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Guodong Long

72 papers · 2018–2026 · 11 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (109) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (21) 🀝 Dynamic Duo (41) 🧬 Topic Evolution 🧭 Keyword Pioneer πŸ‘‘ Triple Crown πŸ† Grand Slam πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (3) ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Silver 🌈 Renaissance Researcher (7) πŸ—ƒοΈ Keyword Collector (310)

Papers

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