卓汉逵

所属研究所、院系: 
先进网络与计算系统研究所
职称: 
副教授
办公电话: 
39943563
E-mail: 
zhuohank@mail.sysu.edu.cn
办公地点: 
广州大学城中山大学南学院楼D503
个人主页: http://xplan-lab.org
教师简介: 

The failures and reverses which await men – and one after another sadden the brow of youth – add a dignity to the prospect of human life, which no Arcadian success would do.’’ -- Henry David Thoreau

研究领域: 
  • 人工智能、智能规划、机器学习/数据挖掘
教育背景: 
  • 2004.9-2009.6,中山大学信息科学与技术学院计算机系/香港科技大学计算机科学与工程系(联合培养),博士
  • 2000.9-2004.6,中山大学信息科学与技术学院计算机系,本科
工作经历: 
  • 2016.7至今,先进网络与计算系统研究所 副所长
  • 2014.1至今, 中山大学数据科学与计算机学院,副教授
  • 2009.9-2013.12,中山大学信息科学与技术学院计算机系,讲师
     
海外经历: 
  • 2015.4-2015.10,美国亚利桑那州立大学,访问学者
  • 2013.5-2014.5,香港诺亚方舟实验室/香港科技大学,访问学者
  • 2012.2-2013.2,美国亚利桑那州立大学,博士后
  • 2007.10-2009.12,香港科技大学计算机科学与工程系,研究助理/博士后
获奖及荣誉: 
  • 广东省特支计划科技创新青年拔尖人才
  • 广东省杰出青年
  • 广州市珠江科技新星
科研项目: 
  1. 企事业单位委托科技项目、基于人机融合智能规划的智能制造平台研究与开发、2018.5-2020.5、310万元、在研、主持
  2. 广东省杰出青年基金、基于大数据迁移学习和马尔可夫逻辑网络的规划识别算法研究、2017.5-2021.5、100万元、在研、主持
  3. 广东省发展和改革委员会、大数据时代下价格行政执法智能辅助决策研究、2017.7-2018.7、20万元、在研、主持
  4. 国家自然科学基金广东省联合基金重点项目课题,U1611262,基于多模态大数据分析方法的肛肠疾病临床诊断标准及演化模型研究,2017/01-2020/12,225万元,在研、主持
  5. 广州市珠江新星、201710010196,基于大数据迁移学习和约束可满足的行为识别算法研究,2017/05-2020/04,30万元,在研,主持
  6. 国家自然科学基金青年基金、基于Markov逻辑网络的HTN模型获取算法、2014/01-2016/12、27万元、结题、主持
  7. 广东省自然科学基金博士启动项目、智能规划中不确定性动作模型的自动获取研究、2011/10-2013/10、3万元、结题、主持
  8. 企事业单位委托科技项目、接入芯片配套工具开发项目、2011/12-2013/12、36.86万元、结题、主持
  9. 广东省残疾人联合会、盲人电脑语音辅助系统的研究与实现、2014/7-2018/7、240万元、在研、主持
  10. 教育部高校基本科研业务费青年教师重点培育项目、基于智能规划和传感器的行为识别、2014/01-2015/12、30万元、结题、主持
  11. 广州市科技计划项目、国产云数据库管理系统EBASE IV的研究与应用、2011/10-2014/09、30万元、结题、主持
  12. 企事业单位委托科技项目、惠州市社保基金电子监察平台设计与开发、2010/12-2016/12、290.6 万元、结题、主持
  13. 企事业单位委托科技项目、广西图书装备管理云平台建设项目、2014/7-2015/12、80万元、结题、主持
  14. 企事业单位委托科技项目、基于大数据的推荐系统研究与实现、2013/08-2014/08、35万元、结题、主持
主要学术兼职: 
  • 国际智能规划与调度顶级会议ICAPS Sponsorship co-chair,2019
  • 国际人工智能顶级会议IJCAI展示分会Co-Chair,2016
  • 国际人工智能顶级会议IJCAI程序委员会资深委员,2013至今
  • 国际人工智能协会AAAI 委员会委员,2012至今
  • 国际智能规划顶级会议ICAPS程序委员会委员,2012至今
教授课程: 
  • 人工智能 (本科)
  • 机器学习 (本科)
  • 数据库 (本科)
  • 人工智能(研究生)
代表性论著: 

期刊论文

  • 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.
  • Qiang Yang, Vincent W. Zheng, Bin Li and Hankz Hankui Zhuo. Transfer Learning by Reusing Structured Knowledge. AI Magazine 32(2), 95-106, 2011.
  • 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. Vol.19, No.4, 2012.
  • Hankz Hankui Zhuo, Hector Muñoz-Avila and Qiang Yang. Learning Hierarchical Task Network Domains from Partially Observed Plan Traces. Artificial Intelligence Journal (AIJ), Jul 2014.
  • Hankz Hankui Zhuo, Qiang Yang. Action-Model Acquisition for Planning via Transfer Learning. Artificial Intelligence Journal (AIJ), Jul 2014.
  • Xiaomu Luo, Huoyuan Tan, Qiuju Guan, Tong Liu, Hankz Hankui Zhuo, Baihua Shen: Abnormal Activity Detection Using Pyroelectric Infrared Sensors. Sensors 16(6): 822 (2016)
  • Hankz Hankui Zhuo, Subbarao Kambhampati. Model-Lite Planning: Case-Based vs. Model-Based Approaches. Artificial Intelligence. Volume 246, May 2017, Pages 1–21.
  • Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati. Discovering Underlying Plans Based on Shallow Models. JAAMAS. accepted with revision. 2018.
  • Xinghua Zheng (PHD Student), Min Tang (M. Phil Student), Hankz Hankui Zhuo, Lei Li. Incentivizing the Use of Bike Trailers and Carrier Vehicles for Dynamic Repositioning in Bike Sharing Systems. Machine Learning, accepted with revision. 2018.

会议论文

  • Yuncong Li (M. Phil Student), Hankz Hankui Zhuo. An HIPS System: Human-in-the-Loop Planning Based on MAXSAT. ICAPS demonstration track. 2018.
  • Wenfeng Feng (M. Phil Student), Hankz Hankui Zhuo, Subbarao Kambhampati. Extracting Action Sequences from Texts Based on Deep Reinforcement Learning. IJCAI, 2018.
  • Mingmin Jin (M. Phil Student), Xin Luo, Huiling Zhu, Hankz Hankui Zhuo. Integrating Deep Learning and Topic Modeling in Context-Aware Recommendation. NAACL. 2018.
  • Chuantao Zong (M. Phil Student), Wenfeng Feng (M. Phil Student), Vincentz Wenchen Zheng Hankz Hankui Zhuo. Adaptive Attention Network for Review Sentiment Classification. PAKDD. 2018.
  • Mengya Wang (M. Phil Student), Erhu Rong (M. Phil Student), Hankz Hankui Zhuo, Huiling Zhu. Embedding Knowledge Graphs Based on Transitivity and Antisymmetry of Rules. PAKDD. 2018.
  • Han Tian (M. Phil Student), Hankz Hankui Zhuo. Paper2vec: Citation-Context Based Document Distributed Representation for Scholar Recommendation. 2017. https://arxiv.org/abs/1703.06587
  • Junhua He (M. Phil Student), Hankz Hankui Zhuo, Jarvan Law. Distributed-Representation Based Hybrid Recommender System with Short Item Descriptions. 2017. https://arxiv.org/abs/1703.04854
  • Mengya Wang (M. Phil Student), Hankz Hankui Zhuo, Huiling Zhu. Embedding Knowledge Graphs Based on Transitivity and Antisymmetry of Rules. 2017. https://arxiv.org/abs/1702.07117
  • Jarvan Law (M. Phil Student), Hankz Hankui Zhuo, Junhua He, Erhu Rong: LTSG: Latent Topical Skip-Gram for Mutually Learning Topic Model and Vector Representations. 2017. https://arxiv.org/abs/1702.07543
  • Y. Zhang, S. Sreedharan, A. Kulkarni, T. Chakraborti, Hankz Hankui. Zhuo, S. Kambhampati. Plan Explicability and Predictability for Robot Task Planning. in Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 2017.
  • Hankz Hankui Zhuo. Human-Aware Plan Recognition. AAAI 2017.
  • Xin Tian, Hankz Hankui Zhuo, Subbarao Kambhampati. Discovering Underlying Plans Based on Distributed Representations of Actions. PDF. (Best Student Paper Nomination)
  • Jie Gao, Hankz Hankui Zhuo, Subbarao Kambhampati, and Lei Li. Crowdsourced Planning with Incomplete Initial-States and Action-Models. The Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP-2015). Works-in-Progress paper. AAAI Press.
  • Hankz Hankui Zhuo. Crowdsourced Action-Model Acquisition for Planning. AAAI 2015: 3439-3446
  • Hankz Hankui Zhuo and Subbarao Kambhampati. Action-Model Acquisition from Noisy Plan Traces. International Joint Conference on Artificial Intelligence (IJCAI-13), 2444-2450, 2013.
  • Hankz Hankui Zhuo, Tuan Nguyen and Subbarao Kambhampati. Refining Incomplete Planning Domain Models Through Plan Traces. International Joint Conference on Artificial Intelligence (IJCAI-13), 2451-2457, 2013.
  • Hankz Hankui Zhuo, Subbarao Kambhampati and Tuan Nguyen. Model-Lite Case-Based Planning. Association for the Advancement of Artificial Intelligence (AAAI-13). 1077-1083, 2013.
  • Kartik Talamadupula, Subbarao Kambhampati, Yuheng Hu, Tuan Nguyen, Hankz Hankui Zhuo. Herding the Crowd: Automated Planning for Crowdsourced Planning. In the First International Conference on Human Computation (HCOMP-13), AAAI Press, 2013.
  • Hankz Hankui Zhuo, Qiang Yang and Subbarao Kambhampati. Action-Model based Multi-agent Plan Recognition. Neural Information Processing Systems (NIPS-12). 377-385, 2012.
  • 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), Jul 7-9, 2011.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

著作:

  • Hankz Hankui Zhuo*. Multiagent Plan Recognition from Partially Observed Team Traces. Book: Plan, Activity, and Intent Recognition Chapter: 9. Elsevier Press. March 2014.