😁 Welcome to My Homepage!
Zixuan Li (李子轩) is currently a second-year master’s student with the IMUSpeech group at Inner Mongolia University (IMU), Hohhot, China, supervised by Prof. Xueliang Zhang (张学良). He received the B.Mgt. degree in Information Management and Information Systems from IMU in 2024 and began pursuing his master’s degree in the same year. During his undergraduate studies, he was engaged in research on knowledge graphs, working with Dr. Zhijuan Du (杜治娟).
His research focuses on target speaker extraction, speech enhancement, and deep learning for speech and audio. His work has been published in flagship conferences such as ICASSP and INTERSPEECH.
🔥 News
- 2025.05: 🎉🎉 One paper is accepted by Interspeech 2025.
- 2024.12: 🎉🎉 One paper is accepted by ICASSP 2025.
📝 Publications
Zixuan Li, Shulin He, Jinglin Bai, Xueliang Zhang
- We extend SkiM to the time-frequency domain, enabling resource-efficient global temporal modeling within inplace networks at a low computational cost.
- TF-SkiMNet achieves performance comparable to the SOTA TF-CrossNet for single-channel speech enhancement with 87% fewer MACs and demonstrates SOTA performance on both single-channel and multi-channel tasks under similar computational budgets.
Robust Target Speaker Direction of Arrival Estimation
Zixuan Li, Shulin He, Xueliang Zhang
- We propose RTS-DOA, a robust real-time DOA estimation system. This system innovatively uses the registered speech of the target speaker as a reference and leverages full-band and sub-band spectral information from a microphone array to estimate the DOA of the target speaker’s voice. Experimental shows that our RTS-DOA system effectively tackles multi-speaker scenarios and established new optimal benchmarks, achieving an Accuracy Rate that is 0.31 higher than the baseline.
🎖 Honors and Awards
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📖 Educations
- 2019.06 - 2022.04 (now), Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet.
- 2015.09 - 2019.06, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet.
💬 Invited Talks
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- 2021.03, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. | [video]
💻 Internships
- 2019.05 - 2020.02, Lorem, China.