Yaqing Wang - RankMe

59 papers A* 12B 1Journal 40Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DGNet: Discrete Green Networks for Data-Efficient Learning of Spatiotemporal PDEs. CoRR Yingjie Tan, Quanming Yao, Yaqing Wang
2026	A*	`conf`	From Few-Shot Learning to Data-Efficient Intelligence. AAAI Yaqing Wang
2026	J	`jnl`	PSPA-Bench: A Personalized Benchmark for Smartphone GUI Agent. CoRR Hongyi Nie, Xunyuan Liu, Yudong Bai, Yaqing Wang, Yang Liu, Quanming Yao, Zhen Wang
2026	J	`jnl`	Robust heterogeneous network representation learning by multifaceted curriculum training. Neural Networks Zhen Hao Wong, Hansi Yang, Quanming Yao, Yaqing Wang
2026	J	`jnl`	Searching to Modulate for Cold-Start Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. Shiguang Wu, Yaqing Wang, Quanming Yao
2026	J	`jnl`	Self-Generative Adversarial Fine-Tuning for Large Language Models. CoRR Shiguang Wu, Yaqing Wang, Quanming Yao
2025	J	`jnl`	Attending on Multilevel Structure of Proteins enables Accurate Prediction of Cold-Start Drug-Target Interactions. CoRR Ziying Zhang, Yaqing Wang, Yuxuan Sun, Min Ye, Quanming Yao
2025	J	`jnl`	Beyond scaleup: Knowledge-aware parsimony learning from deep networks. AI Mag. Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang
2025	J	`jnl`	Dense Communication between Language Models. CoRR Shiguang Wu, Yaqing Wang, Quanming Yao
2025	J	`jnl`	LLM-Empowered Representation Learning for Emerging Item Recommendation. CoRR Ziying Zhang, Quanming Yao, Yaqing Wang
2025	—	`conf`	PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching. KDD (2) Haotong Du, Yaqing Wang, Fei Xiong, Lei Shao, Ming Liu, Hao Gu, Quanming Yao, Zhen Wang
2025	J	`jnl`	PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching. CoRR Haotong Du, Yaqing Wang, Fei Xiong, Lei Shao, Ming Liu, Hao Gu, Quanming Yao, Zhen Wang
2025	J	`jnl`	Searching Meta Reasoning Skeleton to Guide LLM Reasoning. CoRR Ziying Zhang, Yaqing Wang, Quanming Yao
2025	J	`jnl`	Spectral Alignment as Predictor of Loss Explosion in Neural Network Training. CoRR Haiquan Qiu, You Wu, Yingjie Tan, Yaqing Wang, Quanming Yao
2025	A*	`conf`	Why In-Context Learning Models are Good Few-Shot Learners? ICLR Shiguang Wu, Yaqing Wang, Quanming Yao
2024	J	`jnl`	A Novel Tensor Learning Model for Joint Relational Triplet Extraction. IEEE Trans. Cybern. Zhen Wang, Hongyi Nie, Wei Zheng, Yaqing Wang, Xuelong Li
2024	—	`conf`	ColdU: User Cold-start Recommendation with User-specific Modulation. CAI Daxiang Dong, Shiguang Wu, Yaqing Wang, Jingbo Zhou, Haifeng Wang
2024	J	`jnl`	ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning. CoRR Shiguang Wu, Yaqing Wang, Yatao Bian, Quanming Yao
2024	J	`jnl`	Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs. CoRR Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang
2024	A*	`conf`	PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction. IJCAI Shiguang Wu, Yaqing Wang, Quanming Yao
2024	J	`jnl`	PreGesNet: Few-Shot Acoustic Gesture Recognition Based on Task-Adaptive Pretrained Networks. IEEE Trans. Mob. Comput. Yongpan Zou, Yunshu Wang, Haozhi Dong, Yaqing Wang, Yanbo He, Kaishun Wu
2024	J	`jnl`	Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Quanming Yao, Zhenqian Shen, Yaqing Wang, Dejing Dou
2024	A*	`conf`	Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. KDD Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou
2024	J	`jnl`	Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. CoRR Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou
2023	J	`jnl`	Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning. CoRR Yaqing Wang, Zaifei Yang, Quanming Yao
2023	A*	`conf`	ColdNAS: Search to Modulate for User Cold-Start Recommendation. WWW Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
2023	J	`jnl`	ColdNAS: Search to Modulate for User Cold-Start Recommendation. CoRR Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
2023	J	`jnl`	Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models. Mach. Learn. Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
2023	A*	`conf`	Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. KDD Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li
2023	J	`jnl`	Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. CoRR Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li
2023	J	`jnl`	Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation. IEEE Trans. Serv. Comput. Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Dejing Dou, Yaqing Wang, Haoyi Xiong
2023	J	`jnl`	Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. CoRR Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
2023	J	`jnl`	Hierarchical Adaptation with Hypernetworks for Few-shot Molecular Property Prediction. CoRR Shiguang Wu, Yaqing Wang, Quanming Yao
2022	J	`jnl`	Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models. CoRR Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
2022	J	`jnl`	Exploring the common principal subspace of deep features in neural networks. Mach. Learn. Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu
2022	A*	`conf`	Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. NeurIPS Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
2022	J	`jnl`	Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. CoRR Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok
2022	J	`jnl`	Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. J. Mach. Learn. Res. Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok
2022	—	`conf`	RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning. NAACL-HLT (Findings) Yaqing Wang, Xin Tian, Haoyi Xiong, Yueyang Li, Zeyu Chen, Sheng Guo, Dejing Dou
2022	A*	`conf`	Recognizing Medical Search Query Intent by Few-shot Learning. SIGIR Yaqing Wang, Song Wang, Yanyan Li, Dejing Dou
2022	A*	`conf`	Simplified Graph Learning for Inductive Short Text Classification. EMNLP Kaixin Zheng, Yaqing Wang, Quanming Yao, Dejing Dou
2021	A*	`conf`	A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning. WWW Yaqing Wang, Quanming Yao, James T. Kwok
2021	J	`jnl`	Exploring the Common Principal Subspace of Deep Features in Neural Networks. CoRR Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou
2021	J	`jnl`	Generalizing from a Few Examples: A Survey on Few-shot Learning. ACM Comput. Surv. Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
2021	—	`conf`	Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. EMNLP (1) Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
2021	J	`jnl`	Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. CoRR Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
2021	A*	`conf`	Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. NeurIPS Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou
2021	J	`jnl`	Property-aware Adaptive Relation Networks for Molecular Property Prediction. CoRR Yaqing Wang, Abulikemu Abuduweili, Dejing Dou
2020	J	`jnl`	Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization. CoRR Yaqing Wang, Quanming Yao, James T. Kwok
2020	J	`jnl`	Generalized Convolutional Sparse Coding With Unknown Noise. IEEE Trans. Image Process. Yaqing Wang, James T. Kwok, Lionel M. Ni
2019	J	`jnl`	Few-shot Learning: A Survey. CoRR Yaqing Wang, Quanming Yao
2019	J	`jnl`	General Convolutional Sparse Coding with Unknown Noise. CoRR Yaqing Wang, James T. Kwok, Lionel M. Ni
2018	A*	`conf`	Online Convolutional Sparse Coding with Sample-Dependent Dictionary. ICML Yaqing Wang, Quanming Yao, James Tin-Yau Kwok, Lionel M. Ni
2018	J	`jnl`	Online Convolutional Sparse Coding with Sample-Dependent Dictionary. CoRR Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
2018	J	`jnl`	Scalable Online Convolutional Sparse Coding. IEEE Trans. Image Process. Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
2017	J	`jnl`	Online Convolutional Sparse Coding. CoRR Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
2017	B	`conf`	Zero-shot learning with a partial set of observed attributes. IJCNN Yaqing Wang, James T. Kwok, Quanming Yao, Lionel M. Ni
2013	—	`conf`	An Energy-Aware Ant Colony Optimization Routing Algorithm in the Private Network. HPCC/EUC Guohong Kong, Hua Wang, Fuqiang Huang, Shanwen Yi, Yaqing Wang
2013	—	`conf`	An Estimation of Distribution Algorithm for Steiner Tree Problem. HPCC/EUC Yaqing Wang, Hua Wang, Guohong Kong