Experience
Idiap Research Institute, Martigny, Switzerland | Research Assistant, Aug 2021 – Present
Funded by Swiss National Science Foundation (SNSF) project Neural Architectures for Speech Technology (NAST), specializing in speech synthesis
- Deep generative models and their adaptation for text-to-speech synthesis (TTS)
- Bayesian transfer learning for generalizable parameter-efficient fine-tuning (PEFT)
- Variational learning for adaptive parameter budget allocation in PEFT
Advisor: Dr. Philip N. Garner
Amazon, Cambridge, United Kingdom | Applied Scientist Intern, Sep 2024 – Feb 2025
Project: Natural language controlled text-to-speech synthesis
Center for Speech and Language Technologies (CSLT), Tsinghua University, Beijing, China | Research Assistant, Mar 2019 – Aug 2020
Projects
- Deep generative models for speech enhancement
- Continual learning for speech recognition
- CN-Celeb speaker recognition dataset audiovisual automatic collection pipeline
Advisor: Associate Professor Dong Wang
Education
EPFL (École polytechnique fédérale de Lausanne), Lausanne, Switzerland | Aug 2021 – Aug 2025 (expected)
Ph.D. in Electrical Engineering
Section SEL – STI – School of Engineering
Tsinghua University, Beijing, China | Aug 2017 – Jun 2021
B.Eng. in Electrical Engineering and Automation
Department of Electrical Engineering
Skills
Currently:
- Programming: heavily using Python, familiar with C, C++, Java
- Toolkits: heavily using PyTorch and related machine learning toolkits
Previously:
- Programming
- Compiled: C, C++, Java
- Script: Python, MATLAB, HTML, CSS, JavaScript
- Other: SQL, Verilog HDL
- Toolkits
- Machine Learning: PyTorch, Keras, Scikit-learn, Kaldi
- Web: Spring Boot, Spring Cloud, Vue.js
Awards
- Idiap Best Paper Award 2024, Idiap Research Institute | 2024
- Academic Excellence Award, Tsinghua University | 2018 – 2019