1. Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong and Sinno Jialin Pan. Transfer Value Iteration Networks.
    AAAI, Feb 2020

  2. Zhanhao Xiao, Hai Wan, Hankui Hankz Zhuo, Andreas Herzig, Laurent Perrusse, Peilin Chen. Refining HTN Methods via Task Insertion with Preferences.
    AAAI, Feb 2020

  3. Xinghua Zheng, Ming Tang, Hankz Hankui Zhuo, Kevin X. Wen. Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems. https://arxiv.org/abs/1909.09616 2019

  4. Zhanhao Xiao, Hai Wan, Hankz Hankui Zhuo, Jinxia Lin, Yanan Liu. Representation Learning for Classical Planning from Partially Observed Traces. https://arxiv.org/abs/1907.08352 2019

  5. Hankz Hankui Zhuo, Jing Peng, Subbarao Kambhampati. Learning Action Models from Disordered and Noisy Plan Traces. https://arxiv.org/pdf/1908.09800.pdf 2019

  6. Hankz Hankui Zhuo, Wenfeng Feng, Qian Xu, Qiang Yang, Yufeng Lin. Federated Reinforcement Learning. https://arxiv.org/abs/1901.08277. 2019

  7. Feng Liao, Hankz Hankui Zhuo, Xiaoling Huang, Yu Zhang. Federated Hierarchical Hybrid Networks for Clickbait Detection. https://arxiv.org/abs/1906.00638 2019

  8. Hankz Hankui Zhuo. Recognizing Multi-Agent Plans When Action Models and Team Plans Are Both Incomplete. ACM TIST, May 2019.

  9. Min Tang (M. Phil Student), Jiaran Cai (Master Student), Hankz Hankui Zhuo. Multi-Matching Network for Multiple Choice Reading Comprehension. AAAI, 2019.

  10. Wenfeng Feng (M. Phil Student), Hankz Hankui Zhuo, Subbarao Kambhampati. Extracting Action Sequences from Texts Based on Deep Reinforcement Learning. IJCAI, 2018.

  11. 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. PRCV, 2018.

  12. Yuncong Li (M. Phil Student), Hankz Hankui Zhuo. An Integrated Development Environment for Planning Domain Modeling. ICAPS demonstration track, 2018.

  13. Jin Mingmin (M. Phil Student), Xin Luo (M. Phil Student), Hankz Hankui Zhuo. Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation. NAACL 2018.

  14. Chuantao Zong (M. Phil Student), Wenfeng Feng (M. Phil Student), Vincent W. Zheng, Hankz Hankui Zhuo. Adaptive Attention Network for Review Sentiment Classification. PAKDD 2018.

  15. Mengya Wang (M. Phil Student), Erhu Rong, Hankz Hankui Zhuo, Huiling Zhu. Embedding Knowledge Graphs Based on Transitivity and Antisymmetry of Rules. PAKDD 2018.

  16. 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

  17. 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

  18. 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

  19. 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.

  20. Hankz Hankui Zhuo and Subbarao Kambhampati. Model-Lite Planning: Case-Based vs. Model-Based Approaches. Artificial Intelligence. Volume 246, May 2017, Pages 1–21.

  21. Hankz Hankui Zhuo. Human-Aware Plan Recognition. AAAI 2017. [pdf].

  22. Xin Tian (M. Phil Student), Hankz Hankui Zhuo, Subbarao Kambhampati. Discovering Underlying Plans Based on Distributed Representations of Actions. AAMAS, 2016. PDF. (Best Student Paper Nomination) [video]

  23. 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)

  24. 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.

  25. Hankz Hankui Zhuo. Crowdsourced Action-Model Acquisition for Planning. AAAI 2015: 3439-3446. [PDF] 

  26. Hankz Hankui Zhuo, Hector Muñoz-Avila and Qiang Yang. Learning Hierarchical Task Network Domains from Partially Observed Plan Traces. Artificial Intelligence. volume 212, July 2014, Pages 134-157. http://dx. doi. org/10. 1016/j. artint. 2014. 04. 003

  27. Hankz Hankui Zhuo and Qiang Yang. Action-model acquisition for planning via transfer learning. Artificial Intelligence. volume 212, July 2014, Pages 80-103. http://dx. doi. org/10. 1016/j. artint. 2014. 03. 004

  28. Hankz Hankui Zhuo. Multi-Agent Plan Recognition from Partially Observed Team Traces. Book Chapter on Plan, Activity, and Intent Recognition Theory and Practice. Chapter 9. Elsevier press. Mar, 2014.

  29. Yueyun Jin, Weilin Zeng, Hankz Hankui Zhuo, and Lei Li. Ensemble of Unsupervised and Supervised Models with Different Label Spaces. ADMA (2) 2013: 466-477

  30. 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. [PDF]

  31. Hankz Hankui Zhuo. and Subbarao Kambhampati. Action-Model Acquisition from Noisy Plan Traces. International Joint Conference on Artificial Intelligence (IJCAI-13),2444-2450,2013. [PDF]

  32. 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. [PDF] 

  33. 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. [PDF]

  34. 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]

  35. 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.

  36. 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.

  37. 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]

  38. 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]

  39. 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]

  40. 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]

  41. Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu and Lei Li. Learning Complex Action Models with Quantifiers and Logical Implications. Artificial Intelligence, 174(18), 1540-1569, 2010. http://dx. doi. org/10. 1016/j. artint. 2010. 09. 007. [PDF]

  42. 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]

  43. 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]

  44. 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]

  45. 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]

  46. 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]

  47. 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.

  48. 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.