Towards an Optimization-Based Method for Consolidating Domain Variabilities in Domain-Specific Web Services Composition. - Junfeng Zhao 001; Lu Zhang 023; Yasha Wang; Ying Jiang; Bing Xie (ICTAC, 2004)

A Process Management Tool Supporting Component-Based Process Development and Hierarchical Management Mechanism. - Yasha Wang; Dongni Li; Xiaoyang He (CIT, 2005)

A Novel Media Access Control Algorithm Within Single Cluster in Hierarchical Ad Hoc Networks. - Dongni Li; Yasha Wang (MSN, 2005)

A Quantitive Context Model of Software Process Patterns and Its Application Method. - Jiakuan Ma; Yasha Wang (QSIC, 2006)

A Process Pattern Language for Agile Methods. - Xiang-xi Meng; Ya-sha Wang; Lei Shi; Feng-Jian Wang (APSEC, 2007)

Using Scenario Oriented Response-time Management for Composite Web Services. - Ya-sha Wang; Junfeng Zhao 001; Ge Li (ICWS, 2007)

A Systematic Method for Process Tailoring Based on Knowledge Reuse. - Xiaoyang He; Ya-sha Wang; Yu-xin Teng; Jin-gang Guo (SEKE, 2008)

An Automatic Compliance Checking Approach for Software Processes. - Xiaoyang He; Jingang Guo; Yasha Wang; Ying Guo (APSEC, 2009)

Process Aspect: Handling Crosscutting Concerns during Software Process Improvement. - Jia-kuan Ma; Lei Shi; Ya-sha Wang; Hong Mei 001 (ICSP, 2009)

Weaving Process Patterns into Software Process Models. - Xiaoyang He; Ya-sha Wang; Jin-gang Guo; Wu Zhou; Jia-kuan Ma (SEKE, 2009)

User Perceived Response-time Optimization Method for Composite Web Services. - Junfeng Zhao 001; Yasha Wang; Bing Xie (SEKE, 2009)

An Automatic Approach to Aid Process Integration within a Secure Software Processes Family. - Jia-kuan Ma; Ya-sha Wang; Lei Shi; Hong Mei 001 (ICSP, 2010)

Software Process Reuse by Pattern Weaving. - Ya-sha Wang; Xiaoyang He; Jin-gang Guo; Jia-rui Jiang (SEKE, 2010)

TSRR: A Software Resource Repository for Trustworthiness Resource Management and Reuse. - Junfeng Zhao 001; Bing Xie; Yasha Wang; Yongjun Xu (SEKE, 2010)

A Novel Approach to Quantifying the Influence of Software Process on Project Performance. - Jia-kuan Ma; Xiao-fan Tong; Ya-sha Wang; Gang Li (EAST, 2011)

QTime: A Queuing-Time Notification System Based on Participatory Sensing Data. - Yasha Wang; Jiangtao Wang 001; Xiaoyu Zhang (COMPSAC, 2013)

OPSitu: A Semantic-Web Based Situation Inference Tool Under Opportunistic Sensing Paradigm. - Jiangtao Wang 001; Yasha Wang; Yuanduo He (MobiQuitous, 2013)

How Does Acquirer's Participation Influence Performance of Software Projects: A Quantitative Analysis (S). - Yasha Wang; Jiangtao Wang 001; Jiakuan Ma; Bing Xie (SEKE, 2013)

STERS: A System for Service Trustworthiness Evaluation and Recommendation based on the Trust Network (S). - Yasha Wang; Jiangtao Wang 001; Yuxing Teng; Junfeng Zhao 001 (SEKE, 2013)

A Participant Recruitment Framework for Crowdsourcing Based Software Requirement Acquisition. - Hao Wang 035; Yasha Wang; Jiangtao Wang 001 (ICGSE, 2014)

PSAFactory: An End-User Programming Tool for Building Participatory Sensing Applications. - Jiangtao Wang 001; Yasha Wang; Hao Wang 035 (ICGSE Workshops, 2014)

Situation Inference by Fusion of Opportunistically Available Contexts. - Jiangtao Wang 001; Yasha Wang; Hongru Ren; Daqing Zhang 001 (UIC/ATC/ScalCom, 2014)

A Situation-Aware and Interactive System for Assisting People Fill out Paper Forms. - Jiangtao Wang 001; Yasha Wang; Yafei Wang; Junfeng Zhao 001 (COMPSAC, 2015)

Helping Campaign Initiators Create Mobile Crowd Sensing Apps: A Supporting Framework. - Jiangtao Wang 001; Yasha Wang; Junfeng Zhao 001 (COMPSAC, 2015)

CCS-TA: quality-guaranteed online task allocation in compressive crowdsensing. - Leye Wang; Daqing Zhang 001; Animesh Pathak; Chao Chen 004; Haoyi Xiong; Dingqi Yang; Yasha Wang (UbiComp, 2015)

Anti-fall: A Non-intrusive and Real-Time Fall Detector Leveraging CSI from Commodity WiFi Devices. - Daqing Zhang 001; Hao Wang 035; Yasha Wang; Junyi Ma (ICOST, 2015)

Toward domain knowledge model for smart city: The core conceptual model. - Junfeng Zhao 001; Yasha Wang (ISC2, 2015)

Ubiquitous Intelligent Computing in 10 Years VS Chinese Kungfu. - Liantao Ma; Yibo Wang; Junyi Ma; Yuanduo He; Zhaopeng Qiu; Zhengyang Qin; Yasha Wang (UIC/ATC/ScalCom, 2015)

WSelector: A Multi-scenario and Multi-view Worker Selection Framework for Crowd-Sensing. - Jiangtao Wang 001; Sumi Helal; Yasha Wang; Daqing Zhang 001 (UIC/ATC/ScalCom, 2015)

Lowering the Technical Threshold for Organizers to Create and Deliver Mobile Crowd Sensing Applications. - Jiangtao Wang 001; Yasha Wang; Yuanduo He (Int. J. Distributed Sens. Networks, 2015)

一种面向浏览式购物行为模式的LBS购书移动应用 (Browse-shopping-behavior-pattern-oriented Indoor LBS Mobile Application for Book Shopping). - Yuanduo He; Zhiyun Chen; Yasha Wang (计算机科学, 2015)

Dynamic-MUSIC: accurate device-free indoor localization. - Xiang Li 049; Shengjie Li 001; Daqing Zhang 001; Jie Xiong 001; Yasha Wang; Hong Mei 001 (UbiComp, 2016)

When can we detect human respiration with commodity wifi devices? - Junyi Ma; Yuxiang Wang; Hao Wang 035; Yasha Wang; Daqing Zhang 001 (UbiComp Adjunct, 2016)

Human respiration detection with commodity wifi devices: do user location and body orientation matter? - Hao Wang 035; Daqing Zhang 001; Junyi Ma; Yasha Wang; Yuxiang Wang; Dan Wu 007; Tao Gu 001; Bing Xie (UbiComp, 2016)

WiDir: walking direction estimation using wireless signals. - Dan Wu 007; Daqing Zhang 001; Chenren Xu; Yasha Wang; Hao Wang 035 (UbiComp, 2016)

Mining Patterns of Disease Progression: A Topic-Model-Based Approach. - Lingxiao Zhang; Junfeng Zhao 001; Yasha Wang; Bing Xie (MIE, 2016)

Towards Future Situation-Awareness: A Conceptual Middleware Framework for Opportunistic Situation Identification. - Kai Yang; Jing Wang; Lixia Bao; Mei Ding; Jiangtao Wang 001; Yasha Wang (Q2SWinet@MSWiM, 2016)

A Survey on Wi-Fi Based Contactless Activity Recognition. - Junyi Ma; Hao Wang 035; Daqing Zhang 001; Yasha Wang; Yuxiang Wang (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Sparse mobile crowdsensing: challenges and opportunities. - Leye Wang; Daqing Zhang 001; Yasha Wang; Chao Chen 004; Xiao Han 001; Abdallah M'hamed (IEEE Commun. Mag., 2016)

A Context-Driven Worker Selection Framework for Crowd-Sensing. - Jiangtao Wang 001; Yasha Wang; Sumi Helal; Daqing Zhang 001 (Int. J. Distributed Sens. Networks, 2016)

Fine-Grained Multitask Allocation for Participatory Sensing With a Shared Budget. - Jiangtao Wang 001; Yasha Wang; Daqing Zhang 001; Leye Wang; Haoyi Xiong; Abdelsalam Helal; Yuanduo He; Feng Wang 040 (IEEE Internet Things J., 2016)

PSAllocator: Multi-Task Allocation for Participatory Sensing with Sensing Capability Constraints. - Jiangtao Wang 001; Yasha Wang; Daqing Zhang 001; Feng Wang 040; Yuanduo He; Liantao Ma (CSCW, 2017)

GreenPlanner: Planning personalized fuel-efficient driving routes using multi-sourced urban data. - Yan Ding 002; Chao Chen 004; Shu Zhang 003; Bin Guo 001; Zhiwen Yu 001; Yasha Wang (PerCom, 2017)

Motif-based Rule Discovery for Predicting Real-valued Time Series. - Yuanduo He; Xu Chu; Juguang Peng; Jingyue Gao; Yasha Wang (CoRR, 2017)

ScenicPlanner: planning scenic travel routes leveraging heterogeneous user-generated digital footprints. - Chao Chen 004; Xia Chen; Zhu Wang 001; Yasha Wang; Daqing Zhang 001 (Frontiers Comput. Sci., 2017)

Real-time and generic queue time estimation based on mobile crowdsensing. - Jiangtao Wang 001; Yasha Wang; Daqing Zhang 001; Leye Wang; Chao Chen 004; Jae Woong Lee; Yuanduo He (Frontiers Comput. Sci., 2017)

CAPFF: A Context-Aware Assistant for Paper Form Filling. - Jiangtao Wang 001; Yasha Wang; Yafei Wang (IEEE Trans. Hum. Mach. Syst., 2017)

crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis. - Chao Chen 004; Daqing Zhang 001; Xiaojuan Ma; Bin Guo 001; Leye Wang; Yasha Wang; Edwin Hsing-Mean Sha (IEEE Trans. Intell. Transp. Syst., 2017)

RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices. - Hao Wang 035; Daqing Zhang 001; Yasha Wang; Junyi Ma; Yuxiang Wang; Shengjie Li 001 (IEEE Trans. Mob. Comput., 2017)

Mining Rules from Real-Valued Time Series: A Relative Information-Gain-Based Approach. - Yuanduo He; Xu Chu; Guangju Peng; Yasha Wang; Zhu Jin; Xiaorong Wang (COMPSAC (1), 2018)

Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing. - Leye Wang; Wenbin Liu; Daqing Zhang 001; Yasha Wang; En Wang; Yongjian Yang 001 (ICDCS, 2018)

Characteristic Subspace Learning for Time Series Classification. - Yuanduo He; Jialiang Pei; Xu Chu; Yasha Wang; Zhu Jin; Guangju Peng (ICDM, 2018)

CAPED: Context-Aware Powerlet-Based Energy Disaggregation. - Jingyue Gao; Yasha Wang; Xu Chu; Yuanduo He; Ziqing Mao (PAKDD (1), 2018)

Energy Saving Techniques in Mobile Crowd Sensing: Current State and Future Opportunities. - Jiangtao Wang 001; Yasha Wang; Daqing Zhang 001; Sumi Helal (IEEE Commun. Mag., 2018)

Governments in the Age of Big Data and Smart Cities [Guest Editors' Introduction]. - Yasha Wang; Katsuyuki Yamazaki (Computer, 2018)

CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries. - Chao Chen 004; Sen Yang; Weichen Liu; Yasha Wang; Bin Guo 001; Daqing Zhang 001 (CoRR, 2018)

Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions. - Xu Chu; Yang Lin; Jingyue Gao; Jiangtao Wang 001; Yasha Wang; Leye Wang (CoRR, 2018)

Training-Free Human Vitality Monitoring Using Commodity Wi-Fi Devices. - Xiang Li 049; Daqing Zhang 001; Jie Xiong 001; Yue Zhang; Shengjie Li 001; Yasha Wang; Hong Mei 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Task Allocation in Mobile Crowd Sensing: State-of-the-Art and Future Opportunities. - Jiangtao Wang 001; Leye Wang; Yasha Wang; Daqing Zhang 001; Linghe Kong (IEEE Internet Things J., 2018)

SPACE-TA: Cost-Effective Task Allocation Exploiting Intradata and Interdata Correlations in Sparse Crowdsensing. - Leye Wang; Daqing Zhang 001; Dingqi Yang; Animesh Pathak; Chao Chen 004; Xiao Han 001; Haoyi Xiong; Yasha Wang (ACM Trans. Intell. Syst. Technol., 2018)

TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data. - Chao Chen 004; Shuhai Jiao; Shu Zhang 003; Weichen Liu; Liang Feng 001; Yasha Wang (IEEE Trans. Intell. Transp. Syst., 2018)

Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance. - Jiangtao Wang 001; Yasha Wang; Daqing Zhang 001; Feng Wang 040; Haoyi Xiong; Chao Chen 004; Qin Lv; Zhaopeng Qiu (IEEE Trans. Mob. Comput., 2018)

GP-selector: a generic participant selection framework for mobile crowdsourcing systems. - Jiangtao Wang 001; Yasha Wang; Leye Wang; Yuanduo He (World Wide Web, 2018)

Explainable Recommendation through Attentive Multi-View Learning. - Jingyue Gao; Xiting Wang; Yasha Wang; Xing Xie 001 (AAAI, 2019)

STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. - Jingyue Gao; Yuanduo He; Yasha Wang; Xiting Wang; Jiangtao Wang 001; Guangju Peng; Xu Chu (CIKM, 2019)

Data-Driven Bike Sharing System Optimization: State of the Art and Future Opportunities. - Longbiao Chen; Zhihan Jiang; Jiangtao Wang 001; Yasha Wang (EWSN, 2019)

CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare. - Jingyue Gao; Xiting Wang; Yasha Wang; Zhao Yang; Junyi Gao; Jiangtao Wang 001; Wen Tang; Xing Xie 001 (ICDM, 2019)

MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction. - Xu Chu; Yang Lin; Yasha Wang; Leye Wang; Jiangtao Wang 001; Jingyue Gao (IJCAI, 2019)

Discovering Crossing-Workflow Fragments Based on Activity Knowledge Graph. - Jinfeng Wen; Zhangbing Zhou; Yasha Wang; Walid Gaaloul; Yucong Duan (OTM Conferences, 2019)

MUSEFood: Multi-Sensor-Based Food Volume Estimation on Smartphones. - Junyi Gao; Weihao Tan; Liantao Ma; Yasha Wang; Wen Tang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Correlating MSM's Mental Health with Usage Behaviors on MSM-Specific Social Applications. - Xin Gao; Chaohe Zhang; Liantao Ma; Yasha Wang; Jiangtao Wang 001; Daqing Zhang 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Multi-Source Data Integration-Based Urban Road GPS Environment Friendliness Estimation. - Liantao Ma; Yasha Wang; Guangju Peng; Chaohe Zhang; Chao Chen 004; Junfeng Zhao 001; Jiangtao Wang 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

HISMA: A Human-Machine Iterative Schema Matching Algorithm. - Shuang Tang; Junfeng Zhao 001; Yasha Wang; Da Cui (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Assessing Mental Stress Based on Smartphone Sensing Data: An Empirical Study. - Feng Wang 040; Yasha Wang; Jiangtao Wang 001; Haoyi Xiong; Junfeng Zhao 001; Daqing Zhang 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Supervised Nonnegative Tucker Decomposition for Computational Phenotyping. - Kai Yang; Wenqi Sun; Junfeng Zhao 001; Yasha Wang; Bing Xie (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Crowd-Assisted Machine Learning: Current Issues and Future Directions. - Jiangtao Wang 001; Yasha Wang; Qin Lv (Computer, 2019)

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. - Liantao Ma; Chaohe Zhang; Yasha Wang; Wenjie Ruan; Jiantao Wang; Wen Tang; Xinyu Ma; Xin Gao; Junyi Gao (CoRR, 2019)

基于领域偏好的可变时间窗口时序数据主题模式识别算法 (Time Series Motif Discovery Algorithm of Variable Length Based on Domain Preference). - Yibo Wang; Guangju Peng; Yuanduo He; Yasha Wang; Junfeng Zhao 001; Jiangtao Wang 001 (计算机科学, 2019)

Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes. - Chao Chen 004; Chengwu Liao; Xuefeng Xie; Yasha Wang; Junfeng Zhao 001 (Pers. Ubiquitous Comput., 2019)

Learning-Assisted Optimization in Mobile Crowd Sensing: A Survey. - Jiangtao Wang 001; Yasha Wang; Daqing Zhang 001; Jorge Gonçalves 001; Denzil Ferreira; Aku Visuri; Sen Ma (IEEE Trans. Ind. Informatics, 2019)

Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors. - Jiangtao Wang 001; Feng Wang 040; Yasha Wang; Daqing Zhang 001; Brian Y. Lim; Leye Wang (IEEE Trans. Mob. Comput., 2019)

Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing. - Jiangtao Wang 001; Feng Wang 040; Yasha Wang; Daqing Zhang 001; Leye Wang; Zhaopeng Qiu (IEEE Trans. Mob. Comput., 2019)

Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions. - Jiangtao Wang 001; Yasha Wang; Daqing Zhang 001; Qin Lv; Chao Chen 004 (IEEE Wirel. Commun., 2019)

AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. - Liantao Ma; Junyi Gao; Yasha Wang; Chaohe Zhang; Jiangtao Wang 001; Wenjie Ruan; Wen Tang; Xin Gao; Xinyu Ma (AAAI, 2020)

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. - Liantao Ma; Chaohe Zhang; Yasha Wang; Wenjie Ruan; Jiangtao Wang 001; Wen Tang; Xinyu Ma; Xin Gao; Junyi Gao (AAAI, 2020)

COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment. - Kai Yang; Shaoqin Liu; Junfeng Zhao 001; Yasha Wang; Bing Xie (AAAI, 2020)

Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation. - Jingyue Gao; Yang Lin; Yasha Wang; Xiting Wang; Zhao Yang; Yuanduo He; Xu Chu (CIKM, 2020)

SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud. - Yan Li 067; Bo An 003; Junming Ma; Donggang Cao; Yasha Wang; Hong Mei 001 (ICDCS, 2020)

Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining. - Yuanduo He; Xu Chu; Yasha Wang (ICDE, 2020)

Distance Metric Learning with Joint Representation Diversification. - Xu Chu; Yang Lin; Yasha Wang; Xiting Wang; Hailong Yu; Xin Gao; Qi Tong (ICML, 2020)

Detecting Temporal Anomaly and Interestingness in Timed Business Process Models. - Deng Zhao; Zhangbing Zhou; Yasha Wang; Walid Gaaloul (ICWS, 2020)

StageNet: Stage-Aware Neural Networks for Health Risk Prediction. - Junyi Gao; Cao Xiao; Yasha Wang; Wen Tang; Lucas M. Glass; Jimeng Sun 001 (WWW, 2020)

CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis. - Liantao Ma; Xinyu Ma; Junyi Gao; Chaohe Zhang; Zhihao Yu; Xianfeng Jiao; Wenjie Ruan; Yasha Wang; Wen Tang; Jiangtao Wang 001 (CoRR, 2020)

Topic-based crossing-workflow fragment discovery. - Zhangbing Zhou; Jinfeng Wen; Yasha Wang; Xiao Xue 001; Patrick C. K. Hung; Long Dinh Nguyen (Future Gener. Comput. Syst., 2020)

Will Online Digital Footprints Reveal Your Relationship Status?: An Empirical Study of Social Applications for Sexual-Minority Men. - Jiangtao Wang 001; Junyi Ma; Yasha Wang; Ning Wang; Leye Wang; Daqing Zhang 001; Feng Wang 040; Qin Lv (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Understanding and Predicting the Burst of Burnout via Social Media. - Jue Wu; Junyi Ma; Yasha Wang; Jiangtao Wang 001 (Proc. ACM Hum. Comput. Interact., 2020)

Estimating Urban Road GPS Environment Friendliness with Bus Trajectories: A City-Scale Approach. - Liantao Ma; Chaohe Zhang; Yasha Wang; Guangju Peng; Chao Chen 004; Junfeng Zhao 001; Jiangtao Wang 001 (Sensors, 2020)

HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing. - Jiangtao Wang 001; Feng Wang 040; Yasha Wang; Leye Wang; Zhaopeng Qiu; Daqing Zhang 001; Bin Guo 001; Qin Lv (IEEE Trans. Mob. Comput., 2020)

DAVT: An Error-Bounded Vehicle Trajectory Data Representation and Compression Framework. - Chao Chen 004; Yan Ding 002; Suiming Guo; Yasha Wang (IEEE Trans. Veh. Technol., 2020)

Enabling Smart Urban Services with GPS Trajectory Data - Chao Chen 004; Daqing Zhang 001; Yasha Wang; Hongyu Huang (Springer, 2021)

GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients. - Chaohe Zhang; Xin Gao; Liantao Ma; Yasha Wang; Jiangtao Wang 001; Wen Tang (AAAI, 2021)

Learning Groupwise Explanations for Black-Box Models. - Jingyue Gao; Xiting Wang; Yasha Wang; Yulan Yan; Xing Xie 001 (IJCAI, 2021)

Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations. - Yujie Feng; Jiangtao Wang 001; Yasha Wang; Sumi Helal (WWW, 2021)

Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis. - Liantao Ma; Xinyu Ma; Junyi Gao; Xianfeng Jiao; Zhihao Yu; Chaohe Zhang; Wenjie Ruan; Yasha Wang; Wen Tang; Jiangtao Wang 001 (WWW, 2021)

2TD Path-Planner: Towards a More Realistic Path Planning System over Two-Fold Time-Dependent Road Networks [Application Notes]. - Chao Chen 004; Liping Gao; Xuefeng Xie; Liang Feng 001; Yasha Wang (IEEE Comput. Intell. Mag., 2021)

I3City: An Interoperated, Intelligent, and Integrated Platform for Smart City Ecosystem. - Chaoxiong Chen; Chao Chen 004; Yasha Wang; Junfeng Zhao 001; Yijian Wu; Hao Sheng 001; Yang Li (IT Prof., 2021)

Enhancing Robust Text Classification via Category Description. - Xin Gao; Zhengye Zhu; Xu Chu; Yasha Wang; Wenjie Ruan; Junfeng Zhao 001 (ICDM, 2022)

DNA: Domain Generalization with Diversified Neural Averaging. - Xu Chu; Yujie Jin; Wenwu Zhu 001; Yasha Wang; Xin Wang 019; Shanghang Zhang; Hong Mei 001 (ICML, 2022)

Domain Generalization through the Lens of Angular Invariance. - Yujie Jin; Xu Chu; Yasha Wang; Wenwu Zhu 001 (IJCAI, 2022)

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. - Chaohe Zhang; Xu Chu; Liantao Ma; Yinghao Zhu; Yasha Wang; Jiangtao Wang 001; Junfeng Zhao 001 (KDD, 2022)

MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering. - Xinyu Ma; Xu Chu; Yasha Wang; Hailong Yu; Liantao Ma; Wen Tang; Junfeng Zhao 001 (CoRR, 2022)

A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis. - Junyi Gao; Yinghao Zhu; Wenqing Wang; Yasha Wang; Wen Tang; Liantao Ma (CoRR, 2022)

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. - Chaohe Zhang; Xu Chu; Liantao Ma; Yinghao Zhu; Yasha Wang; Jiangtao Wang 001; Junfeng Zhao 001 (CoRR, 2022)

CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries. - Chao Chen 004; Sen Yang; Yasha Wang; Bin Guo 001; Daqing Zhang 001 (IEEE Trans. Big Data, 2022)

KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations. - Kai Yang; Yongxin Xu; Peinie Zou; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (AAAI, 2023)

Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words. - Yang Lin; Xin Gao; Xu Chu; Yasha Wang; Junfeng Zhao 001; Chao Chen 004 (ACL (Findings), 2023)

Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks. - Xu Chu; Yujie Jin; Xin Wang 019; Shanghang Zhang; Yasha Wang; Wenwu Zhu 001; Hong Mei 001 (ICML, 2023)

VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data. - Yongxin Xu; Kai Yang; Chaohe Zhang; Peinie Zou; Zhiyuan Wang; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (IJCAI, 2023)

Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications. - Xinyu Ma; Xu Chu; Yasha Wang; Yang Lin; Junfeng Zhao 001; Liantao Ma; Wenwu Zhu 001 (NeurIPS, 2023)

SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. - Yongxin Xu; Xu Chu; Kai Yang; Zhiyuan Wang; Peinie Zou; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (WWW, 2023)

Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset. - Liantao Ma; Chaohe Zhang; Junyi Gao; Xianfeng Jiao; Zhihao Yu; Xinyu Ma; Yasha Wang; Wen Tang; Xinju Zhao; Wenjie Ruan; Tao Wang (CoRR, 2023)

Graph Interpolation via Fast Fused-Gromovization. - Xinyu Ma; Xu Chu; Yasha Wang; Yang Lin; Junfeng Zhao 001; Liantao Ma; Wenwu Zhu 001 (CoRR, 2023)

A ModelOps-based Framework for Intelligent Medical Knowledge Extraction. - Hongxin Ding; Peinie Zou; Zhiyuan Wang; Junfeng Zhao 001; Yasha Wang; Qiang Zhou (CoRR, 2023)

A Transfer-Learning-Based Prognosis Prediction Paradigm that Bridges Data Distribution Shift across EMR Datasets. - Zhongji Zhang; Yuhang Wang; Yinghao Zhu; Xinyu Ma; Tianlong Wang; Chaohe Zhang; Yasha Wang; Liantao Ma (CoRR, 2023)

Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models. - Xinke Jiang; Ruizhe Zhang 013; Yongxin Xu; Rihong Qiu; Yue Fang; Zhiyuan Wang; Jinyi Tang; Hongxin Ding; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2023)

Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting. - Zhihao Yu; Liantao Ma; Yasha Wang; Junfeng Zhao 001 (CoRR, 2023)

Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method. - Yujie Feng; Jiangtao Wang 001; Yasha Wang; Xu Chu (ACM Trans. Comput. Heal., 2023)

An Adaptive Fusion Risk-Zone Detection Network and its Application. - Junyi Ma; Xuanliang Wang; Yasha Wang; Xu Chu; Junfeng Zhao 001 (Int. J. Pattern Recognit. Artif. Intell., 2023)

Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction. - Yujie Feng; Jiangtao Wang 001; Yasha Wang; Xu Chu (IEEE Trans. Big Data, 2023)

MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks. - Liping Gao; Chao Chen 004; Feng Chu 001; Chengwu Liao; Hongyu Huang; Yasha Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Patient Health Representation Learning via Correlational Sparse Prior of Medical Features. - Xinyu Ma; Yasha Wang; Xu Chu; Liantao Ma; Wen Tang; Junfeng Zhao 001; Ye Yuan 001; Guoren Wang (IEEE Trans. Knowl. Data Eng., 2023)

Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients. - Liantao Ma; Chaohe Zhang; Junyi Gao; Xianfeng Jiao; Zhihao Yu; Yinghao Zhu; Tianlong Wang; Xinyu Ma; Yasha Wang; Wen Tang; Xinju Zhao; Wenjie Ruan; et al. (Patterns, 2023)

Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation. - Yang Lin; Xinyu Ma; Xin Gao; Ruiqing Li; Yasha Wang; Xu Chu (ACL (Findings), 2024)

Predict and Interpret Health Risk Using Ehr Through Typical Patients. - Zhihao Yu; Chaohe Zhang; Yasha Wang; Wen Tang; Jiangtao Wang 001; Liantao Ma (ICASSP, 2024)

Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning. - Xin Gao; Yang Lin; Ruiqing Li; Yasha Wang; Xu Chu; Xinyu Ma; Hailong Yu (ICDE, 2024)

ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. - Yongxin Xu; Xinke Jiang; Xu Chu; Yuzhen Xiao; Chaohe Zhang; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (KDD, 2024)

RAGraph: A General Retrieval-Augmented Graph Learning Framework. - Xinke Jiang; Rihong Qiu; Yongxin Xu; Wentao Zhang 008; Yichen Zhu; Ruizhe Zhang 013; Yuchen Fang 001; Chu Xu; Junfeng Zhao 001; Yasha Wang (NeurIPS, 2024)

SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction. - Zhihao Yu; Chu Xu; Yujie Jin; Yasha Wang; Junfeng Zhao 001 (NeurIPS, 2024)

Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series. - Zhihao Yu; Xu Chu; Liantao Ma; Yasha Wang; Wenwu Zhu 001 (CoRR, 2024)

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation. - Ruizhe Zhang 013; Xinke Jiang; Yuchen Fang 001; Jiayuan Luo; Yongxin Xu; Yichen Zhu; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2024)

Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. - Weibin Liao; Yinghao Zhu; Zixiang Wang; Xu Chu; Yasha Wang; Liantao Ma (CoRR, 2024)

LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation. - Weibin Liao; Yinghao Zhu; Xinyuan Wang 009; Chengwei Pan; Yasha Wang; Liantao Ma (CoRR, 2024)

LoRA Dropout as a Sparsity Regularizer for Overfitting Control. - Yang Lin; Xinyu Ma; Xu Chu; Yujie Jin; Zhibang Yang; Yasha Wang; Hong Mei 001 (CoRR, 2024)

Is larger always better? Evaluating and prompting large language models for non-generative medical tasks. - Yinghao Zhu; Junyi Gao; Zixiang Wang; Weibin Liao; Xiaochen Zheng; Lifang Liang; Yasha Wang; Chengwei Pan; Ewen M. Harrison; Liantao Ma (CoRR, 2024)

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems. - Xinke Jiang; Yue Fang; Rihong Qiu; Haoyu Zhang; Yongxin Xu; Hao Chen 103; Wentao Zhang 008; Ruizhe Zhang 013; Yuchen Fang 001; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2024)

IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models. - Zhihao Yu; Yujie Jin; Yongxin Xu; Xu Chu; Yasha Wang; Junfeng Zhao 001 (CoRR, 2024)

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration. - Zixiang Wang; Yinghao Zhu; Huiya Zhao; Xiaochen Zheng; Tianlong Wang; Wen Tang; Yasha Wang; Chengwei Pan; Ewen M. Harrison; Junyi Gao; Liantao Ma (CoRR, 2024)

3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation. - Hongxin Ding; Yue Fang; Runchuan Zhu; Xinke Jiang; Jinyang Zhang; Yongxin Xu; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2024)

A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care. - Junyi Gao; Yinghao Zhu; Wenqing Wang; Zixiang Wang; Guiying Dong; Wen Tang; Hao Wang 035; Yasha Wang; Ewen M. Harrison; Liantao Ma (Patterns, 2024)

KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. - Ruizhe Zhang 013; Yongxin Xu; Yuzhen Xiao; Runchuan Zhu; Xinke Jiang; Xu Chu; Junfeng Zhao 001; Yasha Wang (AAAI, 2025)

DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations. - Yongxin Xu; Xinke Jiang; Xu Chu; Rihong Qiu; Yujie Feng; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (AAAI, 2025)

Recurrent Knowledge Identification and Fusion for Language Model Continual Learning. - Yujie Feng; Xujia Wang; Zexin Lu; Shenghong Fu; Guangyuan Shi; Yongxin Xu; Yasha Wang; Philip S. Yu; Xu Chu; Xiao-Ming Wu 003 (ACL (1), 2025)

HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses. - Xinke Jiang; Ruizhe Zhang 013; Yongxin Xu; Rihong Qiu; Yue Fang; Zhiyuan Wang; Jinyi Tang; Hongxin Ding; Xu Chu; Junfeng Zhao 001; Yasha Wang (ACL (1), 2025)

TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems. - Xinke Jiang; Yue Fang; Rihong Qiu; Haoyu Zhang; Yongxin Xu; Hao Chen 103; Wentao Zhang 008; Ruizhe Zhang 013; Yuchen Fang 001; Xinyu Ma; Xu Chu; Junfeng Zhao 001; et al. (ACL (1), 2025)

Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning. - Yongxin Xu; Ruizhe Zhang 013; Xinke Jiang; Yujie Feng; Yuzhen Xiao; Xinyu Ma; Runchuan Zhu; Xu Chu; Junfeng Zhao 001; Yasha Wang (ACL (1), 2025)

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees. - Weibin Liao; Xu Chu; Yasha Wang (ICLR, 2025)

DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing. - Xinyu Ma; Yifeng Xu; Yang Lin; Tianlong Wang; Xu Chu; Xin Gao; Junfeng Zhao 001; Yasha Wang (ICLR, 2025)

Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. - Weibin Liao; Yinghao Zhu; Zhongji Zhang; Yuhang Wang; Zixiang Wang; Xu Chu; Yasha Wang; Liantao Ma (KDD (1), 2025)

Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories. - Tianlong Wang; Xianfeng Jiao; Yinghao Zhu; Zhongzhi Chen; Yifan He; Xu Chu; Junyi Gao; Yasha Wang; Liantao Ma (WWW, 2025)

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration. - Zixiang Wang; Yinghao Zhu; Huiya Zhao; Xiaochen Zheng; Dehao Sui; Tianlong Wang; Wen Tang; Yasha Wang; Ewen M. Harrison; Chengwei Pan; Junyi Gao; Liantao Ma (WWW, 2025)

LoRA dropout as a sparsity regularizer for overfitting reduction. - Yang Lin; Xinyu Ma; Xu Chu; Yujie Jin; Zhibang Yang; Yasha Wang (Knowl. Based Syst., 2025)

IntelliCare: Improving healthcare analysis with patient-level knowledge from large language models. - Zhihao Yu; Yujie Jin; Yongxin Xu; Xiaoyun Zhang; Yasha Wang (Knowl. Based Syst., 2025)

Service Migration for Delay-Sensitive IoT Applications in Edge Networks. - Xiaocui Li; Zhangbing Zhou; Yasha Wang; Shuiguang Deng; Patrick C. K. Hung (IEEE Trans. Serv. Comput., 2025)

GeoEdit: Geometric Knowledge Editing for Large Language Models. - Yujie Feng; Liming Zhan; Zexin Lu; Yongxin Xu; Xu Chu; Yasha Wang; Jiannong Cao 001; Philip S. Yu; Xiao-Ming Wu 003 (CoRR, 2025)

LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models. - Weibin Liao; Xin Gao; Tianyu Jia; Rihong Qiu; Yifan Zhu; Yang Lin; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2025)

A three-tiered semi supervised MTL mechanism and its application in dating apps. - Junyi Ma; Yasha Wang; Xuanliang Wang; Jiangtao Wang 001; Junfeng Zhao 001 (Neural Comput. Appl., 2025)

ConfAgents: A Conformal-Guided Multi-Agent Framework for Cost-Efficient Medical Diagnosis. - Huiya Zhao; Yinghao Zhu; Zixiang Wang; Yasha Wang; Junyi Gao; Liantao Ma (CoRR, 2025)

Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation. - Weibin Liao; Tianlong Wang; Yinghao Zhu; Yasha Wang; Junyi Gao; Liantao Ma (CoRR, 2025)

ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs. - Hongxin Ding; Baixiang Huang; Yue Fang; Weibin Liao; Xinke Jiang; Zheng Li; Junfeng Zhao 001; Yasha Wang (CoRR, 2025)

Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance. - Yue Fang; Yuxin Guo; Jiaran Gao; Hongxin Ding; Xinke Jiang; Weibin Liao; Yongxin Xu; Yinghao Zhu; Zhibang Yang; Liantao Ma; Junfeng Zhao 001; Yasha Wang (CoRR, 2025)