Doctoral Degree in Philosophy

With Certificate of Graduation for Doctorate Study

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Xue Lanqing graduated with a bachelor's degree from the School of Computer Science at Wuhan University and obtained a Ph.D. from the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. Previously, Lanqing worked as a senior algorithm engineer at Ant Group for nearly 3 years. Lanqing's main research areas include natural language processing and generation, prompt engineering, and computer music. Lanqing has published multiple papers at ACL、AAAI. During undergraduate studies, Lanqing received the National Scholarship from Wuhan University, and during the Ph.D., Lanqing was awarded The Hong Kong PhD Fellowship Scheme (HKPFS).



Research Interests

Natural Language Generation、Attention Mechanism、Text-to-image、LLM Inference、AI4Science、Computer Music。Undergraduate and master's students who are interested are welcome to contact me via email.


Educational and Work Experiences

2024.08-now, Lecturer, Hefei University of Technology

2021.10-2024.06, Advanced Algorithm Engineer,Ant Group 

2016.09-2021.09, Ph.D., Computer science and engineering, Hong Kong University of Science and Technology

2012.09-2016.06, Bechelor,Computer School, Wuhan University


Publications

  1. Lanqing Xue, Xiaopeng Li, Nevin L. Zhang. Not all attention is needed: Gated attention network for sequence data. AAAI 2020.

  2. Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, Nevin L. Zhang. Response-anticipated memory for on-demand knowledge integration in response generation. ACL 2020.

  3. Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang, Tie-Yan Liu. DeepRapper: Neural rap generation with rhyme and rhythm modeling. ACL 2021.

  4. Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang. Enhancing content preservation in text style transfer using reverse attention and conditional layer normalization. ACL 2021.

  5. Kun Wu, Xinyi Mou, Lanqing Xue, Zhenzhe Ying, Weiqiang Wang, Qi Zhang, Xuan-Jing Huang, Zhongyu Wei. PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph. COLING 2024.


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