Hankz Hankui Zhuo's Homepage

Hankz Hankui Zhuo

Phone: (86) 186 888 57001

Current Address: School of Information Science and

Technology, Sun Yat-sen University,

Panyu District, Guangzhou, China.

510006

| Groups | Teaching |

Education/Experience:

2009.9 ~ Assistant Professor, Computer Science, Sun Yat-sen University.

2012.7 ~ 2013.2 Visiting Faculty, Dept. of Computer Science & Engineering, Arizona State University,

with Professor Subbarao Kambhampati.

2007.10 ~ 2009.12 Research Assistant / Postdoc, Hong Kong University of Science and Technology, Hong Kong,

with Professor Qiang Yang.

2004.9 ~ 2009.7 PHD, Computer Science, Sun Yat-sen University, with Professor Lei Li.

2000.9 ~ 2004.7 B.Sc., Computer Science, Sun Yat-sen University.

My research interests include Machine Learning, AI Planning, Computer Vision, Multi-agent Systems.

Publications:

1. Hankz Hankui Zhuo and Subbarao Kambhampati.

Action-Model Acquisition from Noisy Plan Traces.

International Joint Conference on Artificial Intelligence (IJCAI-13), Beijing, China. Aug. 3-9, 2013.

2. Hankz Hankui Zhuo, Tuan Nguyen and Subbarao Kambhampati.

Refining Incomplete Planning Domain Models Through Plan Traces.

International Joint Conference on Artificial Intelligence (IJCAI-13), Beijing, China. Aug. 3-9, 2013.

3. Hankz Hankui Zhuo, Subbarao Kambhampati and Tuan Nguyen.

Model-Lite Case-Based Planning.

Association for the Advancement of Artificial Intelligence (AAAI-13). Bellevue, WA, US. Jul. 14-18, 2013.

4. Hankz Hankui Zhuo, Qiang Yang and Subbarao Kambhampati.

Action-Model based Multi-agent Plan Recognition.

Neural Information Processing Systems (NIPS-12). 377-385, 2012.

[pdf][slides]

5. Daojun Han, Hankz Hankui Zhuo, Lanting Xia, Lei Li.
Permission and Role Automatic Assigning of User in RBAC.
Journal of Central South University of Technology (JCSUT). Vol.19, No.4, 2012.

6. Jie Gao, Hankz Hankui Zhuo, Daojun Han, Lei Li.

Learning Action Models with Indeterminate Effects.

International Conference on Software Engineering and Knowledge Engineering (SEKE-11), 159-162, 2011.

7. Hankz Hankui Zhuo and Lei Li.

Multi-agent Plan Recognition with Partial Team Traces and Plan Libraries.

International Joint Conference on Artificial Intelligence (IJCAI-11), 484-489, 2011.

[pdf][slides]

8. Qiang Yang, Vincent W. Zheng, Bin Li and Hankz Hankui Zhuo.

Transfer Learning by Reusing Structured Knowledge.

AI Magazine 32(2), 95-106, 2011.

[pdf][slides]

9. Hankz Hankui Zhuo, Qiang Yang, Rong Pan and Lei Li.

Cross-Domain Action-Model Acquisition for Planning via Web Search.

International Conference on Automated Planning and Scheduling (ICAPS-11), 298-305, 2011.

[pdf][slides]

10. Hankz Hankui Zhuo, Hector Muñoz-Avila and Qiang Yang.

Learning Action Models for Multi-Agent Planning.

International Conference on Autonomous Agents and Multiagent Systems (AAMAS-11), 217-224, 2011.

[pdf][slides]

11. Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu and Lei Li.

Learning Complex Action Models with Quantifiers and Logical Implications.

Artificial Intelligence Journal (AIJ), 174(18), 1540-1569, 2010. http://dx.doi.org/10.1016/j.artint.2010.09.007.

[pdf][slides]

12. Hankz Hankui Zhuo, Derek Hao Hu, Chad Hogg, Qiang Yang, Hector Muñoz-Avila.
Learning HTN Method Preconditions and Action Models from Partial Observations.

International Joint Conference on Artificial Intelligence (IJCAI-09), 1804-1810, 2009.

[pdf][slides]

13. Hankz Hankui Zhuo, Qiang Yang, Lei Li.

Constraint-Based Case-Based Planning Using Weighted MAX-SAT.

International Conference on Case-Based Reasoning (ICCBR-09), 374-388, 2009.

[pdf][slides]

14. Hankz Hankui Zhuo, Qiang Yang, Lei Li.

Transfer Learning Action Models by Measuring the Similarity of Different Domains.

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), 697-704, 2009.

[pdf][slides]

15. Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu, Lei Li.

Transferring Knowledge from Another Domain for Learning Action Models.

Pacific Rim International Conference on Artificial Intelligence (PRICAI-08), 1110-1115, 2008.

[pdf][slides]

16. Hankz Hankui Zhuo, Lei Li, Qiang Yang, Rui Bian.

Learning Action Models with Quantified Conditional Effects for Software Requirement Specification.

International Conference on Intelligent Computing (ICIC-08), 874-881, 2008.

[pdf][slides]

17. Hankz Hankui Zhuo, Lei Li, Rui Bian, Hai Wan.

Requirement Specification Based on Action Model Learning.

International Conference on Intelligent Computing (ICIC-07), 565-574, 2007.

[pdf][slides]

18. Hankz Hankui Zhuo, Derek Hao Hu, Qiang Yang, Hector Muñoz-Avila, Chad Hogg.

Learning Applicability Conditions in AI Planning from Partial Observations.

Learning Structural Knowledge from Observations (IJCAI workshop), 2009.

[pdf][slides]

Group members:

Lin Zeng (Ph.D, 2010 ~ , co-supervised): multi-agent planning, machine learning.

Xinghua Zheng (Ph.D, 2012 ~, co-supervised): Machine Learning, Planning

Junling Qiu (M. S., 2010 ~, co-supervised): Multi-agent planning

Yuansun Zou (M. S. 2011~, co-supervised): Multi-agent system

Weilin Zeng (M.S., 2012 ~): Machine Learning, Planning

Yueyun Jin (M. S., 2012 ~): Data Mining, Planning

Xuequan Ma (M. S., 2012 ~): Cloud Computing, Planning

Yingpeng Xiao (M. S., 2012 ~): Cloud Computing, Planning

CFPs:

Conf.	Abstract	Submission	Notification	Conference Date
NIPS-12	--	Jun 1, 2012	Sept 3, 2012	Dec 3-6 Lake Tahoe, Nevada, United States
ICDM-12	--	Jun 18, 2012	Sept 18, 2012	Dec 10-13, 2012. Brussels, Belgium
WSDM-13	Jul 31, 2012	Aug 7, 2012	Oct 26, 2012	Feb 6-8, 2012. Rome, Italy
AAMAS-13	Oct 8, 2012	Oct 12, 2012	Dec 20, 2012	May 6-10, 2013. Saint Paul, Minnesota, USA
SDM-13	--	Oct 12, 2012	Dec 20, 2012	Apr 26-28, 2012. Anaheim, California, USA
IUI-13	Oct 15, 2012	Oct 22, 2012	--	Mar 19-22, 2013. Santa Monica, CA, USA
CVPR-13	--	Nov 15, 2011	Feb 24, 2012	Jun 18-20, 2012. Portland, Oregon
ICAPS-13	Nov 9, 2012	Nov 16, 2012	Jan 11, 2013	Jun 10-14, 2013. Rome, Italy
ACL-13	--	--	--	Aug 4-9, 2013. Sofia, Bulgaria
AAAI-13	Jan 19, 2013	Jan 22, 2013	Mar 26, 2013	Jul 14-18, 2013. Bellevue, Washington, USA
SIGIR-13	Jan 21, 2013	Jan 28, 2013	Apr 15, 2013	Jul 28-Aug 1, 2012. Dublin, Ireland
ICML-13	--	--	--	Jun 16-21, 2013. Atlanta, USA
IJCAI-13	Jan 26, 2013	Jan 31, 2013	Apr 2, 2013	Aug 3-9, 2012. Beijing, China

News:

Two papers were accepted by IJCAI-13. Apr. 2, 2013.
A paper was accepted by AAAI-13. Mar. 26, 2013.
A NIPS paper has been accepted. Sept. 3, 2012.
Our team (as the Team Coach, members: Weilin Zeng and Erhu Rong) won the First Place at 2012 Robotcup China Open -- Service Robot Simulation (Natural Language Interface). May 26, 2012
Our team (as the Team Coach, members: Weilin Zeng, Erhu Rong, Junling Qiu, and Pengyang Cai) won the First Place at 2012 Robotcup China Open -- Service Robot Simulation (Command Interface). May 26, 2012
Students (from SYSU) who are interested in RobotcupRescue and good at programming, pls feel free to contact me. Once you are selected, you will be trained with AI background, especially AI planning / multi-agent planning. Sept. 6, 2011.
Our team (as the Team Coach, members: Pengyang Cai, Junling Qiu and Weilin Zeng) won the First Place at 2011 Robotcup China Open -- Service Robot Simulation (Command Interface). Aug. 25, 2011.
Our team (as the Team Coach, members: Zifeng Cai and Weilin Zeng) won the Second Place at The China Service Robot Completition -- Service Robot Simulation (Command Interface). May 23, 2011.
An IJCAI paper titled ``Multi-agent Plan Recognition with Partial Team Traces and Plan Libraries'' has been accepted. Mar 31, 2011.
An ICAPS paper titled ``cross-domain action-model acquisition for planning via web search'' has been accepted. Jan 18, 2011.
Running a team for Robocup@home (supported by Undergraduate Innovation Experiment Program Grant of Guangdong Province). Jan 5, 2011.
China Postdoctoral Science Foundation Grant. Dec 30, 2010.
An AAMAS paper titled ``learning action models for multi-agent planning'' has been accepted. Dec 20, 2010.
Dr. Jianmin Ji gave a report on Robocup @home. Nov 6, 2010.

Software:

Game theory: GAMUT, GAMBIT, Colored Trails
Planning: FF solver
Statistical relational AI: Alchemy
SAT: maxsatz
NLP: Wordnet
Transfer learning

Datasets:

1. Planning:

International Planning Competition 1998
International Planning Competition 2000
International Planning Competition 2002
International Planning Competition 2004
International Planning Competition 2006
International Planning Competition 2008 (Deterministic Part, Uncertainty Track, Learning Track)
International Planning Competition 2011 (Deterministic Track, Learning Track, Probabilistic Track)

2. Activity Recognition:

GeoLife GPS Trajectories [url]
2007 ICDM Data Mining Contest: Indoor Location Estimation and Transfer Learning for Indoor Location Estimation [url]
MIT PlaceLab Datasets (PLIA1, PLIA2, PLCouple1) [url]
Dataset in "Fine-Grained Activity Recognition by Aggregating Abstract Object Usage, ISWC 2005" [url]
Dataset in "High-level Goal Recognition in a Wireless LAN" and "Multiple-Goal Recognition from Low-Level Signals" [url]