Qi Wang

According to our database, Qi Wang authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Spatiotemporal Graph Learning with Direct Volumetric Information Passing and Feature Enhancement.

Yuan Mi, Qi Wang, Xueqin Hu, Yike Guo, Ji-Rong Wen, Yang Liu, Hao Sun

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics.

Han Wan, Qi Wang, Yuan Mi, Rui Zhang, Hao Sun

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Spatiotemporal Prediction.

Han Wan, Qi Wang, Yuan Mi, Hao Sun

CoRR, March, 2025

Learning spatiotemporal dynamics from sparse data via a high-order physics-encoded network.

Pu Ren, Jialin Song, Chengping Rao, Qi Wang, Yike Guo, Hao Sun, Yang Liu

Comput. Phys. Commun., 2025

Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows.

Mengtao Yan, Qi Wang, Haining Wang, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Qi Qi, Hao Sun

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems.

Han Wan, Rui Zhang, Qi Wang, Yang Liu, Hao Sun

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation.

Qi Wang, Yuan Mi, Haoyun Wang, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun

Proceedings of the Forty-second International Conference on Machine Learning, 2025

PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems.

Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

P²C²Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.

Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu

CoRR, 2024

PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems.

Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun

CoRR, 2024

P²C²Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.

Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Zeruizhi Cheng, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

PhySR: Physics-informed deep super-resolution for spatiotemporal data.

Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun

J. Comput. Phys., November, 2023

Encoding physics to learn reaction-diffusion processes.

Chengping Rao, Pu Ren, Qi Wang, Oral Buyukozturk, Hao Sun, Yang Liu

Nat. Mac. Intell., July, 2023

2022

Physics-informed Deep Super-resolution for Spatiotemporal Data.

Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun

CoRR, 2022