Xuanjun Chen

Xuanjun Chen (陳炫均)

Ph.D. Candidate, NTU EECS · Taipei, Taiwan

I am a Ph.D. candidate at National Taiwan University, advised by Profs. Hung-yi Lee and Jyh-Shing Roger Jang. My research focuses on Speech & Audio Processing and Large Language Models, specifically audio under­standing, audio generation, agentic LLMs, and deepfakes. I have authored 15+ first/co-first papers in Speech/NLP venues (e.g., COLM, TIST, TASLP, ICASSP, INTERSPEECH, ASRU, SLT), and am a core con­trib­utor to DeSTA2.5-Audio (TASLP) and SUPERB bench­marks (ICLR, ACL Findings). My work is supported by an Undisclosed Industry PhD Fellowship,  NVIDIA Academic Grant, and IEEE SPS IEEE SPS Scholarship, alongside an ASRU 2025 Best Student Paper Nomination and Best/Outstanding Paper awards at ROCLING 2025 and ISCSLP 2026. I am actively looking for a 2027 research internship!

Feel free to reach out at d12942018 [at] ntu.edu.tw, or find him on LinkedIn, GitHub, and 𝕏.

Research Highlights

See all on Google Scholar or browse by topic.

Speech & Audio Language Models and GenerationSpeech & Audio LMs and Generation

Can LLM Agents Automate Reinforcement Learning for Text-to-Speech?

Xuanjun Chen, Zixiong Su, Hao Shi, Chang Zeng, Kai Li, Jyh-Shing Roger Jang, Hung-yi Lee

Technical Report, Oct. 2026

What Does LALM Post-training Learn? Rethinking Audio Understanding and Reasoning Capabilities

Hua-Hsuan Chen*, Xuanjun Chen*, Wei-Chung Lu, Chih-Kai Yang, Yu-Xiang Lin, Sung-Feng Huang, Haibin Wu, Hung-yi Lee

Technical Report, Oct. 2026

DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment

Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, ..., Xuanjun Chen, ..., Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee

IEEE TASLP 2026JCR Q1, IF 5.173 Citations as of Oct. 2026

Towards audio language modeling – an overview

Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-wei Chang, Ho-Lam Chung, Alexander Liu, Hung-yi Lee

Technical Report, Feb. 202488 Citations as of Oct. 2026

Retrieval and Agentic Large Language ModelsRetrieval & Agentic LLMs

MetaBench-Harness: Unlocking End-to-End Optimization of Benchmark Harnesses

Xuanjun Chen, Hua-Hsuan Chen, Wei-Chung Lu, Yinghao Ma, Jyh-Shing Roger Jang, Hung-yi Lee

Technical Report, Oct. 2026

Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG

Wei-Chieh Chou*, Xuanjun Chen*, Jian-Ren Lin, Claire Lin, Hung-yi Lee, Jyh-Shing Roger Jang

COLM 2026Accept Rate 29.1%

CodaRAG: Connecting the Dots with Associativity Inspired by Complementary Learning

Cheng-Yen Li*, Xuanjun Chen*, Claire Lin, Wei-Yu Chen, Wenhua Nie, Hung-yi Lee, Jyh-Shing Roger Jang

ACM TIST 2026JCR Q1, IF 10.7

Audio Deepfake Detection

CodecFake+: Codec-Based Resynthesized Data as a Proxy for Detecting CodecFake Speech

Xuanjun Chen*, Jiawei Du*, Haibin Wu, Lin Zhang, I-Ming Lin, ..., Jyh-Shing Roger Jang, Hung-yi Lee

IEEE TASLP 2026JCR Q1, IF 5.1

Towards Generalized Source Tracing for Codec-Based Deepfake Speech

Xuanjun Chen*, I-Ming Lin*, Lin Zhang, Haibin Wu, Hung-yi Lee, Jyh-Shing Roger Jang

IEEE ASRU 2025Best Student Paper Nomination (Top 2.5%)

Singing Voice Graph Modeling for SingFake Detection

Xuanjun Chen, Haibin Wu, Jyh-Shing Roger Jang, Hung-yi Lee

INTERSPEECH 2024 (Oral)Lightning Talk @ SLT '2435 Citations as of Oct. 2026

Experience

  • : Student Researcher, NVIDIA Academic Grant Program, Taipei, Taiwan
  • : Research Intern, Shanda Group, Tokyo, Japan
  • : Ph.D. in Communication EngineeringCommunication Eng., National Taiwan University ·  GPA 4.3/4.3
  • : M.S. in Computer ScienceComputer Science, National Taiwan University ·  GPA 4.19/4.3
  • : B.S. in Computer ScienceComputer Science, Taiwan Tech ·  GPA 4.11/4.3

Open Source Contributions

Lead & Mentored Projects

  • : CodecFake+ (IEEE TASLP) Largest deepfake dataset from neural audio codec-based TTS (31 codecs); 4.3K+ downloads ·  HF
  • : DFADD (IEEE SLT) Mentored students on the first deepfake dataset from diffusion/flow-matching TTS; 9.1K+ downloads ·  HF
  • : SingGraph (INTERSPEECH) Achieved SOTA results on SingFake detection, fusing MERT and wav2vec 2.0; 24 GitHub stars ·  GitHub
  • : MTDVocaLiST (ICASSP) Compact audio-visual lip-sync model distilled from VocaLiST; 29 GitHub stars ·  GitHub

Collaborative & Community Work

  • : DeSTA2.5-Audio (IEEE TASLP, Core Contributor) 142 GitHub stars, HF model (28.7K+) and data (11.0K+ downloads) ·  GitHub
    • Curated training data for audio deepfake understanding as part of an audio LLM project in collaboration with NVIDIA
  • : Dynamic-SUPERB Phase-2 (ICLR, Task Editor) 201 GitHub stars, 325 HF datasets (289K+ downloads) ·  GitHub
    • Reviewed and standardized community-submitted tasks for the 180-task audio understanding benchmark
  • : Codec-SUPERB (ACL Findings & IEEE SLT, Core Contributor) 310 GitHub stars and a public leaderboard ·  Website
    • Built task- and signal-level metrics to benchmark several codecs on the neural audio codec leaderboard

Selected Honors and Service

See all on the Misc page.

Research and Academic Honors

  • : Industry PhD Fellowship Awarded via competitive global selection by an Industry sponsor
  • : NVIDIA Academic Grant Awarded dedicated GPU compute via competitive selection by NVIDIA
  • : IEEE SPS Scholarship One of dozens of recipients worldwide from the IEEE Signal Processing Society
  • : Outstanding Paper (ISCSLP 2026) Selected 8 out of 110 accepted papers (Top 7%)
  • : Best Paper Award (ROCLING 2025) Selected 1 out of 36 accepted papers (Top 2.8%)
  • : Best Student Paper Nomination (ASRU 2025) Selected 11 out of 447 submitted papers (Top 2.5%)
  • : CTCI Foundation Science and Technology Scholarship Research Scholarship for Overseas Students
  • : Google Student Travel Grant Sponsored by Google Asia Pacific to present at ICASSP 2024
  • : 3rd Place Worldwide, ASVspoof 2021 Challenge On the LA track of ASVspoof 2021 challenge (out of 42 teams)
  • : Dean’s List (3 terms) Certificate of Achievement for the top 5% of CSIE students, Taiwan Tech

Service and Outreach