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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://anthro-https-dblp.dagstuhl.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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2020 – today
- 2026
[j14]Zhen Hao Wong, Hansi Yang, Quanming Yao, Yaqing Wang:
Robust heterogeneous network representation learning by multifaceted curriculum training. Neural Networks 196: 108438 (2026)- [j13]Shiguang Wu, Yaqing Wang, Quanming Yao:
Searching to Modulate for Cold-Start Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. 48(5): 5710-5724 (2026) - [j12]Yihong Chen, Shuai Wang, Yaqing Wang, Quanming Yao:
A Survey on Benchmarks of LLM-based GUI Agents. Trans. Mach. Learn. Res. 2026 (2026) - [c20]Yaqing Wang:
From Few-Shot Learning to Data-Efficient Intelligence. AAAI 2026: 39834-39835 - [i29]Shiguang Wu, Yaqing Wang, Quanming Yao:
Self-Generative Adversarial Fine-Tuning for Large Language Models. CoRR abs/2602.01137 (2026) - [i28]Yingjie Tan, Quanming Yao, Yaqing Wang:
DGNet: Discrete Green Networks for Data-Efficient Learning of Spatiotemporal PDEs. CoRR abs/2603.01762 (2026) - [i27]Hongyi Nie, Xunyuan Liu, Yudong Bai, Yaqing Wang, Yang Liu, Quanming Yao, Zhen Wang:
PSPA-Bench: A Personalized Benchmark for Smartphone GUI Agent. CoRR abs/2603.29318 (2026) - [i26]Shuhan Guo, Kun Zhang, Haifei Liu, Xingyu Gao, Yongqi Zhang, Yaqing Wang, Quanming Yao:
ContextFlow: Hierarchical Task-State Alignment for Long-Horizon Embodied Agents. CoRR abs/2605.19314 (2026) - [i25]Zaifei Yang, Weiyu Chen, Yaqing Wang, James T. Kwok:
Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design. CoRR abs/2606.00555 (2026) - 2025
- [j11]Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang:
Beyond scaleup: Knowledge-aware parsimony learning from deep networks. AI Mag. 46(1) (2025) - [c19]Shiguang Wu, Yaqing Wang, Quanming Yao:
Why In-Context Learning Models are Good Few-Shot Learners? ICLR 2025 - [c18]Haotong Du, Yaqing Wang, Fei Xiong, Lei Shao, Ming Liu, Hao Gu, Quanming Yao, Zhen Wang:
PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching. KDD (2) 2025: 531-542 - [c17]Hongyi Nie, Yaqing Wang, Mingyang Zhou, Feiyang Pan, Quanming Yao, Zhen Wang:
Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling. NeurIPS 2025 - [i24]Shiguang Wu, Yaqing Wang, Quanming Yao:
Dense Communication between Language Models. CoRR abs/2505.12741 (2025) - [i23]Haotong Du, Yaqing Wang, Fei Xiong, Lei Shao, Ming Liu, Hao Gu, Quanming Yao, Zhen Wang:
PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching. CoRR abs/2506.18382 (2025) - [i22]Ziying Zhang, Yaqing Wang, Quanming Yao:
Searching Meta Reasoning Skeleton to Guide LLM Reasoning. CoRR abs/2510.04116 (2025) - [i21]Ziying Zhang, Yaqing Wang, Yuxuan Sun, Min Ye, Quanming Yao:
Attending on Multilevel Structure of Proteins enables Accurate Prediction of Cold-Start Drug-Target Interactions. CoRR abs/2510.04126 (2025) - [i20]Haiquan Qiu, You Wu, Yingjie Tan, Yaqing Wang, Quanming Yao:
Spectral Alignment as Predictor of Loss Explosion in Neural Network Training. CoRR abs/2510.04202 (2025) - [i19]Ziying Zhang, Quanming Yao, Yaqing Wang:
LLM-Empowered Representation Learning for Emerging Item Recommendation. CoRR abs/2512.10370 (2025) - 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) - [c16]Daxiang Dong, Shiguang Wu, Yaqing Wang, Jingbo Zhou, Haifeng Wang:
ColdU: User Cold-start Recommendation with User-specific Modulation. CAI 2024: 326-331 - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [j2]Yaqing Wang, James T. Kwok, Lionel M. Ni:
Generalized Convolutional Sparse Coding With Unknown Noise. IEEE Trans. Image Process. 29: 5386-5395 (2020) - [i5]Yaqing Wang, Quanming Yao, James T. Kwok:
Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization. CoRR abs/2008.06542 (2020)
2010 – 2019
- 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
- [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) - [c4]Yaqing Wang, Quanming Yao, James Tin-Yau Kwok, Lionel M. Ni:
Online Convolutional Sparse Coding with Sample-Dependent Dictionary. ICML 2018: 5196-5205 - [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
- [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 - [i1]Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni:
Online Convolutional Sparse Coding. CoRR abs/1706.06972 (2017) - 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
Coauthor Index
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last updated on 2026-07-20 01:25 CEST by the dblp team
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