1 citations · 1 across the 6 of their papers we have counts for
6 papers
SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations
Wentao Guo, Mayank Mishra, Xinle Cheng +2
Mixture of Experts (MoE) models have emerged as the de facto architecture for scaling up language models without significantly increasing the computational cost. Recent MoE models…
Playing with Transformer at 30+ FPS via Next-Frame Diffusion
Xinle Cheng, Tianyu He, Jiayi Xu +3
Autoregressive video models offer distinct advantages over bidirectional diffusion models in creating interactive video content and supporting streaming applications with arbitrary…
CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models
Xinle Cheng, Zhuoming Chen, Zhihao Jia
Diffusion models have revolutionized generative tasks, especially in the domain of text-to-image synthesis; however, their iterative denoising process demands substantial computati…
VidTok: A Versatile and Open-Source Video Tokenizer
Anni Tang, Tianyu He, Junliang Guo +3
Encoding video content into compact latent tokens has become a fundamental step in video generation and understanding, driven by the need to address the inherent redundancy in pixe…
Zero-Shot Image Feature Consensus with Deep Functional Maps
Xinle Cheng, Congyue Deng, Adam Harley +2
Correspondences emerge from large-scale vision models trained for generative and discriminative tasks. This has been revealed and benchmarked by computing correspondence maps betwe…
Equivariant Neural Network Force Fields for Magnetic Materials
Zilong Yuan, Zhiming Xu, He Li +6
Neural network force fields have significantly advanced ab initio atomistic simulations across diverse fields. However, their application in the realm of magnetic materials is stil…