activity
20242026
most citedVideo-to-Audio Generation with Hidden Alignment

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SD2026

End-to-End Training for Discrete Token LLM based TTS System

Changfeng Gao, Yong Ren, Jun Yuan +3

Recent state-of-the-art (SOTA) text-to-speech (TTS) systems typically adopt a cascaded pipeline consisting of a speech tokenizer, an autoregressive large language model (LLM), and…

cs.CL2025

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA

Duzhen Zhang, Yong Ren, Zhong-Zhi Li +5

Multimodal Continual Instruction Tuning (MCIT) aims to finetune Multimodal Large Language Models (MLLMs) to continually align with human intent across sequential tasks. Existing ap…

cs.MM2025

Mitigating Audiovisual Mismatch in Visual-Guide Audio Captioning

Le Xu, Chenxing Li, Yong Ren +5

Current vision-guided audio captioning systems frequently fail to address audiovisual misalignment in real-world scenarios, such as dubbed content or off-screen sounds. To bridge t…

cs.MM2025

Hearing from Silence: Reasoning Audio Descriptions from Silent Videos via Vision-Language Model

Yong Ren, Chenxing Li, Le Xu +7

Humans can intuitively infer sounds from silent videos, but whether multimodal large language models can perform modal-mismatch reasoning without accessing target modalities remain…

cs.CL2025

Information-Theoretic Complementary Prompts for Improved Continual Text Classification

Duzhen Zhang, Yong Ren, Chenxing Li +2

Continual Text Classification (CTC) aims to continuously classify new text data over time while minimizing catastrophic forgetting of previously acquired knowledge. However, existi…

cs.CL2024

Towards Diverse and Efficient Audio Captioning via Diffusion Models

Manjie Xu, Chenxing Li, Xinyi Tu +4

We introduce Diffusion-based Audio Captioning (DAC), a non-autoregressive diffusion model tailored for diverse and efficient audio captioning. Although existing captioning models r…

cs.SD2024

STA-V2A: Video-to-Audio Generation with Semantic and Temporal Alignment

Yong Ren, Chenxing Li, Manjie Xu +4

Visual and auditory perception are two crucial ways humans experience the world. Text-to-video generation has made remarkable progress over the past year, but the absence of harmon…

cs.SD2024★ 1 cited

Video-to-Audio Generation with Hidden Alignment

Manjie Xu, Chenxing Li, Xinyi Tu +5

Generating semantically and temporally aligned audio content in accordance with video input has become a focal point for researchers, particularly following the remarkable breakthr…