Dongsheng Luo

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

Multi-Keypoint Affordance Representation for Functional Dexterous Grasping.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., October, 2025

From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation.

[BibT_eX]

[DOI]

CoRR, August, 2025

SF2Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida.

[BibT_eX]

[DOI]

CoRR, June, 2025

Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, June, 2025

LM2otifs : An Explainable Framework for Machine-Generated Texts Detection.

[BibT_eX]

[DOI]

CoRR, May, 2025

Deep Reinforcement Learning for MIMO Communication with Low-Resolution ADCs.

[BibT_eX]

[DOI]

Marian Temprana Alonso

Dongsheng Luo

Farhad Shirani

CoRR, April, 2025

MedPlan:A Two-Stage RAG-Based System for Personalized Medical Plan Generation.

[BibT_eX]

[DOI]

Thao Nguyen Minh Phan

CoRR, March, 2025

NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders.

[BibT_eX]

[DOI]

CoRR, February, 2025

Harnessing Vision Models for Time Series Analysis: A Survey.

[BibT_eX]

[DOI]

CoRR, February, 2025

DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2025

Joint Retrieval of Ozone Profile in Near Space Based on the Atmospheric and Near Infrared Atmospheric Bands of O2 Airglow.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

3DGraphX: Explaining 3D Molecular Graph Models via Incorporating Chemical Priors.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Towards Inductive and Efficient Explanations for Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Leaf disease recognition based on channel information attention network.

[BibT_eX]

[DOI]

Multim. Tools Appl., January, 2024

Exploring Multi-Modal Integration with Tool-Augmented LLM Agents for Precise Causal Discovery.

[BibT_eX]

[DOI]

CoRR, 2024

Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters.

[BibT_eX]

[DOI]

Aitian Ma

Dongsheng Luo

Mo Sha

CoRR, 2024

MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

Aitian Ma

Dongsheng Luo

Mo Sha

CoRR, 2024

LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Granularity-Aware Affordances from Human-Object Interaction for Tool-Based Functional Grasping in Dexterous Robotics.

[BibT_eX]

[DOI]

CoRR, 2024

Elevating Spectral GNNs through Enhanced Band-pass Filter Approximation.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Jun-En Ding

Phan Nguyen Minh Thao

CoRR, 2024

PAC Learnability under Explanation-Preserving Graph Perturbations.

[BibT_eX]

[DOI]

CoRR, 2024

Interpreting Graph Neural Networks with In-Distributed Proxies.

[BibT_eX]

[DOI]

CoRR, 2024

Breaking the Bot Barrier: Evaluating Adversarial AI Techniques Against Multi-Modal Defense Models.

[BibT_eX]

[DOI]

Behzad Ousat

Dongsheng Luo

Amin Kharraz

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Parametric Augmentation for Time Series Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Explaining Time Series via Contrastive and Locally Sparse Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rank Supervised Contrastive Learning for Time Series Classification.

[BibT_eX]

[DOI]

Qianying Ren

Dongsheng Luo

Dongjin Song

Proceedings of the IEEE International Conference on Data Mining, 2024

Shape-aware Graph Spectral Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Factorized Explainer for Graph Neural Networks.

[BibT_eX]

[DOI]

Rundong Huang

Farhad Shirani

Dongsheng Luo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., October, 2023

Random Walk on Multiple Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

MRS-Net: an image inpainting algorithm with multi-scale residual attention fusion.

[BibT_eX]

[DOI]

Appl. Intell., April, 2023

DyExplainer: Explainable Dynamic Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Graph Filters for Spectral GNNs via Newton Interpolation.

[BibT_eX]

[DOI]

CoRR, 2023

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Explainable Graph Neural Networks for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Faithful and Consistent Explanations for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

CLExtract: Recovering Highly Corrupted DVB/GSE Satellite Stream with Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Security of Space and Satellite Systems, SpaceSec 2023, 2023

MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation.

[BibT_eX]

[DOI]

Jiaxing Zhang

Dongsheng Luo

Hua Wei

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems.

[BibT_eX]

[DOI]

Xu Zheng

Tianchun Wang

Samin Yasar Chowdhury

Ruimin Sun

Dongsheng Luo

Proceedings of the IEEE European Symposium on Security and Privacy, 2023

Time Series Contrastive Learning with Information-Aware Augmentations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Collective Approach to Scholar Name Disambiguation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

On Consistency in Graph Neural Network Interpretation.

[BibT_eX]

[DOI]

CoRR, 2022

TopoImb: Toward Topology-Level Imbalance in Learning From Graphs.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Personalized Federated Learning via Heterogeneous Modular Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

RAHC_GAN: A Data Augmentation Method for Tomato Leaf Disease Recognition.

[BibT_eX]

[DOI]

Symmetry, 2021

Unsupervised Document Embedding via Contrastive Augmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Learning to Drop: Robust Graph Neural Network via Topological Denoising.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

InfoGCL: Information-Aware Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Collective Approach to Scholar Name Disambiguation (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Correction to: Memory-based random walk for multi-query local community detection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Memory-based random walk for multi-query local community detection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Attentive Social Recommendation: Towards User And Item Diversities.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Multi-Graph Clustering via Attentive Cross-Graph Association.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Parameterized Explainer for Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Local Community Detection in Multiple Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Face Recognition Algorithm Based on Weighted Intensity PCNN.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Advanced Cloud and Big Data, 2020

2019

Bang-Bang Property of Time Optimal Control for a Kind of Microwave Heating Problem.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2019

Constrained Local Graph Clustering by Colored Random Walk.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Neural Network for Node Classification in Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Local Graph Clustering by Multi-network Random Walk with Restart.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

On Multi-query Local Community Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Query Independent Scholarly Article Ranking.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2016

Ensemble Enabled Weighted PageRank.

[BibT_eX]

[DOI]

CoRR, 2016

2004

Integrating tonal information into Mandarin name recognition with different strategies.

[BibT_eX]

[DOI]

Dongsheng Luo

Xiang Xie

Jingming Kuang

Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004

Dongsheng Luo

Bibliography

Loading...