Jeng-Yue (Buffett) Liu

About Experience Projects Publications Resume/CV DJ_Resume

My Experience

Knowledge gives us the tools to dream, and experience gives us the courage to achieve those dreams.

Work Experience

	Quid Inc.	Title: Machine Learning Engineering Intern Mentor: Larrick Chen Team: Discover Analysis Dates: Dec. 2024 - Jun. 2025
	Academia Sinica	Title: Research Assistant Mentor: Prof. Li Su Project: Query-Based Source Separation Dates: Jun. 2024 - Aug. 2025
	CIeNET Technology	Title: Engineering Intern Mentor: Jimmy Hsieh Dates: Dec. 2023 - Jun. 2024
	National Science and Technology Council (NSTC)	Title: Undergraduate Researcher Mentor: Prof. Tzai-Hung Wen Project: Human Mobility Prediction Dates: Sep. 2023 – Apr. 2024

Research Experience

Music and Audio Computing Lab, Academia Sinica	Advisor: Yi-Hsuan Yang (楊奕軒), Li Su (蘇黎) Dates: Jan. 2024 - Aug. 2025 Projects: Proposed a novel end-to-end factorized codec learning framework for timbre/style transfer models with information perturbation and supervision, achieving enhanced timbre-content-ADSR disentanglement for controllable synthesizer preset conversion and surpassing state-of-the-art synthesizer timbre transfer baselines with a multi-resolution STFT loss from 5.69 to 2.22. [GitHub] Developed an audio-query music source separation system using band-split Mamba2 with hypernetwork conditioning, enhancing timbre conditioning and boosting instrument-specific SNR by 7%.
Productivity Optimization Lab, NTU	Advisor: Chia-Yen Lee (李家岩), Tzu-Fen Chang Dates: Dec. 2023 - Dec. 2024 Projects: Collaborated with a team of 6 to develop a GraphRAG-based news content analysis tool, leveraging LLMs for insight extraction from large datasets and reducing manual effort in social science research. [GitHub] Applied NLP techniques such as LDA and NMF to analyze attitude shifts surrounding the 2021 Atlanta spa shootings.
Geospatial Computing Lab, NTU	Advisor: Tzai-Hung Wen (溫在弘) Dates: Jan. 2022 - Jun. 2024 Projects: [B.S. Thesis] Trip-purpose-based methods for predicting human mobility’s next location Developed multimodal spatio-temporal models with a trip-purpose approach, achieving 80% accuracy, and designed a data pipeline to integrate mobility data, Google Maps polygons, and remote sensing datasets for spatial analysis. Reached IMV contest semifinals by building a digital transaction platform with TypeScript (React), Node.js, and MongoDB, and developing a Selenium web crawler for real-time vegetable prices to optimize fertilizer use. [GitHub] Simulated 3D crowd and vehicle flows in NetLogo and Python for safer Taipei Dome evacuations, informing exit planning.

Teaching Assistant Experience

Machine Learning, NTU

Mentor: Hsuan-Tien Lin (林軒田)

Dept: Computer Science & Information Engineering, NTU

Dates: Jan. 2023 – Jan. 2024 (2 semesters)

Content:

Designed assignments & projects, and led TA sessions in English to support students with problem-solving and queries.
Conceived and led the final project, originating from my idea. Utilized Generative Adversarial Networks(GANs) to generate a noisier dataset based on the original, increasing task difficulty in a student final project, then applied machine learning models to establish baselines.

Computer Programming, NTU

Mentor: Tzai-Hung Wen (溫在弘)

Dept: Geography, NTU

Dates: Feb. 2022 – Jun. 2022

Content:

Led coding exercises, explained programming logic, and graded assignments & exams.

Open Review

NeurIPS AI Music 2025	Conference: NeurIPS Workshop on AI for Music Dates: 2025 Description: Reviewing submissions for the NeurIPS Workshop on AI for Music 2025.
ICASSP 2026	Conference: IEEE International Conference on Acoustics, Speech and Signal Processing Dates: 2026 Description: Reviewing submissions for ICASSP 2026.

Skills

C/C++

Python

Javascript

Typescript

C#

Golang

HTML

CSS

PyTorch

Tensorflow

Tensorflow

HuggingFace

OpenCV

OpenCV

Flask

Flask

React

Next.js

NodeJS

MongoDB

MongoDB

MySQL

MySQL

PostgreSQL

PostgreSQL

GoogleAPI

GoogleAPI

Docker

Git

NetLogo

NetLogo

Research Interest

Machine Learning
Representation Learning
Sound Separation
Text-to-Music Generation
Unsupervised Learning
Natural Language Processing