Junfeng Zhao - RankMe

95 papers A* 20A 7B 4C 4Journal 38Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	StackPlanner: A Centralized Hierarchical Multi-Agent System with Task-Experience Memory Management. CoRR Ruizhe Zhang, Xinke Jiang, Zhibang Yang, Zhixin Zhang, Jiaran Gao, Yuzhen Xiao, Hongbin Lai, Xu Chu, Junfeng Zhao, Yasha Wang
2026	A*	`conf`	Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance. AAAI Yue Fang, Yuxin Guo, Jiaran Gao, Hongxin Ding, Xinke Jiang, Weibin Liao, Yongxin Xu, Yinghao Zhu, Zhibang Yang, Liantao Ma, Junfeng Zhao, Yasha Wang
2025	A*	`conf`	3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection. EMNLP Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Weibin Liao, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	A three-tiered semi supervised MTL mechanism and its application in dating apps. Neural Comput. Appl. Junyi Ma, Yasha Wang, Xuanliang Wang, Jiangtao Wang, Junfeng Zhao
2025	J	`jnl`	ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning. CoRR Jinyang Zhang, Yue Fang, Hongxin Ding, Weibin Liao, Muyang Ye, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	Bridging Global Intent with Local Details: A Hierarchical Representation Approach for Semantic Validation in Text-to-SQL. CoRR Rihong Qiu, Zhibang Yang, Xinke Jiang, Weibin Liao, Xin Gao, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search. CoRR Zhibang Yang, Xinke Jiang, Rihong Qiu, Ruiqing Li, Yihang Zhang, Yue Fang, Yongxin Xu, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang
2025	A*	`conf`	DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing. ICLR Xinyu Ma, Yifeng Xu, Yang Lin, Tianlong Wang, Xu Chu, Xin Gao, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing. CoRR Xinyu Ma, Yifeng Xu, Yang Lin, Tianlong Wang, Xu Chu, Xin Gao, Junfeng Zhao, Yasha Wang
2025	A*	`conf`	DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations. AAAI Yongxin Xu, Xinke Jiang, Xu Chu, Rihong Qiu, Yujie Feng, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
2025	J	`jnl`	EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models. CoRR Yuzhen Xiao, Jiahe Song, Yongxin Xu, Ruizhe Zhang, Yiqi Xiao, Xin Lu, Runchuan Zhu, Bowen Jiang, Junfeng Zhao
2025	A*	`conf`	Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation. ICML Rihong Qiu, Xinke Jiang, Yuchen Fang, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang
2025	—	`conf`	HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses. ACL (1) Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang
2025	A*	`conf`	KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. AAAI Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models. CoRR Weibin Liao, Xin Gao, Tianyu Jia, Rihong Qiu, Yifan Zhu, Yang Lin, Xu Chu, Junfeng Zhao, Yasha Wang
2025	—	`conf`	Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning. ACL (1) Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs. CoRR Hongxin Ding, Baixiang Huang, Yue Fang, Weibin Liao, Xinke Jiang, Zheng Li, Junfeng Zhao, Yasha Wang
2025	—	`conf`	TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems. ACL (1) Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xinyu Ma, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance. CoRR Yue Fang, Yuxin Guo, Jiaran Gao, Hongxin Ding, Xinke Jiang, Weibin Liao, Yongxin Xu, Yinghao Zhu, Zhibang Yang, Liantao Ma, Junfeng Zhao, Yasha Wang
2024	J	`jnl`	3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation. CoRR Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Xu Chu, Junfeng Zhao, Yasha Wang
2024	—	`conf`	HealthEdge: A Proactive DRL-Driven Service Reconfiguration Mechanism for Pre-Hospital Emergency Response in Edge Networks. ICDH Xiaocui Li, Junfeng Zhao, Yasha Wang, Liantao Ma, Junyi Ma, Xin Gao, Jinhui Zhang
2024	—	`conf`	ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps. ACL (3) Jiahe Song, Hongxin Ding, Zhiyuan Wang, Yongxin Xu, Yasha Wang, Junfeng Zhao
2024	J	`jnl`	Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation. CoRR Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang
2024	J	`jnl`	IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models. CoRR Zhihao Yu, Yujie Jin, Yongxin Xu, Xu Chu, Yasha Wang, Junfeng Zhao
2024	J	`jnl`	KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. CoRR Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang
2024	A*	`conf`	Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation. ICML Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao
2024	J	`jnl`	Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation. CoRR Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao
2024	J	`jnl`	Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning. CoRR Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang
2024	A*	`conf`	ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. KDD Yongxin Xu, Xinke Jiang, Xu Chu, Yuzhen Xiao, Chaohe Zhang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
2024	A*	`conf`	RAGraph: A General Retrieval-Augmented Graph Learning Framework. NeurIPS Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Chu Xu, Junfeng Zhao, Yasha Wang
2024	J	`jnl`	RAGraph: A General Retrieval-Augmented Graph Learning Framework. CoRR Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang
2024	—	`conf`	RNN enhanced Compartmental Model for Infectious Disease Prediction. ICDH Junyi Ma, Junfeng Zhao, Yasha Wang, Liantao Ma, Xiaocui Li, Xin Gao, Jinhui Zhang
2024	A*	`conf`	SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction. NeurIPS Zhihao Yu, Chu Xu, Yujie Jin, Yasha Wang, Junfeng Zhao
2024	J	`jnl`	SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction. CoRR Zhihao Yu, Xu Chu, Yujie Jin, Yasha Wang, Junfeng Zhao
2024	J	`jnl`	TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems. CoRR Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang
2023	J	`jnl`	A ModelOps-based Framework for Intelligent Medical Knowledge Extraction. CoRR Hongxin Ding, Peinie Zou, Zhiyuan Wang, Junfeng Zhao, Yasha Wang, Qiang Zhou
2023	J	`jnl`	An Adaptive Fusion Risk-Zone Detection Network and its Application. Int. J. Pattern Recognit. Artif. Intell. Junyi Ma, Xuanliang Wang, Yasha Wang, Xu Chu, Junfeng Zhao
2023	—	`conf`	Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words. ACL (Findings) Yang Lin, Xin Gao, Xu Chu, Yasha Wang, Junfeng Zhao, Chao Chen
2023	A*	`conf`	Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications. NeurIPS Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu
2023	J	`jnl`	Graph Interpolation via Fast Fused-Gromovization. CoRR Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu
2023	A*	`conf`	KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations. AAAI Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
2023	J	`jnl`	Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting. CoRR Zhihao Yu, Liantao Ma, Yasha Wang, Junfeng Zhao
2023	J	`jnl`	Patient Health Representation Learning via Correlational Sparse Prior of Medical Features. IEEE Trans. Knowl. Data Eng. Xinyu Ma, Yasha Wang, Xu Chu, Liantao Ma, Wen Tang, Junfeng Zhao, Ye Yuan, Guoren Wang
2023	A*	`conf`	SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. WWW Yongxin Xu, Xu Chu, Kai Yang, Zhiyuan Wang, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
2023	J	`jnl`	Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models. CoRR Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang
2023	A*	`conf`	VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data. IJCAI Yongxin Xu, Kai Yang, Chaohe Zhang, Peinie Zou, Zhiyuan Wang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
2022	A*	`conf`	Enhancing Robust Text Classification via Category Description. ICDM Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao
2022	J	`jnl`	LDA-Reg: Knowledge Driven Regularization Using External Corpora. IEEE Trans. Knowl. Data Eng. Kai Yang, Zhaojing Luo, Jinyang Gao, Junfeng Zhao, Beng Chin Ooi, Bing Xie
2022	J	`jnl`	M CoRR Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao
2022	A*	`conf`	M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. KDD Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao
2022	J	`jnl`	MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering. CoRR Xinyu Ma, Xu Chu, Yasha Wang, Hailong Yu, Liantao Ma, Wen Tang, Junfeng Zhao
2021	J	`jnl`	I IT Prof. Chaoxiong Chen, Chao Chen, Yasha Wang, Junfeng Zhao, Yijian Wu, Hao Sheng, Yang Li
2020	A*	`conf`	COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment. AAAI Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie
2020	J	`jnl`	Estimating Urban Road GPS Environment Friendliness with Bus Trajectories: A City-Scale Approach. Sensors Liantao Ma, Chaohe Zhang, Yasha Wang, Guangju Peng, Chao Chen, Junfeng Zhao, Jiangtao Wang
2020	J	`jnl`	VTracer: When Online Vehicle Trajectory Compression Meets Mobile Edge Computing. IEEE Syst. J. Chao Chen, Yan Ding, Zhu Wang, Junfeng Zhao, Bin Guo, Daqing Zhang
2019	—	`conf`	Assessing Mental Stress Based on Smartphone Sensing Data: An Empirical Study. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Feng Wang, Yasha Wang, Jiangtao Wang, Haoyi Xiong, Junfeng Zhao, Daqing Zhang
2019	—	`conf`	HISMA: A Human-Machine Iterative Schema Matching Algorithm. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Shuang Tang, Junfeng Zhao, Yasha Wang, Da Cui
2019	—	`conf`	Multi-Source Data Integration-Based Urban Road GPS Environment Friendliness Estimation. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Liantao Ma, Yasha Wang, Guangju Peng, Chaohe Zhang, Chao Chen, Junfeng Zhao, Jiangtao Wang
2019	—	`conf`	Supervised Nonnegative Tucker Decomposition for Computational Phenotyping. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Kai Yang, Wenqi Sun, Junfeng Zhao, Yasha Wang, Bing Xie
2019	J	`jnl`	Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes. Pers. Ubiquitous Comput. Chao Chen, Chengwu Liao, Xuefeng Xie, Yasha Wang, Junfeng Zhao
2019	J	`jnl`	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 Yibo Wang, Guangju Peng, Yuanduo He, Yasha Wang, Junfeng Zhao, Jiangtao Wang
2018	J	`jnl`	Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China. Computer Jiangtao Wang, Junfeng Zhao, Yong Zhang, Xin Peng, Ying Li, Yun Xie
2018	J	`jnl`	Toward accurate link between code and software documentation. Sci. China Inf. Sci. Yingkui Cao, Yanzhen Zou, Yuxiang Luo, Bing Xie, Junfeng Zhao
2017	—	`conf`	Automatically Generating Task-Oriented API Learning Guide. Internetware Zixiao Zhu, Chenyan Hua, Yanzhen Zou, Bing Xie, Junfeng Zhao
2017	—	`conf`	Document Distance Estimation via Code Graph Embedding. Internetware Zeqi Lin, Junfeng Zhao, Yanzhen Zou, Bing Xie
2017	A*	`conf`	Improving software text retrieval using conceptual knowledge in source code. ASE Zeqi Lin, Yanzhen Zou, Junfeng Zhao, Bing Xie
2017	J	`jnl`	Intelligent Development Environment and Software Knowledge Graph. J. Comput. Sci. Technol. Zeqi Lin, Bing Xie, Yanzhen Zou, Junfeng Zhao, Xuandong Li, Jun Wei, Hailong Sun, Gang Yin
2017	—	`conf`	Refining Traceability Links between Code and Software Documents. Internetware Yingkui Cao, Yanzhen Zou, Yuxiang Luo, Bing Xie, Junfeng Zhao
2017	A*	`conf`	TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. AAAI Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang
2017	—	`conf`	Toward Summary Extraction Method for Functional Topic. QRS Companion Wenpeng Li, Yingkui Cao, Junfeng Zhao, Yanzhen Zou, Bing Xie
2017	J	`jnl`	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). 计算机科学 Wenpeng Li, Junfeng Zhao, Bing Xie
2016	—	`conf`	A Novel Pavement Performance Prediction Framework in Smart City Based on Tensor Decomposition. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld Lixia Bao, Kai Yang, Yibo Wang, Junfeng Zhao
2016	—	`conf`	Mining Patterns of Disease Progression: A Topic-Model-Based Approach. MIE Lingxiao Zhang, Junfeng Zhao, Yasha Wang, Bing Xie
2016	A*	`conf`	Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. ICDM Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie
2015	B	`conf`	A Situation-Aware and Interactive System for Assisting People Fill out Paper Forms. COMPSAC Jiangtao Wang, Yasha Wang, Yafei Wang, Junfeng Zhao
2015	J	`jnl`	Data-Driven Composition for Service-Oriented Situational Web Applications. IEEE Trans. Serv. Comput. Xuanzhe Liu, Yun Ma, Gang Huang, Junfeng Zhao, Hong Mei, Yunxin Liu
2015	B	`conf`	Helping Campaign Initiators Create Mobile Crowd Sensing Apps: A Supporting Framework. COMPSAC Jiangtao Wang, Yasha Wang, Junfeng Zhao
2015	—	`conf`	Toward domain knowledge model for smart city: The core conceptual model. ISC2 Junfeng Zhao, Yasha Wang
2014	—	`conf`	A graph database based crowdsourcing infrastructure for modelling and searching code structure. Internetware Zeqi Lin, Junfeng Zhao, Bing Xie
2013	B	`conf`	Mining Cohesive Domain Topics from Source Code. ICSR Bing Xie, Meng Li, Jing Jin, Junfeng Zhao, Yanzhen Zou
2013	C	`conf`	STERS: A System for Service Trustworthiness Evaluation and Recommendation based on the Trust Network (S). SEKE Yasha Wang, Jiangtao Wang, Yuxing Teng, Junfeng Zhao
2012	A	`conf`	ARIMA Model-Based Web Services Trustworthiness Evaluation and Prediction. ICSOC Meng Li, Zhebang Hua, Junfeng Zhao, Yanzhen Zou, Bing Xie
2012	—	`conf`	Internet-Based Evaluation and Prediction of Web Services Trustworthiness. COMPSAC Workshops Meng Li, Zhebang Hua, Junfeng Zhao, Yanzhen Zou, Bing Xie
2012	B	`conf`	Propositional Logic-Based and Evidence-Rich Trustworthiness Evaluation for Web Services. SERVICES Meng Li, Jing Jin, Junfeng Zhao, Bing Xie
2012	A	`conf`	Towards Automatic Tagging for Web Services. ICWS Lu Fang, Lijie Wang, Meng Li, Junfeng Zhao, Yanzhen Zou, Lingshuang Shao
2011	A	`conf`	CoWS: An Internet-Enriched and Quality-Aware Web Services Search Engine. ICWS Meng Li, Junfeng Zhao, Lijie Wang, Sibo Cai, Bing Xie
2010	—	`conf`	A Flexible Multi-Source Web Service's QoS Acquisition Framework and Implementation. UIC/ATC Workshops Junfeng Zhao, Lingshuang Shao, Zhiwen Cheng, Bing Xie
2010	C	`conf`	TSRR: A Software Resource Repository for Trustworthiness Resource Management and Reuse. SEKE Junfeng Zhao, Bing Xie, Yasha Wang, Yongjun Xu
2009	C	`conf`	User Perceived Response-time Optimization Method for Composite Web Services. SEKE Junfeng Zhao, Yasha Wang, Bing Xie
2009	A	`conf`	User-Perceived Service Availability: A Metric and an Estimation Approach. ICWS Lingshuang Shao, Junfeng Zhao, Tao Xie, Lu Zhang, Bing Xie, Hong Mei
2008	A	`conf`	Dynamic Availability Estimation for Service Selection Based on Status Identification. ICWS Lingshuang Shao, Lu Zhang, Tao Xie, Junfeng Zhao, Bing Xie, Hong Mei
2008	—	`conf`	Towards a User-perceived Service Availability Metric. IEEE SCC (2) Lingshuang Shao, Lu Zhang, Junfeng Zhao, Bing Xie, Hong Mei
2007	A	`conf`	Personalized QoS Prediction forWeb Services via Collaborative Filtering. ICWS Lingshuang Shao, Jing Zhang, Yong Wei, Junfeng Zhao, Bing Xie, Hong Mei
2007	A	`conf`	Using Scenario Oriented Response-time Management for Composite Web Services. ICWS Ya-Sha Wang, Junfeng Zhao, Ge Li
2004	C	`conf`	Towards an Optimization-Based Method for Consolidating Domain Variabilities in Domain-Specific Web Services Composition. ICTAC Junfeng Zhao, Lu Zhang, Yasha Wang, Ying Jiang, Bing Xie