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Dongsheng Luo

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TimeX++: Learning Time-Series Explanations with Information Bottleneck

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May 15, 2024
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo

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Elevating Spectral GNNs through Enhanced Band-pass Filter Approximation

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Apr 15, 2024
Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo

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Spectral GNN via Two-dimensional (2-D) Graph Convolution

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Apr 06, 2024
Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo

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Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape

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Mar 09, 2024
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei

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Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data

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Mar 02, 2024
Jun-En Ding, Phan Nguyen Minh Thao, Wen-Chih Peng, Jian-Zhe Wang, Chun-Cheng Chug, Min-Chen Hsieh, Yun-Chien Tseng, Ling Chen, Dongsheng Luo, Chi-Te Wang, Pei-fu Chen, Feng Liu, Fang-Ming Hung

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Parametric Augmentation for Time Series Contrastive Learning

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Feb 16, 2024
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo

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PAC Learnability under Explanation-Preserving Graph Perturbations

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Feb 07, 2024
Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo

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Interpreting Graph Neural Networks with In-Distributed Proxies

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Feb 03, 2024
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo

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Rank Supervised Contrastive Learning for Time Series Classification

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Jan 31, 2024
Qianying Ren, Dongsheng Luo, Dongjin Song

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Explaining Time Series via Contrastive and Locally Sparse Perturbations

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Jan 29, 2024
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen

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