Dongsheng Luo

115 papers A* 27A 5B 1Journal 70Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
CURENet: combining unified representations for efficient chronic disease prediction.
Health Inf. Sci. Syst.
Cong-Tinh Dao, Nguyen-Minh-Thao Phan, Jun-En Ding, Chenwei Wu, David S. Restrepo, Dongsheng Luo, Fanyi Zhao, Chun-Chieh Liao, Wen-Chih Peng, Chi-Te Wang, Pei-Fu Chen, Ling Chen, Xinglong Ju, Feng Liu, Fang-Ming Hung
2026 A* conf
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning.
AAAI
Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir, Farhad Shirani, Dongsheng Luo
2026 J jnl
KORAL: Knowledge Graph Guided LLM Reasoning for SSD Operational Analysis.
CoRR
Mayur Akewar, Sandeep Madireddy, Dongsheng Luo, Janki Bhimani
2026 J jnl
LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation.
CoRR
Shouwei Gao, Xu Zheng, Dongsheng Luo, Sheng Di, Wenqian Dong
2025 — conf
3DGraphX: Explaining 3D Molecular Graph Models via Incorporating Chemical Priors.
KDD (1)
Xufeng Liu, Dongsheng Luo, Wenhan Gao, Yi Liu
2025 — conf
A Feasibility Study on Using LoRa Link Characteristics to Predict Ambient Air Temperature.
INFOCOM WKSHPS
Aitian Ma, Jean Carlos Tonday Rodriguez, Mo Sha, Dongsheng Luo
2025 J jnl
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape.
SIGKDD Explor.
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
2025 J jnl
CURENet: Combining Unified Representations for Efficient Chronic Disease Prediction.
CoRR
Cong-Tinh Dao, Nguyen Minh Thao Phan, Jun-En Ding, Chenwei Wu, David S. Restrepo, Dongsheng Luo, Fanyi Zhao, Chun-Chieh Liao, Wen-Chih Peng, Chi-Te Wang, Pei-Fu Chen, Ling Chen, Xinglong Ju, Feng Liu, Fang-Ming Hung
2025 J jnl
Deep Reinforcement Learning for MIMO Communication with Low-Resolution ADCs.
CoRR
Marian Temprana Alonso, Dongsheng Luo, Farhad Shirani
2025 J jnl
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions.
ACM Trans. Knowl. Discov. Data
Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang
2025 — conf
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery.
ACL (Findings)
ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni
2025 A* conf
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI.
ICLR
Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo
2025 J jnl
Feature-Function Curvature Analysis: A Geometric Framework for Explaining Differentiable Models.
CoRR
Hamed Najafi, Dongsheng Luo, Jason Liu
2025 J jnl
From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation.
CoRR
Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Dongsheng Luo
2025 J jnl
GraphGhost: Tracing Structures Behind Large Language Models.
CoRR
Xinnan Dai, Kai Guo, Chung-Hsiang Lo, Shenglai Zeng, Jiayuan Ding, Dongsheng Luo, Subhabrata Mukherjee, Jiliang Tang
2025 A* conf
Harnessing Vision Models for Time Series Analysis: A Survey.
IJCAI
Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025 J jnl
Harnessing Vision Models for Time Series Analysis: A Survey.
CoRR
Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025 — conf
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks.
KDD (2)
Jiaxing Zhang, Xiaoou Liu, Dongsheng Luo, Hua Wei
2025 J jnl
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks.
CoRR
Jiaxing Zhang, Xiaoou Liu, Dongsheng Luo, Hua Wei
2025 J jnl
Joint Retrieval of Ozone Profile in Near Space Based on the Atmospheric and Near Infrared Atmospheric Bands of O
IEEE Trans. Geosci. Remote. Sens.
Weiwei He, Zhongyi Fu, Daoqi Wang, Yufeng Zhou, Dongsheng Luo, Zhihua Wang, Xinyu Kang, Kuijun Wu
2025 J jnl
LM
CoRR
Xu Zheng, Zhuomin Chen, Esteban Schafir, Sipeng Chen, Hojat Allah Salehi, Haifeng Chen, Farhad Shirani, Wei Cheng, Dongsheng Luo
2025 J jnl
Learning Granularity-Aware Affordances From Human-Object Interaction for Tool-Based Functional Dexterous Grasping.
IEEE Trans. Neural Networks Learn. Syst.
Fan Yang, Wenrui Chen, Kailun Yang, Haoran Lin, Dongsheng Luo, Conghui Tang, Zhiyong Li, Yaonan Wang
2025 — conf
MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation.
ACL (6)
Hsin-Ling Hsu, Cong-Tinh Dao, Luning Wang, Zitao Shuai, Thao Nguyen Minh Phan, Jun-En Ding, Chun-Chieh Liao, Pengfei Hu, Xiaoxue Han, Chih-Ho Hsu, Dongsheng Luo, Wen-Chih Peng, Feng Liu, Fang-Ming Hung, Chenwei Wu
2025 J jnl
MedPlan:A Two-Stage RAG-Based System for Personalized Medical Plan Generation.
CoRR
Hsin-Ling Hsu, Cong-Tinh Dao, Luning Wang, Zitao Shuai, Thao Nguyen Minh Phan, Jun-En Ding, Chun-Chieh Liao, Pengfei Hu, Xiaoxue Han, Chih-Ho Hsu, Dongsheng Luo, Wen-Chih Peng, Feng Liu, Fang-Ming Hung, Chenwei Wu
2025 J jnl
Multi-Keypoint Affordance Representation for Functional Dexterous Grasping.
CoRR
Fan Yang, Dongsheng Luo, Wenrui Chen, Jiacheng Lin, Junjie Cai, Kailun Yang, Zhiyong Li, Yaonan Wang
2025 J jnl
Multi-Keypoint Affordance Representation for Functional Dexterous Grasping.
IEEE Robotics Autom. Lett.
Fan Yang, Dongsheng Luo, Wenrui Chen, Jiacheng Lin, Junjie Cai, Kailun Yang, Zhiyong Li, Yaonan Wang
2025 A* conf
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders.
ICML
Jun-En Ding, Dongsheng Luo, Chenwei Wu, Feng Liu
2025 J jnl
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders.
CoRR
Jun-En Ding, Dongsheng Luo, Anna Zilverstand, Feng Liu
2025 A* conf
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach.
WWW
Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
2025 A* conf
Poster: FedFNS: A Robust Federated Learning Method for Data Shift over Unreliable Communication Links.
MobiCom
Zhidu Li, Dongsheng Luo, Qing Xue, Yue Tian, Zhengwei Ni, Mingliang Deng
2025 B conf
Reasoning with Knowledge Graphs for Trustworthy Course Recommendation.
DSAA
Md. Akib Zabed Khan, Dongsheng Luo, Agoritsa Polyzou
2025 J jnl
SF
CoRR
Xu Zheng, Chaohao Lin, Sipeng Chen, Zhuomin Chen, Jimeng Shi, Wei Cheng, Jayantha Obeysekera, Jason Liu, Dongsheng Luo
2025 J jnl
SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters.
CoRR
ChengAo Shen, Ziming Zhao, Hanghang Tong, Dongjin Song, Dongsheng Luo, Qingsong Wen, Jingchao Ni
2025 J jnl
Uncovering Graph Reasoning in Decoder-only Transformers with Circuit Tracing.
CoRR
Xinnan Dai, Chung-Hsiang Lo, Kai Guo, Shenglai Zeng, Dongsheng Luo, Jiliang Tang
2024 J jnl
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape.
CoRR
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
2024 — conf
Breaking the Bot Barrier: Evaluating Adversarial AI Techniques Against Multi-Modal Defense Models.
WWW (Companion Volume)
Behzad Ousat, Dongsheng Luo, Amin Kharraz
2024 J jnl
Elevating Spectral GNNs through Enhanced Band-pass Filter Approximation.
CoRR
Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
2024 A* conf
Explaining Time Series via Contrastive and Locally Sparse Perturbations.
ICLR
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
2024 J jnl
Explaining Time Series via Contrastive and Locally Sparse Perturbations.
CoRR
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
2024 J jnl
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning.
CoRR
Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir, Farhad Shirani, Dongsheng Luo
2024 J jnl
Exploring Multi-Modal Integration with Tool-Augmented LLM Agents for Precise Causal Discovery.
CoRR
ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni
2024 J jnl
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI.
CoRR
Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo
2024 A* conf
Factorized Explainer for Graph Neural Networks.
AAAI
Rundong Huang, Farhad Shirani, Dongsheng Luo
2024 A* conf
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks.
ICML
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo
2024 J jnl
Interpreting Graph Neural Networks with In-Distributed Proxies.
CoRR
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo
2024 J jnl
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation.
CoRR
Jiaxing Zhang, Jiayi Liu, Dongsheng Luo, Jennifer Neville, Hua Wei
2024 J jnl
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data.
CoRR
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
2024 J jnl
Leaf disease recognition based on channel information attention network.
Multim. Tools Appl.
Hongxia Deng, Dongsheng Luo, Zijing Zhou, Jinxiu Hou, Guanyu Qian, Haifang Li
2024 J jnl
Learning Granularity-Aware Affordances from Human-Object Interaction for Tool-Based Functional Grasping in Dexterous Robotics.
CoRR
Fan Yang, Wenrui Chen, Kailun Yang, Haoran Lin, Dongsheng Luo, Conghui Tang, Zhiyong Li, Yaonan Wang
2024 J jnl
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting.
CoRR
Aitian Ma, Dongsheng Luo, Mo Sha
2024 J jnl
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters.
CoRR
Aitian Ma, Dongsheng Luo, Mo Sha
2024 A* conf
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling.
KDD
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024 J jnl
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling.
CoRR
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024 J jnl
PAC Learnability under Explanation-Preserving Graph Perturbations.
CoRR
Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo
2024 A* conf
Parametric Augmentation for Time Series Contrastive Learning.
ICLR
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
2024 J jnl
Parametric Augmentation for Time Series Contrastive Learning.
CoRR
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
2024 A* conf
Rank Supervised Contrastive Learning for Time Series Classification.
ICDM
Qianying Ren, Dongsheng Luo, Dongjin Song
2024 J jnl
Rank Supervised Contrastive Learning for Time Series Classification.
CoRR
Qianying Ren, Dongsheng Luo, Dongjin Song
2024 A* conf
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks.
NeurIPS
Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo, Hua Wei
2024 A conf
Shape-aware Graph Spectral Learning.
CIKM
Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024 J jnl
Spectral GNN via Two-dimensional (2-D) Graph Convolution.
CoRR
Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
2024 A* conf
TimeX++: Learning Time-Series Explanations with Information Bottleneck.
ICML
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo
2024 J jnl
TimeX++: Learning Time-Series Explanations with Information Bottleneck.
CoRR
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo
2024 J jnl
Towards Inductive and Efficient Explanations for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang
2024 A* conf
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.
ICLR
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2023 — conf
CLExtract: Recovering Highly Corrupted DVB/GSE Satellite Stream with Contrastive Learning.
SpaceSec
Minghao Lin, Minghao Cheng, Dongsheng Luo, Yueqi Chen
2023 J jnl
CLExtract: Recovering Highly Corrupted DVB/GSE Satellite Stream with Contrastive Learning.
CoRR
Minghao Lin, Minghao Cheng, Dongsheng Luo, Yueqi Chen
2023 J jnl
DyExplainer: Explainable Dynamic Graph Neural Networks.
CoRR
Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang
2023 J jnl
Factorized Explainer for Graph Neural Networks.
CoRR
Rundong Huang, Farhad Shirani, Dongsheng Luo
2023 J jnl
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment.
CoRR
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023 J jnl
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment.
ACM Trans. Intell. Syst. Technol.
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023 J jnl
Learning Graph Filters for Spectral GNNs via Newton Interpolation.
CoRR
Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023 J jnl
MRS-Net: an image inpainting algorithm with multi-scale residual attention fusion.
Appl. Intell.
Hongxia Deng, Guanyu Qian, Dongsheng Luo, Xindong Lv, Haoqi Liu, Haifang Li
2023 A* conf
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation.
KDD
Jiaxing Zhang, Dongsheng Luo, Hua Wei
2023 J jnl
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation.
CoRR
Jiaxing Zhang, Dongsheng Luo, Hua Wei
2023 J jnl
Random Walk on Multiple Networks.
CoRR
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang
2023 J jnl
Random Walk on Multiple Networks.
IEEE Trans. Knowl. Data Eng.
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang
2023 J jnl
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task.
CoRR
Jiaxing Zhang, Zhuomin Chen, Hao Mei, Dongsheng Luo, Hua Wei
2023 J jnl
Self-Explainable Graph Neural Networks for Link Prediction.
CoRR
Huaisheng Zhu, Dongsheng Luo, Xianfeng Tang, Junjie Xu, Hui Liu, Suhang Wang
2023 A* conf
Time Series Contrastive Learning with Information-Aware Augmentations.
AAAI
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023 J jnl
Time Series Contrastive Learning with Information-Aware Augmentations.
CoRR
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023 A conf
Towards Faithful and Consistent Explanations for Graph Neural Networks.
WSDM
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023 J jnl
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.
CoRR
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2023 — conf
Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems.
EuroS&P Workshops
Xu Zheng, Tianchun Wang, Samin Yasar Chowdhury, Ruimin Sun, Dongsheng Luo
2022 J jnl
A Collective Approach to Scholar Name Disambiguation.
IEEE Trans. Knowl. Data Eng.
Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai
2022 J jnl
On Consistency in Graph Neural Network Interpretation.
CoRR
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2022 A* conf
Personalized Federated Learning via Heterogeneous Modular Networks.
ICDM
Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022 J jnl
Personalized Federated Learning via Heterogeneous Modular Networks.
CoRR
Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022 — conf
TopoImb: Toward Topology-Level Imbalance in Learning From Graphs.
LoG
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2022 J jnl
TopoImb: Toward Topology-level Imbalance in Learning from Graphs.
CoRR
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2021 A* conf
A Collective Approach to Scholar Name Disambiguation (Extended Abstract).
ICDE
Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai
2021 A conf
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection.
SDM
Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang
2021 A* conf
InfoGCL: Information-Aware Graph Contrastive Learning.
NeurIPS
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
2021 J jnl
InfoGCL: Information-Aware Graph Contrastive Learning.
CoRR
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
2021 A conf
Learning to Drop: Robust Graph Neural Network via Topological Denoising.
WSDM
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
2021 J jnl
RAHC_GAN: A Data Augmentation Method for Tomato Leaf Disease Recognition.
Symmetry
Hongxia Deng, Dongsheng Luo, Zhangwei Chang, Haifang Li, Xiaofeng Yang
2021 J jnl
Unsupervised Document Embedding via Contrastive Augmentation.
CoRR
Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
2020 J jnl
Attentive Social Recommendation: Towards User And Item Diversities.
CoRR
Dongsheng Luo, Yuchen Bian, Xiang Zhang, Jun Huan
2020 J jnl
Correction to: Memory-based random walk for multi-query local community detection.
Knowl. Inf. Syst.
Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
2020 A conf
Deep Multi-Graph Clustering via Attentive Cross-Graph Association.
WSDM
Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Bill Yu, Xiang Zhang
2020 — conf
Face Recognition Algorithm Based on Weighted Intensity PCNN.
CBD
Hongxia Deng, Zijian Feng, Ying Liu, Dongsheng Luo, Xiaofeng Yang, Haifang Li
2020 J jnl
Learning to Drop: Robust Graph Neural Network via Topological Denoising.
CoRR
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
2020 A* conf
Local Community Detection in Multiple Networks.
KDD
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang
2020 J jnl
Memory-based random walk for multi-query local community detection.
Knowl. Inf. Syst.
Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
2020 A* conf
Parameterized Explainer for Graph Neural Network.
NeurIPS
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
2020 J jnl
Parameterized Explainer for Graph Neural Network.
CoRR
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
2019 A* conf
Adaptive Neural Network for Node Classification in Dynamic Networks.
ICDM
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang
2019 J jnl
Bang-Bang Property of Time Optimal Control for a Kind of Microwave Heating Problem.
J. Optim. Theory Appl.
Dongsheng Luo, Wei Wei, Yumei Liao, Hongyong Deng
2019 A* conf
Constrained Local Graph Clustering by Colored Random Walk.
WWW
Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee, Xiang Zhang
2019 A* conf
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs.
IJCAI
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang
2018 — conf
Local Graph Clustering by Multi-network Random Walk with Restart.
PAKDD (3)
Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Bill Yu, John Yen, Xiang Zhang
2018 A* conf
On Multi-query Local Community Detection.
ICDM
Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang
2018 A* conf
Query Independent Scholarly Article Ranking.
ICDE
Shuai Ma, Chen Gong, Renjun Hu, Dongsheng Luo, Chunming Hu, Jinpeng Huai
2016 J jnl
Ensemble Enabled Weighted PageRank.
CoRR
Dongsheng Luo, Chen Gong, Renjun Hu, Liang Duan, Shuai Ma
2004 — conf
Integrating tonal information into Mandarin name recognition with different strategies.
ISCSLP
Dongsheng Luo, Xiang Xie, Jingming Kuang