Chaolong Ying

According to our database, Chaolong Ying authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

UM3: Unsupervised Map to Map Matching.

Chaolong Ying, Yinan Zhang, Lei Zhang, Jiazhuang Wang, Shujun Jia, Tianshu Yu

CoRR, August, 2025

Neural Graduated Assignment for Maximum Common Edge Subgraphs.

Chaolong Ying, Yingqi Ruan, Xuemin Chen, Yaomin Wang, Tianshu Yu

CoRR, May, 2025

Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning.

Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu

Trans. Mach. Learn. Res., 2025

Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting.

Haoyu Zhang, Yinan Zhang, Chaolong Ying, Xiaoying Tang, Tianshu Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Graph Learning with Distributional Edge Layouts.

Xinjian Zhao, Chaolong Ying, Yaoyao Xu, Tianshu Yu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

NeuroLifting: Neural Inference on Markov Random Fields at Scale.

Yaomin Wang, Chaolong Ying, Xiaodong Luo, Tianshu Yu

CoRR, 2024

Rethinking the "Heatmap + Monte Carlo Tree Search" Paradigm for Solving Large Scale TSP.

Xuanhao Pan, Chenguang Wang, Chaolong Ying, Ye Xue, Tianshu Yu

CoRR, 2024

Do spectral cues matter in contrast-based graph self-supervised learning?

Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu

CoRR, 2024

Graph Learning with Distributional Edge Layouts.

Xinjian Zhao, Chaolong Ying, Tianshu Yu

CoRR, 2024

Boosting Graph Pooling with Persistent Homology.

Chaolong Ying, Xinjian Zhao, Tianshu Yu

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

2023

A Multiobjective Evolutionary Approach for Solving Large-Scale Network Reconstruction Problems via Logistic Principal Component Analysis.

Chaolong Ying, Jing Liu, Kai Wu, Chao Wang

IEEE Trans. Cybern., April, 2023

Molecular Conformation Generation via Shifting Scores.

Zihan Zhou, Ruiying Liu, Chaolong Ying, Ruimao Zhang, Tianshu Yu

CoRR, 2023

2021

Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm.

Chao Wang, Jing Liu, Kai Wu, Chaolong Ying

Appl. Soft Comput., 2021