Ph.D. student in the Department of Computer Science and Engineering at The Chinese University of Hong Kong, supervised by Prof. Irwin King. Blend of academic research and hands-on industry engineering, specializing in Natural Language Processing, Spoken Language Processing, and AI for music with works published. My research mainly focuses on Natural Language Processing, Text-based and Speech-based Large Language Models, and AI Music Generation. Actively seeking opportunities for research internships in language and speech processing, aiming to leverage my refined skills in an industrial setting to contribute significantly to cutting-edge AI research and projects.

• 2024 Oct.: My paper "Recent Advances in Speech Language Models: A Survey" has been publicly released on arxiv.
• 2024 Oct.: One paper has been accepted for BIBM 2024.
• 2024 Apr.: My paper "MoodLoopGP: Generating Emotion-Conditioned Loop Tablature Music with Multi-Granular Features" has been nominated for the best paper award in EvoMUSART 2024 and have received the outstanding student award!
• 2024 Jan.: One paper has been accepted for EvoMUSART 2024.
• 2024 Jan.: I am starting my PhD study at the Chinese University of Hong Kong.
• 2024 Dec.: Developed and Open-sourced a tool that automatically adds calendar events based on text prompts powered by ChatGPT.
• 2023 Jun.: Preprint of My paper "Exploring semantic information in disease: Simple Data Augmentation Techniques for Chinese Disease Normalization" released on ArXiv.
• 2022 Dec.: One paper has been accepted in IEEE BigData 2022.

• Cui, Wenqian, Pedro Sarmento, and Mathieu Barthet. "MoodLoopGP: Generating Emotion-Conditioned Loop Tablature Music with Multi-granular Features." In International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar), pp. 97-113. Cham: Springer Nature Switzerland, 2024.
• Cui, Wenqian, Shaohui Liu, Xiangling Fu, Xien Liu, and Ji Wu. "Exploring semantic information in disease: Simple Data Augmentation Techniques for Chinese Disease Normalization." arXiv preprint arXiv:2306.01931 (2023).
• Gu, Mingjun, Wenqian Cui, and Xiangling Fu. "BioSentEval: An Evaluation Toolkit for Chinese Medical Sentence Representation." In 2022 IEEE International Conference on Big Data (Big Data), pp. 3107-3111. IEEE, 2022.
• Liu, Yijian, Junli Yang, and Wenqian Cui. "Simple, Fast, Accurate Object Detection based on Anchor-Free Method for High Resolution Remote Sensing Images." In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 2443-2446. IEEE, 2020.