Jiayu Chen

UCA-Flow achieves a remarkable 9.3% increase in action success rates while being up to 45.6 times faster than previous approaches.

EcoFrame achieves a remarkable 13.5x inference speedup while maintaining accuracy, revolutionizing how we approach long-video understanding in VLMs.

EchoCache achieves a remarkable 2.46x speedup in audio-driven video generation without sacrificing quality or coherence.

TRA achieves up to 2.05x faster video generation by intelligently mapping query entropy to token-specific attention budgets, revolutionizing efficiency in VDiTs.

Achieving 99.1% accuracy in object manipulation without the need for depth or additional 3D modules could revolutionize how robots interact with complex environments.

Regularizing the SAIL objective with reverse KL divergence not only resolves convergence issues but also enhances performance in LLM alignment tasks.

EcoVideo achieves up to 2.9x faster video generation in resource-constrained environments by intelligently orchestrating cloud-edge dynamics.

Hierarchical latent actions in HiMem-WAM boost long-horizon manipulation robustness, outperforming existing models in real-world scenarios.

LargeMonitor achieves robust, zero-shot drift detection and dynamic adaptation in online continual learning, outperforming traditional methods that are blind to the structural causes of data shifts.

Forget short-sighted compression: Future Forcing anticipates future query needs in autoregressive video generation, boosting long-horizon consistency by up to 1.49 on VBench-Long without any training.