
يفان زانغ
مهندس سوفت وير أول
يفان زانغ
مهندس سوفت وير أول
المؤهلات العلمية
M.S. in Science (with Distinction)
B.Sc. in Engineering
الكيان
معهد قطر لبحوث الحوسبة
القسم
تحليل البيانات
السيرة الذاتية
Yifan Zhang has 20+ years of experience in research and development in speech and language-related products. Before joining QCRI, he built an information discovery engine for news discovery for Wavii (Google), developed a speech recognition engine serving millions of customers for Nuance and Autonomy. In QCRI, as part of the QCAI team, he works on Fanar, QCRI’s Generative AI project on text, speech, and image.
M.S. in Science (with Distinction)
Cardiff University, UK
2004
B.Sc. in Engineering
Xi’an Jiaotong University, China
2001
- Generative AI - text, speech, image
- Speech recognition
- Text mining
- Software engineering
Senior Software Engineer
Qatar Center for Artificial Intelligence, Qatar Computing Research Institute, HBKU
2013 - Present
Senior Software Engineer
Wavii (Google), US
2012 - 2013
Senior Research Engineer
SpinVox (Nuance), UK
2008 - 2012
R&D Engineer
Autonomy, UK
2005 - 2008
Lead Developer
Tianchuang Software, China
2001 - 2002
Da San Martino, G., Shaar, S., Zhang, Y., Yu, S., Barrón-Cedeño, A., & Nakov, P. (2020). PRTA: A system to support the analysis of propaganda techniques in the news. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations (pp. 287–293). Online.
Zhang, Y., Da San Martino, G., Barrón-Cedeño, A., Romeo, S., An, J., Kwak, H., Staykovski, T., Jaradat, I., Karadzhov, G., Baly, R., Darwish, K., & Glass, P. N. (2019). Tanbih: Get to know what you are reading. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (pp. 223–228). Hong Kong, China.
Ali, A., Bell, P., Gales, M., Kotti, M., Kuo, H.-K. J., Liu, X., Messaoudi, A., Nadejde, M., Renals, S., Taha, Y., & Trmal, J. (2016). The MGB-2 Challenge: Arabic multi-dialect broadcast media recognition. In Proceedings of the IEEE Spoken Language Technology Workshop (SLT 2016). California, USA.
Ali, A., Hamza, W., Lee, J., & Vogel, S. (2015). QATS – The QCRI advanced transcription and translation system. In Proceedings of INTERSPEECH 2015. Dresden, Germany.
Ali, A., Bell, P., & Renals, S. (2014). A complete Kaldi recipe for building Arabic speech recognition systems. In Proceedings of the IEEE Spoken Language Technology Workshop (SLT 2014). Nevada, USA.
- Best Demo (Honorable Mention), ACL 2020
- BBC NewsHack ‘Best Audience Award’ Winner, UK, 2018
- BBC NewsHack ‘Best in Show’ Winner, UK, 2014,
- Lion Laboratories Prize for Best Project, UK, 2001