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Yanzhen Zou
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2020 – today
- 2024
- [c40]Yue Wang
, Wenhui Chang
, Yanzhen Zou
, Bing Xie
:
An Exploratory Study on God Header Files in Open-Source C Projects. Internetware 2024 - [c39]Xinglu Pan
, Chenxiao Liu
, Yanzhen Zou
, Tao Xie
, Bing Xie
:
MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation. ICPC 2024: 74-86 - [i4]Xinglu Pan, Chenxiao Liu, Yanzhen Zou, Tao Xie, Bing Xie:
MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation. CoRR abs/2403.17357 (2024) - [i3]Yue Wang, Wenhui Chang, Yanzhen Zou, Tongwei Deng, Bing Xie:
Decomposing God Header File via Multi-View Graph Clustering. CoRR abs/2406.16487 (2024) - 2021
- [j8]Yingkui Cao, Zeyu Sun, Yanzhen Zou, Bing Xie:
Structurally-Enhanced Approach for Automatic Code Transformation. Int. J. Softw. Informatics 11(3): 357-378 (2021) - [j7]Hui Liu
, Jiahao Jin, Zhifeng Xu, Yanzhen Zou, Yifan Bu, Lu Zhang
:
Deep Learning Based Code Smell Detection. IEEE Trans. Software Eng. 47(9): 1811-1837 (2021) - [c38]Qi Shen, Shijun Wu, Yanzhen Zou, Bing Xie:
Comprehensive Integration of API Usage Patterns. ICPC 2021: 83-93 - [c37]Chunyang Ling, Yanzhen Zou, Bing Xie:
Graph Neural Network Based Collaborative Filtering for API Usage Recommendation. SANER 2021: 36-47 - [i2]Qi Shen, Shijun Wu, Yanzhen Zou, Bing Xie:
Comprehensive Integration of API Usage Patterns. CoRR abs/2103.11683 (2021) - 2020
- [j6]Qi Shen, Shijun Wu, Yanzhen Zou, Zixiao Zhu, Bing Xie:
From API to NLI: A new interface for library reuse. J. Syst. Softw. 169: 110728 (2020) - [c36]Chunyang Ling, Zeqi Lin, Yanzhen Zou, Bing Xie:
Adaptive Deep Code Search. ICPC 2020: 48-59 - [i1]Qi Shen, Shijun Wu, Yanzhen Zou, Zixiao Zhu, Bing Xie:
From API to NLI: A New Interface for Library Reuse. CoRR abs/2007.03305 (2020)
2010 – 2019
- 2019
- [j5]Chunyang Ling, Yanzhen Zou, Zeqi Lin, Bing Xie:
Graph Embedding Based API Graph Search and Recommendation. J. Comput. Sci. Technol. 34(5): 993-1006 (2019) - [c35]Min Wang, Yanzhen Zou, Yingkui Cao, Bing Xie:
Searching Software Knowledge Graph with Question. ICSR 2019: 115-131 - [c34]Qi Shen, Bing Xie, Yanzhen Zou, Zixiao Zhu, Shijun Wu:
NLI2Code: Reusing Libraries with Natural Language Interface. ICSR 2019: 168-184 - [c33]Yingkui Cao, Yanzhen Zou, Bing Xie:
Extracting Code-relevant Description Sentences Based on Structural Similarity. Internetware 2019: 9:1-9:10 - [c32]Min Wang, Zeqi Lin, Yanzhen Zou, Bing Xie:
CoRA: Decomposing and Describing Tangled Code Changes for Reviewer. ASE 2019: 1050-1061 - 2018
- [j4]Yingkui Cao, Yanzhen Zou, Yuxiang Luo, Bing Xie, Junfeng Zhao:
Toward accurate link between code and software documentation. Sci. China Inf. Sci. 61(5): 050105:1-050105:15 (2018) - [c31]Yanzhen Zou, Chunyang Ling, Zeqi Lin, Bing Xie:
Graph Embedding based Code Search in Software Project. Internetware 2018: 1:1-1:10 - [c30]Yanzhen Zou, Yingkui Cao, Bing Xie:
An Exploratory Study on Codes in Heterogeneous Software Documents. Internetware 2018: 14:1-14:6 - [c29]Hui Liu, Zhifeng Xu, Yanzhen Zou:
Deep learning based feature envy detection. ASE 2018: 385-396 - 2017
- [j3]Zeqi Lin, Bing Xie, Yanzhen Zou, Junfeng Zhao, Xuandong Li, Jun Wei, Hailong Sun, Gang Yin:
Intelligent Development Environment and Software Knowledge Graph. J. Comput. Sci. Technol. 32(2): 242-249 (2017) - [c28]Yingkui Cao, Yanzhen Zou, Yuxiang Luo, Bing Xie, Junfeng Zhao:
Refining Traceability Links between Code and Software Documents. Internetware 2017: 4:1-4:10 - [c27]Zeqi Lin, Junfeng Zhao, Yanzhen Zou, Bing Xie:
Document Distance Estimation via Code Graph Embedding. Internetware 2017: 11:1-11:10 - [c26]Zixiao Zhu, Chenyan Hua, Yanzhen Zou, Bing Xie, Junfeng Zhao:
Automatically Generating Task-Oriented API Learning Guide. Internetware 2017: 12:1-12:10 - [c25]Zeqi Lin, Yanzhen Zou, Junfeng Zhao, Bing Xie:
Improving software text retrieval using conceptual knowledge in source code. ASE 2017: 123-134 - [c24]Wenpeng Li, Yingkui Cao, Junfeng Zhao, Yanzhen Zou, Bing Xie:
Toward Summary Extraction Method for Functional Topic. QRS Companion 2017: 16-23 - 2016
- [c23]Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie:
Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. ICDM 2016: 659-668 - 2015
- [j2]Yuxiang Luo, Yanzhen Zou, Yong Jin, Bing Xie:
一种基于邮件列表的软件问答信息抽取方法 (Mailing List Based QA Information Extraction Approach). 计算机科学 42(12): 23-25 (2015) - [c22]Yanzhen Zou, Ting Ye, Yangyang Lu, John Mylopoulos, Lu Zhang:
Learning to Rank for Question-Oriented Software Text Retrieval (T). ASE 2015: 1-11 - [c21]Ming Zhang, Jile Zhu, Yanzhen Zou, Hongfei Yan, Dan Hao
, Chuxiong Liu:
Educational Evaluation in the PKU SPOC Course "Data Structures and Algorithms". L@S 2015: 237-240 - 2014
- [c20]Zixiao Zhu, Yanzhen Zou, Bing Xie, Yong Jin, Zeqi Lin, Lu Zhang:
Mining API Usage Examples from Test Code. ICSME 2014: 301-310 - [c19]Ting Ye, Bing Xie, Yanzhen Zou, Xiuzhao Chen:
Interrogative-guided re-ranking for question-oriented software text retrieval. ASE 2014: 115-120 - [c18]Lingxiao Zhang, Yanzhen Zou, Bing Xie, Zixiao Zhu:
Recommending relevant projects via user behaviour: an exploratory study on github. CrowdSoft@SIGSOFT FSE 2014: 25-30 - 2013
- [c17]Yanzhen Zou, Changsheng Liu, Yong Jin, Bing Xie:
Assessing Software Quality through Web Comment Search and Analysis. ICSR 2013: 208-223 - [c16]Bing Xie, Meng Li, Jing Jin, Junfeng Zhao, Yanzhen Zou:
Mining Cohesive Domain Topics from Source Code. ICSR 2013: 239-254 - [c15]Lingxiao Zhang, Yanzhen Zou, Bing Xie:
A scalable crawler framework for FLOSS data. Internetware 2013: 8:1-8:7 - [c14]Zixiao Zhu, Yanzhen Zou, Yong Jin, Bing Xie:
Generating API-usage example for project developers. Internetware 2013: 34:1-34:4 - 2012
- [c13]Lijie Wang, Yanzhen Zou, Lu Fang, Bing Xie, Fuqing Yang:
An Exploratory Study of API Usage Examples on the Web. APSEC 2012: 396-405 - [c12]Meng Li, Zhebang Hua, Junfeng Zhao, Yanzhen Zou, Bing Xie:
Internet-Based Evaluation and Prediction of Web Services Trustworthiness. COMPSAC Workshops 2012: 571-576 - [c11]Meng Li, Zhebang Hua, Junfeng Zhao, Yanzhen Zou, Bing Xie:
ARIMA Model-Based Web Services Trustworthiness Evaluation and Prediction. ICSOC 2012: 648-655 - [c10]Lu Fang, Lijie Wang, Meng Li, Junfeng Zhao, Yanzhen Zou, Lingshuang Shao:
Towards Automatic Tagging for Web Services. ICWS 2012: 528-535 - 2011
- [c9]Sibo Cai, Yanzhen Zou, Lijie Wang, Bing Xie, Weizhong Shao:
A Semi-supervised Approach for Component Recommendation Based on Citations. ICSR 2011: 78-86 - [c8]Changsheng Liu, Yanzhen Zou, Sibo Cai, Bing Xie, Hong Mei:
Finding the merits and drawbacks of software resources from comments. ASE 2011: 432-435 - [c7]Sibo Cai, Yanzhen Zou, Lijie Wang, Bing Xie, Weizhong Shao:
Recommending Component by Citation: A Semi-supervised Approach for Determination. SEKE 2011: 489-494 - 2010
- [c6]Yanzhen Zou, Sibo Cai, Meng Li, Lijie Wang, Bing Xie:
A Framework for Trust Enabled Software Asset Retrieval. ATC 2010: 139-153
2000 – 2009
- 2009
- [c5]Sibo Cai, Yanzhen Zou, Bing Xie, Weizhong Shao:
Leveraging Robust Service Evaluation by Introducing the Web of Trust. IEEE CLOUD 2009: 190-197 - 2008
- [j1]Yanzhen Zou, Lu Zhang, Yan Li, Bing Xie, Han Mei:
Result Refinement in Web Services Retrieval Based on Multiple Instances Learning. Int. J. Web Serv. Res. 5(2): 77-93 (2008) - [c4]Sibo Cai, Yanzhen Zou, Bing Xie, Weizhong Shao:
Mining the Web of Trust for Web Services Selection. ICWS 2008: 809-810 - [c3]Liang Gu, Xuhua Ding
, Robert H. Deng
, Yanzhen Zou, Bing Xie, Weizhong Shao, Hong Mei:
Model-Driven Remote Attestation: Attesting Remote System from Behavioral Aspect. ICYCS 2008: 2347-2353 - 2007
- [c2]Yanzhen Zou, Liang Gu, Ge Li, Bing Xie, Hong Mei:
Rectifying Prejudicial Feedback Ratings in Reputation based Trust Management. IEEE SCC 2007: 530-535 - 2006
- [c1]Yanzhen Zou, Liang-Jie Zhang, Lu Zhang, Bing Xie, Hong Mei:
User Feedback-Based Refinement for Web Services Retrieval using Multiple Instance Learning. ICWS 2006: 471-478
Coauthor Index
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last updated on 2024-08-03 21:10 CEST by the dblp team
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