Yanqiao ZHU

Employment

• Institute of Automation, Chinese Academy of Sciences Research Assistant
  2018 - 2022

Education

• University of California Los Angeles Computer Science Department PhD
  2022 - Present
• Institute of Automation, Chinese Academy of Sciences MPhil
  2019 - 2022

Projects & Funding

Projects & funding information is unavailable.

Publications (26)

• MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science
  2026 DOI: 10.1145/3770855.3818888
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• Bi-Level Graph Structure Learning for Next POI Recommendation
  IEEE Transactions on Knowledge and Data Engineering 2024 DOI: 10.1109/TKDE.2024.3397683
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• Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining
  ACM Transactions on Intelligent Systems and Technology 2023 DOI: 10.1145/3608480
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• AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange
  2023 DOI: 10.1145/3583780.3614778
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• Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation
  IEEE Transactions on Knowledge and Data Engineering 2023 DOI: 10.1109/TKDE.2022.3221949
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• A Systematic Survey of Chemical Pre-trained Models
  Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence 2023 DOI: 10.24963/ijcai.2023/760
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• Neighborhood-Regularized Self-Training for Learning with Few Labels
  Proceedings of the AAAI Conference on Artificial Intelligence 2023 DOI: 10.1609/aaai.v37i9.26260
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• Code Recommendation for Open Source Software Developers
  Proceedings of the ACM Web Conference 2023 2023 DOI: 10.1145/3543507.3583503
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• Deep DAG Learning of Effective Brain Connectivity for fMRI Analysis
  2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) 2023 DOI: 10.1109/isbi53787.2023.10230429
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• BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks
  IEEE Transactions on Medical Imaging 2023 DOI: 10.1109/TMI.2022.3218745
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• Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
  Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022 DOI: 10.1145/3534678.3542680
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• Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis
  2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022 DOI: 10.1109/embc48229.2022.9871118
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• Structure-Enhanced Heterogeneous Graph Contrastive Learning
  Proceedings of the 2022 SIAM International Conference on Data Mining (SDM) 2022 DOI: 10.1137/1.9781611977172.10
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• Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
  Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 2022 DOI: 10.1007/978-3-031-16452-1_36
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• Deep Active Learning for Text Classification with Diverse Interpretations
  Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021 DOI: 10.1145/3459637.3482080
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• Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction
  Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021 DOI: 10.1145/3459637.3482088
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• Mining Latent Structures for Multimedia Recommendation
  Proceedings of the 29th ACM International Conference on Multimedia 2021 DOI: 10.1145/3474085.3475259
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• An Empirical Study of Graph Contrastive Learning
  Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 2021
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• Deep Graph Contrastive Representation Learning
  ICML Workshop on Graph Representation Learning and Beyond 2020
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• Graph Contrastive Learning with Adaptive Augmentation
  arXiv.org 2020 DOI: 10.1145/3442381.3449802
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