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Luyu Qiu
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2020 – today
- 2024
- [i6]Luyu Qiu, Jianing Li, Lei Wen, Chi Su, Fei Hao, Chen Jason Zhang, Lei Chen:
XPose: eXplainable Human Pose Estimation. CoRR abs/2403.12370 (2024) - [i5]Luyu Qiu, Jianing Li, Chi Su, Chen Jason Zhang, Lei Chen:
Dissecting Multiplication in Transformers: Insights into LLMs. CoRR abs/2407.15360 (2024) - 2023
- [c6]Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao:
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. AAAI 2023: 8640-8647 - [c5]Jun Yu, Renda Li, Zhongpeng Cai, Gongpeng Zhao, Guochen Xie, Jichao Zhu, Wangyuan Zhu, Qiang Ling, Lei Wang, Cong Wang, Luyu Qiu, Wei Zheng:
Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection. CVPR Workshops 2023: 5785-5792 - [c4]Jun Yu, Zhongpeng Cai, Renda Li, Gongpeng Zhao, Guochen Xie, Jichao Zhu, Wangyuan Zhu, Qiang Ling, Lei Wang, Cong Wang, Luyu Qiu, Wei Zheng:
Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition. CVPR Workshops 2023: 5803-5810 - [c3]Jun Yu, Jichao Zhu, Wangyuan Zhu, Zhongpeng Cai, Guochen Xie, Renda Li, Gongpeng Zhao, Qiang Ling, Lei Wang, Cong Wang, Luyu Qiu, Wei Zheng:
A Dual Branch Network for Emotional Reaction Intensity Estimation. CVPR Workshops 2023: 5811-5818 - [i4]Jun Yu, Shenshen Du, Renjie Lu, Pengwei Li, Guochen Xie, Zhongpeng Cai, Keda Lu, Qing Ling, Cong Wang, Luyu Qiu, Wei Zheng:
SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement. CoRR abs/2304.04760 (2023) - [i3]Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao:
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. CoRR abs/2312.15237 (2023) - 2022
- [j1]Xiao-Hui Li
, Caleb Chen Cao, Yuhan Shi, Wei Bai, Han Gao, Luyu Qiu, Cong Wang, Yuanyuan Gao, Shenjia Zhang, Xun Xue, Lei Chen:
A Survey of Data-Driven and Knowledge-Aware eXplainable AI. IEEE Trans. Knowl. Data Eng. 34(1): 29-49 (2022) - [c2]Runjin Chen, Tong Li, Yanyan Shen, Luyu Qiu, Kaidi Li, Caleb Chen Cao:
GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases. CIKM 2022: 222-231 - [c1]Luyu Qiu, Yi Yang, Caleb Chen Cao, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet Hui-wen Hsiao, Lei Chen:
Generating Perturbation-based Explanations with Robustness to Out-of-Distribution Data. WWW 2022: 3594-3605 - 2021
- [i2]Luyu Qiu, Yi Yang, Caleb Chen Cao, Jing Liu, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet H. Hsiao, Lei Chen:
Resisting Out-of-Distribution Data Problem in Perturbation of XAI. CoRR abs/2107.14000 (2021) - [i1]Janet Hui-wen Hsiao, Hilary Hei Ting Ngai, Luyu Qiu, Yi Yang, Caleb Chen Cao:
Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI). CoRR abs/2108.01737 (2021)
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last updated on 2024-08-20 20:26 CEST by the dblp team
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