中国计算机学会青年计算机科技论坛

CCF Young Computer Scientists & Engineers Forum

CCF YOCSEF武汉

“AI+赋能下的创新浪潮”技术论坛

（CCF-19-YOCSEF武汉-1FT）

活动时间：2019年11月2日（星期六）14:00-18:00

活动地点：武汉理工大学鉴湖校区鉴主楼12楼1277会议室

引导发言嘉宾简介

Dr Guandong Xu is a Professor at School of Computer Science, University of Technology Sydney and CUHK visiting Professor, specialising in Data Science, Data Analytics, Recommender Systems, Web Mining, Text mining and NLP, Social Network Analysis, and Social Media Mining. He has published three monographs, dozens of book chapters and edited conference proceedings, and 200+ journal and conference papers in decent journals and conferences. He leads Data Science and Machine Intelligence Lab at UTS. He is the assistant Editor-in-Chief of World Wide Web Journal and has been serving in editorial board or as guest editors for several international journals. He has received a number of Awards from academia and industry community, such as 2018 Top-10 Australian Analytics Leader Award.

题目: Embedding learning in intelligent code analysis

摘要: Embedding learning is a widely used machine learning algorithm and has been successfully applied in various data sources, e.g. matrices, sequences, and graphs, and various application tasks, e.g. NLP, code analysis, and recommendations. The major advantage of embedding learning is to derive concise but latent representative from original data observations. In this talk, we will introduce our recent research work on code summarization and code search via embedding learning.

李鑫，男，于中国科技大学获计算机科学博士学位，悉尼科技大学访问学者。现任科大讯飞研究院研究主管，中国科技大学语音及语言信息处理国家工程实验室博士后研究员，大数据分析与应用安徽省重点实验室研究员，中国互联网协会青年专家。在讯飞负责脑科学技术在教育、医疗等领域的应用研究。先后参与多个国家863、国家重点研发计划、自然科学基金、国家青年基金项目，并在国际顶级学术会议与知名期刊发表论文近30篇。

题目：人工智能技术在语言评测中的应用

摘要：语言是人类特有的社会现象，是声音、文字和意义结合的重要符号系统。语音处理技术、图像处理技术以及自然语言理解技术等人工智能技术的发展，对于声音、文字和意义的自动化分析和处理提供了重要的工具，为人们探究语言中提供了广泛蕴含特征，这使得对语言进行机器智能和自动化地评测和评估成为了可能，并且在众多场景中已经有实际应用，如普通话测试、英语口语考试、作文批改等。

Dr. Xiaohui Tao is Associate Professor in School of Sciences, University of Southern Queensland (USQ), Australia. His research interests include text mining, information retrieval, natural language processing, semantic web, and healthcare. During his research career, Tao has gained a wealth of knowledge and experience in dealing with massive datasets and delivering solutions to complex research problems. Many contributions have been made to Ontology Learning, Web Intelligence, Data Mining, and Information Retrieval. The research results have been published in many highly ranked journals (e.g., IEEE TKDE, KBS, and PRL) and conferences (e.g., ICDE, PAKDD, CIKM, KSEM, and WISE), marking a total 90+ refereed publications. Tao is the current Managing Editor of IEEE Intelligent Informatics Bulletin. He has served as PC Co-Chair in WI and BESC conferences and a Guest Editor in WWWJ, IJMLC and many others.

题目: Knowlege-based Personalized Services

摘要: The recent breakthroughts in Bid Data and Artificial Intelligence have presented opportunities as well as great challenges to organisations who tend to deliver superior services to communities. Industries like healthcare are transforming from experience-basis to evidence-basis with personalisation. We urge knowledge bases like knowledge graph and ontology play an important role in such transformation. This talk will present our recent works on an knowledge-based model for user profiling and personalised services in information gathering and healthcare. 

会场位置

会场位置（鉴湖校区南1门）