Xi Lin
29 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
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Conferences
AAAI (10)
NIPS (7)
ICLR (4)
ICML (4)
IJCAI (2)
CVPR (1)
MICCAI (1)
Top co-authors
Keywords
multi-objective optimization
(8)
multi-task learning
(3)
large language model
(3)
multiobjective optimization
(3)
pareto optimality
(3)
pareto set learning
(3)
online learning
(2)
representation learning
(2)
pareto optimal
(2)
model-based optimization
(2)
pareto set
(2)
contrastive learning
(2)
neural combinatorial optimization
(2)
regret bound
(2)
evolutionary algorithm
(2)
multimodal recommendation
(1)
style transfer
(1)
catastrophic forgetting
(1)
gradient-based optimization
(1)
causal discovery
(1)
Papers
Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization
AAAI 2026
Model-Agnostic Sentiment Distribution Stability Analysis for Robust LLM-Generated Texts Detection
AAAI 2026
Robust Causal Discovery Under Imperfect Structural Constraints
AAAI 2026
CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
AAAI 2026
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning
ICLR 2025
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
ICLR 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
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
AAAI 2025
Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits
AAAI 2025
Multi-Objective Evolution of Heuristic Using Large Language Model
AAAI 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
Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
ICLR 2025
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
NIPS 2024
Gliding over the Pareto Front with Uniform Designs
NIPS 2024
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
NIPS 2024
What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception
AAAI 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
ICML 2024
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
ICML 2024
Prompt Learning for Generalized Vehicle Routing
IJCAI 2024
Continuation Path Learning for Homotopy Optimization
ICML 2023
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
NIPS 2023
Hypervolume Maximization: A Geometric View of Pareto Set Learning
NIPS 2023
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization
ICLR 2022
Pareto Set Learning for Expensive Multi-Objective Optimization
NIPS 2022
Pareto Multi-Task Learning
NIPS 2019