Yasha Wang

According to our database, Yasha Wang authored at least 153 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Yasha Wang, Ewen M. Harrison, Liantao Ma

Patterns, 2024

RAGraph: A General Retrieval-Augmented Graph Learning Framework.

Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2024

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees.

Weibin Liao, Xu Chu, Yasha Wang

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, Yasha Wang

CoRR, 2024

Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning.

Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang

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

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

CoRR, 2024

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems.

Xinke Jiang, Yuchen Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2024

KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models.

Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang

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

Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories.

Tianlong Wang, Xianfeng Jiao, Yifan He, Zhongzhi Chen, Yinghao Zhu, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma

CoRR, 2024

SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction.

Zhihao Yu, Xu Chu, Yujie Jin, Yasha Wang, Junfeng Zhao

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

CoRR, 2024

LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation.

Weibin Liao, Yinghao Zhu, Xinyuan Wang, Chengwei Pan, Yasha Wang, Liantao Ma

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

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation.

Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2024

Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series.

Zhihao Yu, Xu Chu, Liantao Ma, Yasha Wang, Wenwu Zhu

CoRR, 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, Yasha Wang, Bing Xie

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Predict and Interpret Health Risk Using Ehr Through Typical Patients.

Zhihao Yu, Chaohe Zhang, Yasha Wang, Wen Tang, Jiangtao Wang, Liantao Ma

Proceedings of the IEEE International Conference on Acoustics, 2024

Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation.

Yang Lin, Xinyu Ma, Xin Gao, Ruiqing Li, Yasha Wang, Xu Chu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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, Tao Wang

Patterns, December, 2023

Patient Health Representation Learning via Correlational Sparse Prior of Medical Features.

Xinyu Ma, Yasha Wang, Xu Chu, Liantao Ma, Wen Tang, Junfeng Zhao, Ye Yuan, Guoren Wang

IEEE Trans. Knowl. Data Eng., November, 2023

MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks.

Liping Gao, Chao Chen, Feng Chu, Chengwu Liao, Hongyu Huang, Yasha Wang

IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction.

Yujie Feng, Jiangtao Wang, Yasha Wang, Xu Chu

IEEE Trans. Big Data, August, 2023

An Adaptive Fusion Risk-Zone Detection Network and its Application.

Junyi Ma, Xuanliang Wang, Yasha Wang, Xu Chu, Junfeng Zhao

Int. J. Pattern Recognit. Artif. Intell., May, 2023

Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method.

Yujie Feng, Jiangtao Wang, Yasha Wang, Xu Chu

ACM Trans. Comput. Heal., January, 2023

Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting.

Zhihao Yu, Liantao Ma, Yasha Wang, Junfeng Zhao

CoRR, 2023

Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models.

Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang

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

A ModelOps-based Framework for Intelligent Medical Knowledge Extraction.

Hongxin Ding, Peinie Zou, Zhiyuan Wang, Junfeng Zhao, Yasha Wang, Qiang Zhou

CoRR, 2023

Graph Interpolation via Fast Fused-Gromovization.

Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu

CoRR, 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

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, Yasha Wang, Bing Xie

Proceedings of the ACM Web Conference 2023, 2023

Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications.

Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Yasha Wang, Bing Xie

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks.

Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei

Proceedings of the International Conference on Machine Learning, 2023

Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words.

Yang Lin, Xin Gao, Xu Chu, Yasha Wang, Junfeng Zhao, Chao Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations.

Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries.

Chao Chen, Sen Yang, Yasha Wang, Bin Guo, Daqing Zhang

IEEE Trans. Big Data, 2022

M³Care: Learning with Missing Modalities in Multimodal Healthcare Data.

Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao

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

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

CoRR, 2022

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data.

Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Domain Generalization through the Lens of Angular Invariance.

Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DNA: Domain Generalization with Diversified Neural Averaging.

Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei

Proceedings of the International Conference on Machine Learning, 2022

Enhancing Robust Text Classification via Category Description.

Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

I³City: An Interoperated, Intelligent, and Integrated Platform for Smart City Ecosystem.

Chaoxiong Chen, Chao Chen, Yasha Wang, Junfeng Zhao, Yijian Wu, Hao Sheng, Yang Li

IT Prof., 2021

2TD Path-Planner: Towards a More Realistic Path Planning System over Two-Fold Time-Dependent Road Networks [Application Notes].

Chao Chen, Liping Gao, Xuefeng Xie, Liang Feng, Yasha Wang

IEEE Comput. Intell. Mag., 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

Proceedings of the WWW '21: The Web Conference 2021, 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, Yasha Wang, Sumi Helal

Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning Groupwise Explanations for Black-Box Models.

Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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, Wen Tang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Enabling Smart Urban Services with GPS Trajectory Data

Chao Chen, Daqing Zhang, Yasha Wang, Hongyu Huang

Springer, ISBN: 978-981-16-0177-4, 2021

2020

DAVT: An Error-Bounded Vehicle Trajectory Data Representation and Compression Framework.

Chao Chen, Yan Ding, Suiming Guo, Yasha Wang

IEEE Trans. Veh. Technol., 2020

HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing.

Jiangtao Wang, Feng Wang, Yasha Wang, Leye Wang, Zhaopeng Qiu, Daqing Zhang, Bin Guo, Qin Lv

IEEE Trans. Mob. Comput., 2020

Estimating Urban Road GPS Environment Friendliness with Bus Trajectories: A City-Scale Approach.

Liantao Ma, Chaohe Zhang, Yasha Wang, Guangju Peng, Chao Chen, Junfeng Zhao, Jiangtao Wang

Sensors, 2020

Understanding and Predicting the Burst of Burnout via Social Media.

Jue Wu, Junyi Ma, Yasha Wang, Jiangtao Wang

Proc. ACM Hum. Comput. Interact., 2020

Will Online Digital Footprints Reveal Your Relationship Status?: An Empirical Study of Social Applications for Sexual-Minority Men.

Jiangtao Wang, Junyi Ma, Yasha Wang, Ning Wang, Leye Wang, Daqing Zhang, Feng Wang, Qin Lv

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Topic-based crossing-workflow fragment discovery.

Zhangbing Zhou, Jinfeng Wen, Yasha Wang, Xiao Xue, Patrick C. K. Hung, Long Dinh Nguyen

Future Gener. Comput. Syst., 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

CoRR, 2020

StageNet: Stage-Aware Neural Networks for Health Risk Prediction.

Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Detecting Temporal Anomaly and Interestingness in Timed Business Process Models.

Deng Zhao, Zhangbing Zhou, Yasha Wang, Walid Gaaloul

Proceedings of the 2020 IEEE International Conference on Web Services, 2020

Distance Metric Learning with Joint Representation Diversification.

Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong

Proceedings of the 37th International Conference on Machine Learning, 2020

Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining.

Yuanduo He, Xu Chu, Yasha Wang

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud.

Yan Li, Bo An, Junming Ma, Donggang Cao, Yasha Wang, Hong Mei

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment.

Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context.

Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration.

Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions.

Jiangtao Wang, Yasha Wang, Daqing Zhang, Qin Lv, Chao Chen

IEEE Wirel. Commun., 2019

Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing.

Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Leye Wang, Zhaopeng Qiu

IEEE Trans. Mob. Comput., 2019

Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors.

Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Brian Y. Lim, Leye Wang

IEEE Trans. Mob. Comput., 2019

Learning-Assisted Optimization in Mobile Crowd Sensing: A Survey.

Jiangtao Wang, Yasha Wang, Daqing Zhang, Jorge Gonçalves, Denzil Ferreira, Aku Visuri, Sen Ma

IEEE Trans. Ind. Informatics, 2019

Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes.

Chao Chen, Chengwu Liao, Xuefeng Xie, Yasha Wang, Junfeng Zhao

Pers. Ubiquitous Comput., 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, Jiangtao Wang

计算机科学, 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

Crowd-Assisted Machine Learning: Current Issues and Future Directions.

Jiangtao Wang, Yasha Wang, Qin Lv

Computer, 2019

Supervised Nonnegative Tucker Decomposition for Computational Phenotyping.

Kai Yang, Wenqi Sun, Junfeng Zhao, Yasha Wang, Bing Xie

Proceedings of the 2019 IEEE SmartWorld, 2019

Assessing Mental Stress Based on Smartphone Sensing Data: An Empirical Study.

Feng Wang, Yasha Wang, Jiangtao Wang, Haoyi Xiong, Junfeng Zhao, Daqing Zhang

Proceedings of the 2019 IEEE SmartWorld, 2019

HISMA: A Human-Machine Iterative Schema Matching Algorithm.

Shuang Tang, Junfeng Zhao, Yasha Wang, Da Cui

Proceedings of the 2019 IEEE SmartWorld, 2019

Multi-Source Data Integration-Based Urban Road GPS Environment Friendliness Estimation.

Liantao Ma, Yasha Wang, Guangju Peng, Chaohe Zhang, Chao Chen, Junfeng Zhao, Jiangtao Wang

Proceedings of the 2019 IEEE SmartWorld, 2019

Correlating MSM's Mental Health with Usage Behaviors on MSM-Specific Social Applications.

Xin Gao, Chaohe Zhang, Liantao Ma, Yasha Wang, Jiangtao Wang, Daqing Zhang

Proceedings of the 2019 IEEE SmartWorld, 2019

MUSEFood: Multi-Sensor-Based Food Volume Estimation on Smartphones.

Junyi Gao, Weihao Tan, Liantao Ma, Yasha Wang, Wen Tang

Proceedings of the 2019 IEEE SmartWorld, 2019

Discovering Crossing-Workflow Fragments Based on Activity Knowledge Graph.

Jinfeng Wen, Zhangbing Zhou, Yasha Wang, Walid Gaaloul, Yucong Duan

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2019 Conferences, 2019

MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction.

Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare.

Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Data-Driven Bike Sharing System Optimization: State of the Art and Future Opportunities.

Longbiao Chen, Zhihan Jiang, Jiangtao Wang, Yasha Wang

Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019

STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints.

Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Explainable Recommendation through Attentive Multi-View Learning.

Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

GP-selector: a generic participant selection framework for mobile crowdsourcing systems.

Jiangtao Wang, Yasha Wang, Leye Wang, Yuanduo He

World Wide Web, 2018

Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance.

Jiangtao Wang, Yasha Wang, Daqing Zhang, Feng Wang, Haoyi Xiong, Chao Chen, Qin Lv, Zhaopeng Qiu

IEEE Trans. Mob. Comput., 2018

TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data.

Chao Chen, Shuhai Jiao, Shu Zhang, Weichen Liu, Liang Feng, Yasha Wang

IEEE Trans. Intell. Transp. Syst., 2018

SPACE-TA: Cost-Effective Task Allocation Exploiting Intradata and Interdata Correlations in Sparse Crowdsensing.

Leye Wang, Daqing Zhang, Dingqi Yang, Animesh Pathak, Chao Chen, Xiao Han, Haoyi Xiong, Yasha Wang

ACM Trans. Intell. Syst. Technol., 2018

Task Allocation in Mobile Crowd Sensing: State-of-the-Art and Future Opportunities.

Jiangtao Wang, Leye Wang, Yasha Wang, Daqing Zhang, Linghe Kong

IEEE Internet Things J., 2018

Training-Free Human Vitality Monitoring Using Commodity Wi-Fi Devices.

Xiang Li, Daqing Zhang, Jie Xiong, Yue Zhang, Shengjie Li, Yasha Wang, Hong Mei

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions.

Xu Chu, Yang Lin, Jingyue Gao, Jiangtao Wang, Yasha Wang, Leye Wang

CoRR, 2018

CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries.

Chao Chen, Sen Yang, Weichen Liu, Yasha Wang, Bin Guo, Daqing Zhang

CoRR, 2018

Governments in the Age of Big Data and Smart Cities [Guest Editors' Introduction].

Yasha Wang, Katsuyuki Yamazaki

Computer, 2018

Energy Saving Techniques in Mobile Crowd Sensing: Current State and Future Opportunities.

Jiangtao Wang, Yasha Wang, Daqing Zhang, Sumi Helal

IEEE Commun. Mag., 2018

CAPED: Context-Aware Powerlet-Based Energy Disaggregation.

Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Characteristic Subspace Learning for Time Series Classification.

Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, Guangju Peng

Proceedings of the IEEE International Conference on Data Mining, 2018

Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing.

Leye Wang, Wenbin Liu, Daqing Zhang, Yasha Wang, En Wang, Yongjian Yang

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

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

Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017

RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices.

Hao Wang, Daqing Zhang, Yasha Wang, Junyi Ma, Yuxiang Wang, Shengjie Li

IEEE Trans. Mob. Comput., 2017

crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis.

Chao Chen, Daqing Zhang, Xiaojuan Ma, Bin Guo, Leye Wang, Yasha Wang, Edwin Hsing-Mean Sha

IEEE Trans. Intell. Transp. Syst., 2017

CAPFF: A Context-Aware Assistant for Paper Form Filling.

Jiangtao Wang, Yasha Wang, Yafei Wang

IEEE Trans. Hum. Mach. Syst., 2017

Real-time and generic queue time estimation based on mobile crowdsensing.

Jiangtao Wang, Yasha Wang, Daqing Zhang, Leye Wang, Chao Chen, Jae Woong Lee, Yuanduo He

Frontiers Comput. Sci., 2017

ScenicPlanner: planning scenic travel routes leveraging heterogeneous user-generated digital footprints.

Chao Chen, Xia Chen, Zhu Wang, Yasha Wang, Daqing Zhang

Frontiers Comput. Sci., 2017

Motif-based Rule Discovery for Predicting Real-valued Time Series.

Yuanduo He, Xu Chu, Juguang Peng, Jingyue Gao, Yasha Wang

CoRR, 2017

GreenPlanner: Planning personalized fuel-efficient driving routes using multi-sourced urban data.

Yan Ding, Chao Chen, Shu Zhang, Bin Guo, Zhiwen Yu, Yasha Wang

Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017

PSAllocator: Multi-Task Allocation for Participatory Sensing with Sensing Capability Constraints.

Jiangtao Wang, Yasha Wang, Daqing Zhang, Feng Wang, Yuanduo He, Liantao Ma

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2016

Fine-Grained Multitask Allocation for Participatory Sensing With a Shared Budget.

Jiangtao Wang, Yasha Wang, Daqing Zhang, Leye Wang, Haoyi Xiong, Abdelsalam Helal, Yuanduo He, Feng Wang

IEEE Internet Things J., 2016

A Context-Driven Worker Selection Framework for Crowd-Sensing.

Jiangtao Wang, Yasha Wang, Sumi Helal, Daqing Zhang

Int. J. Distributed Sens. Networks, 2016

Sparse mobile crowdsensing: challenges and opportunities.

Leye Wang, Daqing Zhang, Yasha Wang, Chao Chen, Xiao Han, Abdallah M'hamed

IEEE Commun. Mag., 2016

A Survey on Wi-Fi Based Contactless Activity Recognition.

Junyi Ma, Hao Wang, Daqing Zhang, Yasha Wang, Yuxiang Wang

Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Towards Future Situation-Awareness: A Conceptual Middleware Framework for Opportunistic Situation Identification.

Kai Yang, Jing Wang, Lixia Bao, Mei Ding, Jiangtao Wang, Yasha Wang

Proceedings of the 12th ACM Symposium on QoS and Security for Wireless and Mobile Networks, 2016

Mining Patterns of Disease Progression: A Topic-Model-Based Approach.

Lingxiao Zhang, Junfeng Zhao, Yasha Wang, Bing Xie

Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016

WiDir: walking direction estimation using wireless signals.

Dan Wu, Daqing Zhang, Chenren Xu, Yasha Wang, Hao Wang

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Human respiration detection with commodity wifi devices: do user location and body orientation matter?

Hao Wang, Daqing Zhang, Junyi Ma, Yasha Wang, Yuxiang Wang, Dan Wu, Tao Gu, Bing Xie

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

When can we detect human respiration with commodity wifi devices?

Junyi Ma, Yuxiang Wang, Hao Wang, Yasha Wang, Daqing Zhang

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Dynamic-MUSIC: accurate device-free indoor localization.

Xiang Li, Shengjie Li, Daqing Zhang, Jie Xiong, Yasha Wang, Hong Mei

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

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

Lowering the Technical Threshold for Organizers to Create and Deliver Mobile Crowd Sensing Applications.

Jiangtao Wang, Yasha Wang, Yuanduo He

Int. J. Distributed Sens. Networks, 2015

WSelector: A Multi-scenario and Multi-view Worker Selection Framework for Crowd-Sensing.

Jiangtao Wang, Sumi Helal, Yasha Wang, Daqing Zhang

Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Ubiquitous Intelligent Computing in 10 Years VS Chinese Kungfu.

Liantao Ma, Yibo Wang, Junyi Ma, Yuanduo He, Zhaopeng Qiu, Zhengyang Qin, Yasha Wang

Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Toward domain knowledge model for smart city: The core conceptual model.

Junfeng Zhao, Yasha Wang

Proceedings of the IEEE First International Smart Cities Conference, 2015

Anti-fall: A Non-intrusive and Real-Time Fall Detector Leveraging CSI from Commodity WiFi Devices.

Daqing Zhang, Hao Wang, Yasha Wang, Junyi Ma

Proceedings of the Inclusive Smart Cities and e-Health, 2015

CCS-TA: quality-guaranteed online task allocation in compressive crowdsensing.

Leye Wang, Daqing Zhang, Animesh Pathak, Chao Chen, Haoyi Xiong, Dingqi Yang, Yasha Wang

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

Helping Campaign Initiators Create Mobile Crowd Sensing Apps: A Supporting Framework.

Jiangtao Wang, Yasha Wang, Junfeng Zhao

Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

A Situation-Aware and Interactive System for Assisting People Fill out Paper Forms.

Jiangtao Wang, Yasha Wang, Yafei Wang, Junfeng Zhao

Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

2014

Situation Inference by Fusion of Opportunistically Available Contexts.

Jiangtao Wang, Yasha Wang, Hongru Ren, Daqing Zhang

Proceedings of the 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, 2014

PSAFactory: An End-User Programming Tool for Building Participatory Sensing Applications.

Jiangtao Wang, Yasha Wang, Hao Wang

Proceedings of the IEEE International Conference on Global Software Engineeering Workshops, 2014

A Participant Recruitment Framework for Crowdsourcing Based Software Requirement Acquisition.

Hao Wang, Yasha Wang, Jiangtao Wang

Proceedings of the IEEE 9th International Conference on Global Software Engineering, 2014

2013

STERS: A System for Service Trustworthiness Evaluation and Recommendation based on the Trust Network (S).

Yasha Wang, Jiangtao Wang, Yuxing Teng, Junfeng Zhao

Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

How Does Acquirer's Participation Influence Performance of Software Projects: A Quantitative Analysis (S).

Yasha Wang, Jiangtao Wang, Jiakuan Ma, Bing Xie

Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

OPSitu: A Semantic-Web Based Situation Inference Tool Under Opportunistic Sensing Paradigm.

Jiangtao Wang, Yasha Wang, Yuanduo He

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2013

QTime: A Queuing-Time Notification System Based on Participatory Sensing Data.

Yasha Wang, Jiangtao Wang, Xiaoyu Zhang

Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

2011

A Novel Approach to Quantifying the Influence of Software Process on Project Performance.

Jia-kuan Ma, Xiao-fan Tong, Ya-sha Wang, Gang Li

Proceedings of the EAST 2011, 2011

2010

TSRR: A Software Resource Repository for Trustworthiness Resource Management and Reuse.

Junfeng Zhao, Bing Xie, Yasha Wang, Yongjun Xu

Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

Software Process Reuse by Pattern Weaving.

Ya-sha Wang, Xiaoyang He, Jin-gang Guo, Jia-rui Jiang

Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

An Automatic Approach to Aid Process Integration within a Secure Software Processes Family.

Jia-kuan Ma, Ya-sha Wang, Lei Shi, Hong Mei

Proceedings of the New Modeling Concepts for Today's Software Processes, 2010

2009

User Perceived Response-time Optimization Method for Composite Web Services.

Junfeng Zhao, Yasha Wang, Bing Xie

Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

Weaving Process Patterns into Software Process Models.

Xiaoyang He, Ya-sha Wang, Jin-gang Guo, Wu Zhou, Jia-kuan Ma

Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

Process Aspect: Handling Crosscutting Concerns during Software Process Improvement.

Jia-kuan Ma, Lei Shi, Ya-sha Wang, Hong Mei

Proceedings of the Trustworthy Software Development Processes, 2009

An Automatic Compliance Checking Approach for Software Processes.

Xiaoyang He, Jingang Guo, Yasha Wang, Ying Guo

Proceedings of the 16th Asia-Pacific Software Engineering Conference, 2009

2008

A Systematic Method for Process Tailoring Based on Knowledge Reuse.

Xiaoyang He, Ya-sha Wang, Yu-xin Teng, Jin-gang Guo

Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008

2007

Using Scenario Oriented Response-time Management for Composite Web Services.

Ya-sha Wang, Junfeng Zhao, Ge Li

Proceedings of the 2007 IEEE International Conference on Web Services (ICWS 2007), 2007

A Process Pattern Language for Agile Methods.

Xiang-xi Meng, Ya-sha Wang, Lei Shi, Feng-Jian Wang

Proceedings of the 14th Asia-Pacific Software Engineering Conference (APSEC 2007), 2007

2006

A Quantitive Context Model of Software Process Patterns and Its Application Method.

Jiakuan Ma, Yasha Wang

Proceedings of the Sixth International Conference on Quality Software (QSIC 2006), 2006

2005

A Novel Media Access Control Algorithm Within Single Cluster in Hierarchical Ad Hoc Networks.

Dongni Li, Yasha Wang

Proceedings of the Mobile Ad-hoc and Sensor Networks, First International Conference, 2005

A Process Management Tool Supporting Component-Based Process Development and Hierarchical Management Mechanism.

Yasha Wang, Dongni Li, Xiaoyang He

Proceedings of the Fifth International Conference on Computer and Information Technology (CIT 2005), 2005

2004

Towards an Optimization-Based Method for Consolidating Domain Variabilities in Domain-Specific Web Services Composition.

Junfeng Zhao, Lu Zhang, Yasha Wang, Ying Jiang, Bing Xie

Proceedings of the Theoretical Aspects of Computing, 2004