Junfeng Zhao

According to our database, Junfeng Zhao authored at least 70 papers between 2004 and 2024.

Collaborative distances:

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

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

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

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

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

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

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

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

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation.

Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

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

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 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

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

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

LDA-Reg: Knowledge Driven Regularization Using External Corpora.

Kai Yang, Zhaojing Luo, Jinyang Gao, Junfeng Zhao, Beng Chin Ooi, Bing Xie

IEEE Trans. Knowl. Data Eng., 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

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

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

2020

VTracer: When Online Vehicle Trajectory Compression Meets Mobile Edge Computing.

Chao Chen, Yan Ding, Zhu Wang, Junfeng Zhao, Bin Guo, Daqing Zhang

IEEE Syst. J., 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

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

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

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

2018

Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China.

Jiangtao Wang, Junfeng Zhao, Yong Zhang, Xin Peng, Ying Li, Yun Xie

Computer, 2018

Toward accurate link between code and software documentation.

Yingkui Cao, Yanzhen Zou, Yuxiang Luo, Bing Xie, Junfeng Zhao

Sci. China Inf. Sci., 2018

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, Bing Xie

计算机科学, 2017

Intelligent Development Environment and Software Knowledge Graph.

Zeqi Lin, Bing Xie, Yanzhen Zou, Junfeng Zhao, Xuandong Li, Jun Wei, Hailong Sun, Gang Yin

J. Comput. Sci. Technol., 2017

Toward Summary Extraction Method for Functional Topic.

Wenpeng Li, Yingkui Cao, Junfeng Zhao, Yanzhen Zou, Bing Xie

Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Improving software text retrieval using conceptual knowledge in source code.

Zeqi Lin, Yanzhen Zou, Junfeng Zhao, Bing Xie

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Automatically Generating Task-Oriented API Learning Guide.

Zixiao Zhu, Chenyan Hua, Yanzhen Zou, Bing Xie, Junfeng Zhao

Proceedings of the 9th Asia-Pacific Symposium on Internetware, 2017

Document Distance Estimation via Code Graph Embedding.

Zeqi Lin, Junfeng Zhao, Yanzhen Zou, Bing Xie

Proceedings of the 9th Asia-Pacific Symposium on Internetware, 2017

Refining Traceability Links between Code and Software Documents.

Yingkui Cao, Yanzhen Zou, Yuxiang Luo, Bing Xie, Junfeng Zhao

Proceedings of the 9th Asia-Pacific Symposium on Internetware, 2017

TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records.

Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

A Novel Pavement Performance Prediction Framework in Smart City Based on Tensor Decomposition.

Lixia Bao, Kai Yang, Yibo Wang, Junfeng Zhao

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

Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses.

Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Data-Driven Composition for Service-Oriented Situational Web Applications.

Xuanzhe Liu, Yun Ma, Gang Huang, Junfeng Zhao, Hong Mei, Yunxin Liu

IEEE Trans. Serv. Comput., 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

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

A graph database based crowdsourcing infrastructure for modelling and searching code structure.

Zeqi Lin, Junfeng Zhao, Bing Xie

Proceedings of the 6th Asia-Pacific Symposium on Internetware, 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

Mining Cohesive Domain Topics from Source Code.

Bing Xie, Meng Li, Jing Jin, Junfeng Zhao, Yanzhen Zou

Proceedings of the Safe and Secure Software Reuse, 2013

2012

Propositional Logic-Based and Evidence-Rich Trustworthiness Evaluation for Web Services.

Meng Li, Jing Jin, Junfeng Zhao, Bing Xie

Proceedings of the Eighth IEEE World Congress on Services, 2012

Towards Automatic Tagging for Web Services.

Lu Fang, Lijie Wang, Meng Li, Junfeng Zhao, Yanzhen Zou, Lingshuang Shao

Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

ARIMA Model-Based Web Services Trustworthiness Evaluation and Prediction.

Meng Li, Zhebang Hua, Junfeng Zhao, Yanzhen Zou, Bing Xie

Proceedings of the Service-Oriented Computing - 10th International Conference, 2012

Internet-Based Evaluation and Prediction of Web Services Trustworthiness.

Meng Li, Zhebang Hua, Junfeng Zhao, Yanzhen Zou, Bing Xie

Proceedings of the 36th Annual IEEE Computer Software and Applications Conference Workshops, 2012

2011

CoWS: An Internet-Enriched and Quality-Aware Web Services Search Engine.

Meng Li, Junfeng Zhao, Lijie Wang, Sibo Cai, Bing Xie

Proceedings of the IEEE International Conference on Web Services, 2011

2010

A Flexible Multi-Source Web Service's QoS Acquisition Framework and Implementation.

Junfeng Zhao, Lingshuang Shao, Zhiwen Cheng, Bing Xie

Proceedings of the Symposia and Workshops on Ubiquitous, 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

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

User-Perceived Service Availability: A Metric and an Estimation Approach.

Lingshuang Shao, Junfeng Zhao, Tao Xie, Lu Zhang, Bing Xie, Hong Mei

Proceedings of the IEEE International Conference on Web Services, 2009

2008

Dynamic Availability Estimation for Service Selection Based on Status Identification.

Lingshuang Shao, Lu Zhang, Tao Xie, Junfeng Zhao, Bing Xie, Hong Mei

Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008

Towards a User-perceived Service Availability Metric.

Lingshuang Shao, Lu Zhang, Junfeng Zhao, Bing Xie, Hong Mei

Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 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

Personalized QoS Prediction forWeb Services via Collaborative Filtering.

Lingshuang Shao, Jing Zhang, Yong Wei, Junfeng Zhao, Bing Xie, Hong Mei

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

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