Discovering Truths from Distributed Data. - Yaqing Wang 001; Fenglong Ma; Lu Su 001; Jing Gao 004 (ICDM, 2017)

Leveraging the Power of Informative Users for Local Event Detection. - Hengtong Zhang; Fenglong Ma; Yaliang Li; Chao Zhang 014; Tianqi Wang; Yaqing Wang 001; Jing Gao 004; Lu Su 001 (ASONAM, 2018)

A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions. - Fenglong Ma; Yaqing Wang 001; Houping Xiao; Ye Yuan 006; Radha Chitta; Jing Zhou; Jing Gao 004 (BIBM, 2018)

Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks. - Ye Yuan 006; Kebin Jia; Fenglong Ma; Guangxu Xun; Yaqing Wang 001; Lu Su 001; Aidong Zhang (BIBM, 2018)

Interpretable Word Embeddings for Medical Domain. - Kishlay Jha; Yaqing Wang 001; Guangxu Xun; Aidong Zhang (ICDM, 2018)

MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. - Ye Yuan 006; Guangxu Xun; Fenglong Ma; Yaqing Wang 001; Nan Du 001; Kebin Jia; Lu Su 001; Aidong Zhang (ICDM, 2018)

Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. - Kishlay Jha; Guangxu Xun; Yaqing Wang 001; Vishrawas Gopalakrishnan; Aidong Zhang (KDD, 2018)

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. - Yaqing Wang 001; Fenglong Ma; Zhiwei Jin; Ye Yuan 006; Guangxu Xun; Kishlay Jha; Lu Su 001; Jing Gao 004 (KDD, 2018)

Towards Environment Independent Device Free Human Activity Recognition. - Wenjun Jiang; Chenglin Miao; Fenglong Ma; Shuochao Yao; Yaqing Wang 001; Ye Yuan 006; Hongfei Xue; Chen Song 001; Xin Ma 006; Dimitrios Koutsonikolas; Wenyao Xu; Lu Su 001 (MobiCom, 2018)

Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. - Kishlay Jha; Guangxu Xun; Yaqing Wang 001; Aidong Zhang (KDD, 2019)

MeSHProbeNet: a self-attentive probe net for MeSH indexing. - Guangxu Xun; Kishlay Jha; Ye Yuan 006; Yaqing Wang 001; Aidong Zhang (Bioinform., 2019)

A hybrid self-attention deep learning framework for multivariate sleep stage classification. - Ye Yuan 006; Kebin Jia; Fenglong Ma; Guangxu Xun; Yaqing Wang 001; Lu Su 001; Aidong Zhang (BMC Bioinform., 2019)

Incorporating medical code descriptions for diagnosis prediction in healthcare. - Fenglong Ma; Yaqing Wang 001; Houping Xiao; Ye Yuan 006; Radha Chitta; Jing Zhou; Jing Gao 004 (BMC Medical Informatics Decis. Mak., 2019)

Weak Supervision for Fake News Detection via Reinforcement Learning. - Yaqing Wang 001; Weifeng Yang; Fenglong Ma; Jin Xu; Bin Zhong; Qiang Deng; Jing Gao 004 (AAAI, 2020)

Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. - Yaqing Wang 001; Fenglong Ma; Jing Gao 004 (CIKM, 2020)

LP-Explain: Local Pictorial Explanation for Outliers. - Haoyu Liu; Fenglong Ma; Yaqing Wang 001; Shibo He; Jiming Chen 001; Jing Gao 004 (ICDM, 2020)

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. - Xin Luna Dong; Xiang He 007; Andrey Kan; Xian Li; Yan Liang 004; Jun Ma 029; Yifan Ethan Xu; Chenwei Zhang; Tong Zhao 002; Gabriel Blanco Saldana; Saurabh Deshpande; Alexandre Michetti Manduca; et al. (KDD, 2020)

Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. - Yaqing Wang 001; Yifan Ethan Xu; Xian Li; Xin Luna Dong; Jing Gao 004 (KDD, 2020)

Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. - Fenglong Ma; Yaqing Wang 001; Jing Gao 004; Houping Xiao; Jing Zhou (SDM, 2020)

Decomposed Adversarial Learned Inference. - Alexander Hanbo Li; Yaqing Wang 001; Changyou Chen; Jing Gao 004 (CoRR, 2020)

Adaptive Self-training for Few-shot Neural Sequence Labeling. - Yaqing Wang 001; Subhabrata Mukherjee; Haoda Chu; Yuancheng Tu; Ming Wu; Jing Gao 004; Ahmed Hassan Awadallah (CoRR, 2020)

A Benchmark Dataset for Understandable Medical Language Translation. - Junyu Luo 001; Zifei Zheng; Hanzhong Ye; Muchao Ye; Yaqing Wang 001; Quanzeng You; Cao Xiao; Fenglong Ma (CoRR, 2020)

FedSemi: An Adaptive Federated Semi-Supervised Learning Framework. - Zewei Long; Liwei Che; Yaqing Wang 001; Muchao Ye; Junyu Luo 001; Jinze Wu; Houping Xiao; Fenglong Ma (CoRR, 2020)

InterHG: an Interpretable and Accurate Model for Hypothesis Generation. - Haoyu Wang 004; Xuan Wang 008; Yaqing Wang 001; Guangxu Xun; Kishlay Jha; Jing Gao 004 (BIBM, 2021)

FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. - Liwei Che; Zewei Long; Jiaqi Wang 002; Yaqing Wang 001; Houping Xiao; Fenglong Ma (IEEE BigData, 2021)

A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. - Haoyu Wang 004; Yaqing Wang 001; Defu Lian; Jing Gao 004 (CIKM, 2021)

MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. - Muchao Ye; Suhan Cui; Yaqing Wang 001; Junyu Luo 001; Cao Xiao; Fenglong Ma (CIKM, 2021)

Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework. - Yaqing Wang 001; Haoda Chu; Chao Zhang 014; Jing Gao 004 (EMNLP (Findings), 2021)

Knowledge-Guided Paraphrase Identification. - Haoyu Wang 004; Fenglong Ma; Yaqing Wang 001; Jing Gao 004 (EMNLP (Findings), 2021)

Meta Self-training for Few-shot Neural Sequence Labeling. - Yaqing Wang 001; Subhabrata Mukherjee; Haoda Chu; Yuancheng Tu; Ming Wu; Jing Gao 004; Ahmed Hassan Awadallah (KDD, 2021)

Multimodal Emergent Fake News Detection via Meta Neural Process Networks. - Yaqing Wang 001; Fenglong Ma; Haoyu Wang 004; Kishlay Jha; Jing Gao 004 (KDD, 2021)

Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses. - Tianqi Wang; Fenglong Ma; Yaqing Wang 001; Tang Tang; Longfei Zhang; Jing Gao 004 (SDM, 2021)

Fair Classification Under Strict Unawareness. - Haoyu Wang 004; Hengtong Zhang; Yaqing Wang 001; Jing Gao 004 (SDM, 2021)

MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. - Muchao Ye; Suhan Cui; Yaqing Wang 001; Junyu Luo 001; Cao Xiao; Fenglong Ma (WWW, 2021)

FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. - Zewei Long; Jiaqi Wang 002; Yaqing Wang 001; Houping Xiao; Fenglong Ma (CoRR, 2021)

LiST: Lite Self-training Makes Efficient Few-shot Learners. - Yaqing Wang 001; Subhabrata Mukherjee; Xiaodong Liu 003; Jing Gao 004; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2021)

AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. - Yaqing Wang 001; Sahaj Agarwal; Subhabrata Mukherjee; Xiaodong Liu 003; Jing Gao 004; Ahmed Hassan Awadallah; Jianfeng Gao 001 (EMNLP, 2022)

Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. - Tianqi Wang; Fenglong Ma; Yaqing Wang 001; Jing Gao 004 (ICDM, 2022)

LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. - Yaqing Wang 001; Subhabrata Mukherjee; Xiaodong Liu 003; Jing Gao 004; Ahmed Awadallah 001; Jianfeng Gao 001 (NAACL-HLT (Findings), 2022)

FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. - Haoyu Wang 004; Handong Zhao; Yaqing Wang 001; Tong Yu 001; Jiuxiang Gu; Jing Gao 004 (WWW, 2022)

AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models. - Yaqing Wang 001; Subhabrata Mukherjee; Xiaodong Liu 003; Jing Gao 004; Ahmed Hassan Awadallah; Jianfeng Gao 001 (CoRR, 2022)

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. - Tianci Liu 003; Haoyu Wang 004; Yaqing Wang 001; Xiaoqian Wang 001; Lu Su 001; Jing Gao 004 (AAAI, 2023)

You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. - Shengkun Tang; Yaqing Wang 001; Zhenglun Kong; Tianchi Zhang 004; Yao Li 015; Caiwen Ding; Yanzhi Wang; Yi Liang; Dongkuan Xu (CVPR, 2023)

HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference. - Haoyu Wang 004; Yaqing Wang 001; Tianci Liu 003; Tuo Zhao; Jing Gao 004 (EMNLP (Findings), 2023)

Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding. - Haoyu Wang 004; Yaqing Wang 001; Huaxiu Yao; Jing Gao 004 (EMNLP (Findings), 2023)

Hierarchical Pretraining on Multimodal Electronic Health Records. - Xiaochen Wang 002; Junyu Luo 001; Jiaqi Wang 002; Ziyi Yin 003; Suhan Cui; Yuan Zhong 002; Yaqing Wang 001; Fenglong Ma (EMNLP, 2023)

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. - Haoyu Wang 004; Ruirui Li 002; Haoming Jiang; Zhengyang Wang; Xianfeng Tang; Bin Bi; Monica Xiao Cheng; Bing Yin; Yaqing Wang 001; Tuo Zhao; Jing Gao 004 (KDD, 2023)

Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding. - Haoyu Wang 004; Yaqing Wang 001; Feijie Wu; Hongfei Xue; Jing Gao 004 (KDD, 2023)

Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. - Jiaqi Wang 002; Shenglai Zeng; Zewei Long; Yaqing Wang 001; Houping Xiao; Fenglong Ma (SDM, 2023)

DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation. - Shengkun Tang; Yaqing Wang 001; Caiwen Ding; Yi Liang; Yao Li 015; Dongkuan Xu (CoRR, 2023)

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. - Xiaochen Wang 002; Junyu Luo 001; Jiaqi Wang 002; Yuan Zhong 002; Xiaokun Zhang 001; Yaqing Wang 001; Parminder Bhatia; Cao Xiao; Fenglong Ma (ACL (1), 2024)

CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning. - Junyu Luo 001; Xiaochen Wang 002; Jiaqi Wang 002; Aofei Chang; Yaqing Wang 001; Fenglong Ma (LREC/COLING, 2024)

AdaDiff: Accelerating Diffusion Models Through Step-Wise Adaptive Computation. - Shengkun Tang; Yaqing Wang 001; Caiwen Ding; Yi Liang; Yao Li 015; Dongkuan Xu (ECCV (79), 2024)

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. - Yuan Zhong 002; Xiaochen Wang 002; Jiaqi Wang 002; Xiaokun Zhang 001; Yaqing Wang 001; Mengdi Huai; Cao Xiao; Fenglong Ma (KDD, 2024)

FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction. - Feijie Wu; Xingchen Wang; Yaqing Wang 001; Tianci Liu 003; Lu Su 001; Jing Gao 004 (NeurIPS, 2024)

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. - Yuan Zhong 002; Suhan Cui; Jiaqi Wang 002; Xiaochen Wang 002; Ziyi Yin 003; Yaqing Wang 001; Houping Xiao; Mengdi Huai; Ting Wang 006; Fenglong Ma (SDM, 2024)