
01 /研究RESEARCH
研究与探索Research & Exploration
「牛津大学的聪明人… 知道所有需要知道的事。但他们都没有蟾蜍先生一半聪明!」
“The clever men at Oxford... Know all that there is to be knowed. But they none of them know one half as much... As intelligent Mr. Toad!”
已发表的研究工作与项目。
Published researches and released projects.
研究方向RESEARCH FIELDS
研究方向Research fields.
01 / 图像生成Image Generation构建与评估能够生成和编辑图像的模型。Building and evaluating models that can create and edit images.


NeurIPS 2026 ED Track · CCF-A · Poster · Conference
MDMR-Bench: A Multi-Dimensional Benchmark for Multi-Reference Image Generation
02 / 持续学习Continual Learning帮助模型在保留已有知识的同时学习新知识。Helping models learn new knowledge while retaining what came before.

CVPR 2025 · CCF-A · Poster · Conference
Task-Agnostic Guided Feature Expansion for Class-Incremental Learning

ICML 2024 · CCF-A · Poster · Conference
Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning
