Chaochao Chen

FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training AAAI 2026 Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm AAAI 2026 Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning AAAI 2026 TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models AAAI 2026 Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025 Controllable Unlearning for Image-to-Image Generative Models via ε-Constrained Optimization ICLR 2025 DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025 Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization ICML 2025 FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation AAAI 2025 FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models ICML 2025 Heterogeneous Temporal Hypergraph Neural Network IJCAI 2025 LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning AAAI 2025 Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation AAAI 2025 CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence NeurIPS 2024 Federated Graph Learning for Cross-Domain Recommendation NeurIPS 2024 Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024 FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection NeurIPS 2024 Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems AAAI 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment ICML 2024 Protecting Split Learning by Potential Energy Loss IJCAI 2024 Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation ICML 2024 Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data CVPR 2024 UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training NeurIPS 2024 Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation IJCAI 2023 HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning IJCAI 2023 PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation AAAI 2023 Reducing Communication for Split Learning by Randomized Top-k Sparsification IJCAI 2023 Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering ACL 2023 SQLFlow: An Extensible Toolkit Integrating DB and AI JMLR 2023 UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition NeurIPS 2023 HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation IJCAI 2022 MERIT: Learning Multi-level Representations on Temporal Graphs IJCAI 2022 Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification IJCAI 2022 Cross-Domain Recommendation: Challenges, Progress, and Prospects IJCAI 2021 Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation NeurIPS 2021 Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation NeurIPS 2021 A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation IJCAI 2020 Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020 Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection NeurIPS 2019 GeniePath: Graph Neural Networks with Adaptive Receptive Paths AAAI 2019 A Deep Framework for Cross-Domain and Cross-System Recommendations IJCAI 2018