| 2025 | SIGGRAPH | Lifting the Winding Number: Precise Discontinuities in Neural Fields for Physics Simulation. | Yue Chang, Mengfei Liu, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun |
| 2025 | SiggraphA | Precise Gradient Discontinuities in Neural Fields for Subspace Physics. | Mengfei Liu, Yue Chang, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun |
| 2024 | BMVC | A Novel Divide and Merge Approach for Improved Classification of Functional Data. | Wei Zhao, Xiao-Jun Zeng, Chengdong Shi, Ching-Hsun Tseng, Yue Chang |
| 2024 | EMNLP | Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection. | Iqra Zahid, Yue Chang, Tharindu Madusanka, Youcheng Sun, Riza Batista-Navarro |
| 2024 | IJCNN | Data-Centered Scheme to Enhance Robustness of Deep Learning Model for Traffic Sign Recognition under Adverse Weather. | Yue Chang, Xiao-Jun Zeng, Guowei Wang, Chengdong Shi |
| 2024 | IGARSS | Generating Hourly 70-M Land Surface Temperature from GOES-R Observations: A Comparison of Statistical Downscaling and Deep Learning Methods. | Yue Chang, Yinxia Cao, Qihao Weng |
| 2023 | ICLR | CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations. | Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, Yue Chang, G. A. Pershing, Henrique Teles Maia, Maurizio M. Chiaramonte, Kevin T. Carlberg, Eitan Grinspun |
| 2023 | SiggraphA | LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields. | Yue Chang, Peter Yichen Chen, Zhecheng Wang, Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun |
| 2021 | DASC | A New Correlation Model of IoT Attack Based on Attack Tree. | Liu Yu, Kailiang Chen, Yue Chang, A. Chen, Qidi Yin, Hangwei Zhang |
| 2007 | CIS | A Novel Method for Intelligence of Sensors Modeling. | Yi Hu, Yue Chang, Yong Ni |