Yaqing Wang

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 134

Top Venues

Publications

Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. KDD (2024)
Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma
CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning. CoRR (2024)
Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. SDM (2024)
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) (2024)
Yaqing Wang, Ling Xu, Chen Li
Force sensing to reconstruct potential energy landscapes for cluttered large obstacle traversal. CoRR (2024)
Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma
CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning. LREC/COLING (2024)
Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. CoRR (2024)
Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs. CoRR (2024)
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) (2024)
Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. KDD (2024)
Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction. CoRR (2024)
Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. CoRR (2024)
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. ACL (1) (2024)
Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. CoRR (2023)
Jialin Wu, Xia Hu, Yaqing Wang, Bo Pang, Radu Soricut
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts. CoRR (2023)
Jiahao Wu, Taowang Wang, Huanhuan Guo, Yaqing Wang, Dezhao Guo, Bo Lu, Ziyi Wang, Fangxun Zhong, Hesheng Wang, Jiangjing Yuan, Yuhong Li, Tak Hong Cheung, Yudong Wang, Yunhui Liu
Design, Control, and Experiments of a Novel Robotic Uterine Manipulator With the Motorized 3-DoF Manipulation Rod. IEEE Trans. Biomed. Eng. 70 (7) (2023)
Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. CoRR (2023)
Haoyu Wang, Yaqing Wang, Huaxiu Yao, Jing Gao
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding. EMNLP (Findings) (2023)
Haoyu Wang, Yaqing Wang, Tianci Liu, Tuo Zhao, Jing Gao
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference. EMNLP (Findings) (2023)
Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. AAAI (2023)
Sifang Zhao, Dewen Tian, Yongliang Ni, Yaqing Wang, Jiawei Chen, Jiaqun Xu
The Co-simulation of PMSM Control System Based on the Equivalent Circuit Extraction Model. ICIS (2023)
Li Li, Lun Tang, Qinghai Liu, Yaqing Wang, Xiaoqiang He, Qianbin Chen
Handoff Control and Resource Allocation for RAN Slicing in IoT Based on DTN: An Improved Algorithm Based on Actor-Critic Framework. IEEE Internet Things J. 10 (15) (2023)
Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. KDD (2023)
Shiguang Wu, Yaqing Wang, Quanming Yao
Hierarchical Adaptation with Hypernetworks for Few-shot Molecular Property Prediction. CoRR (2023)
Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. KDD (2023)
Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. CoRR (2023)
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma
Hierarchical Pretraining on Multimodal Electronic Health Records. CoRR (2023)
Yaqing Wang, Zaifei Yang, Quanming Yao
Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning. CoRR (2023)
Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao
Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding. KDD (2023)
Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, Michael Bendersky
Teach LLMs to Personalize - An Approach inspired by Writing Education. CoRR (2023)
Yaqing Wang, Jiepu Jiang, Mingyang Zhang, Cheng Li, Yi Liang, Qiaozhu Mei, Michael Bendersky
Automated Evaluation of Personalized Text Generation using Large Language Models. CoRR (2023)
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) (2023)
Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. CVPR (2023)
Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
ColdNAS: Search to Modulate for User Cold-Start Recommendation. CoRR (2023)
Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Mykola Pechenizkiy, Yi Liang, Zhangyang Wang, Shiwei Liu
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity. CoRR (2023)
Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. SDM (2023)
Yaqing Wang, Shasha Xue, Wei Wang, Zhaohui Li, Yongmin Zhang
An Efficient Auction-Based Edge Server Deployment Scheme for Edge Service Provider. GLOBECOM (2023)
Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu
DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation. CoRR (2023)
Li Li, Lun Tang, Qinghai Liu, Yaqing Wang, Xiaoqiang He, Qianbin Chen
DTN-Assisted Dynamic Cooperative Slicing for Delay-Sensitive Service in MEC-Enabled IoT via Deep Deterministic Policy Gradient With Variable Action. IEEE Internet Things J. 10 (12) (2023)
Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. CoRR (2023)
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma
Hierarchical Pretraining on Multimodal Electronic Health Records. EMNLP (2023)
Yaqing Wang, Jialin Wu, Tanmaya Dabral, Jiageng Zhang, Geoff Brown, Chun-Ta Lu, Frederick Liu, Yi Liang, Bo Pang, Michael Bendersky, Radu Soricut
Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling. CoRR (2023)
Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
ColdNAS: Search to Modulate for User Cold-Start Recommendation. WWW (2023)
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) (2023)
Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. CoRR (2023)
Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. NAACL-HLT (Findings) (2022)
Jonathan Mi, Yaqing Wang, Chen Li
Omni-Roach: A Legged Robot Capable of Traversing Multiple Types of Large Obstacles and Self-Righting. ICRA (2022)
Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. EMNLP (2022)
Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao
Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. ICDM (2022)
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) (2022)
Yaqing Wang, Song Wang, Yanyan Li, Dejing Dou
Recognizing Medical Search Query Intent by Few-shot Learning. SIGIR (2022)
Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. CoRR (2022)
Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. NeurIPS (2022)
Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. WWW (2022)
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)
Kaixin Zheng, Yaqing Wang, Quanming Yao, Dejing Dou
Simplified Graph Learning for Inductive Short Text Classification. EMNLP (2022)
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 (2022)
Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. J. Mach. Learn. Res. 23 (2022)
Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. CoRR (2022)
Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models. CoRR (2022)
Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. CoRR (2022)
Yaqing Wang, Shiyong Chen, Yucheng Wu, Chengxin Zhao
Maximizing Average Throughput of Cooperative Cognitive Radio Networks Based on Energy Harvesting. Sensors 22 (22) (2022)
Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. IEEE BigData (2021)
Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. NeurIPS (2021)
Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou
Exploring the Common Principal Subspace of Deep Features in Neural Networks. CoRR (2021)
Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
LiST: Lite Self-training Makes Efficient Few-shot Learners. CoRR (2021)
Haoyu Wang, Hengtong Zhang, Yaqing Wang, Jing Gao
Fair Classification Under Strict Unawareness. SDM (2021)
Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao
Knowledge-Guided Paraphrase Identification. EMNLP (Findings) (2021)
Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao
InterHG: an Interpretable and Accurate Model for Hypothesis Generation. BIBM (2021)
Wei Chen, Jianshu Zhou, Shing Shin Cheng, Yiang Lu, Fangxun Zhong, Yuan Gao, Yaqing Wang, Lingbin Xue, Michael C. F. Tong, Yun-Hui Liu
Tele-Operated Oropharyngeal Swab (TOOS) RobotEnabled by TSS Soft Hand for Safe and EffectiveCOVID-19 OP Sampling. CoRR (2021)
Qihan Xuan, Yaqing Wang, Chen Li
Environmental force sensing enables robots to traverse cluttered obstacles with interaction. CoRR (2021)
Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. CoRR (2021)
Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. EMNLP (1) (2021)
Jonathan Mi, Yaqing Wang, Chen Li
Omni-Roach: A legged robot capable of traversing multiple types of large obstacles and self-righting. CoRR (2021)
Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework. EMNLP (Findings) (2021)
Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. CIKM (2021)
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. CoRR (2021)
Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. CoRR (2021)
Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. CIKM (2021)
Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. WWW (2021)
Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, Jing Gao
Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses. SDM (2021)
Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework. CoRR (2021)
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. KDD (2021)
Yaqing Wang, Abulikemu Abuduweili, Dejing Dou
Property-aware Adaptive Relation Networks for Molecular Property Prediction. CoRR (2021)
Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah
Meta Self-training for Few-shot Neural Sequence Labeling. KDD (2021)
Yaqing Wang, Quanming Yao, James T. Kwok
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning. WWW (2021)
Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. CoRR (2021)
Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao
LP-Explain: Local Pictorial Explanation for Outliers. ICDM (2020)
Alexander Hanbo Li, Yaqing Wang, Changyou Chen, Jing Gao
Decomposed Adversarial Learned Inference. CoRR (2020)
Yaqing Wang, Quanming Yao, James T. Kwok
Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization. CoRR (2020)
Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD (2020)
Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou
Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. SDM (2020)
Yaqing Wang, Caili Guo, Yunfei Chu, Jenq-Neng Hwang, Chunyan Feng
A cross-domain hierarchical recurrent model for personalized session-based recommendations. Neurocomputing 380 (2020)
Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah
Adaptive Self-training for Few-shot Neural Sequence Labeling. CoRR (2020)
Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma
A Benchmark Dataset for Understandable Medical Language Translation. CoRR (2020)
Yaqing Wang, James T. Kwok, Lionel M. Ni
Generalized Convolutional Sparse Coding With Unknown Noise. IEEE Trans. Image Process. 29 (2020)
Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. CoRR (2020)
Fangxun Zhong, Zerui Wang, Wei Chen, Kejing He, Yaqing Wang, Yun-Hui Liu
Hand-Eye Calibration of Surgical Instrument for Robotic Surgery Using Interactive Manipulation. IEEE Robotics Autom. Lett. 5 (2) (2020)
Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. KDD (2020)
Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yaqing Wang