Search Results for author: Jinjin Xu

Found 6 papers, 4 papers with code

u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model

1 code implementation9 Nov 2023 Jinjin Xu, Liwu Xu, Yuzhe Yang, Xiang Li, Fanyi Wang, Yanchun Xie, Yi-Jie Huang, Yaqian Li

Recent advancements in multi-modal large language models (MLLMs) have led to substantial improvements in visual understanding, primarily driven by sophisticated modality alignment strategies.

Instruction Following Language Modelling +1

CLIP Brings Better Features to Visual Aesthetics Learners

no code implementations28 Jul 2023 Liwu Xu, Jinjin Xu, Yuzhe Yang, YiJie Huang, Yanchun Xie, Yaqian Li

Specifically, we first integrate and leverage a multi-source unlabeled dataset to align rich features between a given visual encoder and an off-the-shelf CLIP image encoder via feature alignment loss.

A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization

1 code implementation22 Jun 2021 Jinjin Xu, Yaochu Jin, Wenli Du

Data-driven optimization has found many successful applications in the real world and received increased attention in the field of evolutionary optimization.

Evolutionary Algorithms Federated Learning

Federated Learning on Non-IID Data: A Survey

no code implementations12 Jun 2021 Hangyu Zhu, Jinjin Xu, Shiqing Liu, Yaochu Jin

Federated learning is an emerging distributed machine learning framework for privacy preservation.

BIG-bench Machine Learning Vertical Federated Learning

A Federated Data-Driven Evolutionary Algorithm

1 code implementation16 Feb 2021 Jinjin Xu, Yaochu Jin, Wenli Du, Sai Gu

Data-driven evolutionary optimization has witnessed great success in solving complex real-world optimization problems.

Federated Learning Management

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