425. doi: 10.1109/TCYB.2017.2739423

A multiview learning framework with a linear computational cost

2017

Journal Article

Collaborative text categorization via exploiting sparse coefficients

Yao, Lina, Sheng, Quan Z., Wang, Xianzhi, Wang, Shengrui, Li, Xue and Wang, Sen (2017). Collaborative text categorization via exploiting sparse coefficients. World Wide Web: internet and web information systems, 21 (2), 1-22. doi: 10.1007/s11280-017-0460-2

Collaborative text categorization via exploiting sparse coefficients

2017

Journal Article

Learning multiple diagnosis codes for ICU patients with local disease correlation mining

Wang, Sen, Li, Xue, Chang, Xiaojun, Yao, Lina, Sheng, Quan Z. and Long, Guodong (2017). Learning multiple diagnosis codes for ICU patients with local disease correlation mining. ACM Transactions on Knowledge Discovery from Data, 11 (3) 31, 1-21. doi: 10.1145/3003729

Learning multiple diagnosis codes for ICU patients with local disease correlation mining