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Table of Contents

Seminars

2019

9-25

  • “智能软件工程”学术报告会顺利召开 [Slides]

2016

11-29

  • Zhangyuan Meng. On the Feasibility of Internet-Scale Author Identification. [Slides]
  • Kai Chen. Linking Stack Overflow to Issue Tracker for Issue Resolution. [Slides]
  • Xiang Dong. Mining Location-Based Social Networks: A Predictive Perspective. [Slides]
  • Weizhi Huang. GitHub Projects. Quality Analysis of Open-Source Software. [Slides]

11-15

  • Qing He. Experience Sharing. [Slides]
  • Weizhi Huang. Finding Expert Users in Community Question Answering. [Slides]
  • Ning Li. Word2Vector. [Slides]
  • Shensi Tong. Heterogeneous cross-company effort estimation through transfer learning. [Slides]

11-9

  • Xiang Dong. Extract Reliable Relations from Wikipedia Texts for Practical Ontology Construction. [Slides]
  • Kai Chen. Learning Semantic Hierarchies via Word Embeddings. [Slides]

10-25

  • Kai Chen. Google`s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. [Slides]
  • Zhangyuan Meng. HYDRA:Large-scale Social Identity Linkage via Heterogeneous Behavior Modeling. [Slides]

10-11

  • Xiang Dong. The research of NLP in Deep Learning. [Slides]
  • Weizhi Huang. Predicting Best Answerers for New Questions: An Approach Leveraging Topic Modeling and Collaborative Voting. [Slides]

5-23

  • Xuyang Cai. Keyword Query Expansion on Linked Data Using Linguistic and Semantic Features. [Slides]
  • Xiaoning Liu. StackOverflow and GitHub: Associations Between Software Development and Crowd-sourced Knowledge. [Slides]
  • Weizhi Huang. Determining Developers’ Expertise and Role: A Graph Hierarchy-based Approach. [Slides]
  • Kai Chen. Large-Scale Deep Learning for Intelligent Computer Systems. [Slides]

5-16

  • Wenkai Mo. Multimodal Embeddings. [Slides]
  • Zhenzheng Qian. Data Mining With WEKA. [Slides]
  • Shensi Tong. Detecting Gambling Sites From Post Behaviors. [Slides]
  • Xiang Dong. Automatic mapping of user tags to Wikipedia concepts: The case of a Q&A website – StackOverflow. [Slides]

5-9

  • Qing He. Boosted Tree. [Slides]
  • Xuyang Cai. Matching Dependence-Related Queries in the System Dependence Graph. [Slides]
  • Wenkai Mo. Issue Cold Start Problem in Recommender System. [Slides]
  • Kai Chen. Identity Linkage. [Slides]

4-25

  • Xiaoning Liu. Recommendation System for DesignPatterns in Software Development An DPR Overview.[Slides]
  • Cheng Zhang. It Takes Two to Tango anExploration of Domain Pairs for Cross-Domain Collaborative Filtering.[Slides]
  • Shensi Tong. On the Value of Ensemble Effort Estimation.[Slides]
  • Zhenzheng Qian. Semantic Annotation of Micro-blog Topics Using Wikipedia Temporal Information.[Slides]

4-18

  • Yu Yang. Active Transfer Learning For Cross-System Recommendation.[Slides]
  • Ning Li. Methods of Extracting Key Words. [Slides]
  • Weizhi Huang. Discovering High Quality Answer. [Slides]
  • Xiang Dong. PIDGIN. [Slides]

4-11

  • Xuyang Cai. AutoQuery-Automatic Construction of Dependency Queries for Code Search. [Slides]
  • Qing He. Mislabelling Data Impact on Defect Prediction. [Slides]
  • Kai Chen. Mastering the Game of Go with Deep Neural Networks and Tree Search. [Slides]

3-28

  • Wenkai Mo. Recommender System. [Slides]

3-21

  • Xiaoning Liu. Linking Issue Tracker with Q&A Sites for Knowledge Sharing across Communities. [Slides]
  • Weizhi Huang. CQARank:Jointly Model Topics and Expertise in Community Question Answering. [Slides]
  • Yutao Huang. GitHub Projects: Quality Analysis of Open-Source Software. [Slides]

3-14

  • Xiang Dong. Deriving a Large Scale Taxonomy from Wikipedia. [Slides]
  • Ning Li. Eficient Methods for Incorporating Knowledge into Topic Models. [Slides]
  • Zhenzheng Qian. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. [Slides]

3-7

  • Yu Yang. Addressing Cold-Start in App Recommendation - Latent User Models Constructed from Twitter Followers. [Slides]
  • Haibo Jiang. 基于内容和协同过滤的混合推荐. [Slides]
  • Zihui Yuan. Learning to Rank. [Slides]

2-29

  • Cheng Zhang. A Survey of Existing Approaches for Pattern Search and Selection. [Slides]
  • Shensi Tong. Transfer learning in effort estimation. [Slides]
  • Yang Zhou. SEES: A Unified Method for Semi-Automatic Early Effort Estimation. [Slides]

2015

9-23

  • Qing He. Defect Prediction Techniques. [Slides]
  • Wenkai Mo. Dimension Reduction. [Slides]
  • Cheng Zhang. Survey and Recent Research. [Slides]

10-8

  • Xuyang Cai. A Graph-Based Tag Assignment Approach for Github Repository. [Slides]
  • Zhenzheng Qian. Assessment Models for Open Source Software. [Slides]

10-15

  • Kai Chen. Set Expansion. [Slides]
  • Xiaoning Liu. Introduction to Recommender Systems. [Slides]
  • Shensi Tong. 赌博网站用户行为分析. [Slides]

10-21

  • Weizhi Huang. Learning to Log. Slides
  • Ning Li. TopicRank. [Slides]
  • Yu Yang. Where Does This Code Come from and Where Does It Go? [Slides]

11-4

  • Xuyang Cai. A Probabilistic Modeling of Hashtag Annotation in Twitter. [Slides]
  • Zhenzheng Qian. Analysis software quality through user reviews. [Slides]
  • Cheng Zhang. Expert Team Formation. [Slides]

11-12

  • Xiaoning Liu. Online Controlled Experiments: Lessons from Running A/B/n Tests for 12 years. [Slides]
  • Shensi Tong. Understanding User Behavior in Online Social Networks: A Survey. [Slides]
  • Kai Chen. Learning Semantic Hierarchies via Word Embeddings. [Slides]

11-18

  • Weizhi Huang. Connecting Users across Social Media Sites A Behavioral-Modeling Approach. [Slides]
  • Ning Li. Cover Coefficient based Multi-document Summarization. [Slides]
  • Yu Yang. Pick-A-Crowd Tell me what you like and i will tell you what to do. [Slides]

11-25

  • Wenkai Mo. Deep NLP. [Slides]
  • Xiang Dong. TextRunner. [Slides]
  • Cheng Zhang. Weaving Process Patterns into Software Process Models. [Slides]

12-10

  • Ning Li. MULTI-LABEL TEXT CATEGORIZATION WITH JOINT LEARNING PREDICTIONS-AS-FEATURES METHOD. [Slides]
  • Xiaoning Liu. PushTrust: An Efficient Recommendation Algorithm by Leveraging Trust and Distrust Relations. [Slides]
  • Shensi Tong. Effort estimation in agile software development A systematic literature review. [Slides]

12-17

  • Xuyang Cai. A Review of Automatically Constructing A Tagging System. [Slides]
  • Weizhi Huang. EnTagRec: An Enhanced Tag Recommendation System for Software Information Sites. [Slides]
  • Kai Chen. 深度学习之word2vec. [Slides]

12-24

  • Xiang Dong. Deriving a Large Scale Taxonomy from Wikipedia. [Slides]
  • Yang Zhou. Semantic Analysis and Effort Estimation based on Software Requirement. [Slides]
  • Yu Yang. Task recommendation in crowdsourcing system. [Slides]
seminars.txt · Last modified: 2024/04/08 17:59 by 127.0.0.1