Dacheng Yin
10 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Research topics
Keywords
diffusion model
(3)
deep neural network
(2)
vision-language model
(2)
image generation
(2)
speech enhancement
(2)
probabilistic modeling
(1)
adversarial training
(1)
reinforcement learning
(1)
multimodal learning
(1)
voice conversion
(1)
stochastic gradient descent
(1)
style transfer
(1)
vector quantization
(1)
generalization error
(1)
generalization bound
(1)
visual perception
(1)
autoregressive model
(1)
continual learning
(1)
perceptual quality
(1)
representation learning
(1)
Papers
WeMMU: Enhanced Bridging of Vision-Language Models and Diffusion Models via Noisy Query Tokens
CVPR 2026
MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling
CVPR 2025
R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization
ICCV 2025
MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation
CVPR 2024
Learning Trajectories are Generalization Indicators
NeurIPS 2023
TridentSE: Guiding Speech Enhancement with 32 Global Tokens
Interspeech 2023
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
ICLR 2022
RetrieverTTS: Modeling Decomposed Factors for Text-Based Speech Insertion
Interspeech 2022
Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
Interspeech 2021
PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network
AAAI 2020