Du, Xin

24 publications

NeurIPS 2025 BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent Shaojie Zhang, Ruoceng Zhang, Pei Fu, Shaokang Wang, Jiahui Yang, Xin Du, ShiqiCui, Bin Qin, Ying Huang, Zhenbo Luo, Jian Luan

IJCAI 2025 Backdoor Attack on Vertical Federated Graph Neural Network Learning Jirui Yang, Peng Chen, Zhihui Lu, Jianping Zeng, Qiang Duan, Xin Du, Ruijun Deng

ECML-PKDD 2025 Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well Xin Du, Sikun Yang, Wouter Duivesteijn, Mykola Pechenizkiy

NeurIPS 2025 Correlation Dimension of Autoregressive Large Language Models Xin Du, Kumiko Tanaka-Ishii

IJCAI 2025 Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong, Xiaoqing Zheng, Shuiguang Deng

ICML 2025 Dendritic Localized Learning: Toward Biologically Plausible Algorithm Changze Lv, Jingwen Xu, Yiyang Lu, Xiaohua Wang, Zhenghua Wang, Zhibo Xu, Di Yu, Xin Du, Xiaoqing Zheng, Xuanjing Huang

IJCAI 2025 ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng

IJCAI 2025 Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Di Yu, Xin Du, Linshan Jiang, Huijing Zhang, Shuiguang Deng

AAAI 2025 Information-Theoretic Generative Clustering of Documents Xin Du, Kumiko Tanaka-Ishii

ICML 2025 MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product Muyang Cao, Jiajun Yu, Xin Du, Gang Pan, Wei Wang

IJCAI 2025 Universal Backdoor Defense via Label Consistency in Vertical Federated Learning Peng Chen, Haolong Xiang, Xin Du, Xiaolong Xu, Xuhao Jiang, Zhihui Lu, Jirui Yang, Qiang Duan, Wanchun Dou

ICML 2024 Bottleneck-Minimal Indexing for Generative Document Retrieval Xin Du, Lixin Xiu, Kumiko Tanaka-Ishii

IJCAI 2024 EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices Di Yu, Xin Du, Linshan Jiang, Wentao Tong, Shuiguang Deng

ECML-PKDD 2023 DegUIL: Degree-Aware Graph Neural Networks for Long-Tailed User Identity Linkage Meixiu Long, Siyuan Chen, Xin Du, Jiahai Wang

IJCAI 2022 DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework Chao Zhang, Zhijian Li, Xin Du, Hui Qian

MLHC 2022 Deep Cascade Learning for Optimal Medical Image Feature Representation Junwen Wang, Xin Du, Katayoun Farrahi, Mahesan Niranjan

NeurIPS 2022 FIRE: Semantic Field of Words Represented as Non-Linear Functions Xin Du, Kumiko Tanaka-Ishii

ECCV 2022 Multi-Curve Translator for High-Resolution Photorealistic Image Translation Yuda Song, Hui Qian, Xin Du

NeurIPS 2022 Risk-Driven Design of Perception Systems Anthony Corso, Sydney Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J Kochenderfer

ECML-PKDD 2021 Multi-Agent Deep Reinforcement Learning with Spatio-Temporal Feature Fusion for Traffic Signal Control Xin Du, Jiahai Wang, Siyuan Chen, Zhiyue Liu

IJCAI 2021 SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng

ICCV 2021 StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement Yuda Song, Hui Qian, Xin Du

AAAI 2020 Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy

ICCV 2013 Multi-View 3D Reconstruction from Uncalibrated Radially-Symmetric Cameras Jae-Hak Kim, Yuchao Dai, Hongdong Li, Xin Du, Jonghyuk Kim