Yuankai Luo

26 papers A* 8A 1C 1Journal 16
YearRankTypeTitle / Venue / Authors
2026 A conf
Accelerating Generative Recommendation via Simple Categorical User Sequence Compression.
WSDM
Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu
2026 J jnl
Accelerating Generative Recommendation via Simple Categorical User Sequence Compression.
CoRR
Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu
2026 J jnl
CORAL: Scalable Multi-Task Robot Learning via LoRA Experts.
CoRR
Yuankai Luo, Woping Chen, Tong Liang, Zhenguo Li
2026 J jnl
SimVLA: A Simple VLA Baseline for Robotic Manipulation.
CoRR
Yuankai Luo, Woping Chen, Tong Liang, Baiqiao Wang, Zhenguo Li
2025 A* conf
Beyond Random Masking: When Dropout meets Graph Convolutional Networks.
ICLR
Yuankai Luo, Xiao-Ming Wu, Hao Zhu
2025 A* conf
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence.
ICML
Yuankai Luo, Lei Shi, Xiao-Ming Wu
2025 J jnl
Decoy Effect in Search Interaction: Understanding User Behavior and Measuring System Vulnerability.
ACM Trans. Inf. Syst.
Nuo Chen, Jiqun Liu, Hanpei Fang, Yuankai Luo, Tetsuya Sakai, Xiao-Ming Wu
2025 J jnl
GeneticPrism: Multifaceted Visualization of Citation-Based Scholarly Research Evolution.
IEEE Trans. Vis. Comput. Graph.
Ye Sun, Zipeng Liu, Yuankai Luo, Lei Xia, Lei Shi
2025 J jnl
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble.
CoRR
Zhijun Chen, Jingzheng Li, Pengpeng Chen, Zhuoran Li, Kai Sun, Yuankai Luo, Qianren Mao, Dingqi Yang, Hailong Sun, Philip S. Yu
2025 A* conf
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning.
ICLR
Yuankai Luo, Hongkang Li, Qijiong Liu, Lei Shi, Xiao-Ming Wu
2025 J jnl
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence.
CoRR
Yuankai Luo, Lei Shi, Xiao-Ming Wu
2024 A* conf
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification.
NeurIPS
Yuankai Luo, Lei Shi, Xiao-Ming Wu
2024 J jnl
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification.
CoRR
Yuankai Luo, Lei Shi, Xiao-Ming Wu
2024 J jnl
Decoy Effect In Search Interaction: Understanding User Behavior and Measuring System Vulnerability.
CoRR
Nuo Chen, Jiqun Liu, Hanpei Fang, Yuankai Luo, Tetsuya Sakai, Xiao-Ming Wu
2024 A* conf
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding.
NeurIPS
Yuankai Luo, Hongkang Li, Lei Shi, Xiao-Ming Wu
2024 J jnl
GeneticPrism: Multifaceted Visualization of Scientific Impact Evolutions.
CoRR
Ye Sun, Zipeng Liu, Yuankai Luo, Lei Xia, Lei Shi
2024 J jnl
Structure-aware Semantic Node Identifiers for Learning on Graphs.
CoRR
Yuankai Luo, Qijiong Liu, Lei Shi, Xiao-Ming Wu
2023 A* conf
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs.
KDD
Yuankai Luo, Lei Shi, Mufan Xu, Yuwen Ji, Fengli Xiao, Chunming Hu, Zhiguang Shan
2023 J jnl
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs.
CoRR
Yuankai Luo, Lei Shi, Mufan Xu, Yuwen Ji, Fengli Xiao, Chunming Hu, Zhiguang Shan
2023 A* conf
Improving Self-supervised Molecular Representation Learning using Persistent Homology.
NeurIPS
Yuankai Luo, Lei Shi, Veronika Thost
2023 J jnl
Improving Self-supervised Molecular Representation Learning using Persistent Homology.
CoRR
Yuankai Luo, Lei Shi, Veronika Thost
2023 J jnl
Mobility Inference on Long-Tailed Sparse Trajectory.
ACM Trans. Intell. Syst. Technol.
Lei Shi, Yuankai Luo, Shuai Ma, Hanghang Tong, Zhetao Li, Xiatian Zhang, Zhiguang Shan
2023 J jnl
Transformers for Capturing Multi-level Graph Structure using Hierarchical Distances.
CoRR
Yuankai Luo
2023 A* conf
Transformers over Directed Acyclic Graphs.
NeurIPS
Yuankai Luo, Veronika Thost, Lei Shi
2022 J jnl
DAGformer: Directed Acyclic Graph Transformer.
CoRR
Yuankai Luo
2021 C conf
Attention Based Short-Term Metro Passenger Flow Prediction.
KSEM
Ang Gao, Linjiang Zheng, Zixu Wang, Xuanxuan Luo, Congjun Xie, Yuankai Luo