Luo, Dongsheng

16 publications

ICLR 2025 F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo

IJCAI 2025 Harnessing Vision Models for Time Series Analysis: A Survey Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen

ICML 2025 NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders Jun-En Ding, Dongsheng Luo, Chenwei Wu, Feng Liu

ICLR 2024 Explaining Time Series via Contrastive and Locally Sparse Perturbations Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen

AAAI 2024 Factorized Explainer for Graph Neural Networks Rundong Huang, Farhad Shirani, Dongsheng Luo

ICML 2024 Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo

ICLR 2024 Parametric Augmentation for Time Series Contrastive Learning Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo

NeurIPS 2024 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo, Hua Wei

ICML 2024 TimeX++: Learning Time-Series Explanations with Information Bottleneck Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo

ICLR 2024 Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo

NeurIPSW 2023 Shedding Light on Random Dropping and Oversmoothing Han Xuanyuan, Tianxiang Zhao, Dongsheng Luo

AAAI 2023 Time Series Contrastive Learning with Information-Aware Augmentations Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang

LoG 2022 TopoImb: Toward Topology-Level Imbalance in Learning from Graphs Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

NeurIPS 2021 InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang

NeurIPS 2020 Parameterized Explainer for Graph Neural Network Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang

IJCAI 2019 Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang