Publications
Conference Papers
Yucheng Xing, Jacqueline Wu, Yingru Liu, Xuewen Yang, Xin Wang. “AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs”. In the 30th International Conference on Neural Information Processing (ICONIP), Changsha, China, November 2023.
[Paper] [Bibtex] [Poster] [Code]
Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Jing Shi, Di Jin, Zhaoyue Chen, Jacqueline Wu. “Continuous-Time Stochastic Differential Networks for Sporadic Time Series Modeling”. In the 28th International Conference on Neural Information Processing (ICONIP), Sanur, Bali, Indonesia, December 2021.
[Paper] [Bibtex]
Journal Papers
- Yucheng Xing, Jacqueline Wu, Yingru Liu, Xuewen Yang, Xin Wang. “Evolved Differential Model for Sporadic Graph Time-Series Prediction”. In Intelligent and Converged Networks (ICN), Vol. 5, No. 3, pp. 237-247, September 2024.
[Paper] [Bibtex]
Book Chapters
- Peng Zhang, Yifan Zhou, Scott A Smolka, Scott D Stoller, Xin Wang, Rong Zhao, Tianyun Ling, Yucheng Xing, Shouvik Roy, Amol Damare. “AI‐Grid: AI‐Enabled, Smart Programmable Microgrids”. In Microgrids: Theory and Practice , Wiley-IEEE Press, January 2024, pp.7-58.
[Paper] [Bibtex]
Preprints
- Yucheng Xing, Xin Wang. “Puppet-CNN: Input-Adaptive Convolutional Neural Networks with Model Compression using Ordinary Differential Equation”. In arXiv preprint arXiv:2411.12876, 2024.
[arXiv] - Yucheng Xing, Xiaodong Liu, Xin Wang. “Adaptively Controllable Diffusion Model for Efficient Conditional Image Generation”. In arXiv preprint arXiv:2411.15199, 2024.
[arXiv] - Xiaodong Liu, Yucheng Xing, Xin Wang. “Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding”. In arXiv preprint arXiv:2411.10961, 2024.
[arXiv] - Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Jing Shi, Di Jin, Zhaoyue Chen. “Learning Continuous-Time Dynamics by Stochastic Differential Networks”. In arXiv preprint arXiv:2006.06145, 2020.
[arXiv]
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