Dongsheng Luo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
19
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning. | Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir, Farhad Shirani, Dongsheng Luo |
| 2026 | COMPSAC | Enabling Large Language Model Based Data Synthesis in Wireless Mesh Network Configuration for Internet of Things. | Aitian Ma, Jean Marco Cruz, Dongsheng Luo, Mo Sha |
| 2026 | DATA | Enabling Efficient Domain Adaptation via Noise-Enhanced Flow Matching. | Aitian Ma, Dongsheng Luo, Mo Sha |
| 2026 | SAC | MMFNet: Multi-Scale Frequency Masking Neural Network for Time Series Forecasting. | Aitian Ma, Dongsheng Luo, Mo Sha |
| 2025 | ACL | MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation. | 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 | ACL | Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery. | ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni |
| 2025 | DSAA | Reasoning with Knowledge Graphs for Trustworthy Course Recommendation. | Md. Akib Zabed Khan, Dongsheng Luo, Agoritsa Polyzou |
| 2025 | ICLR | F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI. | Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo |
| 2025 | ICML | NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders. | Jun-En Ding, Dongsheng Luo, Chenwei Wu, Feng Liu |
| 2025 | IJCAI | Harnessing Vision Models for Time Series Analysis: A Survey. | Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen |
| 2025 | INFOCOM | A Feasibility Study on Using LoRa Link Characteristics to Predict Ambient Air Temperature. | Aitian Ma, Jean Carlos Tonday Rodriguez, Mo Sha, Dongsheng Luo |
| 2025 | KDD | Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks. | Jiaxing Zhang, Xiaoou Liu, Dongsheng Luo, Hua Wei |
| 2025 | KDD | 3DGraphX: Explaining 3D Molecular Graph Models via Incorporating Chemical Priors. | Xufeng Liu, Dongsheng Luo, Wenhan Gao, Yi Liu |
| 2025 | MOBICOM | Poster: FedFNS: A Robust Federated Learning Method for Data Shift over Unreliable Communication Links. | Zhidu Li, Dongsheng Luo, Qing Xue, Yue Tian, Zhengwei Ni, Mingliang Deng |
| 2025 | WWW | Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach. | Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo |
| 2024 | AAAI | Factorized Explainer for Graph Neural Networks. | Rundong Huang, Farhad Shirani, Dongsheng Luo |
| 2024 | CIKM | Shape-aware Graph Spectral Learning. | Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang |
| 2024 | ICDM | Rank Supervised Contrastive Learning for Time Series Classification. | Qianying Ren, Dongsheng Luo, Dongjin Song |
| 2024 | ICLR | Explaining Time Series via Contrastive and Locally Sparse Perturbations. | Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen |
| 2024 | ICLR | Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. | Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo |
| 2024 | ICLR | Parametric Augmentation for Time Series Contrastive Learning. | Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo |
| 2024 | ICML | Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks. | Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo |
| 2024 | ICML | TimeX++: Learning Time-Series Explanations with Information Bottleneck. | Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo |
| 2024 | KDD | Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. | Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang |
| 2024 | WWW | Breaking the Bot Barrier: Evaluating Adversarial AI Techniques Against Multi-Modal Defense Models. | Behzad Ousat, Dongsheng Luo, Amin Kharraz |
| 2023 | AAAI | Time Series Contrastive Learning with Information-Aware Augmentations. | Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang |
| 2023 | KDD | MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. | Jiaxing Zhang, Dongsheng Luo, Hua Wei |
| 2023 | WSDM | Towards Faithful and Consistent Explanations for Graph Neural Networks. | Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang |
| 2022 | ICDM | Personalized Federated Learning via Heterogeneous Modular Networks. | Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang |
| 2021 | ICDE | A Collective Approach to Scholar Name Disambiguation (Extended Abstract). | Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai |
| 2021 | WSDM | Learning to Drop: Robust Graph Neural Network via Topological Denoising. | Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang |
| 2021 | SDM | Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. | Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang |
| 2020 | KDD | Local Community Detection in Multiple Networks. | Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang |
| 2020 | WSDM | Deep Multi-Graph Clustering via Attentive Cross-Graph Association. | Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Bill Yu, Xiang Zhang |
| 2019 | ICDM | Adaptive Neural Network for Node Classification in Dynamic Networks. | Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang |
| 2019 | IJCAI | Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. | Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang |
| 2019 | WWW | Constrained Local Graph Clustering by Colored Random Walk. | Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee, Xiang Zhang |
| 2018 | ICDE | Query Independent Scholarly Article Ranking. | Shuai Ma, Chen Gong, Renjun Hu, Dongsheng Luo, Chunming Hu, Jinpeng Huai |
| 2018 | ICDM | On Multi-query Local Community Detection. | Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang |
| 2018 | PAKDD | Local Graph Clustering by Multi-network Random Walk with Restart. | Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Bill Yu, John Yen, Xiang Zhang |