Table of Contents
Seminars
2019
9-25
2016
11-29
11-15
11-9
10-25
10-11
5-23
5-16
5-9
4-25
4-18
4-11
3-28
3-21
3-14
3-7
2-29
2015
9-23
10-8
10-15
10-21
11-4
11-12
11-18
11-25
12-10
12-17
12-24
Seminars
2019
9-25
“智能软件工程”学术报告会顺利召开 [
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2016
11-29
Zhangyuan Meng. On the Feasibility of Internet-Scale Author Identification. [
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Kai Chen. Linking Stack Overflow to Issue Tracker for Issue Resolution. [
Slides
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Xiang Dong. Mining Location-Based Social Networks: A Predictive Perspective. [
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Weizhi Huang. GitHub Projects. Quality Analysis of Open-Source Software. [
Slides
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11-15
Qing He. Experience Sharing. [
Slides
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Weizhi Huang. Finding Expert Users in Community Question Answering. [
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Ning Li. Word2Vector. [
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Shensi Tong. Heterogeneous cross-company effort estimation through transfer learning. [
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11-9
Xiang Dong. Extract Reliable Relations from Wikipedia Texts for Practical Ontology Construction. [
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Kai Chen. Learning Semantic Hierarchies via Word Embeddings. [
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10-25
Kai Chen. Google`s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. [
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Zhangyuan Meng. HYDRA:Large-scale Social Identity Linkage via Heterogeneous Behavior Modeling. [
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10-11
Xiang Dong. The research of NLP in Deep Learning. [
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Weizhi Huang. Predicting Best Answerers for New Questions: An Approach Leveraging Topic Modeling and Collaborative Voting. [
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5-23
Xuyang Cai. Keyword Query Expansion on Linked Data Using Linguistic and Semantic Features. [
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Xiaoning Liu. StackOverflow and GitHub: Associations Between Software Development and Crowd-sourced Knowledge. [
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Weizhi Huang. Determining Developers’ Expertise and Role: A Graph Hierarchy-based Approach. [
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Kai Chen. Large-Scale Deep Learning for Intelligent Computer Systems. [
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5-16
Wenkai Mo. Multimodal Embeddings. [
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Zhenzheng Qian. Data Mining With WEKA. [
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Shensi Tong. Detecting Gambling Sites From Post Behaviors. [
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Xiang Dong. Automatic mapping of user tags to Wikipedia concepts: The case of a Q&A website – StackOverflow. [
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5-9
Qing He. Boosted Tree. [
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Xuyang Cai. Matching Dependence-Related Queries in the System Dependence Graph. [
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Wenkai Mo. Issue Cold Start Problem in Recommender System. [
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Kai Chen. Identity Linkage. [
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4-25
Xiaoning Liu. Recommendation System for DesignPatterns in Software Development An DPR Overview.[
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Cheng Zhang. It Takes Two to Tango anExploration of Domain Pairs for Cross-Domain Collaborative Filtering.[
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Shensi Tong. On the Value of Ensemble Effort Estimation.[
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Zhenzheng Qian. Semantic Annotation of Micro-blog Topics Using Wikipedia Temporal Information.[
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4-18
Yu Yang. Active Transfer Learning For Cross-System Recommendation.[
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Ning Li. Methods of Extracting Key Words. [
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Weizhi Huang. Discovering High Quality Answer. [
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Xiang Dong. PIDGIN. [
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4-11
Xuyang Cai. AutoQuery-Automatic Construction of Dependency Queries for Code Search. [
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Qing He. Mislabelling Data Impact on Defect Prediction. [
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Kai Chen. Mastering the Game of Go with Deep Neural Networks and Tree Search. [
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3-28
Wenkai Mo. Recommender System. [
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3-21
Xiaoning Liu. Linking Issue Tracker with Q&A Sites for Knowledge Sharing across Communities. [
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Weizhi Huang. CQARank:Jointly Model Topics and Expertise in Community Question Answering. [
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Yutao Huang. GitHub Projects: Quality Analysis of Open-Source Software. [
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3-14
Xiang Dong. Deriving a Large Scale Taxonomy from Wikipedia. [
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Ning Li. Eficient Methods for Incorporating Knowledge into Topic Models. [
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Zhenzheng Qian. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. [
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3-7
Yu Yang. Addressing Cold-Start in App Recommendation - Latent User Models Constructed from Twitter Followers. [
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Haibo Jiang. 基于内容和协同过滤的混合推荐. [
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Zihui Yuan. Learning to Rank. [
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2-29
Cheng Zhang. A Survey of Existing Approaches for Pattern Search and Selection. [
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Shensi Tong. Transfer learning in effort estimation. [
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Yang Zhou. SEES: A Unified Method for Semi-Automatic Early Effort Estimation. [
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2015
9-23
Qing He. Defect Prediction Techniques. [
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Wenkai Mo. Dimension Reduction. [
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Cheng Zhang. Survey and Recent Research. [
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]
10-8
Xuyang Cai. A Graph-Based Tag Assignment Approach for Github Repository. [
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Zhenzheng Qian. Assessment Models for Open Source Software. [
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]
10-15
Kai Chen. Set Expansion. [
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Xiaoning Liu. Introduction to Recommender Systems. [
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Shensi Tong. 赌博网站用户行为分析. [
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10-21
Weizhi Huang. Learning to Log.
Slides
Ning Li. TopicRank. [
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Yu Yang. Where Does This Code Come from and Where Does It Go? [
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11-4
Xuyang Cai. A Probabilistic Modeling of Hashtag Annotation in Twitter. [
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Zhenzheng Qian. Analysis software quality through user reviews. [
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Cheng Zhang. Expert Team Formation. [
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11-12
Xiaoning Liu. Online Controlled Experiments:Lessons from Running A/B/n Tests for 12 years. [
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Shensi Tong. Understanding User Behavior inOnline Social Networks: A Survey. [
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Kai Chen. Learning Semantic Hierarchies via Word Embeddings. [
Slides
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11-18
Weizhi Huang. Connecting Users across Social Media Sites A Behavioral-Modeling Approach. [
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Ning Li. Cover Coefficient based Multi-document Summarization. [
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Yu Yang. Pick-A-Crowd Tell me what you like and i will tell you what to do. [
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]
11-25
Wenkai Mo. Deep NLP. [
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Xiang Dong. TextRunner. [
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Cheng Zhang. Weaving Process Patterns into Software Process Models. [
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]
12-10
Ning Li. MULTI-LABEL TEXT CATEGORIZATION WITH JOINT LEARNING PREDICTIONS-AS-FEATURES METHOD. [
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Xiaoning Liu. PushTrust: An Efficient Recommendation Algorithm by Leveraging Trust and Distrust Relations. [
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Shensi Tong. Effort estimation in agile software development A systematic literature review. [
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12-17
Xuyang Cai. A Review of Automatically Constructing A Tagging System. [
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Weizhi Huang. EnTagRec: An Enhanced Tag Recommendation System for Software Information Sites. [
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Kai Chen. 深度学习之word2vec. [
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12-24
Xiang Dong. Deriving a Large Scale Taxonomy from Wikipedia. [
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Yang Zhou. Semantic Analysis and Effort Estimation based on Software Requirement. [
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Yu Yang. Task recommendation in crowdsourcing system. [
Slides
]