Xiaolin Zheng

DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning AAAI 2026 Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm AAAI 2026 TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domains AAAI 2026 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 LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning AAAI 2025 ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction AAAI 2024 Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward AAAI 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 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 Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow IJCAI 2023 Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective AAAI 2023 PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation AAAI 2023 Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering ACL 2023 Spotlight News Driven Quantitative Trading Based on Trajectory Optimization IJCAI 2023 UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition NeurIPS 2023 A Smart Trader for Portfolio Management based on Normalizing Flows IJCAI 2022 HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation IJCAI 2022 Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification IJCAI 2022 An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets IJCAI 2021 Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation EMNLP 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 Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit IJCAI 2020 Modeling Dynamic Missingness of Implicit Feedback for Recommendation NeurIPS 2018 Recurrent Collaborative Filtering for Unifying General and Sequential Recommender IJCAI 2018