Jing Jiang

Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach AAAI 2026 FedMerge: Federated Model Merging for Personalization AAAI 2026 Federated Vision-Language-Recommendation with Personalized Fusion AAAI 2026 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 Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach AAAI 2025 CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification EACL 2024 Dual-Personalizing Adapter for Federated Foundation Models NeurIPS 2024 Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld CVPR 2024 Federated Prompt Learning for Weather Foundation Models on Devices IJCAI 2024 Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NeurIPS 2024 What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning IJCAI 2024 Adaptive Policy Learning for Offline-to-Online Reinforcement Learning AAAI 2023 Continual Task Allocation in Meta-Policy Network via Sparse Prompting ICML 2023 Does Continual Learning Equally Forget All Parameters? ICML 2023 Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023 Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data IJCAI 2023 Structured Federated Learning through Clustered Additive Modeling NeurIPS 2023 Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective NeurIPS 2023 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 NeurIPS 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 Pareto Policy Pool for Model-based Offline Reinforcement Learning ICLR 2022 Personalized Federated Learning With a Graph IJCAI 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 Isometric Propagation Network for Generalized Zero-shot Learning ICLR 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 Going Deep: Graph Convolutional Ladder-Shape Networks AAAI 2020 Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention COLING 2020 MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler NeurIPS 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 Graph WaveNet for Deep Spatial-Temporal Graph Modeling IJCAI 2019 Learning to Propagate for Graph Meta-Learning NeurIPS 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 Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling IJCAI 2018 Hashtag Recommendation with Topical Attention-Based LSTM COLING 2016