collaborators

5 papers

cs.CV2026

Stream4D: 4D-Consistency for Streaming Autoregressive Diffusion Video Models

Yuanhao Ban, Jiaqi Feng, Hengguang Zhou +3

Streaming autoregressive diffusion models enable real-time, long-horizon video generation, but their training objectives optimize local frame prediction rather than the geometry an…

cs.CV2026

One-Forcing: Towards Stable One-Step Autoregressive Video Generation

Jiaqi Feng, Justin Cui, Yuanhao Ban +1

Recent advances have substantially improved real-time interactive video generation in the autoregressive regime. However, most existing few-step autoregressive video generation met…

cs.LG2026

Enhancing the Code Reasoning Capabilities of LLMs via Consistency-based Reinforcement Learning

Zhanyue Qin, Jia Feng, Yibo Lyu +4

Code reasoning refers to the task of predicting the output of a program given its source code and specific inputs. It can measure the reasoning capability of large language models…

cs.CV2026

Astra: General Interactive World Model with Autoregressive Denoising

Yixuan Zhu, Jiaqi Feng, Wenzhao Zheng +5

Recent advances in diffusion transformers have empowered video generation models to generate high-quality video clips from texts or images. However, world models with the ability t…

cs.CV2025

Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity

Tianqi Shen, Shaohua Liu, Jiaqi Feng +2

Gaussian Splatting (GS) has emerged as a crucial technique for representing discrete volumetric radiance fields. It leverages unique parametrization to mitigate computational deman…