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Yaqing Wang 0001
Person information
- affiliation: Google Deepmind
- affiliation (Ph.D.): Purdue University, IN, USA
Other persons with the same name
- Yaqing Wang — disambiguation page
- Yaqing Wang 0002
— Hong Kong University of Science and Technology, Hong Kong, SAR, China (and 2 more)
- Yaqing Wang 0003 — Jinan University, Guangzhou, China
- Yaqing Wang 0004
- Yaqing Wang 0005
- Yaqing Wang 0006
- 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
- 2024
- [c44]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: 3644-3656 - [c43]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: 3997-4007 - [c42]Shengkun Tang, Yaqing Wang
AdaDiff: Accelerating Diffusion Models Through Step-Wise Adaptive Computation. ECCV (79) 2024: 73-90 - [c41]Yuan Zhong
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. KDD 2024: 4607-4618 - [c40]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: 499-507 - [i23]Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma:
CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning. CoRR abs/2402.15700 (2024) - [i22]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 abs/2406.13942 (2024) - [i21]Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao:
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction. CoRR abs/2407.19389 (2024) - 2023
- [c39]Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao:
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. AAAI 2023: 14338-14346 - [c38]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: 10781-10791 - [c37]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: 2839-2852 - [c36]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: 4283-4294 - [c35]Haoyu Wang, Yaqing Wang, Huaxiu Yao, Jing Gao:
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding. EMNLP (Findings) 2023: 12426-12436 - [c34]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: 2302-2313 - [c33]Haoyu Wang
Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding. KDD 2023: 5061-5070 - [c32]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: 496-504 - [i20]Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao:
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. CoRR abs/2302.09683 (2023) - [i19]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 abs/2303.02668 (2023) - [i18]Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu:
DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation. CoRR abs/2309.17074 (2023) - [i17]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 abs/2310.02520 (2023) - [i16]Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma:
Hierarchical Pretraining on Multimodal Electronic Health Records. CoRR abs/2310.07871 (2023) - 2022
- [c31]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: 5744-5760 - [c30]Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao:
Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. ICDM 2022: 1203-1208 - [c29]Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Awadallah, Jianfeng Gao:
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. NAACL-HLT (Findings) 2022: 2262-2281 - [c28]Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao:
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. WWW 2022: 1839-1850 - [i15]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 abs/2205.12410 (2022) - [i14]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 abs/2211.11152 (2022) - 2021
- [c27]Haoyu Wang, Xuan Wang
InterHG: an Interpretable and Accurate Model for Hypothesis Generation. BIBM 2021: 1552-1557 - [c26]Liwei Che
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. IEEE BigData 2021: 715-724 - [c25]Haoyu Wang, Yaqing Wang, Defu Lian
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. CIKM 2021: 1909-1918 - [c24]Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. CIKM 2021: 2414-2423 - [c23]Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao:
Knowledge-Guided Paraphrase Identification. EMNLP (Findings) 2021: 843-853 - [c22]Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao:
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework. EMNLP (Findings) 2021: 1618-1630 - [c21]Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu
Meta Self-training for Few-shot Neural Sequence Labeling. KDD 2021: 1737-1747 - [c20]Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. KDD 2021: 3708-3716 - [c19]Haoyu Wang, Hengtong Zhang, Yaqing Wang, Jing Gao:
Fair Classification Under Strict Unawareness. SDM 2021: 199-207 - [c18]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: 693-701 - [c17]Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. WWW 2021: 1397-1409 - [i13]Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao:
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. CoRR abs/2106.13711 (2021) - [i12]Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. CoRR abs/2109.04533 (2021) - [i11]Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao:
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework. CoRR abs/2109.05357 (2021) - [i10]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 abs/2109.05612 (2021) - [i9]Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao:
LiST: Lite Self-training Makes Efficient Few-shot Learners. CoRR abs/2110.06274 (2021) - 2020
- [c16]Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao:
Weak Supervision for Fake News Detection via Reinforcement Learning. AAAI 2020: 516-523 - [c15]Yaqing Wang, Fenglong Ma, Jing Gao:
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. CIKM 2020: 1595-1604 - [c14]Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao:
LP-Explain: Local Pictorial Explanation for Outliers. ICDM 2020: 372-381 - [c13]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: 2533-2541 - [c12]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [c11]Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou:
Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. SDM 2020: 514-522 - [i8]Alexander Hanbo Li, Yaqing Wang, Changyou Chen, Jing Gao:
Decomposed Adversarial Learned Inference. CoRR abs/2004.10267 (2020) - [i7]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 abs/2006.08779 (2020) - [i6]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020) - [i5]Yaqing Wang, Fenglong Ma, Jing Gao:
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. CoRR abs/2008.06995 (2020) - [i4]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 abs/2010.03680 (2020) - [i3]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 abs/2012.02420 (2020) - [i2]Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma:
FedSemi: An Adaptive Federated Semi-Supervised Learning Framework. CoRR abs/2012.03292 (2020)
2010 – 2019
- 2019
- [j3]Guangxu Xun
MeSHProbeNet: a self-attentive probe net for MeSH indexing. Bioinform. 35(19): 3794-3802 (2019) - [j2]Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun
A hybrid self-attention deep learning framework for multivariate sleep stage classification. BMC Bioinform. 20-S(16): 586:1-586:10 (2019) - [j1]Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao:
Incorporating medical code descriptions for diagnosis prediction in healthcare. BMC Medical Informatics Decis. Mak. 19-S(6): 267 (2019) - [c10]Kishlay Jha
Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. KDD 2019: 843-851 - [i1]Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao:
Weak Supervision for Fake News Detection via Reinforcement Learning. CoRR abs/1912.12520 (2019) - 2018
- [c9]Hengtong Zhang, Fenglong Ma, Yaliang Li, Chao Zhang
Leveraging the Power of Informative Users for Local Event Detection. ASONAM 2018: 429-436 - [c8]Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun
Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks. BIBM 2018: 963-968 - [c7]Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao:
A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions. BIBM 2018: 1070-1075 - [c6]Ye Yuan, Guangxu Xun
MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. ICDM 2018: 717-726 - [c5]Kishlay Jha
Interpretable Word Embeddings for Medical Domain. ICDM 2018: 1061-1066 - [c4]Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. KDD 2018: 849-857 - [c3]Kishlay Jha
Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. KDD 2018: 1599-1607 - [c2]Wenjun Jiang, Chenglin Miao
Towards Environment Independent Device Free Human Activity Recognition. MobiCom 2018: 289-304 - 2017
- [c1]Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao:
Discovering Truths from Distributed Data. ICDM 2017: 505-514
Coauthor Index
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