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)

Personalized QoS Prediction forWeb Services via Collaborative Filtering. - Lingshuang Shao; Jing Zhang 005; Yong Wei; Junfeng Zhao 001; Bing Xie; Hong Mei 001 (ICWS, 2007)

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

Towards a User-perceived Service Availability Metric. - Lingshuang Shao; Lu Zhang 023; Junfeng Zhao 001; Bing Xie; Hong Mei 001 (IEEE SCC (2), 2008)

Dynamic Availability Estimation for Service Selection Based on Status Identification. - Lingshuang Shao; Lu Zhang 023; Tao Xie 001; Junfeng Zhao 001; Bing Xie; Hong Mei 001 (ICWS, 2008)

User-Perceived Service Availability: A Metric and an Estimation Approach. - Lingshuang Shao; Junfeng Zhao 001; Tao Xie 001; Lu Zhang 023; Bing Xie; Hong Mei 001 (ICWS, 2009)

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

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

A Flexible Multi-Source Web Service's QoS Acquisition Framework and Implementation. - Junfeng Zhao 001; Lingshuang Shao; Zhiwen Cheng; Bing Xie (UIC/ATC Workshops, 2010)

CoWS: An Internet-Enriched and Quality-Aware Web Services Search Engine. - Meng Li; Junfeng Zhao 001; Lijie Wang; Sibo Cai; Bing Xie (ICWS, 2011)

Internet-Based Evaluation and Prediction of Web Services Trustworthiness. - Meng Li; Zhebang Hua; Junfeng Zhao 001; Yanzhen Zou; Bing Xie (COMPSAC Workshops, 2012)

ARIMA Model-Based Web Services Trustworthiness Evaluation and Prediction. - Meng Li; Zhebang Hua; Junfeng Zhao 001; Yanzhen Zou; Bing Xie (ICSOC, 2012)

Towards Automatic Tagging for Web Services. - Lu Fang; Lijie Wang; Meng Li; Junfeng Zhao 001; Yanzhen Zou; Lingshuang Shao (ICWS, 2012)

Propositional Logic-Based and Evidence-Rich Trustworthiness Evaluation for Web Services. - Meng Li; Jing Jin; Junfeng Zhao 001; Bing Xie (SERVICES, 2012)

Mining Cohesive Domain Topics from Source Code. - Bing Xie; Meng Li; Jing Jin; Junfeng Zhao 001; Yanzhen Zou (ICSR, 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 graph database based crowdsourcing infrastructure for modelling and searching code structure. - Zeqi Lin; Junfeng Zhao 001; Bing Xie (Internetware, 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)

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

Data-Driven Composition for Service-Oriented Situational Web Applications. - Xuanzhe Liu; Yun Ma 002; Gang Huang 001; Junfeng Zhao 001; Hong Mei 001; Yunxin Liu 001 (IEEE Trans. Serv. Comput., 2015)

Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. - Lingxiao Zhang; Xiang Li 013; Haifeng Liu 005; Jing Mei; Gang Hu 001; Junfeng Zhao 001; Yanzhen Zou; Bing Xie; Guotong Xie (ICDM, 2016)

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

A Novel Pavement Performance Prediction Framework in Smart City Based on Tensor Decomposition. - Lixia Bao; Kai Yang; Yibo Wang; Junfeng Zhao 001 (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. - Kai Yang; Xiang Li 013; Haifeng Liu 005; Jing Mei; Guo Tong Xie; Junfeng Zhao 001; Bing Xie; Fei Wang 001 (AAAI, 2017)

Refining Traceability Links between Code and Software Documents. - Yingkui Cao; Yanzhen Zou; Yuxiang Luo; Bing Xie; Junfeng Zhao 001 (Internetware, 2017)

Document Distance Estimation via Code Graph Embedding. - Zeqi Lin; Junfeng Zhao 001; Yanzhen Zou; Bing Xie (Internetware, 2017)

Automatically Generating Task-Oriented API Learning Guide. - Zixiao Zhu; Chenyan Hua; Yanzhen Zou; Bing Xie; Junfeng Zhao 001 (Internetware, 2017)

Improving software text retrieval using conceptual knowledge in source code. - Zeqi Lin; Yanzhen Zou; Junfeng Zhao 001; Bing Xie (ASE, 2017)

Toward Summary Extraction Method for Functional Topic. - Wenpeng Li; Yingkui Cao; Junfeng Zhao 001; Yanzhen Zou; Bing Xie (QRS Companion, 2017)

Intelligent Development Environment and Software Knowledge Graph. - Zeqi Lin; Bing Xie; Yanzhen Zou; Junfeng Zhao 001; Xuandong Li; Jun Wei 001; Hailong Sun 001; Gang Yin (J. Comput. Sci. Technol., 2017)

基于LDA的软件代码主题摘要自动生成方法 (Summary Extraction Method for Code Topic Based on LDA). - Wenpeng Li; Junfeng Zhao 001; Bing Xie (计算机科学, 2017)

Toward accurate link between code and software documentation. - Yingkui Cao; Yanzhen Zou; Yuxiang Luo; Bing Xie; Junfeng Zhao 001 (Sci. China Inf. Sci., 2018)

Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China. - Jiangtao Wang 001; Junfeng Zhao 001; Yong Zhang; Xin Peng 001; Ying Li 012; Yun Xie (Computer, 2018)

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)

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)

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

VTracer: When Online Vehicle Trajectory Compression Meets Mobile Edge Computing. - Chao Chen 004; Yan Ding 002; Zhu Wang 001; Junfeng Zhao 001; Bin Guo 001; Daqing Zhang 001 (IEEE Syst. J., 2020)

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)

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)

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)

LDA-Reg: Knowledge Driven Regularization Using External Corpora. - Kai Yang; Zhaojing Luo; Jinyang Gao; Junfeng Zhao 001; Beng Chin Ooi; Bing Xie (IEEE Trans. Knowl. Data Eng., 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)

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)

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)

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)

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)

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)

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation. - Xinyu Ma; Xu Chu; Zhibang Yang; Yang Lin; Xin Gao; Junfeng Zhao 001 (ICML, 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)

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)

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)

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)

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)

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)

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)

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)

EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models. - Yuzhen Xiao; Jiahe Song; Yongxin Xu; Ruizhe Zhang 013; Yiqi Xiao; Xin Lu; Runchuan Zhu; Bowen Jiang; Junfeng Zhao 001 (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)

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)