conftrace_

Guodong Long

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

Achievements

Jump to papers ↓
+14 more ↓ πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird
🌈 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)

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