Dongsheng Luo

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 69

Top Topics

Graph Clustering

Chronic Disease

Top Venues

Publications

Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
Explaining Time Series via Contrastive and Locally Sparse Perturbations. CoRR (2024)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. CoRR (2024)
Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
Spectral GNN via Two-dimensional (2-D) Graph Convolution. CoRR (2024)
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
Parametric Augmentation for Time Series Contrastive Learning. CoRR (2024)
Hongxia Deng, Dongsheng Luo, Zijing Zhou, Jinxiu Hou, Guanyu Qian, Haifang Li
Leaf disease recognition based on channel information attention network. Multim. Tools Appl. 83 (3) (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
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data. CoRR (2024)
Behzad Ousat, Dongsheng Luo, Amin Kharraz
Breaking the Bot Barrier: Evaluating Adversarial AI Techniques Against Multi-Modal Defense Models. WWW (Companion Volume) (2024)
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape. CoRR (2024)
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo
Interpreting Graph Neural Networks with In-Distributed Proxies. CoRR (2024)
Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang
Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Qianying Ren, Dongsheng Luo, Dongjin Song
Rank Supervised Contrastive Learning for Time Series Classification. CoRR (2024)
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. ICLR (2024)
Rundong Huang, Farhad Shirani, Dongsheng Luo
Factorized Explainer for Graph Neural Networks. AAAI (2024)
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo
TimeX++: Learning Time-Series Explanations with Information Bottleneck. CoRR (2024)
Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
Elevating Spectral GNNs through Enhanced Band-pass Filter Approximation. CoRR (2024)
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
Explaining Time Series via Contrastive and Locally Sparse Perturbations. ICLR (2024)
Jiaxing Zhang, Jiayi Liu, Dongsheng Luo, Jennifer Neville, Hua Wei
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation. CoRR (2024)
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
Parametric Augmentation for Time Series Contrastive Learning. ICLR (2024)
Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo
PAC Learnability under Explanation-Preserving Graph Perturbations. CoRR (2024)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. KDD (2024)
Hongxia Deng, Guanyu Qian, Dongsheng Luo, Xindong Lv, Haoqi Liu, Haifang Li
MRS-Net: an image inpainting algorithm with multi-scale residual attention fusion. Appl. Intell. 53 (7) (2023)
Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
Learning Graph Filters for Spectral GNNs via Newton Interpolation. CoRR (2023)
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang
Random Walk on Multiple Networks. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Rundong Huang, Farhad Shirani, Dongsheng Luo
Factorized Explainer for Graph Neural Networks. CoRR (2023)
Xu Zheng, Tianchun Wang, Samin Yasar Chowdhury, Ruimin Sun, Dongsheng Luo
Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems. EuroS&P Workshops (2023)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. CoRR (2023)
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang
Random Walk on Multiple Networks. CoRR (2023)
Jiaxing Zhang, Dongsheng Luo, Hua Wei
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. KDD (2023)
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. CoRR (2023)
Jiaxing Zhang, Dongsheng Luo, Hua Wei
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. CoRR (2023)
Minghao Lin, Minghao Cheng, Dongsheng Luo, Yueqi Chen
CLExtract: Recovering Highly Corrupted DVB/GSE Satellite Stream with Contrastive Learning. SpaceSec (2023)
Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang
Self-Explainable Graph Neural Networks for Link Prediction. CoRR (2023)
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Time Series Contrastive Learning with Information-Aware Augmentations. CoRR (2023)
Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang
DyExplainer: Explainable Dynamic Graph Neural Networks. CoRR (2023)
Jiaxing Zhang, Zhuomin Chen, Hao Mei, Dongsheng Luo, Hua Wei
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task. CoRR (2023)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Towards Faithful and Consistent Explanations for Graph Neural Networks. WSDM (2023)
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Time Series Contrastive Learning with Information-Aware Augmentations. AAAI (2023)
Minghao Lin, Minghao Cheng, Dongsheng Luo, Yueqi Chen
CLExtract: Recovering Highly Corrupted DVB/GSE Satellite Stream with Contrastive Learning. CoRR (2023)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
On Consistency in Graph Neural Network Interpretation. CoRR (2022)
Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
Personalized Federated Learning via Heterogeneous Modular Networks. ICDM (2022)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
TopoImb: Toward Topology-Level Imbalance in Learning From Graphs. LoG (2022)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
TopoImb: Toward Topology-level Imbalance in Learning from Graphs. CoRR (2022)
Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai
A Collective Approach to Scholar Name Disambiguation. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Tianchun Wan, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
Personalized Federated Learning via Heterogeneous Modular Networks. CoRR (2022)
Hongxia Deng, Dongsheng Luo, Zhangwei Chang, Haifang Li, Xiaofeng Yang
RAHC_GAN: A Data Augmentation Method for Tomato Leaf Disease Recognition. Symmetry 13 (9) (2021)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
InfoGCL: Information-Aware Graph Contrastive Learning. NeurIPS (2021)
Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunmin Hu, Xiang Zhang, Jinpeng Huai
A Collective Approach to Scholar Name Disambiguation (Extended Abstract). ICDE (2021)
Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. SDM (2021)
Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
Unsupervised Document Embedding via Contrastive Augmentation. CoRR (2021)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
InfoGCL: Information-Aware Graph Contrastive Learning. CoRR (2021)
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
Learning to Drop: Robust Graph Neural Network via Topological Denoising. WSDM (2021)
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
Parameterized Explainer for Graph Neural Network. NeurIPS (2020)
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
Parameterized Explainer for Graph Neural Network. CoRR (2020)
Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Yu, Xiang Zhang
Deep Multi-Graph Clustering via Attentive Cross-Graph Association. WSDM (2020)
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
Learning to Drop: Robust Graph Neural Network via Topological Denoising. CoRR (2020)
Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
Correction to: Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62 (5) (2020)
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang
Local Community Detection in Multiple Networks. KDD (2020)
Dongsheng Luo, Yuchen Bian, Xiang Zhang, Jun Huan
Attentive Social Recommendation: Towards User And Item Diversities. CoRR (2020)
Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62 (5) (2020)
Hongxia Deng, Zijian Feng, Ying Liu, Dongsheng Luo, Xiaofeng Yang, Haifang Li
Face Recognition Algorithm Based on Weighted Intensity PCNN. CBD (2020)
Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee, Xiang Zhang
Constrained Local Graph Clustering by Colored Random Walk. WWW (2019)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. IJCAI (2019)
Dongsheng Luo, Wei Wei, Yumei Liao, Hongyong Deng
Bang-Bang Property of Time Optimal Control for a Kind of Microwave Heating Problem. J. Optim. Theory Appl. 183 (1) (2019)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang
Adaptive Neural Network for Node Classification in Dynamic Networks. ICDM (2019)
Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang
On Multi-query Local Community Detection. ICDM (2018)
Shuai Ma, Chen Gong, Renjun Hu, Dongsheng Luo, Chunming Hu, Jinpeng Huai
Query Independent Scholarly Article Ranking. ICDE (2018)
Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Yu, John Yen, Xiang Zhang
Local Graph Clustering by Multi-network Random Walk with Restart. PAKDD (3) (2018)
Dongsheng Luo, Chen Gong, Renjun Hu, Liang Duan, Shuai Ma
Ensemble Enabled Weighted PageRank. CoRR (2016)
Dongsheng Luo, Xiang Xie, Jingming Kuang
Integrating tonal information into Mandarin name recognition with different strategies. ISCSLP (2004)