Jin, Yan

11 publications

AAAI 2025 DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-Scale Traveling Salesman Problem Shipei Zhou, Yuandong Ding, Chi Zhang, Zhiguang Cao, Yan Jin

IJCAI 2025 NS4S: Neighborhood Search for Scheduling Problems via Large Language Models Junjie Zhang, Canhui Luo, Zhouxing Su, Qingyun Zhang, Zhipeng Lü, Junwen Ding, Yan Jin

IJCAI 2024 Dynamically Anchored Prompting for Task-Imbalanced Continual Learning Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li, Yang Lu, Hanzi Wang

IJCAI 2024 ReinforceNS: Reinforcement Learning-Based Multi-Start Neighborhood Search for Solving the Traveling Thief Problem Tao Wu, Huachao Cui, Tao Guan, Yuesong Wang, Yan Jin

AAAI 2023 H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian

CVPR 2023 Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation Yan Jin, Mengke Li, Yang Lu, Yiu-ming Cheung, Hanzi Wang

AAAI 2023 Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian

IJCAI 2022 BandMaxSAT: A Local Search MaxSAT Solver with Multi-Armed Bandit Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li, Felip Manyà

AAAI 2021 Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li

AAAI 2020 Enumerating Maximal K-Plexes with Worst-Case Time Guarantee Yi Zhou, Jingwei Xu, Zhenyu Guo, Mingyu Xiao, Yan Jin

AAAI 2018 Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang