I’m a final-year Ph.D. candidate in the Department of Computer Science and Engineering at The Ohio State University, where I’m fortunately advised by Prof. DeLiang Wang in the Perception and Neurodynamics Laboratory (PNL). I hold an M.S. in Electrical and Computer Engineering from Georgia Institute of Technology and a B.E. in Information Engineering from Southeast University.

My research interests are in automatic speech recognition, speech separation, and self-supervised learning.

Feel free to contact me via email: yang.5662@osu.edu or yfyang@ieee.org.

Education

Ph.D. in Computer Science and Engineering, The Ohio State University, USA, 2026 (expected)
- Advisor: Prof. DeLiang Wang
M.S. in Electrical and Computer Engineering, Georgia Institute of Technology, USA, 2020
- Advisor: Prof. David V Anderson
B.E. in Information Engineering, Southeast University, China, 2018
- Advisor: Prof. Chuan Zhang

Industry Experience

Research Scientist Intern, Meta (May - August 2025)
- Reality Labs voice AI assistant team
- Focus: Multi-channel streaming ASR for smart glasses
- Mentor: Yiteng Huang and Yong Xu
Research Scientist Intern, Meta (May - August 2024)
- GenAI Llama speech team
- Focus: Multi-channel self-supervised learning for smart glasses
- Mentor: Desh Raj
Research Intern, Mitsubishi Electric Research Laboratories (May - August 2023)
- Speech and Audio group
- Focus: Source separation and self-supervised learning
- Mentor: François Germain
Research Intern, Microsoft Research Asia (May - August 2019)
- Speech group
- Focus: Overlapped speech detection
- Mentor: Frank K.P. Soong

Publications

Yufeng Yang, Yiteng Huang, Yong Xu, Li Wan, Suwon Shon, Yang Liu, Yifeng Fan, Zhaojun Yang, Olivier Siohan, Yue Liu, Ming Sun, and Florian Metze, “Multi-channel differential ASR for robust wearer speech recognition on smart glasses,” arXiv:2509.14430, 2025. (In submission to IEEE ICASSP 2026). [pdf]
Yufeng Yang, Ashutosh Pandey, and DeLiang Wang, “Towards decoupling frontend enhancement and backend recognition in monaural robust ASR,” Computer Speech & Language, 101821, 2026. [pdf]
Yufeng Yang, Hassan Taherian, Vahid Ahmadi Kalkhorani, and DeLiang Wang, “Elevating robust multi-talker ASR by decoupling speaker separation and speech recognition,” arXiv:2503.17886, 2025. [pdf]
Yufeng Yang, Hassan Taherian, Vahid Ahmadi Kalkhorani, and DeLiang Wang, “Elevating robust ASR by decoupling multi-channel speaker separation and speech recognition,” in Proc. IEEE ICASSP, 2025, 5 pages. [pdf]
Yufeng Yang, Desh Raj, Ju Lin, Niko Moritz, Junteng Jia, Gil Keren, Egor Lakomkin, Yiteng Huang, Jacob Donley, Jay Mahadeokar, and Ozlem Kalinli, “M-BEST-RQ: A multi-channel speech foundation model for smart glasses,” in Proc. IEEE ICASSP, 2025, 5 pages. [pdf]
Yufeng Yang, Ashutosh Pandey, and DeLiang Wang, “Time-domain speech enhancement for robust automatic speech recognition,” in Proc. Interspeech, 2023, pp.4913-4917. [pdf]
Yufeng Yang, Peidong Wang, and DeLiang Wang, “A Conformer based acoustic model for robust automatic speech recognition,” arXiv:2203.00725, 2022. [pdf]
Desmond Caulley, Yufeng Yang, and David Anderson, “EACELEB: an east Asian language speaking celebrity dataset for speaker recognition,” arXiv:2203.05333, 2022. [pdf]
Chuan Zhang^*, Yufeng Yang^*, Shunqing Zhang, Zaichen Zhang, and Xiaohu You, “Residual-based detections and unified architecture for massive MIMO uplink,” Journal of Signal Processing Systems, vol. 91, no. 9, pp. 1039–1052, 2019. [pdf]
Yufeng Yang, Wence Zhang, Jiejun Jin, Zaichen Zhang, Xiao You, and Chuan Zhang, “Efficient compressed Landweber detector for massive MIMO,” in Proc. IEEE SiPS, 2018, pp. 65–70. [pdf]
Yufeng Yang, Ye Xue, Xiaohu You, and Chuan Zhang, “An efficient conjugate residual detector for massive MIMO systems,” in Proc. IEEE SiPS, 2017, pp. 1–6. [pdf]