Luyu Qiu

According to our database, Luyu Qiu authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dissecting Multiplication in Transformers: Insights into LLMs.

Luyu Qiu, Jianing Li, Chi Su, Chen Jason Zhang, Lei Chen

CoRR, 2024

XPose: eXplainable Human Pose Estimation.

Luyu Qiu, Jianing Li, Lei Wen, Chi Su, Fei Hao, Chen Jason Zhang, Lei Chen

CoRR, 2024

2023

SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement.

Jun Yu, Shenshen Du, Renjie Lu, Pengwei Li, Guochen Xie, Zhongpeng Cai, Keda Lu, Qing Ling, Cong Wang, Luyu Qiu, Wei Zheng

CoRR, 2023

A Dual Branch Network for Emotional Reaction Intensity Estimation.

Jun Yu, Jichao Zhu, Wangyuan Zhu, Zhongpeng Cai, Guochen Xie, Renda Li, Gongpeng Zhao, Qiang Ling, Lei Wang, Cong Wang, Luyu Qiu, Wei Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection.

Jun Yu, Renda Li, Zhongpeng Cai, Gongpeng Zhao, Guochen Xie, Jichao Zhu, Wangyuan Zhu, Qiang Ling, Lei Wang, Cong Wang, Luyu Qiu, Wei Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition.

Jun Yu, Zhongpeng Cai, Renda Li, Gongpeng Zhao, Guochen Xie, Jichao Zhu, Wangyuan Zhu, Qiang Ling, Lei Wang, Cong Wang, Luyu Qiu, Wei Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network.

Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Survey of Data-Driven and Knowledge-Aware eXplainable AI.

Xiao-Hui Li, Caleb Chen Cao, Yuhan Shi, Wei Bai, Han Gao, Luyu Qiu, Cong Wang, Yuanyuan Gao, Shenjia Zhang, Xun Xue, Lei Chen

IEEE Trans. Knowl. Data Eng., 2022

Generating Perturbation-based Explanations with Robustness to Out-of-Distribution Data.

Luyu Qiu, Yi Yang, Caleb Chen Cao, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet Hui-wen Hsiao, Lei Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases.

Runjin Chen, Tong Li, Yanyan Shen, Luyu Qiu, Kaidi Li, Caleb Chen Cao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI).

Janet Hui-wen Hsiao, Hilary Hei Ting Ngai, Luyu Qiu, Yi Yang, Caleb Chen Cao

CoRR, 2021

Resisting Out-of-Distribution Data Problem in Perturbation of XAI.

Luyu Qiu, Yi Yang, Caleb Chen Cao, Jing Liu, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet H. Hsiao, Lei Chen

CoRR, 2021