Dong Ni

According to our database, Dong Ni authored at least 23 papers between 2017 and 2025.

Collaborative distances:

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

2025

An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding.

Pengwei Liu, Xingyu Ren, Pengkai Wang, Hangjie Yuan, Zhongkai Hao, Guanyu Chen, Chao Xu, Dong Ni, Shengze Cai

CoRR, December, 2025

DGNN: A Neural PDE Solver Induced by Discontinuous Galerkin Methods.

Guanyu Chen, Shengze Xu, Dong Ni, Tieyong Zeng

CoRR, March, 2025

Dynamic real-time aiming strategy optimization of multi-horizons heliostat fields.

Yi'an Wang, Zhe Wu, Dong Ni

Appl. Soft Comput., 2025

MPG: An Efficient Multi-scale Point-Based GNN for Non-uniform Meshes.

Qinxin Wu, Pengwei Liu, Xingyu Ren, Dong Ni

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images.

Shuhang Chen, Hangjie Yuan, Pengwei Liu, Hanxue Gu, Tao Feng, Dong Ni

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries.

Pengwei Liu, Pengkai Wang, Xingyu Ren, Hangjie Yuan, Zhongkai Hao, Chao Xu, Shengze Cai, Dong Ni

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A method for real-time optimal heliostat aiming strategy generation via deep learning.

Sipei Wu, Dong Ni

Eng. Appl. Artif. Intell., January, 2024

A self-supervised learning framework based on masked autoencoder for complex wafer bin map classification.

Yi Wang, Dong Ni, Zhenyu Huang, Puyang Chen

Expert Syst. Appl., 2024

Correlation analysis of sampled wafer profile maps based on a deep reconstruction model.

Yuting Kong, Dong Ni

Appl. Soft Comput., 2024

Optimizing Plasma Etching: Integrating Precise Three-Dimensional Etching Simulation and Machine Learning for Multi-Objective Optimization.

Jianming Guo, Mingqiang Geng, Kun Ren, Dong Ni, Dawei Gao

IEEE Access, 2024

From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation.

Ruxue Wen, Hangjie Yuan, Dong Ni, Wenbo Xiao, Yaoyao Wu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

PAPM: A Physics-aware Proxy Model for Process Systems.

Pengwei Liu, Zhongkai Hao, Xingyu Ren, Hangjie Yuan, Jiayang Ren, Dong Ni

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition.

Lingfeng Liu, Dong Ni, Hangjie Yuan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

InstructVideo: Instructing Video Diffusion Models with Human Feedback.

Hangjie Yuan, Shiwei Zhang, Xiang Wang, Yujie Wei, Tao Feng, Yining Pan, Yingya Zhang, Ziwei Liu, Samuel Albanie, Dong Ni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

RLIPv2: Fast Scaling of Relational Language-Image Pre-training.

Hangjie Yuan, Shiwei Zhang, Xiang Wang, Samuel Albanie, Yining Pan, Tao Feng, Jianwen Jiang, Dong Ni, Yingya Zhang, Deli Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Synthesized Multi-GFA Multi-bin Wafer Bin Map Dataset.

Dong Ni, Yi Wang

Dataset, April, 2022

RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection.

Hangjie Yuan, Jianwen Jiang, Samuel Albanie, Tao Feng, Ziyuan Huang, Dong Ni, Mingqian Tang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics.

Hangjie Yuan, Mang Wang, Dong Ni, Liangpeng Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Spatio-Temporal Dynamic Inference Network for Group Activity Recognition.

Hangjie Yuan, Dong Ni, Mang Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Visual Context for Group Activity Recognition.

Hangjie Yuan, Dong Ni

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Observer and filter design for linear transport-reaction systems.

Junyao Xie, Qingqing Xu, Dong Ni, Stevan Dubljevic

Eur. J. Control, 2019

2018

Ge CMOS technology with advanced interface and junction engineering.

Yi Zhao, Zejie Zheng, Junkang Li, Dong Ni, Rui Zhang

Proceedings of the 2018 International Conference on IC Design & Technology, 2018

2017

A practical yield prediction approach using inline defect metrology data for system-on-chip integrated circuits.

Yuting Kong, Dong Ni

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017