NLPCC 2015 Tutorials / ADL 59 Program

October 8, 2015: Registration
14:30–17:30	Registration	Foyer of International Center of Jiangxi Normal University, White Deer House（江西师范大学白鹿会馆一楼）
October 9-11, 2015
09:00–17:00	Tutorials	Lecture Hall, the second floor of International Center of Jiangxi Normal University, White Deer House（江西师范大学白鹿会馆二楼大会议室）
October 9, 2015
08:00–12:00	Registration	Foyer of International Center of Jiangxi Normal University, White Deer House（江西师范大学白鹿会馆一楼）
08:30-09:00	Opening Ceremony & Group Photo
Morning	Lecture 1: Search and Discovery for Big Data By Xueqi Cheng, Institute of Computing Technology, Chinese Academy of Sciences Slides
09:00-09:50	T1-1	Lesson 1: Top-k learning-to-rank and short-text topic modeling
09:50-10:10	Break
10:10-11:00	T1-2	Lesson 2: Multi-context recommendation and social network analysis
11:00-11:20	Break
11:20-12:00	T1-3	Lesson 3: Scalable influence maximization, popularity prediction and collective behavior analysis
12:00-14:00	Lunch and Break
Afternoon	Lecture 2: Key Technologies behind a Live Social Observatory System By Tat-Seng Chua, National University of Singapore Slides
14:00-14:50	T2-1	Lesson 1: Live social observatory system developed at NExT
14:50-15:10	Break
15:10-16:00	T2-2	Lesson 2: Key research efforts to tackle the challenges in social media analysis
16:00-16:20	Break
16:20-17:00	T2-3	Lesson 3: Summarization and QA
October 10, 2015
Morning	Lecture 3: Construction and Mining of Text-Rich Heterogeneous Information Networks By Jiawei Han, University of Illinois at Urbana-Champaign Slides
09:00-09:50	T3-1	Lesson 1: Phrase mining and concept discovery from massive text data
09:50-10:10	Break
10:10-11:00	T3-2	Lesson 2: Entity recognition and typing for construction of text-rich heterogeneous information networks
11:00-11:20	Break
11:20-12:00	T3-3	Lesson 3: Mining text-rich heterogeneous information networks
12:00-14:00	Lunch and Break
Afternoon	Lecture 4: Big Data Intensive Computation: concepts, Research Issues and some Solutions By Jianzhong Li, Harbin Institute of Technology
14:00-14:50	T4-1	Lesson 1: Big Data Intensive Computation: concepts
14:50-15:10	Break
15:10-16:00	T4-2	Lesson 2: Big Data Intensive Computation: research Issues
16:00-16:20	Break
16:20-17:00	T4-3	Lesson 3: Some Solutions from Harbin Institute of Technology
October 11, 2015
Morning	Lecture 5: Learning to Process Natural Language in Big Data Environment By Hang Li, Noah’s Ark Lab, Huawei Technologies
09:00-09:50	T5-1	Lesson 1: Deep Learning for Natural Language Processing: Essentials Slides
09:50-10:10	Break
10:10-11:00	T5-2	Lesson 2: Deep Learning for Natural Language Processing: Applications Slides
11:00-11:20	Break
11:20-12:00	T5-3	Lesson 3: Summarization and QA Slides
12:00-14:00	Lunch and Break
Afternoon	Lecture 6: Deep Learning for Chinese Information Processing By Chao Liu, Chief Scientist and the General Manager of the Data Science Department, Sogou Slides
14:00-14:50	T6-1	Lesson 1: Basic embedding techniques
14:50-15:10	Break
15:10-16:00	T6-2	Lesson 2: Feed-forward and recurrent neural networks for NLP applications
16:00-16:20	Break
16:20-17:00	T6-3	Lesson 3: Self-built computing platform
17:00-17:20	Closing Ceremony

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