Publications

* indicates equal contribution.

Speech Large Language Models for Understanding

Survey & Benchmark

• ISA-Bench: Benchmarking Instruction Sensitivity for Large Audio Language Models
  B. Li, W. Huang, Y. Qiu, Y. Guo, H. Wang, Z. Li, Jing Peng, Z. Ma, X. Chen, K. Yu
  ICASSP 2026 (accepted), 2026
  arXiv
• A Unified and Reproducible Experimentation Framework for Speech Understanding
  Jing Peng*, J. Du*, C. Wang*, H. Li*, Y. Yang*, Y. Wang, X. Gu, G. Chen, Y. Wang, J. Li, Z. Zhao, H. Wang, W. Tu, H. Li, D. Ma, L. Qian, Y. Xi, W. Wen, J. Guo, H. Zhang, S. Fan, W. Jiang, S. Wang, K. Yu
  Interspeech 2026 (accepted), 2026
  arXiv
• A Survey on Speech Large Language Models for Understanding
  Jing Peng*, Y. Wang*, Y. Fang, Y. Xi, X. Li, X. Zhang, K. Yu
  IEEE JSTSP (accepted), 2024
  arXiv

Speech-Text Alignment

• TASU: Text-Only Alignment for Speech Understanding
  Jing Peng, Y. Yang, X. Li, Y. Xi, Q. Tang, Y. Fang, J. Li, K. Yu
  ICASSP 2026 (accepted), 2026
  arXiv
• TASU2: Controllable CTC Simulation for Alignment and Low-Resource Adaptation of Speech LLMs
  Jing Peng*, C. Wang*, Y. Yang, L. Qian, J. Li, Y. Xi, S. Wang, K. Yu
  Interspeech 2026 (accepted), 2026
  arXiv
• Low-Resource Domain Adaptation for Speech LLMs via Text-Only Fine-Tuning
  Y. Fang*, Jing Peng*, X. Li, Y. Xi, C. Zhang, G. Zhong, K. Yu
  ASRU 2025 (accepted), 2025
  arXiv

Agentic Systems

• XFlow: An Executable Protocol Programming System for Reliable Multi-Agent Workflows
  H. Li*, Jing Peng*, Z. Wang, L. Chen, K. Yu
  arXiv preprint, 2026
  arXiv
• VISA: A Visual Information Strengthened Audio-Reasoning System for the Interspeech 2026 ARC Agent Track
  W. Tu, J. Gao, Y. Huo, Y. Wang, Jing Peng, B. Li, Z. Ma, T. Liu, S. Fan, K. Yu, X. Chen, Z. Zheng
  Interspeech 2026 (accepted), 2026
  arXiv
• Audio-Mind: An Auditable Agentic Framework for Audio Understanding
  Y. Wang*, Jing Peng*, H. Li, C. Wang, W. Tu, Y. Xi, Z. Sun, K. Yu, S. Wang
  submitted to EMNLP 2026, 2026
  arXiv

Multilingual and Multispeaker

• MOSA: Mixtures of Simple Adapters Outperform Monolithic Approaches in LLM-based Multilingual ASR
  Junjie Li, Jing Peng, Yangui Fang, Shuai Wang, Kai Yu
  ICASSP 2026 (accepted), 2026
  arXiv
• G-STAR: End-to-End Global Speaker-Tracking Attributed Recognition
  Jing Peng*, Z. Chen*, H. Li*, Y. Wang, D. Ma, M. Li, Y. Du, D. Xu, K. Yu, S. Wang
  submitted to EMNLP 2026, 2026
  arXiv

Automatic Speech Recognition (Traditional)

• RAS: a Reliability Oriented Metric for Automatic Speech Recognition
  W. Huang, Y. Qiu, B. Li, Y. Guo, Jing Peng, H. Wang, X. Chen, K. Yu
  Interspeech 2026 (accepted), 2026
  arXiv
• TC-BiMamba: Trans-Chunk bidirectionally within BiMamba for unified streaming and non-streaming ASR
  Jing Peng*, Q. She*, Y. Fang, Y. Xi, K. Yu
  submitted to EMNLP 2026, 2026
  arXiv
• Joint Decoding Method for Controllable Contextual Speech Recognition Based on Speech LLM
  Y. Fang*, J. Peng*, Y. Xi, X. Li, H. Li, C. Zhang, G. Zhong, K. Yu
  arXiv preprint, 2025
  arXiv
• Fewer Hallucinations, More Verification: A Three-Stage LLM-Based Framework for ASR Error Correction
  Y. Fang, B. Cheng, Jing Peng, X. Li, Y. Xi, C. Zhang, G. Zhong
  ASRU 2025 (accepted), 2025
  arXiv