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ORCIDXinhai Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Xinhai Chen 0001
![[0000-0002-2931-4893]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2931-4893")
— National University of Defense Technology, Changsha, China - Xinhai Chen 0002 — Southwest Jiaotong University, Chengdu, China
- Xinhai Chen 0003 — Chongqing Vehicle Test and Research Institute, Chongqing, China
- Xinhai Chen 0004 — Chongqing University, Chongqing, China
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2020 – today
- 2026
[j3]Jiali Tu, Haijian Yang, Xinhai Chen, Shuyu Sun, Tianpei Cheng:
A scalable parallel reservoir simulator on corner-point grids for discontinuous Galerkin modeling of real-field geological reservoirs. J. Comput. Phys. 547: 114546 (2026)- [i5]Qisong Xiao, Xinhai Chen, Qinglin Wang, Xiaowei Guo, Binglin Wang, Weifeng Chen, Zhichao Wang, Yunfei Liu, Rui Xia, Hang Zou, Gencheng Liu, Shuai Li, Jie Liu:
LLM4Fluid: Large Language Models as Generalizable Neural Solvers for Fluid Dynamics. CoRR abs/2601.21681 (2026) - 2025
- [j2]Jiaming Peng, Xinhai Chen, Jie Liu:
3DMeshNet: A three-dimensional differential neural network for structured mesh generation. Graph. Model. 139: 101257 (2025) - [c5]Liming Shen, Liang Deng, Chongke Bi, Yu Wang, Xinhai Chen, Yueqing Wang, Jie Liu:
PEINR: A Physics-enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction. ICML 2025 - [c4]Weifeng Chen, Xinhai Chen, Qisong Xiao, Haijian Yang, Jiali Tu, Jie Liu:
Spatio-Temporal Prediction of Two-Phase Flow in Heterogeneous Reservoirs Using Deep Neural Networks. IJCNN 2025: 1-8 - [c3]Jing Xiao, Xinhai Chen, Rui Xia, Jie Liu:
Dual-Spectral Neural Operator for Solving Partial Differential Equations. IJCNN 2025: 1-8 - [i4]Jing Xiao, Xinhai Chen, Qingling Wang, Jie Liu:
MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation. CoRR abs/2501.11937 (2025) - [i3]Zhichao Wang, Xinhai Chen, Qinglin Wang, Xiang Gao, Qingyang Zhang, Menghan Jia, Xiang Zhang, Jie Liu:
UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss. CoRR abs/2508.08615 (2025) - [i2]Yigui Feng, Qinglin Wang, Haotian Mo, Yang Liu, Ke Liu, Gencheng Liu, Xinhai Chen, Siqi Shen, Songzhu Mei, Jie Liu:
Measuring the Unspoken: A Disentanglement Model and Benchmark for Psychological Analysis in the Wild. CoRR abs/2512.04728 (2025) - 2023
- [j1]Bingyi Liu, Ze Wang, Jing Qin, Yi Jiang, Xinhai Chen, Enshu Wang, Shengwu Xiong:
A novel framework for message dissemination with consideration of destination prediction in VFC. Neural Comput. Appl. 35(17): 12389-12399 (2023) - [c2]Xinhai Chen, Wei Liu, Chang Rao, Yu Zhang, Wanling Du:
Modelling and Verification of Cooperative Vehicle Infrastructure System at Intersections Based on Timed Automata. QRS Companion 2023: 633-642 - [i1]Zhichao Wang, Xinhai Chen, Junjun Yan, Jie Liu:
Proposing an intelligent mesh smoothing method with graph neural networks. CoRR abs/2311.12815 (2023) - 2021
- [c1]Pengchun Wu, Bin Song, Xinhai Chen, Bingyi Liu:
A Traffic Light Control System Based on Reinforcement Learning and Adaptive Timing. NCAA 2021: 545-559
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