collaborators

7 papers

cs.LG2026

SE(3)-MeanFlow: Few-Step Protein Backbone Generation on Lie Groups

Yikun Bai, Binghang Lu, Yikai Liu +7

Generative modeling of protein backbones promises the de novo design of proteins with prescribed structural and functional properties. Existing diffusion and flow-matching models p…

cs.DC2026

FlashDiff: Efficient Regional Execution and Scheduling for Diffusion Model Serving

Yaqi Qiao, Ping He, Songrun Xie +4

Diffusion models have become the central backbone for modern image, video, and audio generation, but their efficient service remains a challenge. Unlike autoregressive decoding, di…

cs.CV2026

Visko Orbis 1.0: A Live Model for Real-Time Interactive Long Video Generation

Xiangbo Gao, Siyuan Yang, Ping He +12

We present Visko Orbis 1.0, a Live Model for real-time, interactive long video generation. Users can change the prompt at any moment during generation, and the update becomes visib…

cs.LG2026

Min Generalized Sliced Gromov Wasserstein: A Scalable Path to Gromov Wasserstein

Ashkan Shahbazi, Xinran Liu, Ping He +1

We propose min Generalized Sliced Gromov--Wasserstein (min-GSGW), a sliced formulation for the Gromov--Wasserstein (GW) problem using expressive generalized slicers. The key idea i…

cs.CV2026

From Imitation to Intuition: Intrinsic Reasoning for Open-Instance Video Classification

Ke Zhang, Xiangchen Zhao, Yunjie Tian +3

Conventional video classification models, acting as effective imitators, excel in scenarios with homogeneous data distributions. However, real-world applications often present an o…

cs.LG2025

LUNA: Linear Universal Neural Attention with Generalization Guarantees

Ashkan Shahbazi, Ping He, Ali Abbasi +6

Scaling attention faces a critical bottleneck: the quadratic computational cost of softmax attention, which limits its application in long-sequence domains. Whil…

cs.LG2025

OT-MeanFlow3D: Bridging Optimal Transport and Meanflow for Efficient 3D Point Cloud Generation

Elaheh Akbari, Shansita Sharma, Ping He +5

Flow-matching models have recently emerged as a powerful framework for generative modeling, including 3D point cloud synthesis. However, their deployment is limited by the need for…