Yuankai Luo

According to our database, Yuankai Luo authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

Decoy Effect in Search Interaction: Understanding User Behavior and Measuring System Vulnerability.

Nuo Chen, Jiqun Liu, Hanpei Fang, Yuankai Luo, Tetsuya Sakai, Xiao-Ming Wu

ACM Trans. Inf. Syst., March, 2025

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble.

Zhijun Chen, Jingzheng Li, Pengpeng Chen, Zhuoran Li, Kai Sun, Yuankai Luo, Qianren Mao, Dingqi Yang, Hailong Sun, Philip S. Yu

CoRR, February, 2025

Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence.

Yuankai Luo, Lei Shi, Xiao-Ming Wu

CoRR, February, 2025

Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning.

Yuankai Luo, Hongkang Li, Qijiong Liu, Lei Shi, Xiao-Ming Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beyond Random Masking: When Dropout meets Graph Convolutional Networks.

Yuankai Luo, Xiao-Ming Wu, Hao Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

GeneticPrism: Multifaceted Visualization of Scientific Impact Evolutions.

Ye Sun, Zipeng Liu, Yuankai Luo, Lei Xia, Lei Shi

CoRR, 2024

Structure-aware Semantic Node Identifiers for Learning on Graphs.

Yuankai Luo, Qijiong Liu, Lei Shi, Xiao-Ming Wu

CoRR, 2024

Enhancing Graph Transformers with Hierarchical Distance Structural Encoding.

Yuankai Luo, Hongkang Li, Lei Shi, Xiao-Ming Wu

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

Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification.

Yuankai Luo, Lei Shi, Xiao-Ming Wu

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

2023

Mobility Inference on Long-Tailed Sparse Trajectory.

Lei Shi, Yuankai Luo, Shuai Ma, Hanghang Tong, Zhetao Li, Xiatian Zhang, Zhiguang Shan

ACM Trans. Intell. Syst. Technol., February, 2023

Transformers for Capturing Multi-level Graph Structure using Hierarchical Distances.

Yuankai Luo

CoRR, 2023

Transformers over Directed Acyclic Graphs.

Yuankai Luo, Veronika Thost, Lei Shi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Self-supervised Molecular Representation Learning using Persistent Homology.

Yuankai Luo, Lei Shi, Veronika Thost

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs.

Yuankai Luo, Lei Shi, Mufan Xu, Yuwen Ji, Fengli Xiao, Chunming Hu, Zhiguang Shan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

DAGformer: Directed Acyclic Graph Transformer.

Yuankai Luo

CoRR, 2022

2021

Attention Based Short-Term Metro Passenger Flow Prediction.

Ang Gao, Linjiang Zheng, Zixu Wang, Xuanxuan Luo, Congjun Xie, Yuankai Luo

Proceedings of the Knowledge Science, Engineering and Management, 2021