collaborators

14 papers

cs.LG2026

Replay the Curvature: Accurate and Scalable NVFP4 Quantization for Large Language Model Inference

Ruiyi Ding, Jie Li, Kang He +4

Large language models make weight storage and memory traffic major inference costs, motivating low-precision formats that represent each weight with only a few bits. Such formats u…

cs.CV2026

Beyond Attention Masks: Instruction Anchoring for Efficient In-Context Diffusion Generation

Yangshuai Liu, Zheming Li, Jiaao Li +4

In-context diffusion transformers concatenate instruction, target, and reference tokens into a single sequence for joint attention. Reference-side computation must therefore be rep…

cs.DC2026

TEMPO: Makespan-Aware Expert-Parallel Load Balancing Across Memory- and Compute-Bound Regimes

Jie Li, Chenxin Jia, Jinliang Shen +5

In expert-parallel (EP) MoE serving, every layer synchronizes at the slowest GPU. Dispatchers balance token counts (EPLB, LPLB, UltraEP) or activated-expert counts (METRO), assumin…

cs.AI2026

AlayaWorld: Interactive Long-Horizon World Modeling - Full Technical Report (v1.1)

AlayaWorld Team, Kaipeng Zhang, Chuanhao Li +15

This report presents an improved version of AlayaWorld. While the backbone architecture, chunk-wise autoregressive generation scheme, and training data remain unchanged from the pr…

cs.CV2026

Sekai2: From World Exploration to Interactive World Modeling

Kang He, Wenshuo Peng, Zihui Gao +3

Video world models must capture how scenes evolve over time and across viewpoints. Training them for long-horizon generation and camera control therefore benefits from long videos…

cs.DC2026

X-Stage: Modeling Post-Issue Backpressure in GPU Communication--Computation Fusion

Jianwen Xian, Zhiyuan Xu, Yuchen Li +9

Fine-grained, device-initiated communication allows fused GPU kernels to issue remote stores directly from their compute pipelines, a pattern increasingly used in expert parallelis…

cs.CV2026

HeadCast: Casting Attention Heads for Efficient Autoregressive Video Generation

Jinliang Shen, Lianghao Su, Zheming Li +4

Autoregressive (AR) video diffusion models have become a promising paradigm for long and streaming video synthesis, but the continuously growing Key-Value (KV) cache makes attentio…

cs.AI2026

AlayaWorld: Interactive Long-Horizon World Modeling -- Full Technical Report

AlayaWorld Team, Kaipeng Zhang, Chuanhao Li +15

Unlike conventional video game development, which relies on labor-intensive pipelines for asset production, animation, physics, and programming, video world models generate interac…

cs.CV2026

AlayaWorld: Long-Horizon and Playable Video World Generation

AlayaWorld Team, Kaipeng Zhang, Chuanhao Li +14

Game worlds have traditionally been built through labor-intensive production pipelines, making them costly to develop, difficult to customization, and expensive to modify after dep…

cs.CV2026

ScalingAttention: Discovering Intrinsic Sparse Attention Topology for Video Diffusion Transformers

Ruiliang Zhou, Xuecheng Wu, Kang He +6

While Diffusion Transformers (DiTs) have revolutionized high-fidelity video generation, their reliance on 3D full attention creates a quadratic computational bottleneck. Existing s…

cs.CV2026

Qwen-Image-2.0 Technical Report

Bing Zhao, Chenfei Wu, Deqing Li +72

We present Qwen-Image-2.0, an omni-capable image generation foundation model that unifies high-fidelity generation and precise image editing within a single framework. Despite rece…

cs.CV2026

WorldMark: A Unified Benchmark Suite for Interactive Video World Models

Xiaojie Xu, Zhengyuan Lin, Kang He +5

Unlike text- or image-driven video generation, an interactive world model is driven by actions: the user acts, and the world responds. Two obstacles stand in the way of fair and co…

cs.CV2026

Kling-MotionControl Technical Report

Kling Team, Jialu Chen, Yikang Ding +21

Character animation aims to generate lifelike videos by transferring motion dynamics from a driving video to a reference image. Recent strides in generative models have paved the w…

cs.CV2025

KlingAvatar 2.0 Technical Report

Kling Team, Jialu Chen, Yikang Ding +25

Avatar video generation models have achieved remarkable progress in recent years. However, prior work exhibits limited efficiency in generating long-duration high-resolution videos…