default search action
Dongsheng Luo
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j10]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): 6601-6619 (2024) - [j9]Dongsheng Luo
Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5245-5259 (2024) - [c31]Rundong Huang, Farhad Shirani, Dongsheng Luo:
Factorized Explainer for Graph Neural Networks. AAAI 2024: 12626-12634 - [c30]Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Shape-aware Graph Spectral Learning. CIKM 2024: 2692-2701 - [c29]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 - [c28]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 - [c27]Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo:
Parametric Augmentation for Time Series Contrastive Learning. ICLR 2024 - [c26]Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo:
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks. ICML 2024 - [c25]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. ICML 2024 - [c24]Tianxiang Zhao
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. KDD 2024: 4479-4489 - [c23]Behzad Ousat
Breaking the Bot Barrier: Evaluating Adversarial AI Techniques Against Multi-Modal Defense Models. WWW (Companion Volume) 2024: 646-649 - [i35]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 abs/2401.08552 (2024) - [i34]Qianying Ren, Dongsheng Luo, Dongjin Song:
Rank Supervised Contrastive Learning for Time Series Classification. CoRR abs/2401.18057 (2024) - [i33]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 abs/2402.02036 (2024) - [i32]Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo:
PAC Learnability under Explanation-Preserving Graph Perturbations. CoRR abs/2402.05039 (2024) - [i31]Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo:
Parametric Augmentation for Time Series Contrastive Learning. CoRR abs/2402.10434 (2024) - [i30]Jun-En Ding
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data. CoRR abs/2403.04785 (2024) - [i29]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 abs/2403.06013 (2024) - [i28]Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo:
Spectral GNN via Two-dimensional (2-D) Graph Convolution. CoRR abs/2404.04559 (2024) - [i27]Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo:
Elevating Spectral GNNs through Enhanced Band-pass Filter Approximation. CoRR abs/2404.15354 (2024) - [i26]Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera
TimeX++: Learning Time-Series Explanations with Information Bottleneck. CoRR abs/2405.09308 (2024) - [i25]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang:
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. CoRR abs/2406.10425 (2024) - [i24]Jiaxing Zhang, Jiayi Liu, Dongsheng Luo, Jennifer Neville, Hua Wei:
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation. CoRR abs/2407.15351 (2024) - [i23]Aitian Ma, Dongsheng Luo, Mo Sha:
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting. CoRR abs/2410.02070 (2024) - [i22]Aitian Ma, Dongsheng Luo, Mo Sha:
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters. CoRR abs/2410.02081 (2024) - [i21]Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo:
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI. CoRR abs/2410.02970 (2024) - 2023
- [j8]Hongxia Deng
MRS-Net: an image inpainting algorithm with multi-scale residual attention fusion. Appl. Intell. 53(7): 7497-7511 (2023) - [j7]Tianxiang Zhao
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. ACM Trans. Intell. Syst. Technol. 14(5): 92:1-92:23 (2023) - [j6]Dongsheng Luo
Random Walk on Multiple Networks. IEEE Trans. Knowl. Data Eng. 35(8): 8417-8430 (2023) - [c22]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: 4534-4542 - [c21]Xu Zheng, Tianchun Wang, Samin Yasar Chowdhury, Ruimin Sun
Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems. EuroS&P Workshops 2023: 363-369 - [c20]Jiaxing Zhang
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. KDD 2023: 3286-3296 - [c19]Minghao Lin, Minghao Cheng, Dongsheng Luo, Yueqi Chen:
CLExtract: Recovering Highly Corrupted DVB/GSE Satellite Stream with Contrastive Learning. SpaceSec 2023 - [c18]Tianxiang Zhao
Towards Faithful and Consistent Explanations for Graph Neural Networks. WSDM 2023: 634-642 - [i20]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. CoRR abs/2301.02791 (2023) - [i19]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 abs/2303.11911 (2023) - [i18]Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang
Self-Explainable Graph Neural Networks for Link Prediction. CoRR abs/2305.12578 (2023) - [i17]Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang:
Random Walk on Multiple Networks. CoRR abs/2307.01637 (2023) - [i16]Jiaxing Zhang, Dongsheng Luo, Hua Wei:
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. CoRR abs/2307.07832 (2023) - [i15]Jiaxing Zhang, Zhuomin Chen, Hao Mei, Dongsheng Luo, Hua Wei:
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task. CoRR abs/2307.07840 (2023) - [i14]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 abs/2310.01820 (2023) - [i13]Minghao Lin, Minghao Cheng, Dongsheng Luo, Yueqi Chen:
CLExtract: Recovering Highly Corrupted DVB/GSE Satellite Stream with Contrastive Learning. CoRR abs/2310.08210 (2023) - [i12]Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
Learning Graph Filters for Spectral GNNs via Newton Interpolation. CoRR abs/2310.10064 (2023) - [i11]Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang:
DyExplainer: Explainable Dynamic Graph Neural Networks. CoRR abs/2310.16375 (2023) - [i10]Rundong Huang, Farhad Shirani, Dongsheng Luo:
Factorized Explainer for Graph Neural Networks. CoRR abs/2312.05596 (2023) - 2022
- [j5]Dongsheng Luo, Shuai Ma
A Collective Approach to Scholar Name Disambiguation. IEEE Trans. Knowl. Data Eng. 34(5): 2020-2032 (2022) - [c17]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: 1197-1202 - [c16]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
TopoImb: Toward Topology-Level Imbalance in Learning From Graphs. LoG 2022: 37 - [i9]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
On Consistency in Graph Neural Network Interpretation. CoRR abs/2205.13733 (2022) - [i8]Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. CoRR abs/2210.14830 (2022) - [i7]Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
TopoImb: Toward Topology-level Imbalance in Learning from Graphs. CoRR abs/2212.08689 (2022) - 2021
- [j4]Hongxia Deng
RAHC_GAN: A Data Augmentation Method for Tomato Leaf Disease Recognition. Symmetry 13(9): 1597 (2021) - [c15]Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai:
A Collective Approach to Scholar Name Disambiguation (Extended Abstract). ICDE 2021: 2317-2318 - [c14]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang:
InfoGCL: Information-Aware Graph Contrastive Learning. NeurIPS 2021: 30414-30425 - [c13]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: 91-99 - [c12]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: 779-787 - [i6]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 abs/2103.14542 (2021) - [i5]Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang:
InfoGCL: Information-Aware Graph Contrastive Learning. CoRR abs/2110.15438 (2021) - 2020
- [j3]Yuchen Bian
Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62(5): 2067-2101 (2020) - [j2]Yuchen Bian
Correction to: Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62(5): 2103-2104 (2020) - [c11]Hongxia Deng, Zijian Feng, Ying Liu, Dongsheng Luo, Xiaofeng Yang, Haifang Li:
Face Recognition Algorithm Based on Weighted Intensity PCNN. CBD 2020: 207-212 - [c10]Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang:
Local Community Detection in Multiple Networks. KDD 2020: 266-274 - [c9]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. NeurIPS 2020 - [c8]Dongsheng Luo, Jingchao Ni, Suhang Wang
Deep Multi-Graph Clustering via Attentive Cross-Graph Association. WSDM 2020: 393-401 - [i4]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. CoRR abs/2011.04573 (2020) - [i3]Dongsheng Luo, Yuchen Bian, Xiang Zhang, Jun Huan:
Attentive Social Recommendation: Towards User And Item Diversities. CoRR abs/2011.04797 (2020) - [i2]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 abs/2011.07057 (2020)
2010 – 2019
- 2019
- [j1]Dongsheng Luo
Bang-Bang Property of Time Optimal Control for a Kind of Microwave Heating Problem. J. Optim. Theory Appl. 183(1): 317-331 (2019) - [c7]Dongkuan Xu
Adaptive Neural Network for Node Classification in Dynamic Networks. ICDM 2019: 1402-1407 - [c6]Dongkuan Xu
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. IJCAI 2019: 3947-3953 - [c5]Yaowei Yan, Yuchen Bian
Constrained Local Graph Clustering by Colored Random Walk. WWW 2019: 2137-2146 - 2018
- [c4]Shuai Ma, Chen Gong, Renjun Hu, Dongsheng Luo, Chunming Hu, Jinpeng Huai:
Query Independent Scholarly Article Ranking. ICDE 2018: 953-964 - [c3]Yuchen Bian
On Multi-query Local Community Detection. ICDM 2018: 9-18 - [c2]Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Bill Yu
Local Graph Clustering by Multi-network Random Walk with Restart. PAKDD (3) 2018: 490-501 - 2016
- [i1]Dongsheng Luo, Chen Gong, Renjun Hu, Liang Duan, Shuai Ma:
Ensemble Enabled Weighted PageRank. CoRR abs/1604.05462 (2016)
2000 – 2009
- 2004
- [c1]Dongsheng Luo, Xiang Xie, Jingming Kuang:
Integrating tonal information into Mandarin name recognition with different strategies. ISCSLP 2004: 265-268
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-21 20:27 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: