Zhennan Jiang — accepted AI-conference papers

2026

MARS-Sep: Multimodal-Aligned Reinforced Sound Separation

Zihan Zhang, Xize Cheng, Zhennan Jiang, Dongjie Fu, Jingyuan Chen, Zhou Zhao +1

ICLR 2026poster

Universal sound separation faces a fundamental misalignment: models optimized for low-level signal metrics often produce semantically contaminated outputs, failing to suppress perceptually salient interference from acoustically similar sources. We introduce a preference alignment perspective, analog…

Cited by 0 Source ↗code ↗Scholar ↗

2024

Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization

Haoran Li, Zhennan Jiang, YUHUI CHEN, Dongbin Zhao

NeurIPS 2024poster

With high-dimensional state spaces, visual reinforcement learning (RL) faces significant challenges in exploitation and exploration, resulting in low sample efficiency and training stability. As a time-efficient diffusion model, although consistency models have been validated in online state-based R…

Cited by 4 Source ↗PDF ↗Scholar ↗