Chaolong Ying

13 papers A* 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
Graph Learning with Distributional Edge Layouts.
KDD (1)
Xinjian Zhao, Chaolong Ying, Yaoyao Xu, Tianshu Yu
2025 J jnl
Neural Graduated Assignment for Maximum Common Edge Subgraphs.
CoRR
Chaolong Ying, Yingqi Ruan, Xuemin Chen, Yaomin Wang, Tianshu Yu
2025 J jnl
Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning.
Trans. Mach. Learn. Res.
Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu
2025 J jnl
UM3: Unsupervised Map to Map Matching.
CoRR
Chaolong Ying, Yinan Zhang, Lei Zhang, Jiazhuang Wang, Shujun Jia, Tianshu Yu
2024 A* conf
Boosting Graph Pooling with Persistent Homology.
NeurIPS
Chaolong Ying, Xinjian Zhao, Tianshu Yu
2024 J jnl
Boosting Graph Pooling with Persistent Homology.
CoRR
Chaolong Ying, Xinjian Zhao, Tianshu Yu
2024 J jnl
Do spectral cues matter in contrast-based graph self-supervised learning?
CoRR
Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu
2024 J jnl
Graph Learning with Distributional Edge Layouts.
CoRR
Xinjian Zhao, Chaolong Ying, Tianshu Yu
2024 J jnl
NeuroLifting: Neural Inference on Markov Random Fields at Scale.
CoRR
Yaomin Wang, Chaolong Ying, Xiaodong Luo, Tianshu Yu
2024 J jnl
Rethinking the "Heatmap + Monte Carlo Tree Search" Paradigm for Solving Large Scale TSP.
CoRR
Xuanhao Pan, Chenguang Wang, Chaolong Ying, Ye Xue, Tianshu Yu
2023 J jnl
A Multiobjective Evolutionary Approach for Solving Large-Scale Network Reconstruction Problems via Logistic Principal Component Analysis.
IEEE Trans. Cybern.
Chaolong Ying, Jing Liu, Kai Wu, Chao Wang
2023 J jnl
Molecular Conformation Generation via Shifting Scores.
CoRR
Zihan Zhou, Ruiying Liu, Chaolong Ying, Ruimao Zhang, Tianshu Yu
2021 J jnl
Learning large-scale fuzzy cognitive maps using an evolutionary many-task algorithm.
Appl. Soft Comput.
Chao Wang, Jing Liu, Kai Wu, Chaolong Ying