DL
Dongsheng Luo
cs.LGcs.AIcs.CVcs.SIcs.CLcs.IRcs.NAcs.ROeess.SPElectronic Health Records
On Valency
published · living versionsW_bjhjwetw·v1 · currentpublished
Tandem: Serving Hybrid Linear-Attention GUI Agents on Mobile NPUs
with Zhuomin Chen, Jingchao Ni, Xu Zheng, Yong Chen +2
1 version
Preprints & journals
58 papers in the corpus · 2016–2026Tandem: Serving Hybrid Linear-Attention GUI Agents on Mobile NPUs2610.26660v1 · Zhuomin Chen, Jingchao Ni, Xu Zheng et al.2026 · 0 citationsarXivon Valency
Do Time-Series QA Systems Read the Time Series? Evidence Use and Reasoning Reliability2610.05686v1 · Zhuomin Chen, Jingchao Ni, Xu Zheng et al.2026 · 0 citationsarXiv
BridgeCast: Bridging Ocean Wave Forecasts to Reanalysis via Flow Matching with Exogenous Variables2610.03759v3 · Siyu Gan, Dongsheng Luo, Kunxiaojia Yuan et al.2026 · 0 citationsarXiv
Addressing Structural Distribution Shift in Explanations for Graph Neural Networks.42081424 · Chen, Zhuomin, Salehi, Hojat Allah, Schafir, Esteban et al.2026 · 0 citationsIEEE transactions on pattern analysis and machine intelligence. 2026;48(9):10976-10990
Multi-Source Dynamic Graph Learning for Compound-Flood Forecasting in Managed Coastal Systems2608.01775v1 · Liangjun You, Min Wu, Orlando Woods et al.2026 · 0 citationsarXiv
BLaDA: Bridging Language to Functional Dexterous Actions within 3DGS Fields2604.08410v2 · Fan Yang, Wenrui Chen, Guorun Yan et al.2026 · 0 citationsarXiv
LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation2602.22537v1 · Shouwei Gao, Xu Zheng, Dongsheng Luo et al.2026 · 0 citationsarXiv
KORAL: Knowledge Graph Guided LLM Reasoning for SSD Operational Analysis2602.10246v1 · Mayur Akewar, Sandeep Madireddy, Dongsheng Luo et al.2026 · 0 citationsarXiv
CURENet: combining unified representations for efficient chronic disease prediction.41323159 · Dao, Cong-Tinh, Phan, Nguyen Minh Thao, Ding, Jun-En et al.2025 · 7 citationsHealth information science and systems. 2026;14(1):7
Learning Granularity-Aware Affordances From Human-Object Interaction for Tool-Based Functional Dexterous Grasping.40737170 · Yang, Fan, Chen, Wenrui, Yang, Kailun et al.2025 · 11 citationsIEEE transactions on neural networks and learning systems. 2025;36(11):19589-19603
From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation2508.01925v1 · Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi et al.2025 · 0 citationsarXiv
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders.41959946 · Ding, Jun-En, Luo, Dongsheng, Wu, Chenwei et al.2026 · 0 citationsProceedings of machine learning research. 2025;267:13845-13869
Uncovering Insights of Compound Flooding with Data-Driven AI2506.04281v3 · Xu Zheng, Chaohao Lin, Sipeng Chen et al.2025 · 1 citationarXiv
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks2506.00437v1 · Jiaxing Zhang, Xiaoou Liu, Dongsheng Luo et al.2025 · 2 citationsIn Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025)
Towards Structurally Explainable Machine-Generated Text Detection: A Graph-Perspective Framework2505.12507v2 · Xu Zheng, Zhuomin Chen, Esteban Schafir et al.2025 · 0 citationsarXiv
Deep Reinforcement Learning for MIMO Communication with Low-Resolution ADCs2504.18957v1 · Marian Temprana Alonso, Dongsheng Luo, Farhad Shirani2025 · 0 citationsarXiv
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders2502.18786v3 · Jun-En Ding, Dongsheng Luo, Anna Zilverstand et al.2025 · 0 citationsarXiv
Harnessing Vision Models for Time Series Analysis: A Survey2502.08869v2 · Jingchao Ni, Ziming Zhao, ChengAo Shen et al.2025 · 14 citationsarXiv
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery2412.13667v2 · ChengAo Shen, Zhengzhang Chen, Dongsheng Luo et al.2024 · 7 citationsarXiv
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning2410.12657v2 · Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi et al.2024 · 1 citationarXiv
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI2410.02970v2 · Xu Zheng, Farhad Shirani, Zhuomin Chen et al.2024 · 0 citationsarXiv
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting2410.02070v1 · Aitian Ma, Dongsheng Luo, Mo Sha2024 · 2 citationsarXiv
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters2410.02081v2 · Aitian Ma, Dongsheng Luo, Mo Sha2024 · 0 citationsarXiv
Large language multimodal models for new-onset type 2 diabetes prediction using five-year cohort electronic health records.39237580 · Ding, Jun-En, Thao, Phan Nguyen Minh, Peng, Wen-Chih et al.2024 · 36 citationsScientific reports. 2024;14(1):20774
Towards Inductive and Efficient Explanations for Graph Neural Networks.38319773 · Luo, Dongsheng, Zhao, Tianxiang, Cheng, Wei et al.2024 · 24 citationsIEEE transactions on pattern analysis and machine intelligence. 2024;46(8):5245-5259
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling2406.10425v2 · Tianxiang Zhao, Dongsheng Luo, Xiang Zhang et al.2024 · 7 citationsProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24), August 25--29, 2024, Barcelona, Spain
TimeX++: Learning Time-Series Explanations with Information Bottleneck2405.09308v1 · Zichuan Liu, Tianchun Wang, Jimeng Shi et al.2024 · 2 citationsarXiv
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach2404.15354v2 · Guoming Li, Jian Yang, Shangsong Liang et al.2024 · 2 citationsarXiv
Spectral GNN via Two-dimensional (2-D) Graph Convolution2404.04559v1 · Guoming Li, Jian Yang, Shangsong Liang et al.2024 · 0 citationsarXiv
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape2403.06013v2 · Tiejin Chen, Wenwang Huang, Linsey Pang et al.2024 · 0 citationsarXiv
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data2403.04785v2 · Jun-En Ding, Phan Nguyen Minh Thao, Wen-Chih Peng et al.2024 · 1 citationarXiv
MOGAT: A Multi-Omics Integration Framework Using Graph Attention Networks for Cancer Subtype Prediction.38474033 · Tanvir, Raihanul Bari, Islam, Md Mezbahul, Sobhan, Masrur et al.2024 · 72 citationsInternational journal of molecular sciences. 2024;25(5)
Parametric Augmentation for Time Series Contrastive Learning2402.10434v1 · Xu Zheng, Tianchun Wang, Wei Cheng et al.2024 · 7 citationsarXiv
PAC Learnability under Explanation-Preserving Graph Perturbations2402.05039v1 · Xu Zheng, Farhad Shirani, Tianchun Wang et al.2024 · 0 citationsarXiv
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks2402.02036v2 · Zhuomin Chen, Jiaxing Zhang, Jingchao Ni et al.2024 · 0 citationsarXiv
Rank Supervised Contrastive Learning for Time Series Classification2401.18057v2 · Qianying Ren, Dongsheng Luo, Dongjin Song2024 · 6 citationsarXiv
Explaining Time Series via Contrastive and Locally Sparse Perturbations2401.08552v2 · Zichuan Liu, Yingying Zhang, Tianchun Wang et al.2024 · 2 citationsarXiv
Factorized Explainer for Graph Neural Networks2312.05596v2 · Rundong Huang, Farhad Shirani, Dongsheng Luo2023 · 10 citationsarXiv
DyExplainer: Explainable Dynamic Graph Neural Networks2310.16375v1 · Tianchun Wang, Dongsheng Luo, Wei Cheng et al.2023 · 3 citationsarXiv
Shape-aware Graph Spectral Learning2310.10064v2 · Junjie Xu, Enyan Dai, Dongsheng Luo et al.2023 · 4 citationsarXiv
CLExtract: Recovering Highly Corrupted DVB/GSE Satellite Stream with Contrastive Learning2310.08210v1 · Minghao Lin, Minghao Cheng, Dongsheng Luo et al.2023 · 1 citationarXiv
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks2310.01820v2 · Xu Zheng, Farhad Shirani, Tianchun Wang et al.2023 · 5 citationsarXiv
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation2307.07832v1 · Jiaxing Zhang, Dongsheng Luo, Hua Wei2023 · 26 citationsarXiv
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks2307.07840v4 · Jiaxing Zhang, Zhuomin Chen, Hao Mei et al.2023 · 4 citationsarXiv
Random Walk on Multiple Networks2307.01637v1 · Dongsheng Luo, Yuchen Bian, Yaowei Yan et al.2023 · 2 citationsarXiv
Self-Explainable Graph Neural Networks for Link Prediction2305.12578v1 · Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang et al.2023 · 3 citationsarXiv
MOGAT: An Improved Multi-Omics Integration Framework Using Graph Attention Networks10.1101/2023.04.01.535195v1 · Tanvir, R. B., Islam, M. M., Sobhan, M. et al.2023 · 7 citationsbioRxiv
Time Series Contrastive Learning with Information-Aware Augmentations2303.11911v1 · Dongsheng Luo, Wei Cheng, Yingheng Wang et al.2023 · 102 citationsarXiv
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment2301.02791v2 · Tianxiang Zhao, Dongsheng Luo, Xiang Zhang et al.2023 · 8 citationsarXiv
TopoImb: Toward Topology-level Imbalance in Learning from Graphs2212.08689v1 · Tianxiang Zhao, Dongsheng Luo, Xiang Zhang et al.2022 · 3 citationsarXiv
Career total: 88 works. 58 are in this corpus.Showing the 50 most recent.
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