Lin, Xi

28 publications

ICLR 2025 Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Tong Xialiang, Mingxuan Yuan, Qingfu Zhang

ICLR 2025 Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang

NeurIPS 2025 Gradient-Guided Epsilon Constraint Method for Online Continual Learning Song Lai, Changyi Ma, Fei Zhu, Zhe Zhao, Xi Lin, Gaofeng Meng, Qingfu Zhang

ICLR 2025 IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning Quan Zhang, Yuxin Qi, Xi Tang, Jinwei Fang, Xi Lin, Ke Zhang, Chun Yuan

NeurIPS 2025 Learning to Insert for Constructive Neural Vehicle Routing Solver Fu Luo, Xi Lin, Mengyuan Zhong, Fei Liu, Zhenkun Wang, Jianyong Sun, Qingfu Zhang

CVPR 2025 MOS-Attack: A Scalable Multi-Objective Adversarial Attack Framework Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang

AAAI 2025 Multi-Objective Evolution of Heuristic Using Large Language Model Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang

AAAI 2025 Multiple Trade-Offs: An Improved Approach for Lexicographic Linear Bandits Bo Xue, Xi Lin, Xiaoyuan Zhang, Qingfu Zhang

NeurIPS 2025 Neural Evolution Strategy for Black-Box Pareto Set Learning Chengyu Lu, Zhenhua Li, Xi Lin, Ji Cheng, Qingfu Zhang

AAAI 2025 Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-Off Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng

IJCAI 2025 Problem-Dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions Bo Xue, Xi Lin, Yuanyu Wan, Qingfu Zhang

AAAI 2025 Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction Quan Zhang, Yuxin Qi, Xi Tang, Rui Yuan, Xi Lin, Ke Zhang, Chun Yuan

AAAI 2025 Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation Yuxin Qi, Quan Zhang, Xi Lin, Xiu Su, Jiani Zhu, Jingyu Wang, Jianhua Li

ICML 2025 Stable Fair Graph Representation Learning with Lipschitz Constraint Qiang Chen, Zhongze Wu, Xiu Su, Xi Lin, Zhe Qu, Shan You, Shuo Yang, Chang Xu

NeurIPS 2025 TS-MOF: Two-Stage Multi-Objective Fine-Tuning for Long-Tailed Recognition Zhe Zhao, Zhiheng Gong, Pengkun Wang, HaiBin Wen, Cankun Guo, Bo Xue, Xi Lin, Zhenkun Wang, Qingfu Zhang, Yang Wang

ICML 2024 Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model Fei Liu, Tong Xialiang, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang

NeurIPS 2024 Gliding over the Pareto Front with Uniform Designs Xiaoyuan Zhang, Genghui Li, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang

NeurIPS 2024 LibMOON: A Gradient-Based MultiObjective OptimizatioN Library in PyTorch Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Yifan Chen, Han Zhao, Qingfu Zhang

IJCAI 2024 Prompt Learning for Generalized Vehicle Routing Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan

NeurIPS 2024 Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian

ICML 2024 Smooth Tchebycheff Scalarization for Multi-Objective Optimization Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang

AAAI 2024 What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception Wanfang Su, Lixing Chen, Yang Bai, Xi Lin, Gaolei Li, Zhe Qu, Pan Zhou

ICML 2023 Continuation Path Learning for Homotopy Optimization Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang

NeurIPS 2023 Hypervolume Maximization: A Geometric View of Pareto Set Learning Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang

NeurIPS 2023 Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang

NeurIPS 2022 Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang

ICLR 2022 Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization Xi Lin, Zhiyuan Yang, Qingfu Zhang

NeurIPS 2019 Pareto Multi-Task Learning Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qing-Fu Zhang, Sam Kwong