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ORCIDYaqing Wang 0002
Person information
- affiliation: Hong Kong University of Science and Technology, Hong Kong, SAR, China
- affiliation: Baidu Research, Baidu Inc., Beijing, China
- affiliation: Beijing Institute of Mathematical Sciences and Applications, Beijing, China
Other persons with the same name
- Yaqing Wang — disambiguation page
- Yaqing Wang 0001
![[0000-0002-1548-0727]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1548-0727")
— Google Deepmind (and 1 more) - Yaqing Wang 0003 — Jinan University, Guangzhou, China
- Yaqing Wang 0004 — Beijing University of Posts and Telecommunications, Beijing, China
- Yaqing Wang 0005 — Chinese University of Hong Kong, Hong Kong, SAR, China
- Yaqing Wang 0006 — Chongqing University, Chongqing, China
- Yaqing Wang 0007 — Google
- Yaqing Wang 0008 — China North Vehicle Research Institute, Beijing, China
- Yaqing Wang 0009 — Johns Hopkins University, Baltimore, MD, USA
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Journal Articles
- 2024
[j10]Quanming Yao, Zhenqian Shen, Yaqing Wang, Dejing Dou:
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5413-5429 (2024)- [j9]Zhen Wang, Hongyi Nie, Wei Zheng, Yaqing Wang, Xuelong Li:
A Novel Tensor Learning Model for Joint Relational Triplet Extraction. IEEE Trans. Cybern. 54(4): 2483-2494 (2024) - [j8]Yongpan Zou, Yunshu Wang, Haozhi Dong, Yaqing Wang, Yanbo He, Kaishun Wu:
PreGesNet: Few-Shot Acoustic Gesture Recognition Based on Task-Adaptive Pretrained Networks. IEEE Trans. Mob. Comput. 23(12): 12811-12829 (2024) - 2023
- [j7]Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou:
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models. Mach. Learn. 112(6): 2193-2209 (2023) - [j6]Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Dejing Dou, Yaqing Wang, Haoyi Xiong:
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation. IEEE Trans. Serv. Comput. 16(5): 3361-3372 (2023) - 2022
- [j5]Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok:
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. J. Mach. Learn. Res. 23: 136:1-136:60 (2022) - [j4]Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu:
Exploring the common principal subspace of deep features in neural networks. Mach. Learn. 111(3): 1125-1157 (2022) - 2021
- [j3]Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni:
Generalizing from a Few Examples: A Survey on Few-shot Learning. ACM Comput. Surv. 53(3): 63:1-63:34 (2021) - 2020
- [j2]Yaqing Wang, James T. Kwok, Lionel M. Ni:
Generalized Convolutional Sparse Coding With Unknown Noise. IEEE Trans. Image Process. 29: 5386-5395 (2020) - 2018
- [j1]Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni:
Scalable Online Convolutional Sparse Coding. IEEE Trans. Image Process. 27(10): 4850-4859 (2018)
Conference and Workshop Papers
- 2024
- [c15]Shiguang Wu, Yaqing Wang, Quanming Yao:
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction. IJCAI 2024: 5208-5216 - [c14]Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou:
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. KDD 2024: 3233-3244 - 2023
- [c13]Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li:
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. KDD 2023: 2547-2558 - [c12]Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao:
ColdNAS: Search to Modulate for User Cold-Start Recommendation. WWW 2023: 1021-1031 - 2022
- [c11]Kaixin Zheng, Yaqing Wang, Quanming Yao, Dejing Dou:
Simplified Graph Learning for Inductive Short Text Classification. EMNLP 2022: 10717-10724 - [c10]Yaqing Wang, Xin Tian, Haoyi Xiong, Yueyang Li, Zeyu Chen, Sheng Guo, Dejing Dou:
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning. NAACL-HLT (Findings) 2022: 1078-1084 - [c9]Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou:
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. NeurIPS 2022 - [c8]Yaqing Wang, Song Wang, Yanyan Li, Dejing Dou:
Recognizing Medical Search Query Intent by Few-shot Learning. SIGIR 2022: 502-512 - 2021
- [c7]Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou:
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. EMNLP (1) 2021: 3091-3101 - [c6]Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou:
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. NeurIPS 2021: 17441-17454 - [c5]Yaqing Wang, Quanming Yao, James T. Kwok:
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning. WWW 2021: 1798-1808 - 2018
- [c4]Yaqing Wang, Quanming Yao, James Tin-Yau Kwok, Lionel M. Ni:
Online Convolutional Sparse Coding with Sample-Dependent Dictionary. ICML 2018: 5196-5205 - 2017
- [c3]Yaqing Wang, James T. Kwok, Quanming Yao, Lionel M. Ni:
Zero-shot learning with a partial set of observed attributes. IJCNN 2017: 3777-3784 - 2013
- [c2]Guohong Kong, Hua Wang, Fuqiang Huang, Shanwen Yi, Yaqing Wang:
An Energy-Aware Ant Colony Optimization Routing Algorithm in the Private Network. HPCC/EUC 2013: 1681-1686 - [c1]Yaqing Wang, Hua Wang, Guohong Kong:
An Estimation of Distribution Algorithm for Steiner Tree Problem. HPCC/EUC 2013: 1687-1692
Informal and Other Publications
- 2024
- [i18]Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang:
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs. CoRR abs/2407.00478 (2024) - [i17]Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou:
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. CoRR abs/2407.10112 (2024) - [i16]Shiguang Wu, Yaqing Wang, Yatao Bian, Quanming Yao:
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning. CoRR abs/2410.05975 (2024) - 2023
- [i15]Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou:
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. CoRR abs/2301.03028 (2023) - [i14]Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao:
ColdNAS: Search to Modulate for User Cold-Start Recommendation. CoRR abs/2306.03387 (2023) - [i13]Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li:
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. CoRR abs/2307.11004 (2023) - [i12]Shiguang Wu, Yaqing Wang, Quanming Yao:
Hierarchical Adaptation with Hypernetworks for Few-shot Molecular Property Prediction. CoRR abs/2310.00614 (2023) - [i11]Yaqing Wang, Zaifei Yang, Quanming Yao:
Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning. CoRR abs/2311.15056 (2023) - 2022
- [i10]Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok:
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. CoRR abs/2205.03059 (2022) - [i9]Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou:
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models. CoRR abs/2207.03335 (2022) - 2021
- [i8]Yaqing Wang, Abulikemu Abuduweili, Dejing Dou:
Property-aware Adaptive Relation Networks for Molecular Property Prediction. CoRR abs/2107.07994 (2021) - [i7]Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou:
Exploring the Common Principal Subspace of Deep Features in Neural Networks. CoRR abs/2110.02863 (2021) - [i6]Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou:
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. CoRR abs/2111.00180 (2021) - 2020
- [i5]Yaqing Wang, Quanming Yao, James T. Kwok:
Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization. CoRR abs/2008.06542 (2020) - 2019
- [i4]Yaqing Wang, James T. Kwok, Lionel M. Ni:
General Convolutional Sparse Coding with Unknown Noise. CoRR abs/1903.03253 (2019) - [i3]Yaqing Wang, Quanming Yao:
Few-shot Learning: A Survey. CoRR abs/1904.05046 (2019) - 2018
- [i2]Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni:
Online Convolutional Sparse Coding with Sample-Dependent Dictionary. CoRR abs/1804.10366 (2018) - 2017
- [i1]Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni:
Online Convolutional Sparse Coding. CoRR abs/1706.06972 (2017)
Coauthor Index
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