| 2025 | AAAI | Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training. | Yueqing Wang, Peng Zhang, Yushuang Liu, Jianing Zhao, Jie Lin, Yi Chen |
| 2025 | ICML | PEINR: A Physics-enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction. | Liming Shen, Liang Deng, Chongke Bi, Yu Wang, Xinhai Chen, Yueqing Wang, Jie Liu |
| 2024 | AAAI | CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design. | Yanxuan Zhao, Peng Zhang, Guopeng Sun, Zhigong Yang, Jianqiang Chen, Yueqing Wang |
| 2022 | HPCC | Performance Optimization and Analysis of the Unstructured Discontinuous Galerkin Solver on Multi-Core and Many-Core Architectures. | Zhe Dai, Liang Deng, Yueqing Wang, Fang Wang, Ming Li, Jian Zhang |
| 2017 | AAAI | Optimal Neighborhood Kernel Clustering with Multiple Kernels. | Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin |
| 2017 | IJCAI | Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification. | Ruochun Jin, Yong Dou, Yueqing Wang, Xin Niu |
| 2017 | IJCAI | Multiple Kernel Clustering Framework with Improved Kernels. | Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li |
| 2017 | IJCAI | Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network. | Yueqing Wang, Xinwang Liu, Yong Dou, Rongchun Li |
| 2016 | ICIP | Hyperspectral image classification via kernel extreme learning machine using local receptive fields. | Qi Lv, Xin Niu, Yong Dou, Yueqing Wang, Jiaqing Xu, Jie Zhou |
| 2015 | IJCNN | Optimized deep belief networks on CUDA GPUs. | Teng Li, Yong Dou, Jingfei Jiang, Yueqing Wang, Qi Lv |