Jiacheng Cen

According to our database, Jiacheng Cen authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

A survey of geometric graph neural networks: data structures, models and applications.

Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Deli Zhao, Yang Liu, Yu Rong, Wenbing Huang

Frontiers Comput. Sci., November, 2025

Geometric Mixture Models for Electrolyte Conductivity Prediction.

Anyi Li, Jiacheng Cen, Songyou Li, Mingze Li, Yang Yu, Wenbing Huang

CoRR, October, 2025

Universally Invariant Learning in Equivariant GNNs.

Jiacheng Cen, Anyi Li, Ning Lin, Tingyang Xu, Yu Rong, Deli Zhao, Zihe Wang, Wenbing Huang

CoRR, October, 2025

Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning.

Yuelin Zhang, Jiacheng Cen, Jiaqi Han, Wenbing Huang

CoRR, June, 2025

STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework.

Wenhao Liu, Zhenyi Lu, Xinyu Hu, Jierui Zhang, Dailin Li, Jiacheng Cen, Huilin Cao, Haiteng Wang, Yuhan Li, Kun Xie, Dandan Li, Pei Zhang, Chengbo Zhang, Yuxiang Ren, Xiaohong Huang, Yan Ma

CoRR, June, 2025

Large Language-Geometry Model: When LLM meets Equivariance.

Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong, Deli Zhao, Wenbing Huang

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

Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries.

Zongzhao Li, Jiacheng Cen, Wenbing Huang, Taifeng Wang, Le Song

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework.

Wenhao Liu, Zhenyi Lu, Xinyu Hu, Jerry Zhang, Dailin Li, Jiacheng Cen, Huilin Cao, Haiteng Wang, Yuhan Li, Kun Xie, Dandan Li, Pei Zhang, Chengbo Zhang, Yuxiang Ren, Xiaohong Huang, Yan Ma

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications.

Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang

CoRR, 2024

Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?

Jiacheng Cen, Anyi Li, Ning Lin, Yuxiang Ren, Zihe Wang, Wenbing Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning.

Yuelin Zhang, Jiacheng Cen, Jiaqi Han, Zhiqiang Zhang, Jun Zhou, Wenbing Huang

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

2021

PAL-FD: an Efficient and Accurate Multi-Scene Human Face Detection Tool for Windows.

Shuai Xu, Zhelong Huang, Pinyi Qian, Jiacheng Cen, Donghai Guan

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021