← Authors

Guodong Long

73 papers · 2018–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (7) 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (17) 🀝 Dynamic Duo (38) πŸ‘‘ Triple Crown πŸ† Keyword Champion (3) πŸ† Grand Slam πŸ”¬ Deep Specialist (20) πŸš€ Conference Pioneer ⚑ Prolific Year (9) πŸ”₯ Unstoppable (8) ❓ The Questioner (3) πŸ’Ž Century Club (70) πŸ—ƒοΈ Keyword Collector (292)

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

Jing Jiang (41) Chengqi Zhang (29) Tao Shen (24) Tianyi Zhou (24) Daxin Jiang (12) Xiubo Geng (12) LU LIU (8) Chongyang Tao (8) Lina Yao (8) Qinghua Lu (7)

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