Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning. - Jingyan Sui; Shizhe Ding; Ruizhi Liu; Liming Xu; Dongbo Bu (ACML, 2021)

NIERT: Accurate Numerical Interpolation through Unifying Scattered Data Representations using Transformer Encoder. - Shizhe Ding; Dongbo Bu (CoRR, 2022)

Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement. - Shizhe Ding; Boyang Xia; Dongbo Bu (NeurIPS, 2023)

Accurate Interpolation of Scattered Data Via Learning Relation Graph. - Shizhe Ding; Boyang Xia; Jingyan Sui; Dongbo Bu (ICASSP, 2024)

Multilevel Temporal-Spectral Fusion Network for Multivariate Time Series Classification. - Xulin Huang; Shizhe Ding; Xinru Zhang; Jingyan Sui; Yue Yu; Dongbo Bu (IJCNN, 2024)

NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design. - Ruizhi Liu; Zhisheng Zeng; Shizhe Ding; Jingyan Sui; Xingquan Li; Dongbo Bu (NeurIPS, 2024)

NeuralGLS: learning to guide local search with graph convolutional network for the traveling salesman problem. - Jingyan Sui; Shizhe Ding; Boyang Xia; Ruizhi Liu; Dongbo Bu (Neural Comput. Appl., 2024)

NIERT: Accurate Numerical Interpolation Through Unifying Scattered Data Representations Using Transformer Encoder. - Shizhe Ding; Boyang Xia; Milong Ren; Dongbo Bu (IEEE Trans. Knowl. Data Eng., 2024)

A survey on deep learning-based algorithms for the traveling salesman problem. - Jingyan Sui; Shizhe Ding; Xulin Huang; Yue Yu; Ruizhi Liu; Boyang Xia; Zhenxin Ding; Liming Xu; Haicang Zhang; Chungong Yu; Dongbo Bu (Frontiers Comput. Sci., 2025)