| 2026 | AAAI | GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning. | Jiale Fu, Yaqing Wang, Simeng Han, Jiaming Fan, Xu Yang |
| 2026 | AAAI | From Few-Shot Learning to Data-Efficient Intelligence. | Yaqing Wang |
| 2026 | AAAI | MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios. | Xuantang Xiong, Ni Mu, Runpeng Xie, Senhao Yang, Yaqing Wang, Lexiang Wang, Yao Luan, Siyuan Li, Shuang Xu, Yiqin Yang, Bo Xu |
| 2026 | PAKDD | SELAUR: Self Evolving LLM Agent via Uncertainty-Aware Rewards. | Dengjia Zhang, Xiaoou Liu, Lu Cheng, Yaqing Wang, Kenton Murray, Hua Wei |
| 2025 | EMNLP | RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations. | Haihua Xie, Yinzhu Cheng, Yaqing Wang, Miao He, Mingming Sun |
| 2025 | ICLR | Why In-Context Learning Models are Good Few-Shot Learners? | Shiguang Wu, Yaqing Wang, Quanming Yao |
| 2025 | KDD | PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching. | Haotong Du, Yaqing Wang, Fei Xiong, Lei Shao, Ming Liu, Hao Gu, Quanming Yao, Zhen Wang |
| 2024 | ACL | Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. | Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma |
| 2024 | COLING | CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning. | Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma |
| 2024 | CVPR | Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-Rank Experts. | Jialin Wu, Xia Hu, Yaqing Wang, Bo Pang, Radu Soricut |
| 2024 | ECCV | AdaDiff: Accelerating Diffusion Models Through Step-Wise Adaptive Computation. | Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu |
| 2024 | ICML | 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 |
| 2024 | IJCAI | PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction. | Shiguang Wu, Yaqing Wang, Quanming Yao |
| 2024 | KDD | Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. | Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou |
| 2024 | KDD | Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. | Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma |
| 2024 | SDM | MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. | Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma |
| 2023 | AAAI | SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. | Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao |
| 2023 | CVPR | 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 |
| 2023 | EMNLP | HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference. | Haoyu Wang, Yaqing Wang, Tianci Liu, Tuo Zhao, Jing Gao |
| 2023 | EMNLP | Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding. | Haoyu Wang, Yaqing Wang, Huaxiu Yao, Jing Gao |
| 2023 | EMNLP | Hierarchical Pretraining on Multimodal Electronic Health Records. | Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma |
| 2023 | GLOBECOM | An Efficient Auction-Based Edge Server Deployment Scheme for Edge Service Provider. | Yaqing Wang, Shasha Xue, Wei Wang, Zhaohui Li, Yongmin Zhang |
| 2023 | KDD | LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. | Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao |
| 2023 | KDD | Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding. | Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao |
| 2023 | KDD | Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. | Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li |
| 2023 | WWW | ColdNAS: Search to Modulate for User Cold-Start Recommendation. | Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao |
| 2023 | SDM | Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. | Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma |
| 2022 | EMNLP | AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. | Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao |
| 2022 | EMNLP | Simplified Graph Learning for Inductive Short Text Classification. | Kaixin Zheng, Yaqing Wang, Quanming Yao, Dejing Dou |
| 2022 | ICDM | Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. | Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao |
| 2022 | ICRA | Omni-Roach: A Legged Robot Capable of Traversing Multiple Types of Large Obstacles and Self-Righting. | Jonathan Mi, Yaqing Wang, Chen Li |
| 2022 | NAACL | LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. | Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Awadallah, Jianfeng Gao |
| 2022 | NAACL | RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning. | Yaqing Wang, Xin Tian, Haoyi Xiong, Yueyang Li, Zeyu Chen, Sheng Guo, Dejing Dou |
| 2022 | WWW | FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. | Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao |
| 2022 | SIGIR | Recognizing Medical Search Query Intent by Few-shot Learning. | Yaqing Wang, Song Wang, Yanyan Li, Dejing Dou |
| 2021 | CIKM | A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. | Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao |
| 2021 | CIKM | MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. | Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma |
| 2021 | EMNLP | Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework. | Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao |
| 2021 | EMNLP | Knowledge-Guided Paraphrase Identification. | Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao |
| 2021 | EMNLP | Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. | Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou |
| 2021 | KDD | Meta Self-training for Few-shot Neural Sequence Labeling. | Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah |
| 2021 | KDD | Multimodal Emergent Fake News Detection via Meta Neural Process Networks. | Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao |
| 2021 | WWW | A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning. | Yaqing Wang, Quanming Yao, James T. Kwok |
| 2021 | WWW | MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. | Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma |
| 2021 | SDM | Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses. | Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, Jing Gao |
| 2021 | SDM | Fair Classification Under Strict Unawareness. | Haoyu Wang, Hengtong Zhang, Yaqing Wang, Jing Gao |
| 2020 | AAAI | Weak Supervision for Fake News Detection via Reinforcement Learning. | Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao |
| 2020 | CIKM | Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. | Yaqing Wang, Fenglong Ma, Jing Gao |
| 2020 | ICDM | LP-Explain: Local Pictorial Explanation for Outliers. | Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao |
| 2020 | KDD | AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. | 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 |
| 2020 | KDD | Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. | Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao |
| 2020 | SDM | Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. | Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou |
| 2019 | ICDM | Inductive Embedding Learning on Attributed Heterogeneous Networks via Multi-task Sequence-to-Sequence Learning. | Yunfei Chu, Caili Guo, Tongze He, Yaqing Wang, Jenq-Neng Hwang, Chunyan Feng |
| 2019 | KDD | Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. | Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang |
| 2019 | WSDM | Solving the Sparsity Problem in Recommendations via Cross-Domain Item Embedding Based on Co-Clustering. | Yaqing Wang, Chunyan Feng, Caili Guo, Yunfei Chu, Jenq-Neng Hwang |
| 2018 | ICDM | Event2vec: Heterogeneous Hypergraph Embedding for Event Data. | Yunfei Chu, Chunyan Feng, Caili Guo, Yaqing Wang, Jenq-Neng Hwang |
| 2018 | ICDM | Interpretable Word Embeddings for Medical Domain. | Kishlay Jha, Yaqing Wang, Guangxu Xun, Aidong Zhang |
| 2018 | ICDM | MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. | Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang |
| 2018 | ICML | Online Convolutional Sparse Coding with Sample-Dependent Dictionary. | Yaqing Wang, Quanming Yao, James Tin-Yau Kwok, Lionel M. Ni |
| 2018 | KDD | Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. | Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang |
| 2018 | KDD | EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. | Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao |
| 2018 | MOBICOM | Towards Environment Independent Device Free Human Activity Recognition. | Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shuochao Yao, Yaqing Wang, Ye Yuan, Hongfei Xue, Chen Song, Xin Ma, Dimitrios Koutsonikolas, Wenyao Xu, Lu Su |
| 2017 | ICDM | Discovering Truths from Distributed Data. | Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao |
| 2017 | IJCNN | Zero-shot learning with a partial set of observed attributes. | Yaqing Wang, James T. Kwok, Quanming Yao, Lionel M. Ni |
| 2013 | HPCC | An Energy-Aware Ant Colony Optimization Routing Algorithm in the Private Network. | Guohong Kong, Hua Wang, Fuqiang Huang, Shanwen Yi, Yaqing Wang |
| 2013 | HPCC | An Estimation of Distribution Algorithm for Steiner Tree Problem. | Yaqing Wang, Hua Wang, Guohong Kong |