About me

I have completed my MSc study of Computational Statistics and Machine Learning at University College London (UCL), with the final performance of Distinction. Prior to this, I have been conferred a bachelor’s degree in Statistics at Beijing Normal University-Hong Kong Baptist University United International College (UIC), with First Class.

The past years’ training has equipped me with a solid foundation in Machine Learning, and further stimulate my inner interest in the research of Natural Language Processing.

I like challenges and solving problems, and hope to achieve something significant; endlessly curious and seeking to extend my knowledge; can work with others in a team, but equally happy to concentrate on problems on my own.

News

• 2023-04-05  Glad that a full paper has been aceepted at SIGIR`23
• 2022-10-09  Promoted to NLP Senior Algorithm Engineer
• 2022-08-23  Got a silver medal in the “Feedback Prize - Predicting Effective Arguments” on Kaggle
• 2022-05-20  Two patents enter into Substantive Examination
• 2022-02-21  Take a business trip to Beijing
• 2022-02-07  Got a bronze medal in the “Jigsaw Rate Severity of Toxic Comments” on Kaggle
• 2021-09-25  Take a business trip to Beijing
• 2021-07-26  Take a business trip to Beijing
• 2021-07-21  Start working at Xpeng as NLP Algorithm Engineer
• 2021-05-04  Complete “Deep Learning Specialization” on Coursera
• 2021-05-01  Enjoy Cantonese songs at an outdoor concert “Cantopop Music Live”
• 2021-04-30  Start

Publications

[1] Peng, W., Li, W. (co-first author), Hu Y. (2023, July). Leader-Generator Net: Dividing Skill and Implicitness for Conquering FairytaleQA. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’23). Association for Computing Machinery, New York, NY, USA, 791–801. (CCF A)

[2] Li, W., Wang, X., & Feng, Q. (2021, March). Final Prediction of Product Quality in Batch Process based on Bidirectional Neural Network Algorithm. In IOP Conference Series: Earth and Environmental Science (Vol. 692, No. 3, p. 032091). IOP Publishing.

[3] Li, W., Liu, Y., & Jiang, W. (2021, Feb). Research on the Method of Screening Alarm Information of Secondary Equipment in Power System Based on Deep Learning NLP Technology. Basic & Clinical Pharmacology & Toxicology, 128(S1), 89–90. (Impact factor: 4.080)