Wang, Yaqing

18 publications

NeurIPS 2025 Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling Hongyi Nie, Yaqing Wang, Mingyang Zhou, Feiyang Pan, Quanming Yao, Zhen Wang

NeurIPS 2025 Learning to Learn with Contrastive Meta-Objective Shiguang Wu, Yaqing Wang, Yatao Bian, Quanming Yao

ICLR 2025 Why In-Context Learning Models Are Good Few-Shot Learners? Shiguang Wu, Yaqing Wang, Quanming Yao

ECCV 2024 AdaDiff: Accelerating Diffusion Models Through Step-Wise Adaptive Computation Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu

NeurIPS 2024 FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao

CVPR 2024 Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-Rank Experts Jialin Wu, Xia Hu, Yaqing Wang, Bo Pang, Radu Soricut

ICML 2024 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu

ICLRW 2024 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu

IJCAI 2024 PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction Shiguang Wu, Yaqing Wang, Quanming Yao

MLJ 2023 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

AAAI 2023 SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao

CVPR 2023 You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu

MLJ 2022 Exploring the Common Principal Subspace of Deep Features in Neural Networks Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu

NeurIPS 2022 Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou

JMLR 2022 Low-Rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok

NeurIPS 2021 Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou

AAAI 2020 Weak Supervision for Fake News Detection via Reinforcement Learning Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao

ICML 2018 Online Convolutional Sparse Coding with Sample-Dependent Dictionary Yaqing Wang, Quanming Yao, James Tin-Yau Kwok, Lionel M. Ni