Xi Lin

Beyond Myopic Alignment: Lookahead Optimization for Online Class-Incremental Learning CVPR 2026 CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models AAAI 2026 Few-for-Many Personalized Federated Learning CVPR 2026 Learning from Noisy Supervision: A Denoising-Debiasing Framework for Weakly Supervised Video Anomaly Detection CVPR 2026 Model-Agnostic Sentiment Distribution Stability Analysis for Robust LLM-Generated Texts Detection AAAI 2026 Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization AAAI 2026 Robust Causal Discovery Under Imperfect Structural Constraints AAAI 2026 Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems ICLR 2025 Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization ICLR 2025 IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning ICLR 2025 MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework CVPR 2025 Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification MICCAI 2025 Multi-Objective Evolution of Heuristic Using Large Language Model AAAI 2025 Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits AAAI 2025 Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off AAAI 2025 Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions IJCAI 2025 Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction AAAI 2025 Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation AAAI 2025 Stable Fair Graph Representation Learning with Lipschitz Constraint ICML 2025 Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model ICML 2024 Gliding over the Pareto Front with Uniform Designs NeurIPS 2024 LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch NeurIPS 2024 Prompt Learning for Generalized Vehicle Routing IJCAI 2024 Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer NeurIPS 2024 Smooth Tchebycheff Scalarization for Multi-Objective Optimization ICML 2024 What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception AAAI 2024 Continuation Path Learning for Homotopy Optimization ICML 2023 Hypervolume Maximization: A Geometric View of Pareto Set Learning NeurIPS 2023 Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization NeurIPS 2023 Pareto Set Learning for Expensive Multi-Objective Optimization NeurIPS 2022 Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization ICLR 2022 Pareto Multi-Task Learning NeurIPS 2019