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2020 – today
- 2024
[j41]Junyi Gao
, Yinghao Zhu, Wenqing Wang, Zixiang Wang, Guiying Dong, Wen Tang, Hao Wang, Yasha Wang, Ewen M. Harrison, Liantao Ma:
A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care. Patterns 5(4): 100951 (2024)- [c81]Yang Lin, Xinyu Ma, Xin Gao, Ruiqing Li, Yasha Wang, Xu Chu:
Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation. ACL (Findings) 2024: 13762-13774 - [c80]Zhihao Yu, Chaohe Zhang, Yasha Wang, Wen Tang, Jiangtao Wang, Liantao Ma:
Predict and Interpret Health Risk Using Ehr Through Typical Patients. ICASSP 2024: 1506-1510 - [c79]Xin Gao, Yang Lin, Ruiqing Li, Yasha Wang, Xu Chu, Xinyu Ma, Hailong Yu:
Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning. ICDE 2024: 584-597 - [c78]Yongxin Xu, Xinke Jiang, Xu Chu, Yuzhen Xiao, Chaohe Zhang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. KDD 2024: 3633-3644 - [i37]Zhihao Yu, Xu Chu, Liantao Ma, Yasha Wang, Wenwu Zhu:
Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series. CoRR abs/2401.07249 (2024) - [i36]Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang:
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation. CoRR abs/2401.09943 (2024) - [i35]Weibin Liao, Yinghao Zhu, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma:
Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. CoRR abs/2401.16796 (2024) - [i34]Weibin Liao, Yinghao Zhu, Xinyuan Wang, Chengwei Pan, Yasha Wang, Liantao Ma:
LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation. CoRR abs/2403.05246 (2024) - [i33]Yang Lin, Xinyu Ma, Xu Chu, Yujie Jin, Zhibang Yang, Yasha Wang, Hong Mei:
LoRA Dropout as a Sparsity Regularizer for Overfitting Control. CoRR abs/2404.09610 (2024) - [i32]Zhihao Yu, Xu Chu, Yujie Jin, Yasha Wang, Junfeng Zhao:
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction. CoRR abs/2405.09039 (2024) - [i31]Tianlong Wang, Xianfeng Jiao, Yifan He, Zhongzhi Chen, Yinghao Zhu, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma:
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories. CoRR abs/2406.00034 (2024) - [i30]Yinghao Zhu, Junyi Gao, Zixiang Wang, Weibin Liao, Xiaochen Zheng, Lifang Liang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Liantao Ma:
Is larger always better? Evaluating and prompting large language models for non-generative medical tasks. CoRR abs/2407.18525 (2024) - [i29]Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang:
KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. CoRR abs/2408.03297 (2024) - [i28]Xinke Jiang, Yuchen Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang:
TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems. CoRR abs/2408.09199 (2024) - [i27]Zhihao Yu, Yujie Jin, Yongxin Xu, Xu Chu, Yasha Wang, Junfeng Zhao:
IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models. CoRR abs/2408.13073 (2024) - 2023
- [j40]Yujie Feng, Jiangtao Wang, Yasha Wang, Xu Chu:
Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method. ACM Trans. Comput. Heal. 4(1): 8:1-8:18 (2023) - [j39]Junyi Ma, Xuanliang Wang, Yasha Wang, Xu Chu, Junfeng Zhao:
An Adaptive Fusion Risk-Zone Detection Network and its Application. Int. J. Pattern Recognit. Artif. Intell. 37(6): 2350014:1-2350014:18 (2023) - [j38]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:
Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients. Patterns 4(12): 100892 (2023) - [j37]Yujie Feng, Jiangtao Wang, Yasha Wang, Xu Chu:
Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction. IEEE Trans. Big Data 9(4): 1057-1070 (2023) - [j36]Liping Gao, Chao Chen, Feng Chu, Chengwu Liao, Hongyu Huang, Yasha Wang:
MOOP: An Efficient Utility-Rich Route Planning Framework Over Two-Fold Time-Dependent Road Networks. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1554-1570 (2023) - [j35]Xinyu Ma, Yasha Wang, Xu Chu, Liantao Ma, Wen Tang, Junfeng Zhao, Ye Yuan, Guoren Wang:
Patient Health Representation Learning via Correlational Sparse Prior of Medical Features. IEEE Trans. Knowl. Data Eng. 35(11): 11769-11783 (2023) - [c77]Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations. AAAI 2023: 5357-5365 - [c76]Yang Lin, Xin Gao, Xu Chu, Yasha Wang, Junfeng Zhao, Chao Chen:
Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words. ACL (Findings) 2023: 13361-13377 - [c75]Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei:
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks. ICML 2023: 6158-6184 - [c74]Yongxin Xu, Kai Yang, Chaohe Zhang, Peinie Zou, Zhiyuan Wang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data. IJCAI 2023: 4921-4929 - [c73]Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu:
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications. NeurIPS 2023 - [c72]Yongxin Xu, Xu Chu, Kai Yang, Zhiyuan Wang, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. WWW 2023: 2819-2830 - [i26]Liantao Ma, Chaohe Zhang, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Xinyu Ma, Yasha Wang, Wen Tang, Xinju Zhao, Wenjie Ruan, Tao Wang:
Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset. CoRR abs/2301.07107 (2023) - [i25]Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu:
Graph Interpolation via Fast Fused-Gromovization. CoRR abs/2306.15963 (2023) - [i24]Hongxin Ding, Peinie Zou, Zhiyuan Wang, Junfeng Zhao, Yasha Wang, Qiang Zhou:
A ModelOps-based Framework for Intelligent Medical Knowledge Extraction. CoRR abs/2310.02593 (2023) - [i23]Zhongji Zhang, Yuhang Wang, Yinghao Zhu, Xinyu Ma, Tianlong Wang, Chaohe Zhang, Yasha Wang, Liantao Ma:
A Transfer-Learning-Based Prognosis Prediction Paradigm that Bridges Data Distribution Shift across EMR Datasets. CoRR abs/2310.07799 (2023) - [i22]Zhihao Yu, Chaohe Zhang, Yasha Wang, Wen Tang, Jiangtao Wang, Liantao Ma:
Predict and Interpret Health Risk using EHR through Typical Patients. CoRR abs/2312.10977 (2023) - [i21]Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang:
Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models. CoRR abs/2312.15883 (2023) - [i20]Zhihao Yu, Liantao Ma, Yasha Wang, Junfeng Zhao:
Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting. CoRR abs/2312.16790 (2023) - 2022
- [j34]Chao Chen, Sen Yang, Yasha Wang, Bin Guo, Daqing Zhang:
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries. IEEE Trans. Big Data 8(3): 827-842 (2022) - [c71]Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao:
Enhancing Robust Text Classification via Category Description. ICDM 2022: 151-160 - [c70]Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei:
DNA: Domain Generalization with Diversified Neural Averaging. ICML 2022: 4010-4034 - [c69]Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu:
Domain Generalization through the Lens of Angular Invariance. IJCAI 2022: 995-1001 - [c68]Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao:
M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. KDD 2022: 2418-2428 - [i19]Xinyu Ma, Xu Chu, Yasha Wang, Hailong Yu, Liantao Ma, Wen Tang, Junfeng Zhao:
MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering. CoRR abs/2204.10011 (2022) - [i18]Junyi Gao, Yinghao Zhu, Wenqing Wang, Yasha Wang, Wen Tang, Liantao Ma:
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis. CoRR abs/2209.07805 (2022) - [i17]Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu:
Domain Generalization through the Lens of Angular Invariance. CoRR abs/2210.15836 (2022) - [i16]Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao:
M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. CoRR abs/2210.17292 (2022) - 2021
- [b1]Chao Chen, Daqing Zhang, Yasha Wang, Hongyu Huang:
Enabling Smart Urban Services with GPS Trajectory Data. Springer 2021, ISBN 978-981-16-0177-4, pp. 3-347 - [j33]Chao Chen, Liping Gao, Xuefeng Xie, Liang Feng, Yasha Wang:
2TD Path-Planner: Towards a More Realistic Path Planning System over Two-Fold Time-Dependent Road Networks [Application Notes]. IEEE Comput. Intell. Mag. 16(2): 78-98 (2021) - [j32]Chaoxiong Chen, Chao Chen, Yasha Wang, Junfeng Zhao, Yijian Wu, Hao Sheng, Yang Li:
I3City: An Interoperated, Intelligent, and Integrated Platform for Smart City Ecosystem. IT Prof. 23(4): 88-94 (2021) - [c67]Chaohe Zhang, Xin Gao, Liantao Ma, Yasha Wang, Jiangtao Wang, Wen Tang:
GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients. AAAI 2021: 715-723 - [c66]Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie:
Learning Groupwise Explanations for Black-Box Models. IJCAI 2021: 2396-2402 - [c65]Yujie Feng, Jiangtao Wang, Yasha Wang, Sumi Helal:
Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations. WWW 2021: 183-193 - [c64]Liantao Ma, Xinyu Ma, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Chaohe Zhang, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang:
Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis. WWW 2021: 3558-3568 - 2020
- [j31]Zhangbing Zhou, Jinfeng Wen, Yasha Wang, Xiao Xue, Patrick C. K. Hung, Long Dinh Nguyen:
Topic-based crossing-workflow fragment discovery. Future Gener. Comput. Syst. 112: 1141-1155 (2020) - [j30]Jiangtao Wang, Junyi Ma, Yasha Wang, Ning Wang, Leye Wang, Daqing Zhang, Feng Wang, Qin Lv:
Will Online Digital Footprints Reveal Your Relationship Status?: An Empirical Study of Social Applications for Sexual-Minority Men. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 29:1-29:23 (2020) - [j29]Jue Wu, Junyi Ma, Yasha Wang, Jiangtao Wang:
Understanding and Predicting the Burst of Burnout via Social Media. Proc. ACM Hum. Comput. Interact. 4(CSCW3): 1-27 (2020) - [j28]Liantao Ma, Chaohe Zhang, Yasha Wang, Guangju Peng, Chao Chen, Junfeng Zhao, Jiangtao Wang:
Estimating Urban Road GPS Environment Friendliness with Bus Trajectories: A City-Scale Approach. Sensors 20(6): 1580 (2020) - [j27]Jiangtao Wang, Feng Wang, Yasha Wang, Leye Wang, Zhaopeng Qiu, Daqing Zhang, Bin Guo, Qin Lv:
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing. IEEE Trans. Mob. Comput. 19(3): 598-611 (2020) - [j26]Chao Chen, Yan Ding, Suiming Guo, Yasha Wang:
DAVT: An Error-Bounded Vehicle Trajectory Data Representation and Compression Framework. IEEE Trans. Veh. Technol. 69(10): 10606-10618 (2020) - [c63]Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma:
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. AAAI 2020: 825-832 - [c62]Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao:
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. AAAI 2020: 833-840 - [c61]Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie:
COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment. AAAI 2020: 3025-3032 - [c60]Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu:
Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation. CIKM 2020: 395-404 - [c59]Yan Li, Bo An, Junming Ma, Donggang Cao, Yasha Wang, Hong Mei:
SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud. ICDCS 2020: 45-55 - [c58]Yuanduo He, Xu Chu, Yasha Wang:
Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining. ICDE 2020: 373-384 - [c57]Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong:
Distance Metric Learning with Joint Representation Diversification. ICML 2020: 1962-1973 - [c56]Deng Zhao, Zhangbing Zhou, Yasha Wang, Walid Gaaloul:
Detecting Temporal Anomaly and Interestingness in Timed Business Process Models. ICWS 2020: 418-422 - [c55]Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun:
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. WWW 2020: 530-540 - [i15]Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun:
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. CoRR abs/2001.10054 (2020) - [i14]Liantao Ma, Xinyu Ma, Junyi Gao, Chaohe Zhang, Zhihao Yu, Xianfeng Jiao, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang:
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis. CoRR abs/2007.08848 (2020) - [i13]Yan Li, Bo An, Junming Ma, Donggang Cao, Yasha Wang, Hong Mei:
SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud. CoRR abs/2012.03576 (2020)
2010 – 2019
- 2019
- [j25]Jiangtao Wang, Yasha Wang, Qin Lv:
Crowd-Assisted Machine Learning: Current Issues and Future Directions. Computer 52(1): 46-53 (2019) - [j24]Yibo Wang, Guangju Peng, Yuanduo He, Yasha Wang, Junfeng Zhao, Jiangtao Wang:
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). 计算机科学 46(11): 251-259 (2019) - [j23]Chao Chen, Chengwu Liao, Xuefeng Xie, Yasha Wang, Junfeng Zhao:
Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes. Pers. Ubiquitous Comput. 23(1): 53-66 (2019) - [j22]Jiangtao Wang, Yasha Wang, Daqing Zhang, Jorge Gonçalves, Denzil Ferreira, Aku Visuri, Sen Ma:
Learning-Assisted Optimization in Mobile Crowd Sensing: A Survey. IEEE Trans. Ind. Informatics 15(1): 15-22 (2019) - [j21]Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Leye Wang, Zhaopeng Qiu:
Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing. IEEE Trans. Mob. Comput. 18(7): 1661-1673 (2019) - [j20]Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Brian Y. Lim, Leye Wang:
Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors. IEEE Trans. Mob. Comput. 18(9): 1979-1991 (2019) - [j19]Jiangtao Wang, Yasha Wang, Daqing Zhang, Qin Lv, Chao Chen:
Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions. IEEE Wirel. Commun. 26(2): 86-92 (2019) - [c54]Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie:
Explainable Recommendation through Attentive Multi-View Learning. AAAI 2019: 3622-3629 - [c53]Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu:
STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. CIKM 2019: 1903-1912 - [c52]Longbiao Chen, Zhihan Jiang, Jiangtao Wang, Yasha Wang:
Data-Driven Bike Sharing System Optimization: State of the Art and Future Opportunities. EWSN 2019: 347-350 - [c51]Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie:
CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare. ICDM 2019: 1036-1041 - [c50]Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao:
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction. IJCAI 2019: 4518-4524 - [c49]Jinfeng Wen, Zhangbing Zhou, Yasha Wang, Walid Gaaloul, Yucong Duan:
Discovering Crossing-Workflow Fragments Based on Activity Knowledge Graph. OTM Conferences 2019: 515-532 - [c48]Liantao Ma, Yasha Wang, Guangju Peng, Chaohe Zhang, Chao Chen, Junfeng Zhao, Jiangtao Wang:
Multi-Source Data Integration-Based Urban Road GPS Environment Friendliness Estimation. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 626-633 - [c47]Kai Yang, Wenqi Sun, Junfeng Zhao, Yasha Wang, Bing Xie:
Supervised Nonnegative Tucker Decomposition for Computational Phenotyping. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 715-722 - [c46]Xin Gao, Chaohe Zhang, Liantao Ma, Yasha Wang, Jiangtao Wang, Daqing Zhang:
Correlating MSM's Mental Health with Usage Behaviors on MSM-Specific Social Applications. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 891-898 - [c45]Junyi Gao, Weihao Tan, Liantao Ma, Yasha Wang, Wen Tang:
MUSEFood: Multi-Sensor-Based Food Volume Estimation on Smartphones. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 899-906 - [c44]Shuang Tang, Junfeng Zhao, Yasha Wang, Da Cui:
HISMA: A Human-Machine Iterative Schema Matching Algorithm. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1003-1010 - [c43]Feng Wang, Yasha Wang, Jiangtao Wang, Haoyi Xiong, Junfeng Zhao, Daqing Zhang:
Assessing Mental Stress Based on Smartphone Sensing Data: An Empirical Study. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1031-1038 - [i12]Junyi Gao, Weihao Tan, Liantao Ma, Yasha Wang, Wen Tang:
MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones. CoRR abs/1903.07437 (2019) - [i11]Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma:
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. CoRR abs/1911.12205 (2019) - [i10]Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiantao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao:
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. CoRR abs/1911.12216 (2019) - 2018
- [j18]Jiangtao Wang, Yasha Wang, Daqing Zhang, Sumi Helal:
Energy Saving Techniques in Mobile Crowd Sensing: Current State and Future Opportunities. IEEE Commun. Mag. 56(5): 164-169 (2018) - [j17]Yasha Wang, Katsuyuki Yamazaki:
Governments in the Age of Big Data and Smart Cities [Guest Editors' Introduction]. Computer 51(12): 10-12 (2018) - [j16]Xiang Li, Daqing Zhang, Jie Xiong, Yue Zhang, Shengjie Li, Yasha Wang, Hong Mei:
Training-Free Human Vitality Monitoring Using Commodity Wi-Fi Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 121:1-121:25 (2018) - [j15]Jiangtao Wang, Leye Wang, Yasha Wang, Daqing Zhang, Linghe Kong:
Task Allocation in Mobile Crowd Sensing: State-of-the-Art and Future Opportunities. IEEE Internet Things J. 5(5): 3747-3757 (2018) - [j14]Leye Wang, Daqing Zhang, Dingqi Yang, Animesh Pathak, Chao Chen, Xiao Han, Haoyi Xiong, Yasha Wang:
SPACE-TA: Cost-Effective Task Allocation Exploiting Intradata and Interdata Correlations in Sparse Crowdsensing. ACM Trans. Intell. Syst. Technol. 9(2): 20:1-20:28 (2018) - [j13]Chao Chen, Shuhai Jiao, Shu Zhang, Weichen Liu, Liang Feng, Yasha Wang:
TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data. IEEE Trans. Intell. Transp. Syst. 19(10): 3292-3304 (2018) - [j12]Jiangtao Wang, Yasha Wang, Daqing Zhang, Feng Wang, Haoyi Xiong, Chao Chen, Qin Lv, Zhaopeng Qiu:
Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance. IEEE Trans. Mob. Comput. 17(9): 2101-2113 (2018) - [j11]Jiangtao Wang, Yasha Wang, Leye Wang, Yuanduo He:
GP-selector: a generic participant selection framework for mobile crowdsourcing systems. World Wide Web 21(3): 759-782 (2018) - [c42]Yuanduo He, Xu Chu, Guangju Peng, Yasha Wang, Zhu Jin, Xiaorong Wang:
Mining Rules from Real-Valued Time Series: A Relative Information-Gain-Based Approach. COMPSAC (1) 2018: 388-397 - [c41]Leye Wang, Wenbin Liu, Daqing Zhang, Yasha Wang, En Wang, Yongjian Yang:
Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing. ICDCS 2018: 1543-1546 - [c40]Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, Guangju Peng:
Characteristic Subspace Learning for Time Series Classification. ICDM 2018: 1019-1024 - [c39]Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao:
CAPED: Context-Aware Powerlet-Based Energy Disaggregation. PAKDD (1) 2018: 236-247 - [i9]Leye Wang, Wenbin Liu, Daqing Zhang, Yasha Wang, En Wang, Yongjian Yang:
Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing. CoRR abs/1804.07047 (2018) - [i8]Jiangtao Wang, Leye Wang, Yasha Wang, Daqing Zhang, Linghe Kong:
Task Allocation in Mobile Crowd Sensing: State of the Art and Future Opportunities. CoRR abs/1805.08418 (2018) - [i7]Jiangtao Wang, Yasha Wang, Daqing Zhang, Qin Lv, Chao Chen:
Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions. CoRR abs/1805.08420 (2018) - [i6]Jiangtao Wang, Feng Wang, Yasha Wang, Leye Wang, Zhaopeng Qiu, Daqing Zhang, Bin Guo, Qin Lv:
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing. CoRR abs/1805.08480 (2018) - [i5]Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Leye Wang, Zhaopeng Qiu:
Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing. CoRR abs/1805.08525 (2018) - [i4]Chao Chen, Sen Yang, Weichen Liu, Yasha Wang, Bin Guo, Daqing Zhang:
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries. CoRR abs/1809.02897 (2018) - [i3]Xu Chu, Yang Lin, Jingyue Gao, Jiangtao Wang, Yasha Wang, Leye Wang:
Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions. CoRR abs/1811.00208 (2018) - 2017
- [j10]