Guodong Long

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 246

Top Venues

Publications

Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. WWW (2024)
Zhiwei Li, Guodong Long, Tianyi Zhou
Federated Recommendation with Additive Personalization. ICLR (2024)
Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
Federated Adaptation for Foundation Model-based Recommendations. CoRR (2024)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
Dyformer: A dynamic transformer-based architecture for multivariate time series classification. Inf. Sci. 656 (2024)
Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning. CoRR (2024)
Yiyuan Yang, Guodong Long, Michael Blumenstein, Xiubo Geng, Chongyang Tao, Tao Shen, Daxin Jiang
Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment. LREC/COLING (2024)
Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang
Synergistic Interplay between Search and Large Language Models for Information Retrieval. ACL (1) (2024)
Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
Exploring explicit and implicit graph learning for multivariate time series imputation. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Peng Yan, Guodong Long, Jing Jiang, Michael Blumenstein
Personalized Interpretation on Federated Learning: A Virtual Concepts approach. CoRR (2024)
Zhiwei Li, Guodong Long
Navigating the Future of Federated Recommendation Systems with Foundation Models. CoRR (2024)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
GPFedRec: Graph-Guided Personalization for Federated Recommendation. KDD (2024)
Yiyuan Yang, Guodong Long, Tao Shen, Jing Jiang, Michael Blumenstein
Dual-Personalizing Adapter for Federated Foundation Models. CoRR (2024)
Yang Li, Canran Xu, Guodong Long, Tao Shen, Chongyang Tao, Jing Jiang
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification. EACL (1) (2024)
Peng Yan, Guodong Long
Client-supervised Federated Learning: Towards One-model-for-all Personalization. CoRR (2024)
Irwin King, Guodong Long, Zenglin Xu, Han Yu
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. WWW (Companion Volume) (2024)
Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models. CoRR (2024)
Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang
Fine-Grained Distillation for Long Document Retrieval. AAAI (2024)
Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever. ACL (Findings) (2024)
Shutong Chen, Tianyi Zhou, Guodong Long, Jie Ma, Jing Jiang, Chengqi Zhang
Multi-Level Additive Modeling for Structured Non-IID Federated Learning. CoRR (2024)
Xiaojun Chen, Ting Liu, Philippe Fournier-Viger, Bowen Zhang, Guodong Long, Qin Zhang
A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models. Knowl. Based Syst. 299 (2024)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Does Continual Learning Equally Forget All Parameters? CoRR (2023)
Yang Wang, Xueping Peng, Tao Shen, Allison Clarke, Clement Schlegel, Paul Martin, Guodong Long
Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding. ADMA (3) (2023)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. ADMA (1) (2023)
Jianan Yang, Guodong Long
Concept-Guided Interpretable Federated Learning. AI (2) (2023)
Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jianguang Lou
Re-Reading Improves Reasoning in Language Models. CoRR (2023)
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Shuang Ao, Tianyi Zhou, Guodong Long, Xuan Song, Jing Jiang
Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution. CoRR (2023)
Shengchao Chen, Guodong Long, Jing Jiang, Dikai Liu, Chengqi Zhang
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey. CoRR (2023)
Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. AAAI (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Bo Yang
Graph-guided Personalization for Federated Recommendation. CoRR (2023)
Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. IJCAI (2023)
Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
Causal Reinforcement Learning: A Survey. CoRR (2023)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
Attentional Gated Res2Net for Multivariate Time Series Classification. Neural Process. Lett. 55 (2) (2023)
Peng Yan, Guodong Long
Personalization Disentanglement for Federated Learning. CoRR (2023)
Yucheng Zhou, Guodong Long
Improving Cross-modal Alignment for Text-Guided Image Inpainting. CoRR (2023)
Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang
Causal Reinforcement Learning: A Survey. Trans. Mach. Learn. Res. 2023 (2023)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. CoRR (2023)
Haiyan Zhao, Guodong Long
One-Shot Pruning for Fast-adapting Pre-trained Models on Devices. CoRR (2023)
Yucheng Zhou, Guodong Long
Multimodal Event Transformer for Image-guided Story Ending Generation. CoRR (2023)
Shengchao Chen, Guodong Long, Tao Shen, Tianyi Zhou, Jing Jiang
Spatial-temporal Prompt Learning for Federated Weather Forecasting. CoRR (2023)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Does Continual Learning Equally Forget All Parameters? ICML (2023)
Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang
UnifieR: A Unified Retriever for Large-Scale Retrieval. KDD (2023)
Leah Gerrard, Xueping Peng, Allison Clarke, Guodong Long
Multi-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data. ADMA (3) (2023)
Yucheng Zhou, Guodong Long
Style-Aware Contrastive Learning for Multi-Style Image Captioning. EACL (Findings) (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
Dual Personalization on Federated Recommendation. IJCAI (2023)
Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang
Knowledge Refinement via Interaction Between Search Engines and Large Language Models. CoRR (2023)
Yucheng Zhou, Guodong Long
Improving Cross-modal Alignment for Text-Guided Image Inpainting. EACL (2023)
Zhiwei Li, Guodong Long, Tianyi Zhou
Federated Recommendation with Additive Personalization. CoRR (2023)
Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi
Continual Task Allocation in Meta-Policy Network via Sparse Prompting. CoRR (2023)
Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. CoRR (2023)
Weikuan Wang, Tao Shen, Michael Blumenstein, Guodong Long
Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation. ADMA (5) (2023)
Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang
Towards Robust Ranker for Text Retrieval. ACL (Findings) (2023)
Guodong Long, Ming Xie, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang
Multi-center federated learning: clients clustering for better personalization. World Wide Web (WWW) 26 (1) (2023)
Yucheng Zhou, Guodong Long
Style-Aware Contrastive Learning for Multi-Style Image Captioning. CoRR (2023)
Jie Ma, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Structured Federated Learning through Clustered Additive Modeling. NeurIPS (2023)
Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
Improving the Robustness of Summarization Systems with Dual Augmentation. ACL (1) (2023)
Yiqiang Chen, Wuliang Huang, Xinlong Jiang, Teng Zhang, Yi Wang, Bingjie Yan, Zhirui Wang, Qian Chen, Yunbing Xing, Dong Li, Guodong Long
UbiMeta: A Ubiquitous Operating System Model for Metaverse. Int. J. Crowd Sci. 7 (4) (2023)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. ECML/PKDD (2) (2023)
Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Tianyi Zhou, Daxin Jiang
Large Language Models are Strong Zero-Shot Retriever. CoRR (2023)
Yucheng Zhou, Xiubo Geng, Tao Shen, Chongyang Tao, Guodong Long, Jian-Guang Lou, Jianbing Shen
Thread of Thought Unraveling Chaotic Contexts. CoRR (2023)
Peng Yan, Guodong Long
Personalization Disentanglement for Federated Learning. ICME (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
Dual Personalization on Federated Recommendation. CoRR (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang
IFedRec: Item-Guided Federated Aggregation for Cold-Start. CoRR (2023)
Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning. NeurIPS (2023)
Wensi Tang, Guodong Long
WeightRelay: Efficient Heterogeneous Federated Learning on Time Series. AI (1) (2023)
Yucheng Zhou, Guodong Long
Multimodal Event Transformer for Image-guided Story Ending Generation. EACL (2023)
Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
Improving the Robustness of Summarization Systems with Dual Augmentation. CoRR (2023)
Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi
Continual Task Allocation in Meta-Policy Network via Sparse Prompting. ICML (2023)
Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu
Neural Time Series Analysis with Fourier Transform: A Survey. CoRR (2023)
Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. CoRR (2022)
Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. ACL (1) (2022)
Chenglin Wang, Yucheng Zhou, Guodong Long, Xiaodong Wang, Xiaowei Xu
Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI. CoRR (2022)
Qi Cheng, Guodong Long
Federated Learning Operations (FLOps): Challenges, Lifecycle and Approaches. TAAI (2022)
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
FedProto: Federated Prototype Learning across Heterogeneous Clients. AAAI (2022)
Zhuowei Wang, Jing Jiang, Guodong Long
Positive Unlabeled Learning by Semi-Supervised Learning. ICIP (2022)
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Chun Wang, Shirui Pan, Celina Ping Yu, Ruiqi Hu, Guodong Long, Chengqi Zhang
Deep neighbor-aware embedding for node clustering in attributed graphs. Pattern Recognit. 122 (2022)
Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022)
Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang
Towards Robust Ranker for Text Retrieval. CoRR (2022)
Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. ICML (2022)
Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Guodong Long, Can Xu, Daxin Jiang
Fine-Grained Distillation for Long Document Retrieval. CoRR (2022)
Zhuowei Wang, Guodong Long
Positive Unlabeled Learning by Sample Selection and Prototype Refinement. ADMA (1) (2022)
Ming Xie, Jie Ma, Guodong Long, Chengqi Zhang
Robust Clustered Federated Learning with Bootstrap Median-of-Means. APWeb/WAIM (1) (2022)
Yang Li, Canran Xu, Tao Shen, Jing Jiang, Guodong Long
CCPrompt: Counterfactual Contrastive Prompt-Tuning for Many-Class Classification. CoRR (2022)
Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang
EventBERT: A Pre-Trained Model for Event Correlation Reasoning. WWW (2022)
Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR (2022)
Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. NeurIPS (2022)
Jie Ma, Ming Xie, Guodong Long
Personalized Federated Learning with Robust Clustering Against Model Poisoning. ADMA (2) (2022)
Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
Personalized Federated Learning With Structure. CoRR (2022)
Zhuowei Wang, Tianyi Zhou, Guodong Long, Bo Han, Jing Jiang
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels. CoRR (2022)
Hao Huang, Xiubo Geng, Guodong Long, Daxin Jiang
Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding. NAACL-HLT (2022)
Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. CoRR (2022)
Jie Ma, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang
On the Convergence of Clustered Federated Learning. CoRR (2022)
Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
Personalized Federated Learning With a Graph. IJCAI (2022)
Yang Li, Guodong Long, Tao Shen, Jing Jiang
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision. NAACL-HLT (Findings) (2022)
Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu
Adaptive Graph Recurrent Network for Multivariate Time Series Imputation. ICONIP (5) (2022)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Extracting Local Reasoning Chains of Deep Neural Networks. Trans. Mach. Learn. Res. 2022 (2022)
Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification. ICLR (2022)
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
Attentional Gated Res2net for Multivariate Time Series Classification. ICASSP (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guodong Long