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2019

Conference Publication

Exploiting centrality information with graph convolutions for network representation learning

Chen, Hongxu, Yin, Hongzhi, Chen, Tong, Nguyen, Quoc Viet Hung, Peng, Wen-Chih and Li, Xue (2019). Exploiting centrality information with graph convolutions for network representation learning. IEEE 35th International Conference on Data Engineering (ICDE), Macau, China, 8-11 April 2019. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/ICDE.2019.00059

Exploiting centrality information with graph convolutions for network representation learning

2019

Journal Article

Modelling user attitudes using hierarchical sentiment-topic model

Almars, Abdulqader, Li, Xue and Zhao, Xin (2019). Modelling user attitudes using hierarchical sentiment-topic model. Data and Knowledge Engineering, 119, 139-149. doi: 10.1016/j.datak.2019.01.005

Modelling user attitudes using hierarchical sentiment-topic model

2018

Journal Article

Social event detection with retweeting behavior correlation

Chen, Xi, Zhou, Xiangmin, Sellis, Timos and Li, Xue (2018). Social event detection with retweeting behavior correlation. Expert Systems with Applications, 114, 516-523. doi: 10.1016/j.eswa.2018.08.022

Social event detection with retweeting behavior correlation

2018

Journal Article

Adaptive recognition of different accents conversations based on convolutional neural network

Zhong, Jiang, Zhang, Pan and Li, Xue (2018). Adaptive recognition of different accents conversations based on convolutional neural network. Multimedia Tools and Applications, 78 (21), 30749-30767. doi: 10.1007/s11042-018-6590-4

Adaptive recognition of different accents conversations based on convolutional neural network

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

主题特征格分析:一种用户生成文本质量评估方法

Zhong, Jiang, Zhang, Shu-Fang, Guo, Wei-Li and Li, Xue (2018). 主题特征格分析:一种用户生成文本质量评估方法. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 46 (9), 2201-2206. doi: 10.3969/j.issn.0372-2112.2018.09.022

主题特征格分析:一种用户生成文本质量评估方法

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

Conference Publication

Call attention to rumors: deep attention based recurrent neural networks for early rumor detection

Chen, Tong, Li, Xue, Yin, Hongzhi and Zhang, Jun (2018). Call attention to rumors: deep attention based recurrent neural networks for early rumor detection. 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, Melbourne, VIC, Australia, 3 June 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-04503-6_4

Call attention to rumors: deep attention based recurrent neural networks for early rumor detection

2018

Conference Publication

Treatment recommendation in critical care: a scalable and interpretable approach in partially observable health states

Utomo, Chandra Prasetyo, Li, Xue and Chen, Weitong (2018). Treatment recommendation in critical care: a scalable and interpretable approach in partially observable health states. 39th International Conference on Information Systems, ICIS 2018, San Francisco, CA United States, 13-16 December 2018. Atlanta, GA United States: Association for Information Systems.

Treatment recommendation in critical care: a scalable and interpretable approach in partially observable health states

2018

Conference Publication

A combined feature approach for speaker segmentation using convolution neural network

Zhong, Jiang, Zhang, Pan and Li, Xue (2018). A combined feature approach for speaker segmentation using convolution neural network. 18th Pacific-Rim Conference on Multimedia, PCM 2017, Harbin, China, 28-29 September 2017. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-319-77383-4_54

A combined feature approach for speaker segmentation using convolution neural network

2018

Conference Publication

TADA: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction

Chen, Tong, Yin, Hongzhi, Chen, Hongxu, Wu, Lin, Wang, Hao, Zhou, Xiaofang and Li, Xue (2018). TADA: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction. 18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, 17-20 November 2018. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICDM.2018.00020

TADA: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction