Publications

* indicates equal contribution, † indicates corresponding author

• Advantages, Risks and Insights from Comparing In-Context Learning Models with Typical Meta-Learners
  Shiguang Wu, Yaqing Wang, Quanming Yao
  International Conference on Learning Representations (ICLR), 2025
  
• Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs
  Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang
  AI Magazine (AI Magazine), 2024
  
• Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions
  Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2024
  [Code]
• PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
  Shiguang Wu, Yaqing Wang†, Quanming Yao
  International Joint Conference on Artificial Intelligence (IJCAI), 2024
  [Code]
• ColdU: Cold-start Recommendation with User-specific Modulation
  Daxiang Dong, Shiguang Wu, Yaqing Wang, Jingbo Zhou, Haifeng Wang
  IEEE Conference on Artificial Intelligence (CAI), 2024
  
• Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
  Quanming Yao, Zhenqian Shen, Yaqing Wang†, Dejing Dou
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
  [Code]
• PreGesNet: Few-shot Acoustic Gesture Recognition Based on Task-adaptive Pretrained Networks
  Yongpan Zou, Yunshu Wang, Haozhi Dong, Yaqing Wang†, Yanbo He, Kaishun Wu
  IEEE Transactions on Mobile Computing (TMC), 2024
  
• Accurate and Interpretable Drug-drug Interaction Prediction Enabled by Knowledge Subgraph Learning
  Yaqing Wang*, Zaifei Yang*, Quanming Yao
  Communications Medicine (Commun. Med., Nature Portfolio), 2024
  [Code]
• Feynman: Federated Advertising for Ecosystems-Oriented Mobile Apps Recommendation
  Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Yaqing Wang, Dejing Dou, Haoyi Xiong
  IEEE Transactions on Service Computing (TSC), 2023
  
• Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering
  Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2023
  
• A Novel Tensor Learning Model for Joint Relational Triplet Extraction
  Zhen Wang, Hongyi Nie, Wei Zheng, Yaqing Wang, Xuelong Li
  IEEE Transactions on Cybernetics (TCYB), 2023
  
• ColdNAS: Search to Modulate for User Cold-Start Recommendation
  Shiguang Wu, Yaqing Wang†, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
  The Web Conference (TheWebConf, previous WWW), 2023
  [Code]
• Simplified Graph Learning for Inductive Short Text Classification
  Kaixin Zheng*, Yaqing Wang*†, Quanming Yao, Dejing Dou
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
  [Code]
• Generative Time Series Forecasting with Diffusion, Denoise and Disentanglement
  Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
  Neural Information Processing Systems (NeurIPS), 2022
  [Code]
• Efficient Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization
  Quanming Yao, Yaqing Wang†, Bo Han, James T. Kwok
  Journal of Machine Learning Research (JMLR), 2022
  
• RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning
  Yaqing Wang*, Xin Tian*, Haoyi Xiong, Yueyang Li, Zeyu Chen, Sheng Guo, Dejing Dou
  Findings of the ACL: NAACL (NAACL Findings), 2022
  [Code]
• Recognizing Medical Search Query Intent by Few-shot Learning
  Yaqing Wang*, Song Wang*, Yanyan Li, Dejing Dou
  International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
  
• Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models
  Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
  Machine Learning (MLJ), 2022
  
• Exploring the Common Principal Subspace of Deep Features in Neural Networks
  Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou
  Machine Learning (MLJ), 2022
  
• Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
  Yaqing Wang*, Abulikemu Abuduweili*, Quanming Yao, Dejing Dou
  Neural Information Processing Systems (NeurIPS), 2021
  [Code]
• Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
  Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
  [Code]
• A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning
  Yaqing Wang, Quanming Yao, James T. Kwok
  The Web Conference (TheWebConf, previous WWW), 2021
  
• Generalized Convolutional Sparse Coding with Unknown Noise
  Yaqing Wang, James T. Kwok, Lionel M. Ni
  IEEE Transactions on Image Processing (TIP), 2020
  
• Generalizing from a Few Examples: A Survey on Few-Shot Learning
  Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
  ACM Computing Surveys (CSUR), 2020
  
• Online Convolutional Sparse Coding with Sample-Dependent Dictionary
  Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
  International Conference on Machine Learning (ICML), 2018
  [Code]
• Scalable Online Convolutional Sparse Coding
  Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
  IEEE Transactions on Image Processing (TIP), 2018
  [Code]
• Zero-Shot Learning with a Partial Set of Observed Attributes
  Yaqing Wang, James T. Kwok, Quanming Yao, Lionel M. Ni
  International Joint Conference on Neural Networks (IJCNN), 2017