Tao Dai Associate professor

• Department: School of Future Transportation
• Gender: male
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• Career: Associate professor
• Degree: Ph. D
• Academic Credentials:
• Graduate School: Xian Jiao Tong University
• Tel: 029-61105325
• Email: daitao@chd.edu.cn
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Dr. Dai received his B.E., M.E. and Ph.D. degree in Software Engineering from Xi’an Jiaotong University, China, in 2008, 2011 and 2020, respectively. He is currently an Associate Professor with the School of Future Transportation, Chang’an  University, China. From 2011 to 2015, he was a Lecturer of Software Engineering with the College of Information Engineering, Northwest A&F University, Shannxi, China.  From 2018 to 2019, he was a joint Ph.D. student with the School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA. His main research interests include traffic big data analysis, multi-modal information processing, information retrieval and machine learning.

[1] Ruixuan Zhang, Zhepu Yang, Tao Dai, Daniel Jian Sun, Shuangxun Ma, Xiangmo Zhao. MAGAE: Multi-level Alignment    over Aggregation Semantic Graph with Attribute Enhancement for Text-based Vehicle Retrieval. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2025 (Accepted, SCI, IF:7.9)

[2] Zhengdan Yin, Sanping Zhou, Le Wang, Tao Dai, Gang Hua and Nanning Zheng . Residual feature learning with hierarchical calibration for gaze estimation. Machine Vision and Applications, 35(4), 1-11. (SCI)

[3] Tao Dai, Jie Zhao, Dehong Li, Shun Tian, Xiangmo Zhao and Shirui Pan. Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation. Expert Systems with Applications, 2023, 213: 118841. (SCI，IF:8.665)

[4] Tao Dai,Wenjun Yan, Kaiqi Zhang, ChenQiu, Xiangmo Zhao and Shirui Pan. Gated relational stacked denoising autoencoder with localized author embedding for global citation recommendation. Expert Systems with Applications, 2021, 184: 115359. (SCI，IF:6.954)

[5] Tao Dai, Li Zhu, Yaxiong Wang and Kathleen M. Carley. Attentive stacked denoising autoencoder with Bi-LSTM for personalized context-aware citation recommendation. IEEE-ACM Transactions on Audio Speech and Language Processing (T-ASLP), 2019, 28: 553-568. (SCI，IF:3.398,  CCF B)