| 2026 | AAAI | Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation. | Jing Xiao, Xinhai Chen, Jiaming Peng, Jie Liu |
| 2026 | ICS | Block-Aware Adaptive State Management for Optimistic Parallel Discrete Event Simulation. | Xing Peng, Qinglin Wang, Gencheng Liu, Chuhe Hong, Rui Xia, Zhigang Sun, Xinhai Chen, Qingyang Zhang, Jie Liu |
| 2026 | ICS | THAC: Unlocking Performance in Parallel HPC Applications via UQ-Aware Automated Approximation. | Zhenhao Zhao, Qinglin Wang, Bo Yang, Xinhai Chen, Jie Liu, Binglin Wang |
| 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 |
| 2025 | ICPP | VES: Vectorized Sparse General Matrix-Matrix Multiplication on Multi-Core DSPs. | Chuhe Hong, Qinglin Wang, Xing Peng, Gencheng Liu, Qingyang Zhang, Xinhai Chen, Jie Liu |
| 2025 | IJCNN | Spatio-Temporal Prediction of Two-Phase Flow in Heterogeneous Reservoirs Using Deep Neural Networks. | Weifeng Chen, Xinhai Chen, Qisong Xiao, Haijian Yang, Jiali Tu, Jie Liu |
| 2025 | IJCNN | Informative Discrimination Network for Efficient Single Image Super-Resolution. | Yuzheng Tu, Xinhai Chen, Chunye Gong, Jie Liu, Bo Yang, Xiang Gao, Xiang Zhang |
| 2025 | IJCNN | Dual-Spectral Neural Operator for Solving Partial Differential Equations. | Jing Xiao, Xinhai Chen, Rui Xia, Jie Liu |
| 2025 | ICS | IA-Chol: Input-Aware Cholesky Decomposition on CPU and GPU. | Jixiao Deng, Qinglin Wang, Lin Chen, Tun Li, Bo Yang, Xinhai Chen, Jie Liu |
| 2024 | ICPP | SuperCSR: A Space-Time-Efficient CSR Representation for Large-scale Graph Applications on Supercomputers. | Xinbiao Gan, Tiejun Li, Qiang Zhang, Bo Yang, Xinhai Chen, Jie Liu |
| 2024 | WWW | More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning. | Zhipeng Ma, Zheyan Tu, Xinhai Chen, Yan Zhang, Deguo Xia, Guyue Zhou, Yilun Chen, Yu Zheng, Jiangtao Gong |
| 2023 | IJCNN | ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations. | Junjun Yan, Xinhai Chen, Zhichao Wang, Enqiang Zhou, Jie Liu |
| 2023 | QRS | Modelling and Verification of Cooperative Vehicle Infrastructure System at Intersections Based on Timed Automata. | Xinhai Chen, Wei Liu, Chang Rao, Yu Zhang, Wanling Du |
| 2022 | NPC | CSR&RV: An Efficient Value Compression Format for Sparse Matrix-Vector Multiplication. | Junjun Yan, Xinhai Chen, Jie Liu |
| 2022 | PDCAT | Improving the Performance of Lattice Boltzmann Method with Pipelined Algorithm on A Heterogeneous Multi-zone Processor. | Qingyang Zhang, Lei Xu, Rongliang Chen, Lin Chen, Xinhai Chen, Qinglin Wang, Jie Liu, Bo Yang |
| 2021 | IJCNN | An efficient image to column algorithm for convolutional neural networks. | Chunye Gong, Xinhai Chen, Shuling Lv, Jie Liu, Bo Yang, Qinglin Wang, Weimin Bao, Yufei Pang, Yang Sun |
| 2018 | ICA3PP | TAMM: A New Topology-Aware Mapping Method for Parallel Applications on the Tianhe-2A Supercomputer. | Xinhai Chen, Jie Liu, Shengguo Li, Peizhen Xie, Lihua Chi, Qinglin Wang |