Search Results for author: Xi Lu

Found 5 papers, 2 papers with code

TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation

1 code implementation29 Apr 2024 Junhao Cheng, Baiqiao Yin, Kaixin Cai, Minbin Huang, Hanhui Li, Yuxin He, Xi Lu, Yue Li, Yifei Li, Yuhao Cheng, Yiqiang Yan, Xiaodan Liang

To address this issue, we introduce TheaterGen, a training-free framework that integrates large language models (LLMs) and text-to-image (T2I) models to provide the capability of multi-turn image generation.

Denoising Image Generation +2

Deep Learning Based Multi-Node ISAC 4D Environmental Reconstruction with Uplink- Downlink Cooperation

1 code implementation23 Apr 2024 Bohao Lu, Zhiqing Wei, Huici Wu, Xinrui Zeng, Lin Wang, Xi Lu, Dongyang Mei, Zhiyong Feng

Utilizing widely distributed communication nodes to achieve environmental reconstruction is one of the significant scenarios for Integrated Sensing and Communication (ISAC) and a crucial technology for 6G.

Integrated Sensing and Communication enabled Multiple Base Stations Cooperative UAV Detection

no code implementations19 Apr 2024 Xi Lu, Zhiqing Wei, Ruizhong Xu, Lin Wang, Bohao Lu, Jinghui Piao

Specifically, a multiple signal classification (MUSIC)-based symbol-level fusion method is proposed for UAV localization and velocity estimation, consisting of a single-BS preprocessing step and a lattice points searching step.

Benchmarking

Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation

no code implementations21 Feb 2022 Jinjiang Guo, Qi Liu, Han Guo, Xi Lu

Robust and efficient interpretation of QSAR methods is quite useful to validate AI prediction rationales with subjective opinion (chemist or biologist expertise), understand sophisticated chemical or biological process mechanisms, and provide heuristic ideas for structure optimization in pharmaceutical industry.

Identifying Gene-environment interactions with robust marginal Bayesian variable selection

no code implementations23 Feb 2021 Xi Lu, Kun Fan, Jie Ren, Cen Wu

In this study, we propose a novel marginal Bayesian variable selection method for G$\times$E studies.

Variable Selection Methodology

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