Ling Xing — accepted AI-conference papers

2026

Entropy-Aware Dynamic KV Cache Sparsification for Autoregressive Image Generation and Editing

Tong Tong, LING XING, Linjie Li, Rui Yan, Zhengyuan Yang, Lijuan Wang +1

ICML 2026poster

Autoregressive (AR) image generation has recently gained momentum as a scalable alternative to diffusion models, benefiting from unified next-token prediction paradigm and strong instruction following ability. However, AR visual generation must decode excessively long sequences of visual tokens, mak…

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2025

Vision-centric Token Compression in Large Language Model

Ling Xing, Alex Jinpeng Wang, Rui Yan, Xiangbo Shu, Jinhui Tang

NeurIPS 2025spotlight

Real-world applications are stretching context windows to hundreds of thousand of tokens while Large Language Models (LLMs) swell from billions to trillions of parameters. This dual expansion send compute and memory costs skyrocketing, making $\textit{token compression}$ indispensable. We introduce…

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