Sen Ye — accepted AI-conference papers

2026

Distribution Matching Variational AutoEncoder

Sen Ye, Jianning Pei, Mengde Xu, Shuyang Gu, Chunyu Wang, Liwei Wang +1

ICML 2026poster

Most visual generative models compress images into a latent space before applying diffusion or autoregressive modelling. Yet, existing approaches such as VAEs and foundation model aligned encoders implicitly constrain the latent space without explicitly shaping its distribution, making it unclear wh…

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2026

Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models

Sen Ye, Mengde Xu, Di He, Winston Hu, Liwei Wang, Shuyang Gu

ICLR 2026poster

Current research in multimodal models faces a key challenge where enhancing generative capabilities often comes at the expense of understanding, and vice versa. We analyzed this trade-off and identify the primary cause might be the potential conflict between generation and understanding, which creat…

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