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, deepfakes, and agentic LLMs. My work is supported by Industry PhD Fellowship, NVIDIA Academic Grant, and IEEE SPS Scholarship.
I have authored 15+ first/co-first papers in NLP/Speech 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). I received an IEEE ASRU 2025 Best Student Paper Nomination, plus ISCSLP 2026 Outstanding Paper and ROCLING 2025 Best Paper awards.
I am actively looking for a 2027 research internship!
@misc{chen2026llmagents,
title={Can LLM Agents Automate Reinforcement Learning for Text-to-Speech?},
author={Chen, Xuanjun and Su, Zixiong and Shi, Hao and Zeng, Chang and Li, Kai and Jang, Jyh-Shing Roger and Lee, Hung-yi},
year={2026},
eprint={2610.04488},
archivePrefix={arXiv},
primaryClass={cs.SD}
}
What Does LALM Post-training Learn? Rethinking Audio Understanding and Reasoning Capabilities
@misc{chen2026lalm,
title={What Does LALM Post-training Learn? Rethinking Audio Understanding and Reasoning Capabilities},
author={Chen, Hua-Hsuan and Chen, Xuanjun and Lu, Wei-Chung and Yang, Chih-Kai and Lin, Yu-Xiang and Huang, Sung-Feng and Wu, Haibin and Lee, Hung-yi},
year={2026},
eprint={2610.19476},
archivePrefix={arXiv},
primaryClass={cs.SD}
}
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
@article{lu2026desta25,
title={DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model With Self-Generated Cross-Modal Alignment},
author={Lu, Ke-Han and Chen, Zhehuai and Fu, Szu-Wei and Yang, Chao-Han Huck and Huang, Sung-Feng and Yang, Chih-Kai and Yu, Chee-En and Chen, Chun-Wei and Chen, Wei-Chih and Huang, Chien-yu and Lin, Yi-Cheng and Lin, Yu-Xiang and Fu, Chi-An and Kuan, Chun-Yi and Ren, Wenze and Chen, Xuanjun and Huang, Wei-Ping and Hu, En-Pei and Lin, Tzu-Quan and Wu, Yuan-Kuei and Huang, Kuan-Po and Huang, Hsiao-Ying and Chou, Huang-Cheng and Chang, Kai-Wei and Chiang, Cheng-Han and Ginsburg, Boris and Wang, Yu-Chiang Frank and Lee, Hung-yi},
journal={IEEE Transactions on Audio, Speech and Language Processing},
volume={34},
pages={2062--2076},
year={2026},
doi={10.1109/TASLPRO.2026.3675792}
}
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
@misc{wu2024towards,
title={Towards audio language modeling - an overview},
author={Wu, Haibin and Chen, Xuanjun and Lin, Yi-Cheng and Chang, Kai-wei and Chung, Ho-Lam and Liu, Alexander and Lee, Hung-yi},
year={2024},
eprint={2402.13236},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Retrieval and Agentic Large Language Models
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
@misc{chen2026metabench,
title={MetaBench-Harness: Unlocking End-to-End Optimization of Benchmark Harnesses},
author={Chen, Xuanjun and Chen, Hua-Hsuan and Lu, Wei-Chung and Ma, Yinghao and Jang, Jyh-Shing Roger and Lee, Hung-yi},
year={2026},
eprint={2609.33411},
archivePrefix={arXiv},
primaryClass={cs.AI}
}
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
@inproceedings{chou2026efficient,
title={Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG},
author={Chou, Wei-Chieh and Chen, Xuanjun and Lin, Jian-Ren and Lin, Claire and Lee, Hung-yi and Jang, Jyh-Shing Roger},
booktitle={Third Conference on Language Modeling (COLM)},
year={2026}
}
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
@article{cyli2026codarag,
title={CodaRAG: Connecting the Dots with Associativity Inspired by Complementary Learning},
author={Li, Cheng-Yen and Chen, Xuanjun and Lin, Claire and Chen, Wei-Yu and Nie, Wenhua and Lee, Hung-yi and Jang, Jyh-Shing Roger},
journal={ACM Transactions on Intelligent Systems and Technology},
year={2026},
doi={10.1145/3859251}
}
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
@article{chen2026codecfake,
title={CodecFake+: Codec-Based Resynthesized Data as a Proxy for Detecting CodecFake Speech},
author={Chen, Xuanjun and Du, Jiawei and Wu, Haibin and Zhang, Lin and Lin, I-Ming and Chiu, I-Hsiang and Ren, Wenze and Tseng, Yuan and Tsao, Yu and Jang, Jyh-Shing Roger and Lee, Hung-yi},
journal={IEEE Transactions on Audio, Speech and Language Processing},
volume={34},
pages={2929--2944},
year={2026},
doi={10.1109/TASLPRO.2026.3692291}
}
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%)
@inproceedings{chen2025towards,
title={Towards Generalized Source Tracing for Codec-Based Deepfake Speech},
author={Chen, Xuanjun and Lin, I-Ming and Zhang, Lin and Wu, Haibin and Lee, Hung-yi and Jang, Jyh-Shing Roger},
booktitle={2025 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},
year={2025}
}
Experience
Oct 2026 – Present10/2026 – Present: Lead Student Researcher, NVIDIA Academic Grant Program, Taipei, Taiwan
Apr 2026 – Jul 202604/2026 – 07/2026: Research Intern, Shanda Group, Tokyo, Japan
Sep 2023 – Present09/2023 – Present: Ph.D. in Communication EngineeringCommunication Eng., National Taiwan University· GPA 4.3/4.3
Jan 202301/2023: M.S. in Computer ScienceComputer Science, National Taiwan University· GPA 4.19/4.3
Jun 202006/2020: B.S. in Computer ScienceComputer Science, Taiwan Tech· GPA 4.11/4.3