TAMM: A New Topology-Aware Mapping Method for Parallel Applications on the Tianhe-2A Supercomputer. - Xinhai Chen 001; Jie Liu 002; Shengguo Li; Peizhen Xie; Lihua Chi; Qinglin Wang (ICA3PP (1), 2018)

An efficient SIMD compression format for sparse matrix-vector multiplication. - Xinhai Chen 001; Peizhen Xie; Lihua Chi; Jie Liu 002; Chunye Gong (Concurr. Comput. Pract. Exp., 2018)

A Novel Interactive Recurrent Attention Network for Emotion-Cause Pair Extraction. - Xiangyu Jia; Xinhai Chen 001; Qian Wan 007; Jie Liu 002 (ACAI, 2020)

An Airfoil Mesh Quality Criterion using Deep Neural Networks. - Xinhai Chen 001; Jie Liu 002; Chunye Gong; Yufei Pang; Bo Chen (ICACI, 2020)

OHTMA: an optimized heuristic topology-aware mapping algorithm on the Tianhe-3 exascale supercomputer prototype. - Yishui Li; Xinhai Chen 001; Jie Liu 002; Bo Yang 023; Chunye Gong; Xinbiao Gan; Shengguo Li; Han Xu 008 (Frontiers Inf. Technol. Electron. Eng., 2020)

VBSF: a new storage format for SIMD sparse matrix-vector multiplication on modern processors. - Yishui Li; Peizhen Xie; Xinhai Chen 001; Jie Liu 002; Bo Yang 023; Shengguo Li; Chunye Gong; Xinbiao Gan; Han Xu 008 (J. Supercomput., 2020)

Modeling Full Information with Graph Network for Joint Entity-Relation Extraction. - Qian Wan 007; Luona Wei; Xinhai Chen 001; Jie Liu 002 (ACAI, 2021)

An efficient image to column algorithm for convolutional neural networks. - Chunye Gong; Xinhai Chen 001; Shuling Lv; Jie Liu 002; Bo Yang 023; Qinglin Wang; Weimin Bao; Yufei Pang; Yang Sun (IJCNN, 2021)

MVE-Net: An Automatic 3-D Structured Mesh Validity Evaluation Framework Using Deep Neural Networks. - Xinhai Chen 001; Jie Liu 002; Chunye Gong; Shengguo Li; Yufei Pang; Bo Chen (Comput. Aided Des., 2021)

A region-based hypergraph network for joint entity-relation extraction. - Qian Wan 007; Luona Wei; Xinhai Chen 001; Jie Liu 002 (Knowl. Based Syst., 2021)

Configurable Multi-directional Systolic Array Architecture for Convolutional Neural Networks. - Rui Xu; Sheng Ma; Yaohua Wang; Xinhai Chen 001; Yang Guo 003 (ACM Trans. Archit. Code Optim., 2021)

CSR&RV: An Efficient Value Compression Format for Sparse Matrix-Vector Multiplication. - Junjun Yan; Xinhai Chen 001; Jie Liu 002 (NPC, 2022)

Improving the Performance of Lattice Boltzmann Method with Pipelined Algorithm on A Heterogeneous Multi-zone Processor. - Qingyang Zhang 009; Lei Xu 035; Rongliang Chen; Lin Chen 028; Xinhai Chen 001; Qinglin Wang; Jie Liu 002; Bo Yang 023 (PDCAT, 2022)

An Improved Structured Mesh Generation Method Based on Physics-informed Neural Networks. - Xinhai Chen 001; Jie Liu 002; Junjun Yan; Zhichao Wang; Chunye Gong (CoRR, 2022)

A Neural Network-Based Mesh Quality Indicator for Three-Dimensional Cylinder Modelling. - Xinhai Chen 001; Zhichao Wang; Jie Liu 002; Chunye Gong; Yufei Pang (Entropy, 2022)

MGNet: a novel differential mesh generation method based on unsupervised neural networks. - Xinhai Chen 001; Tiejun Li; Qian Wan 007; Xiaoyu He; Chunye Gong; Yufei Pang; Jie Liu 002 (Eng. Comput., 2022)

Evaluating mesh quality with graph neural networks. - Zhichao Wang; Xinhai Chen 001; Tieju Li; Chunye Gong; Yufei Pang; Jie Liu 002 (Eng. Comput., 2022)

A novel neural network approach for airfoil mesh quality evaluation. - Xinhai Chen 001; Chunye Gong; Jie Liu 002; Yufei Pang; Liang Deng; Lihua Chi; Kenli Li 001 (J. Parallel Distributed Comput., 2022)

ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations. - Junjun Yan; Xinhai Chen 001; Zhichao Wang; Enqiang Zhou; Jie Liu 002 (IJCNN, 2023)

Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving. - Junjun Yan; Xinhai Chen 001; Zhichao Wang; Enqiang Zhou; Jie Liu 002 (CoRR, 2023)

Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks. - Guo Mao; Zhengbin Pang; Ke Zuo; Qinglin Wang; Xiangdong Pei; Xinhai Chen 001; Jie Liu 002 (Briefings Bioinform., 2023)

PAR-DeepONet: A Novel Physics Informed Operator Learning Method Based On Physical Adaptive Refinement. - Yu Zhou 074; Xinhai Chen 001; Jie Liu 002 (CSAI, 2024)

ImPINN: Improved Physics-informed neural networks for solving inverse problems. - Yidi Bai; Xinhai Chen 001; Chunye Gong; Jie Liu 002 (CyberC, 2024)

SuperCSR: A Space-Time-Efficient CSR Representation for Large-scale Graph Applications on Supercomputers. - Xinbiao Gan; Tiejun Li; Qiang Zhang 053; Bo Yang 023; Xinhai Chen 001; Jie Liu 002 (ICPP, 2024)

3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation. - Jiaming Peng; Xinhai Chen 001; Jie Liu 002 (CoRR, 2024)

GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing. - Zhichao Wang; Xinhai Chen 001; Chunye Gong; Bo Yang 023; Liang Deng; Yufei Sun; Yufei Pang; Jie Liu 002 (CoRR, 2024)

Developing an advanced neural network and physics solver coupled framework for accelerating flow field simulations. - Xinhai Chen 001; Tiejun Li; Yunbo Wan; Yuechao Liang; Chunye Gong; Yufei Pang; Jie Liu 002 (Eng. Comput., 2024)

MST: Topology-Aware Message Aggregation for Exascale Graph Processing of Traversal-Centric Algorithms. - Xinbiao Gan; Tiejun Li; Feng Xiong; Bo Yang 023; Xinhai Chen 001; Chunye Gong; Shijie Li 002; Kai Lu 001; Qiao Li 001; Yiming Zhang 003 (ACM Trans. Archit. Code Optim., 2024)

VES: Vectorized Sparse General Matrix-Matrix Multiplication on Multi-Core DSPs. - Chuhe Hong; Qinglin Wang; Xing Peng; Gencheng Liu; Qingyang Zhang 009; Xinhai Chen 001; Jie Liu 002 (ICPP, 2025)

IA-Chol: Input-Aware Cholesky Decomposition on CPU and GPU. - Jixiao Deng; Qinglin Wang; Lin Chen 028; Tun Li 002; Bo Yang 023; Xinhai Chen 001; Jie Liu 002 (ICS, 2025)

Informative Discrimination Network for Efficient Single Image Super-Resolution. - Yuzheng Tu; Xinhai Chen 001; Chunye Gong; Jie Liu 002; Bo Yang 023; Xiang Gao 020; Xiang Zhang 008 (IJCNN, 2025)

Dual-Spectral Neural Operator for Solving Partial Differential Equations. - Jing Xiao; Xinhai Chen 001; Rui Xia; Jie Liu 002 (IJCNN, 2025)

An Efficient Adaptive Dual-Threshold Svm Based on Heterogeneous Collaboration. - Xing Peng; Qinglin Wang; Chuhe Hong; Gencheng Liu; Rui Xia; Xinhai Chen 001; Zhigang Sun; Jie Liu 002 (IPDPS, 2025)

3DMeshNet: A three-dimensional differential neural network for structured mesh generation. - Jiaming Peng; Xinhai Chen 001; Jie Liu (Graph. Model., 2025)

FE-PIRBN: Feature-enhanced physics-informed radial basis neural networks for solving high-frequency electromagnetic scattering problems. - Huajian Zhang; Chao Li 070; Rui Xia; Xinhai Chen 001; Tiaojie Xiao; Xiaowei Guo; Jie Liu 002 (J. Comput. Phys., 2025)

Towards Megacity-Scale Wind Flow Simulations on Many-Core CPU-Accelerator Systems. - Lei Xu 035; Qingyang Zhang 009; Kai Lu 001; Zhengzheng Yan; Chunye Gong; Shengguo Li; Lin Chen 028; Xinhai Chen 001; Xuchuan Lin; Jie Liu 002; Zheng Wang 001; Rongliang Chen (SIAM J. Sci. Comput., 2025)

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation. - Jing Xiao; Xinhai Chen 001; Qingling Wang; Jie Liu 002 (CoRR, 2025)

An intelligent mesh-smoothing method with graph neural networks. - Zhichao Wang; Xinhai Chen 001; Junjun Yan; Jie Liu 002 (Frontiers Inf. Technol. Electron. Eng., 2025)

HADF: a hash-adaptive dual fusion implicit network for super-resolution of turbulent flows. - Yunfei Liu; Xinhai Chen 001; Gen Zhang; Qingyang Zhang 009; Qinglin Wang; Jie Liu 002 (Frontiers Inf. Technol. Electron. Eng., 2025)

Measuring the Unspoken: A Disentanglement Model and Benchmark for Psychological Analysis in the Wild. - Yigui Feng; Qinglin Wang; Haotian Mo; Yang Liu; Ke Liu; Gencheng Liu; Xinhai Chen 001; Siqi Shen; Songzhu Mei; Jie Liu (CoRR, 2025)

Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation. - Jing Xiao; Xinhai Chen 001; Jiaming Peng; Jie Liu 002 (AAAI, 2026)

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 001; Qingyang Zhang 009; Jie Liu 002 (ICS, 2026)

THAC: Unlocking Performance in Parallel HPC Applications via UQ-Aware Automated Approximation. - Zhenhao Zhao; Qinglin Wang; Bo Yang; Xinhai Chen 001; Jie Liu 002; Binglin Wang (ICS, 2026)

Physics-informed residual learning with low-rank adaptation for unsupervised mesh generation. - Jiaming Peng; Xinhai Chen 001; Jing Xiao; Zeyu Zhu; Qingling Wang; Zhiquan Lai; Dongsheng Li 001; Jie Liu (Comput. Aided Geom. Des., 2026)

A scalable parallel reservoir simulator on corner-point grids for discontinuous Galerkin modeling of real-field geological reservoirs. - Jiali Tu; Haijian Yang; Xinhai Chen 001; Shuyu Sun 001; Tianpei Cheng (J. Comput. Phys., 2026)

PI-MeshONet: A generalizable and self-supervised method for structured mesh generation. - Jing Xiao; Xinhai Chen 001; Jiaming Peng; Jie Liu 002 (Knowl. Based Syst., 2026)

GNNRL-smoothing: A prior-free reinforcement learning model for mesh optimization. - Zhichao Wang; Xinhai Chen 001; Chunye Gong; Bo Yang 023; Liang Deng; Yufei Sun; Yufei Pang; Xiang Zhang 008; Jie Liu 002 (Neural Networks, 2026)

MeshONet: A generalizable and efficient operator learning method for structured mesh generation. - Jing Xiao; Xinhai Chen 001; Jiaming Peng; Qinglin Wang; Jie Liu 002 (Neural Networks, 2026)

ST-FlowNet: A lightweight framework for long-term spatio-temporal flow field prediction. - Qisong Xiao; Xinhai Chen 001; Haijian Yang; Chunye Gong; Jie Liu 002 (Neural Networks, 2026)

Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery. - Jing Xiao; Xinhai Chen 001; Jiaming Peng; Qinglin Wang; Menghan Jia; Zhiquan Lai; Guangping Yu; Dongsheng Li 001; Tiejun Li; Jie Liu 002 (CoRR, 2026)

Survey of storage systems in high performance computing. - Gen Zhang; Zhenlong Song; Wenzhe Zhang; Xinhai Chen 001; Shan Huang; Yong Dong (CCF Trans. High Perform. Comput., 2026)