Yanqiao ZHU

Yanqiao ZHU

Machine Learning / Graph Representation Learning / Data Mining

Selected Publications

Citation Statistics

Asterisk marks (*) indicate authors having contributed (almost) equally.

Conference Papers

  • Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang MICCAI 2022
  • Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning Yi Yang*, Yanqiao Zhu*, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang KDD 2022 (Health Day)
  • Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang EMBC 2022
  • Structure-Enhanced Heterogeneous Graph Contrastive Learning Yanqiao Zhu*, Yichen Xu*, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu SDM 2022
  • An Empirical Study of Graph Contrastive Learning Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu NeurIPS 2021 (Datasets and Benchmarks)
  • Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction Yichen Xu*, Yanqiao Zhu*, Feng Yu, Qiang Liu, Shu Wu CIKM 2021
  • Deep Active Learning for Text Classification with Diverse Interpretations Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu CIKM 2021
  • Mining Latent Structures for Multimedia Recommendation Jinghao Zhang*, Yanqiao Zhu*, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang ACMMM 2021 (Oral)
  • Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu*, Yichen Xu*, Feng Yu, Qiang Liu, Shu Wu, Liang Wang WWW 2021
  • TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation Feng Yu*, Yanqiao Zhu*, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan SIGIR 2020
  • Session-based Recommendation with Graph Neural Networks Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan AAAI 2019 (Oral)

Journal Papers

  • GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction Fenyu Hu*, Yanqiao Zhu*, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan Pattern Recognit. 112
  • Active Learning for Wireless IoT Intrusion Detection Kai Yang, Jie Ren, Yanqiao Zhu, Weiyi Zhang IEEE Wirel. Commun. 25 (6)

Workshop Papers

  • Deep Graph Contrastive Representation Learning Yanqiao Zhu*, Yichen Xu*, Feng Yu, Qiang Liu, Shu Wu, Liang Wang GRL+@ICML 2020

Preprints

  • BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang
  • A Survey on Graph Structure Learning: Progress and Opportunities Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Yuanqi Du, Jieyu Zhang, Qiang Liu, Carl Yang, Shu Wu
  • A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu*, Yuanqi Du*, Yinkai Wang*, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu
  • Pre-training Graph Neural Networks for Molecular Representations: A Systematic Survey Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li
  • Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang
  • Unsupervised Graph Representation Learning with Cluster-Aware Self-Training and Refining Yanqiao Zhu*, Yichen Xu*, Feng Yu, Qiang Liu, Shu Wu