Derek Hao Hu

Position	Teaching Assistant Coordinator (TAC) Coordinator (PG Coach) of HKUST acm/icpc Programming Team
E-mail	derekhh@cse.ust.hk
Office	4211 (Lift 19)
Address	Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong

I am currently a 3^rd year PhD Candidate at the Department of Computer Science and Engineering, HKUST. My supervisor is Prof. Qiang Yang. Before I come here, I got my B.Sc. Degree in the Department of Computer Science and Technology at Nanjing University in June 2007. During my undergraduate studies, I was a member of the LAMDA Group under the supervision of Prof. Zhi-Hua Zhou.

Generally speaking, I'm doing research in machine learning and data mining. My current research interests can be found in the research interest section below.

I became interested in algorithmic programming contests during my undergraduate studies and participated in many programming contests like acm/icpc, TopCoder, etc. From this year onwards, I'll become the PG coordinator of HKUST acm/icpc programming contest team.

Personal Related Pages

Date of Birth: Feb 12, 1987 (Trivia: What happened on Feb 12 in history? [wiki])
Nationality: China
Languages: Mandarin(native), English(fluent)
My Curriculum Vitae [pdf]
My Academic Genealogy Tree [url]
My Blog (in Chinese) [Blogspot]

Research Related Pages

My DBLP Entry. [url]
CS Conference Deadlines. [url]
Activity Recognition: Datasets, bibliography and others [url]
Please help improve the Wikipedia page of Activity Recognition if you are interested. [url]

Education and Work Experience

2007.9 - Present: PhD Candidate, Department of Computer Science and Engineering, HKUST, Supervisor: Prof. Qiang Yang
2008.7 - 2009.2: Intern, Machine Learning Group, Microsoft Research Asia, Supervisor: Dr. Jian-Tao Sun
2006.9 - 2007.6: LAMDA Group, Department of Computer Science and Technology, Nanjing University, Supervisor: Prof. Zhi-Hua Zhou
2003.9 - 2007.6: B.Sc., Department of Computer Science and Technology, Nanjing University

Research Interests

Machine Learning: Probabilistic Graphical Models, Conditional Random Field, Hierarchical Dirichlet Process
This is the MOST RECENT topic I've been interested in. However, I appear to be a complete novice right now in this topic. So I would rather say nothing. :)

Machine Learning Applications: Sensor-Based Activity Recognition
Sensor-based activity recognition aims to detect what the agent does by providing a series of different kinds of sensor readings over a series of time slices. My major interest in this topic is to exploit the unique feature sensor-based human activity recognition has, and provide specific and appropriate machine learning tools to help solve them.

Web Mining: Understanding the "Activities" of Web users in the Virtual World
My primary research interest in Web mining lies in understanding the human activities based on their Internet usage. More specifically, I'm doing some research on understanding Web query intentions, which can be short, ambiguous and thus making them difficult to analyze the underlying intentions behind.

Automated Planning: Action Model Learning
In action model learning, we propose to learn the applicability conditions of each action automatically by providing a series of plan sequences as input. Such plan sequences may have partial observability. We are now planning to propose action model learning in some complex domains such as HTN.

Bioinformatics: Protein Subcellular Localization Prediction
We propose to understand the protein subcellular localization problem from different learning perspective, e.g. semi-supervised learning or other new learning frameworks to better utilize the knowledge we have.

Journal Publications

Evan Wei Xiang, Bin Cao, Derek Hao Hu, Qiang Yang.
Bridging Domains Using World Wide Knowledge.
To appear in TKDE.

Qian Xu, Derek Hao Hu, Hong Xue, Weichuan Yu and Qiang Yang.
Semi-supervised Protein Subcellular Localization. [paper]
In BMC Bioinformatics, Volume 10 (Suppl 1):S47.

Conference Publications

2009

Bin Cao, Jian-Tao Sun, Evan Wei Xiang, Derek Hao Hu, Qiang Yang, Zheng Chen.
PQC: Personalized Query Classification. [paper]
In Proceedings of the Eighteenth ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, Pages 1217-1225.
(Oral Presentation, Acceptance Rate = 123 / 847 = 14.5%)

Derek Hao Hu, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen.
Context-Aware Online Commercial Intention Detection. [paper]
In Proceedings of the First Asian Conference on Machine Learning (ACML 2009), Nanjing, China, Pages 134-149.
(Oral Presentation, Acceptance Rate = 27 / 113 = 23.9%)

Vincent Wenchen Zheng, Derek Hao Hu, Qiang Yang.
Cross-Domain Activity Recognition. [paper] [presentation]
In Proceedings of the Eleventh International Conference on Ubiquitous Computing (Ubicomp 2009), Orlando, Florida, USA, Pages 61-70.
(Oral Presentation, Acceptance Rate = 31 / 251 = 12.4%)

Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang.
Context-aware Query Classification. [paper] [presentation]
In Proceedings of the Thirty-Second International International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2009),Boston, Massachusetts, USA, Pages 3-10.
(Oral Presentation, Acceptance Rate = 78 / 494 = 15.8%)

Derek Hao Hu, Xian-Xing Zhang, Jie Yin, Vincent Wenchen Zheng, Qiang Yang.
Abnormal Activity Recognition based on HDP-HMM Models. [paper] [presentation]
In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 2009), Pasadena, California, USA, Pages 1715-1720.
(Oral Presentation, Acceptance Rate = 331 / 1290 = 25.7%)

Jie Yin, Derek Hao Hu, Qiang Yang.
Spatio-temporal Event Detection Using Dynamic Conditional Random Fields. [paper]
In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 2009), Pasadena, California, USA, Pages 1321-1326.
(Oral Presentation, Acceptance Rate = 331 / 1290 = 25.7%)

Hankui Zhuo, Derek Hao Hu, Chad Hogg, Qiang Yang, Hector Munoz-Avila.
Learning HTN Method Preconditions and Action Models from Partial Observations. [paper]
In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI 2009), Pasadena, California, USA, Pages 1804-1809.
(Oral Presentation, Acceptance Rate = 331 / 1290 = 25.7%)

Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu.
Detecting abnormal events via Hierarchical Dirichlet Processes. (Best Student Paper Award) [paper]
In Proceedings of the Thirteenth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2009), Bangkok, Thailand, Pages 278-289.
(Oral Presentation, Acceptance Rate = 39 / 338 = 11.5%)

Qian Xu, Derek Hao Hu, Hong Xue, Weichuan Yu and Qiang Yang.
Semi-supervised Protein Subcellular Localization. [paper] [presentation]
In Proceedings of the Seventh Asia Pacific Bioinformatics Conference (APBC 2009), Beijing, China, Pages 537-547.
(Oral Presentation)

2008

Hankui Zhuo, Qiang Yang, Derek Hao Hu, Lei Li.
Transferring Knowledge from Another Domain for Learning Action Models. [paper] [poster]
In Proceedings of the Tenth Pacific Rim International Conference on Artificial Intelligence (PRICAI 2008), Hanoi, Vietnam, Pages 1110-1115.
(Poster Presentation)

Derek Hao Hu, Sinno Jialin Pan, Vincent Wenchen Zheng, Nathan Nan Liu, Qiang Yang.
Real World Activity Recognition with Multiple Goals. [paper] [presentation]
In Proceedings of the Tenth International Conference on Ubiquitous Computing (Ubicomp 2008), Seoul, Korea, Pages 30-40.
(Oral Presentation, Acceptance Rate = 42 / 226 = 19%)

Derek Hao Hu, Qiang Yang.
CIGAR: Concurrent and Interleaving Goal and Activity Recognition. [paper] [presentation] [poster]
In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI 2008), Chicago, Illinois, USA, Pages 1363-1368.
(Oral and Poster Presentation, Acceptance Rate = 227 / 937 = 24.2%, Oral and Poster Presentation Rate = 47 / 937 = 5.0%)

Workshop Publications

Derek Hao Hu, Evan Wei Xiang, Qiang Yang.
Get more Clicks! [paper] [presentation]
In SIGIR 2009 Workshop on Information Retrieval and Advertising (IRA 2009).

Hankz Hankui Zhuo, Derek Hao Hu, Chad Hogg, Qiang Yang, Hector Munoz-Avila.
Learning Model Structures in AI Planning from Partial Observations. [paper] [presentation]
In IJCAI 2009 Workshop on Learning Structural Knowledge from Observations (STRUCK 2009).

Yiqiang Chen, Zhuo Sun, Juan Qi, Derek Hao Hu, Qiang Yang.
LoSeCo: Location-based Search Computing for Pervasive Device Augmentation. [paper] [presentation]
In PerCom 2009 Workshop: The Second International Workshop on Intelligent Pervasive Devices (PerDev 2009).

Derek Hao Hu, Qiang Yang, Ying Li.
An Algorithm for Analyzing Personalized Online Commercial Intention. [paper]
In Proceedings of the Second International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD 2008), Las Vegas, Nevada, USA, Pages 27-36.

Sinno Jialin Pan, Vincent Wenchen Zheng, Qiang Yang, Derek Hao Hu.
Transfer Learning for WiFi-based Indoor Localization. [paper] [presentation]
In AAAI 2008 Workshop: Transfer Learning for Complex Tasks.

Professional Activities

AAAI Member, ACM Member

IUI 2009 Program Committee Member
CIKM 2009 Program Committee Member

Reviewer for JMLR: Journal of Machine Learning Research
Reviewer for TKDE: IEEE Transactions on Knowledge and Data Engineering
Reviewer for TKDD: ACM Transactions on Knowledge Discovery from Data
Reviewer for IEEE Intelligent Systems
Reviewer for FCSC: Frontiers of Computer Science in China
Reviewer for JOS: Journal of Software
Reviewer for EURASIP Journal on Image and Video Processing

External Conference Reviewer for AAAI 2008, ICML 2008, SIGKDD 2008, CIKM 2008, WSDM 2008, WSDM 2009, PAKDD 2008, PAKDD 2009, ADKDD 2008, Ubicomp 2008, ICDE 2009, ICDM 2008, WI 2008, WI 2009, WWW 2009, IJCAI 2009, EMNLP 2009, CCIR 2009

Teaching

Fall 2007, TA for COMP221: Fundamentals of Artificial Intelligence.
Spring 2008, TA for COMP341: Computer Graphics.
Spring 2008, Tutor for Information Technology Enrichment Project Course - Lego Robotics Programming
Spring 2009, TA for COMP300E: Programming Challenges.
Fall 2009 - Spring 2010, Teaching Assistant Coordinator.
Fall 2009 - Spring 2010, PG Coordinator of HKUST acm/icpc Programming Contest Team.
Fall 2009 - Spring 2010, TA for Final Year Project: Lego Robots Guided by WiFi Devices.

Friends in Academia (Links listed with their approval):

In HKUST: Wujun Li, Sinno Jialin Pan, Yi Wang, Evan Wei Xiang, Vincent Wenchen Zheng
In Nanjing University: Yangsheng Ji, Yufeng Li, Yang Yu
Others: Yao Liu, Chen Qian, Dou Shen, Ivor Tsang, Liang Wang, Zhiting Xu, Jie Yin, Zeyuan Zhu