collaborators

6 papers

cs.CV2026

DynaPPI: A Large-scale Dynamic Protein Dataset for AI-driven Advances in Protein Interactomics

Jiabao Wei, Zilong Geng, Yuze Wang +5

Diffusion models have been widely explored in protein backbone generation due to their powerful generation capabilities.However, in today's AI-driven biological research, predictin…

cs.LG2026

TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion Alignment

Jiaming Li, Chenyu Zhu, Nanxi Yi +9

Reinforcement learning (RL) has shown extraordinary potential in aligning diffusion models to downstream tasks, yet most of them still suffer from significant reward hacking, which…

cs.MM2026

Dual-Stream Decoupled Learning for Temporal Consistency and Speaker Interaction in AVSD

Junhao Xiao, Shun Feng, Zhiyu Wu +6

Audio-Visual Speaker Detection (AVSD) hinges on modeling both individual temporal continuity and inter-personal social context. Existing coupled architectures struggle to reconcile…

cs.CV2025

MILD: Multi-Layer Diffusion Strategy for Complex and Precise Multi-IP Aware Human Erasing

Jinghan Yu, Junhao Xiao, Zhiyuan Ma +6

Recent years have witnessed the success of diffusion models in image customization tasks. However, existing mask-guided human erasing methods still struggle in complex scenarios su…

cs.CV2025

Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field Sampling

Zhiyuan Ma, Ruixun Liu, Sixian Liu +2

Recently, the rectified flow (RF) has emerged as the new state-of-the-art among flow-based diffusion models due to its high efficiency advantage in straight path sampling, especial…

cs.CV2025

Context-Aware Autoregressive Models for Multi-Conditional Image Generation

Yixiao Chen, Zhiyuan Ma, Guoli Jia +3

Autoregressive transformers have recently shown impressive image generation quality and efficiency on par with state-of-the-art diffusion models. Unlike diffusion architectures, au…