Long, Guodong

63 publications

CVPR 2025 DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models Haoyang Li, Liang Wang, Chao Wang, Jing Jiang, Yan Peng, Guodong Long

IJCAI 2025 Distilling a Universal Expert from Clustered Federated Learning Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang

NeurIPS 2025 FedFree: Breaking Knowledge-Sharing Barriers Through Layer-Wise Alignment in Heterogeneous Federated Learning Haizhou Du, Yiran Xiang, Yiwen Cai, Xiufeng Liu, Zonghan Wu, Huan Huo, Guodong Long

AAAI 2025 Federated Foundation Models on Heterogeneous Time Series Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang

IJCAI 2025 Federated Low-Rank Adaptation for Foundation Models: A Survey Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang

AAAI 2025 Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang

AAAI 2025 Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang

NeurIPS 2025 WALL-E: World Alignment by NeuroSymbolic Learning Improves World Model-Based LLM Agents Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang

IJCAI 2024 BADFSS: Backdoor Attacks on Federated Self-Supervised Learning Jiale Zhang, Chengcheng Zhu, Di Wu, Xiaobing Sun, Jianming Yong, Guodong Long

ECML-PKDD 2024 Boosting Patient Representation Learning via Graph Contrastive Learning Zhenhao Zhang, Yuxi Liu, Jiang Bian, Antonio Jimeno-Yepes, Jun Shen, Fuyi Li, Guodong Long, Flora D. Salim

NeurIPS 2024 Dual-Personalizing Adapter for Federated Foundation Models Yiyuan Yang, Guodong Long, Tao Shen, Jing Jiang, Michael Blumenstein

IJCAI 2024 Federated Adaptation for Foundation Model-Based Recommendations Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang

IJCAI 2024 Federated Prompt Learning for Weather Foundation Models on Devices Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang

ICLR 2024 Federated Recommendation with Additive Personalization Zhiwei Li, Guodong Long, Tianyi Zhou

AAAI 2024 Fine-Grained Distillation for Long Document Retrieval Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang

NeurIPS 2024 Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang

IJCAI 2024 The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence Guodong Long

IJCAI 2024 What Hides Behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang

TMLR 2023 Causal Reinforcement Learning: A Survey Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang

ICML 2023 Continual Task Allocation in Meta-Policy Network via Sparse Prompting Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi

ICML 2023 Does Continual Learning Equally Forget All Parameters? Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

IJCAI 2023 Dual Personalization on Federated Recommendation Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang

AAAI 2023 Federated Learning on Non-IID Graphs via Structural Knowledge Sharing Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang

NeurIPS 2023 Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long

IJCAI 2023 Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang

NeurIPS 2023 Structured Federated Learning Through Clustered Additive Modeling Jie Ma, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

ECML-PKDD 2023 Voting from Nearest Tasks: Meta-Vote Pruning of Pre-Trained Models for Downstream Tasks Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

ICML 2022 EAT-C: Environment-Adversarial Sub-Task Curriculum for Efficient Reinforcement Learning Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang

TMLR 2022 Extracting Local Reasoning Chains of Deep Neural Networks Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

AAAI 2022 FedProto: Federated Prototype Learning Across Heterogeneous Clients Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang

NeurIPS 2022 Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang

ICMLW 2022 Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang

ICLR 2022 Omni-Scale CNNs: A Simple and Effective Kernel Size Configuration for Time Series Classification Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang

IJCAI 2022 Personalized Federated Learning with a Graph Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang

TMLR 2022 SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long

ICMLW 2022 Vote for Nearest Neighbors Meta-Pruning of Self-Supervised Networks Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

ICLR 2021 A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle

NeurIPS 2021 CO-PILOT: COllaborative Planning and reInforcement Learning on Sub-Task Curriculum Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang

ICLR 2021 Isometric Propagation Network for Generalized Zero-Shot Learning Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang

AAAI 2021 Task Aligned Generative Meta-Learning for Zero-Shot Learning Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long

AAAI 2020 Attribute Propagation Network for Graph Zero-Shot Learning Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

ECML-PKDD 2020 Confusable Learning for Large-Class Few-Shot Classification Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long

NeurIPS 2020 Cooperative Heterogeneous Deep Reinforcement Learning Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang

IJCAI 2020 Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang

AAAI 2020 Going Deep: Graph Convolutional Ladder-Shape Networks Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang

AAAI 2020 One-Shot Learning for Long-Tail Visual Relation Detection Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen

ECML-PKDD 2020 Self-Attention Enhanced Patient Journey Understanding in Healthcare System Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

AAAI 2020 Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang

IJCAI 2019 Attributed Graph Clustering: A Deep Attentional Embedding Approach Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang

AAAI 2019 Distributionally Robust Semi-Supervised Learning for People-Centric Sensing Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang

IJCAI 2019 Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang

NeurIPS 2019 Learning to Propagate for Graph Meta-Learning Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

IJCAI 2019 Prototype Propagation Networks (PPN) for Weakly-Supervised Few-Shot Learning on Category Graph Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang

IJCAI 2018 Adversarially Regularized Graph Autoencoder for Graph Embedding Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang

ICLR 2018 Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

AAAI 2018 DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang

IJCAI 2018 Multi-Modality Sensor Data Classification with Selective Attention Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang

IJCAI 2018 NeuRec: On Nonlinear Transformation for Personalized Ranking Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong

IJCAI 2018 Reinforced Self-Attention Network: A Hybrid of Hard and Soft Attention for Sequence Modeling Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang

AAAI 2018 Trace Ratio Optimization with Feature Correlation Mining for Multiclass Discriminant Analysis Forough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long

AAAI 2016 Dynamic Concept Composition for Zero-Example Event Detection Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann

AAAI 2016 Robust Semi-Supervised Learning Through Label Aggregation Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang

AAAI 2015 Coupled Collaborative Filtering for Context-Aware Recommendation Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long