Yuzhe Liang

According to our database1, Yuzhe Liang authored at least 17 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
UniSonate: A Unified Model for Speech, Music, and Sound Effect Generation with Text Instructions.
CoRR, April, 2026

V2A-DPO: Omni-Preference Optimization for Video-to-Audio Generation.
CoRR, March, 2026

Habibi: Laying the Open-Source Foundation of Unified-Dialectal Arabic Speech Synthesis.
CoRR, January, 2026

2025
DMP-TTS: Disentangled multi-modal Prompting for Controllable Text-to-Speech with Chained Guidance.
CoRR, December, 2025

M3-TTS: Multi-modal DiT Alignment & Mel-latent for Zero-shot High-fidelity Speech Synthesis.
CoRR, December, 2025

InstructAudio: Unified speech and music generation with natural language instruction.
CoRR, November, 2025

SAC: Neural Speech Codec with Semantic-Acoustic Dual-Stream Quantization.
CoRR, October, 2025

MeanAudio: Fast and Faithful Text-to-Audio Generation with Mean Flows.
CoRR, August, 2025

Kling-Foley: Multimodal Diffusion Transformer for High-Quality Video-to-Audio Generation.
CoRR, June, 2025

MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix.
CoRR, May, 2025

DRCap: Decoding CLAP Latents with Retrieval-Augmented Generation for Zero-shot Audio Captioning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SLAM-AAC: Enhancing Audio Captioning with Paraphrasing Augmentation and CLAP-Refine through LLMs.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SLAM-Omni: Timbre-Controllable Voice Interaction System with Single-Stage Training.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Application of multi-scale dynamic enhancement based on deep neural network and CT urinary tract secretory phase image fusion in the diagnosis of urinary system diseases.
BMC Bioinform., December, 2024

EAT: Self-Supervised Pre-Training with Efficient Audio Transformer.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Improving Acoustic Scene Classification via Self-Supervised and Semi-Supervised Learning with Efficient Audio Transformer.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Semi-Supervised Acoustic Scene Classification with Test-Time Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024


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