Guodong Long
73 papers · 2018–2026 · 12 conferences · across top CS/AI conferences
Achievements
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Dynamic Duo
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(3)
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(20)
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The Questioner
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Keyword Collector
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Conferences
IJCAI (18)
AAAI (15)
NIPS (8)
ACL (6)
EMNLP (5)
ICLR (5)
EACL (4)
COLING (3)
ICML (3)
NAACL (3)
IJCNLP (2)
CVPR (1)
Top co-authors
Keywords
federated learning
(20)
contrastive learning
(10)
graph neural network
(8)
foundation model
(8)
representation learning
(6)
domain adaptation
(6)
zero-shot learning
(4)
non-iid datum
(4)
recommendation system
(4)
large language model
(4)
few-shot learning
(4)
time series
(3)
prototype learning
(3)
knowledge graph
(3)
heterogeneous datum
(3)
information retrieval
(3)
relation extraction
(3)
semantic parsing
(3)
adversarial training
(3)
transfer learning
(3)
Papers
FedMerge: Federated Model Merging for Personalization
AAAI 2026
Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach
AAAI 2026
Federated Vision-Language-Recommendation with Personalized Fusion
AAAI 2026
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
AAAI 2025
Federated Foundation Models on Heterogeneous Time Series
AAAI 2025
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
AAAI 2025
DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models
CVPR 2025
Distilling A Universal Expert from Clustered Federated Learning
IJCAI 2025
Federated Low-Rank Adaptation for Foundation Models: A Survey
IJCAI 2025
Federated Recommendation with Additive Personalization
ICLR 2024
Dual-Personalizing Adapter for Federated Foundation Models
NIPS 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
NIPS 2024
Fine-Grained Distillation for Long Document Retrieval
AAAI 2024
Synergistic Interplay between Search and Large Language Models for Information Retrieval
ACL 2024
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever
ACL 2024
The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence
IJCAI 2024
Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment
COLING 2024
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification
EACL 2024
Federated Prompt Learning for Weather Foundation Models on Devices
IJCAI 2024
Federated Adaptation for Foundation Model-based Recommendations
IJCAI 2024
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
IJCAI 2024
Re-Reading Improves Reasoning in Large Language Models
EMNLP 2024
Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information
EMNLP 2024
BADFSS: Backdoor Attacks on Federated Self-Supervised Learning
IJCAI 2024
Structured Federated Learning through Clustered Additive Modeling
NIPS 2023
Multimodal Event Transformer for Image-guided Story Ending Generation
EACL 2023
Improving Cross-modal Alignment for Text-Guided Image Inpainting
EACL 2023
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
AAAI 2023
Style-Aware Contrastive Learning for Multi-Style Image Captioning
EACL 2023
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
IJCAI 2023
Dual Personalization on Federated Recommendation
IJCAI 2023
Improving the Robustness of Summarization Systems with Dual Augmentation
ACL 2023
Towards Robust Ranker for Text Retrieval
ACL 2023
Does Continual Learning Equally Forget All Parameters?
ICML 2023
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning
NIPS 2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
ICML 2023
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
ICLR 2022
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision
NAACL 2022
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
ICML 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients
AAAI 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
NIPS 2022
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification
ACL 2022
Personalized Federated Learning With a Graph
IJCAI 2022
Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding
NAACL 2022
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction
EMNLP 2021
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum
NIPS 2021
Task Aligned Generative Meta-learning for Zero-shot Learning
AAAI 2021
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding
ACL 2021
A Universal Representation Transformer Layer for Few-Shot Image Classification
ICLR 2021
Isometric Propagation Network for Generalized Zero-shot Learning
ICLR 2021
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding
IJCNLP 2021
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
EMNLP 2020
Going Deep: Graph Convolutional Ladder-Shape Networks
AAAI 2020
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention
COLING 2020
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion
COLING 2020
One-Shot Learning for Long-Tail Visual Relation Detection
AAAI 2020
Attribute Propagation Network for Graph Zero-Shot Learning
AAAI 2020
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction
AAAI 2020
Cooperative Heterogeneous Deep Reinforcement Learning
NIPS 2020
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering
IJCAI 2020
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
IJCAI 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
IJCAI 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach
IJCAI 2019
Learning to Propagate for Graph Meta-Learning
NIPS 2019
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
EMNLP 2019
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
IJCNLP 2019
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together
NAACL 2019
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
AAAI 2019
Adversarially Regularized Graph Autoencoder for Graph Embedding
IJCAI 2018
Multi-modality Sensor Data Classification with Selective Attention
IJCAI 2018
NeuRec: On Nonlinear Transformation for Personalized Ranking
IJCAI 2018
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling
ICLR 2018
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
IJCAI 2018