News

One short paper accepted by WWWW 2022

One paper accepted by AAAI 2022

One paper accepted by NeurIPS 2021

Hankz was elected as an ICAPS Executive Council Member, Aug 11, 2021

Hankz was elected as an AAAI Senior Member, Dec 18, 2019

国际智能规划组织 ICAPS (International Conference on Automated Planning and Scheduling) 于2019年7月14日在UC Berkeley宣布了ICAPS 2021在广州召开.
Conference Chairs: Hankz Hankui Zhuo, Qiang Yang, Minh Do
Program Chairs: Susanne Biundo, Robert Goldman.

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

"Federated Hierarchical Hybrid Networks for Clickbait Detection" . arXiv, 2019.

"Federated Reinforcement Learning" . arXiv, 2019

Looking for interns working on the project of developing an intelligent system (based on Python) to assist the blind using computers. April 12, 2019

Wenfeng Feng is awarded as one of the Best Students of Sun Yat-Sen University! Congrats to Wenfeng. Dec. 2018

Talks in JD.com : [video1] [video2] [video3] [video4]
[video5] [video6], May 27, 2017

Jobs Opening: Postdoc and Research Fellow positions in AI Planning, Machine Learning, NLP

An AIJ Paper available online, Feb 2017.

Serve as a Co-Chair of the IJCAI Demonstration Track 2016.

Dji UAV(unmanned aerial vehicle)

Best Student Paper Award Nomination of AAMAS 2016

推荐可视化效果展示系统

推荐算法在盲人计算机辅助系统的应用

Publications

Kebing Jin, Hankz Hankui Zhuo*, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters. Artificial Intelligence. Accepted

Zifan Wu, Chao Yu, Chen Chen, Jianye HAO, Hankz Hankui Zhuo.
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning. NeurIPS 2022. Accepted

Kebing Jin, Huaixun Chen, Hankz Hankui Zhuo.
Text-Based Action-Model Acquisition for Planning. CoRR abs/2202.08373

Kebing Jin, Hankz Hankui Zhuo.
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge CoRR abs/2202.07138.

Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo.
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. CoRR abs/2202.01256.

Liming Gao, Dongliang Liao, Gongfu Li, Jin Xu and Hankz Hankui Zhuo.
Semantic IR fused Heterogeneous Graph Model in Tag-based Video Search. short paper, industry track at WWW 2022. [datasets]

Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Yu Chao.
Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. AAAI 2022.

Siqi Hong, Hankz Hankui Zhuo, Kebing Jin, Zhanwen Zhou.
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search. https://arxiv.org/abs/2112.06028

Susanne Biundo, Minh Do, Robert Goldman, Michael Katz, Qiang Yang, Hankz Hankui Zhuo (姓氏字母排序).
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICASP 2021, Guangzhou, China (virtual), August 2-13, 2021. ISBN 978-1-57735-867-1, AAAI.

Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo.
Coordinated Proximal Policy Optimization. NeurIPS 2021

Xinghua Zheng, Ming Tang, Yuechang Liu, Zhengzheng Xian and Hankz Hankui Zhuo.
Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems. Applied Sciences 11 (16), 7227

Liming Gao, Huiling Zhu, Hankz Hankui Zhuo, Jin Xu.
Dual Quaternion Embeddings for Link Prediction. Appl. Sci. 2021, 11(12), 5572.

Ziqi Sheng, Kebing Jin, Zhihao Ma, Hankz Hankui Zhuo.
Action Generative Networks Planning for Deformable Objects with Raw Observations. Sensors. 2021.

Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning。 CoRR abs/2103.08228 (2021)

Huiling Zhu, Xin Luo, Hankz Hankui Zhuo.
Dual Graph Representation Learning. Arxiv. 2020.

Junyi Shen, Hankz Hankui Zhuo, Jing Xu, Bin Zhong, Sinno Jialin Pan.
Transfer Value Iteration Networks. AAAI 2020.

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

Yuechang Liu, Dongbo Xie, Hankz Hankui Zhuo and Liqian Lai.
Plan2Dance: Planning Based Choreographing from Musics. AAAI demonstration track, 2020.

Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati, Xin Tian. Discovering Underlying Plans Based on Shallow Models.
ACM TIST (Transactions on Intelligent Systems and Technology), 11 (2), 1-30, 2020 .

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

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

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

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

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

Hankz Hankui Zhuo. Recognizing Multi-Agent Plans When Action Models and Team Plans Are Both Incomplete. ACM TIST 10(3): 30:1-30:24 (2019).

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

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

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.

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

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.

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.

Mengya Wang (M. Phil Student), Erhu Rong, 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
URL: 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.
URL: 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.
URL: https://arxiv.org/abs/1702.07117

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

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

CFPs

Conf	Abstract	Submission	Notification	Conference Date
ICML-19	Jan. 18, 2019	Jan. 23, 2019	--------	June 10th to June 15th, 2019 Long Beach, CA, USA
KDD-19	--------	Feb 3, 2019	April 28, 2019	August 3 to August 7, 2019 Anchorage, Alaska USA
IJCAI-19	Feb 19, 2019	Feb 25, 2019	May 9, 2019	Aug 10-16, 2019 Macao, China
ACL-19	--------	March 4, 2019	May 13, 2019	July 29-31, 2019 Florence, Italy
EMNLP-19	--------	May 21, 2019	Aug 12, 2019	Nov 5-7, 2019 Hong Kong, China
AAAI-19	Sept 1, 2018	Sept 5, 2018	Nov 1, 2018	Jan 27 - Feb 1, 2019 Hawaii, USA
ICAPS-19	Nov , 2018	Nov , 2018	Jan , 2019	Jun , 2019 Berkeley, CA USA
AAMAS-19	Nov , 2018	Nov , 2018	Jan , 2019	May , 2019 Singapore
NIPS-18	--------	May 18, 2018	Sept 1, 2018	Dec 3-8, 2018 Palais des Congrès de Montréal
ICDM-18	--------	June 5, 2018	August 17, 2018br />	November 17 – 20, 2018 Singapore

Read Write

Writings:

1. English Usage, Style & Composition. 2. Common Errors in English Usage. 3. Guide to Grammar and Style

4. Passive voice and the word "I". 5. Seven Steps to Better Presentations. 6. Edward Tufte’s Presentation Tips.

Readings:

1. Learning Plannable Representations with Causal InfoGAN, NIPS 2018.

2. Transfer of Deep Reactive Policies for MDP Planning, NIPS 2018.

3. From Stochastic Planning to Marginal MAP, NIPS 2018.

4. Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems, NIPS 2018

5. Differentiable MPC for End-to-end Planning and Control, NIPS 2018

6. Gated Path Planning Networks. ICML 2018. [abs] [Download PDF][Supplementary PDF]

7. Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control. ICML 2018. [abs] [Download PDF][Supplementary PDF]

8. Hierarchical Text Generation and Planning for Strategic Dialogue. ICML 2018. [abs] [Download PDF]

9. A Robust Approach to Sequential Information Theoretic Planning. ICML 2018. [abs] [Download PDF][Supplementary PDF]

Source Code

When referencing the source code, mark the source author

Action Model Learning:

HTNML is designed to learn Hierarchical Task Network Models. Please refer to the above papers for more details. HTNML, as well as SOME testing data, can be downloaded here. [download]

PlanTool:

PlanTool is a tool for efficient application and research in planning area, which integrating various popular planners. The description of the tool can be found from [here]. PlanTool source code can be downloaded here [download]

Plan Recognition:

DUP is a plan recogntiion tool that aims to recognize plans that are either from or out of the plan library. Please refer to our best student nomination AAMAS-16 paper: "Xin Tian (M. Phil Student), Hankz Hankui Zhuo, Subbarao Kambhampati. Discovering Underlying Plans Based on Distributed Representations of Actions. AAMAS, 2016." [download]

Current Members

Kebing Jin

PHD student (2019 ~ )

Ziqi Sheng

Master Student (2018~)

Mei Ye

Master Student (2018~)

Liming Gao

Master Student (2019~)

Zhihao Ma

Master Student (2019~)

Li Tan

Master Student (2019~)

Jianxin Yang

Master Student (2019~)

Pengyu Xie

Master Student (2019~)

Siqi Hong

Master Student (2020 ~)

Mu Jin

Master Student (2020 ~)

Jinkun Chen

Master Student (2020 ~)

Yue He

Master Student (2020 ~)

Alumni

Xinghua Zheng (郑兴华 @??)

PHD student (cosupervised)

Yuansun Zou (邹缘孙 @Tencent)

Master Student (2012~2015)

Yueyun Jin (金悦云 @???)

Master Student (2012~2015)

Xiqing Sun (孙喜庆 @Zhaohang)

Master Student (2012~2015)

Weilin Zeng (曾伟林 @Google)

Master Student (2012~2015)

Yingpeng Xiao (肖映朋 @Tencent)

Master Student (2012~2015)

Xuequan Ma (马学权 @???)

Master Student (2012~2015)

Wen He (何文 @WeChat)

Master Student (2014~2016)

Jiawen Luo (罗嘉文 @SYSU)

Master Student (2014~2017)

Han Tian (田晗 @HKUST)

Master Student (2014~2017)

Xin Tian (田鑫 @Baidu)

Master Student (2014~2017)

Junhua He (何俊华 @???)

Master Student (2014~2017)

Wenxiao Rong (容文晓 @???)

Master Student (2015~2017)

Minming Jin (金铭民 @Alibaba)

Master Student (2016~2017)

Chuantao Zong (宗传涛 @Tencent)

Master Student (2016~2017)

Mengya Wang (王梦雅 @Tencent)

Master Student (2016~2017)

Erhu Rong (荣二虎 @???)

Master Student (2016~2017)

Hao Fu (付豪 @???)

Master Student (2016~2017)

Min Tang (唐敏 @WeChat)

Master Student (2016~2018)

Ruipeng Li (李瑞鹏 @???)

Master Student (2016~2017)

Wenfeng Feng (冯文峰 @Alibaba)

Master Student (2016~2018)

Xin Luo (罗鑫 @???)

Master Student (2016~2018)

Enle Liu (刘恩乐 @???)

Master Student (2016~2017)

Denglin Ji (纪登林 @???)

Master Student (2016~2017)

Qing Chen (陈庆 @Tencent)

Master Student (2018~2019)

Junpeng Zhao (赵军鹏 @???)

Master Student (2018~2019)

Yuncong Li (李运聪 @???)

Master Student (2018~2019)

Junyi Shen (申珺怡 @WeChat)

Master Student (2018~2019)

Feng Liao (廖枫 @Tencent)

Master Student (2018~2019)

Xiaoling Huang (黄小玲 @WeBank)

Master Student (2018~2019)

Jian Lin (林键 @WeBank)

Master Student (2018~2019)

Jiaran Cai (蔡佳然 @Pingduoduo)

Master Student (2019~2020)

Yufeng Lin (林宇烽 @???)

Master Student (2019~2020)

Jiaqi Han (韩佳琪 @???)

Master Student (2019~2020)

Welcome to XPlan-Lab

Hankz Hankui Zhuo

Research Interests: AI Planning, Machine Learning, Agents, NLP

37266167

zhuohank@mail.sysu.edu.cn

Homepage

News

recent news

Publications

Kebing Jin, Hankz Hankui Zhuo*, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters. Artificial Intelligence. Accepted

Zifan Wu, Chao Yu, Chen Chen, Jianye HAO, Hankz Hankui Zhuo. Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning. NeurIPS 2022. Accepted

Kebing Jin, Huaixun Chen, Hankz Hankui Zhuo. Text-Based Action-Model Acquisition for Planning. CoRR abs/2202.08373

Kebing Jin, Hankz Hankui Zhuo. Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge CoRR abs/2202.07138.

Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo. Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. CoRR abs/2202.01256.

Liming Gao, Dongliang Liao, Gongfu Li, Jin Xu and Hankz Hankui Zhuo. Semantic IR fused Heterogeneous Graph Model in Tag-based Video Search. short paper, industry track at WWW 2022. [datasets]

Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Yu Chao. Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. AAAI 2022.

Siqi Hong, Hankz Hankui Zhuo, Kebing Jin, Zhanwen Zhou. Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search. https://arxiv.org/abs/2112.06028

Susanne Biundo, Minh Do, Robert Goldman, Michael Katz, Qiang Yang, Hankz Hankui Zhuo (姓氏字母排序). Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICASP 2021, Guangzhou, China (virtual), August 2-13, 2021. ISBN 978-1-57735-867-1, AAAI.

Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo. Coordinated Proximal Policy Optimization. NeurIPS 2021

Xinghua Zheng, Ming Tang, Yuechang Liu, Zhengzheng Xian and Hankz Hankui Zhuo. Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems. Applied Sciences 11 (16), 7227

Liming Gao, Huiling Zhu, Hankz Hankui Zhuo, Jin Xu. Dual Quaternion Embeddings for Link Prediction. Appl. Sci. 2021, 11(12), 5572.

Ziqi Sheng, Kebing Jin, Zhihao Ma, Hankz Hankui Zhuo. Action Generative Networks Planning for Deformable Objects with Raw Observations. Sensors. 2021.

Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao Learning Symbolic Rules for Interpretable Deep Reinforcement Learning。 CoRR abs/2103.08228 (2021)

Huiling Zhu, Xin Luo, Hankz Hankui Zhuo. Dual Graph Representation Learning. Arxiv. 2020.

Junyi Shen, Hankz Hankui Zhuo, Jing Xu, Bin Zhong, Sinno Jialin Pan. Transfer Value Iteration Networks. AAAI 2020.

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

Yuechang Liu, Dongbo Xie, Hankz Hankui Zhuo and Liqian Lai. Plan2Dance: Planning Based Choreographing from Musics. AAAI demonstration track, 2020.

Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati, Xin Tian. Discovering Underlying Plans Based on Shallow Models. ACM TIST (Transactions on Intelligent Systems and Technology), 11 (2), 1-30, 2020 .

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

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

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

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

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

Hankz Hankui Zhuo. Recognizing Multi-Agent Plans When Action Models and Team Plans Are Both Incomplete. ACM TIST 10(3): 30:1-30:24 (2019).

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

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

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.

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

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.

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.

Mengya Wang (M. Phil Student), Erhu Rong, 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 URL: 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. URL: 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. URL: https://arxiv.org/abs/1702.07117

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

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

CFPs

Read Write

Writings:

Readings:

Projects

List of xplan-lab projects

Intelligent medical diagnosis system:

Model-Lite Planning:

Action Model Learning:

PlanTool:

Question Answering:

Intelligent Manufacturing:

From Images to Poems:

智能规划排程系统

Source Code

When referencing the source code, mark the source author

Current Members

Hankz Hankui Zhuo

Zhanwen Zhou

Yuning He

Kebing Jin

Ziqi Sheng

Mei Ye

Liming Gao

Zhihao Ma

Li Tan

Jianxin Yang

Pengyu Xie

Siqi Hong

Mu Jin

Jinkun Chen

Yue He

Alumni

Kebing Jin, Hankz Hankui Zhuo*, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters. Artificial Intelligence. Accepted

Zifan Wu, Chao Yu, Chen Chen, Jianye HAO, Hankz Hankui Zhuo.
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning. NeurIPS 2022. Accepted

Kebing Jin, Huaixun Chen, Hankz Hankui Zhuo.
Text-Based Action-Model Acquisition for Planning. CoRR abs/2202.08373

Kebing Jin, Hankz Hankui Zhuo.
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge CoRR abs/2202.07138.

Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo.
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. CoRR abs/2202.01256.

Liming Gao, Dongliang Liao, Gongfu Li, Jin Xu and Hankz Hankui Zhuo.
Semantic IR fused Heterogeneous Graph Model in Tag-based Video Search. short paper, industry track at WWW 2022. [datasets]

Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Yu Chao.
Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. AAAI 2022.

Siqi Hong, Hankz Hankui Zhuo, Kebing Jin, Zhanwen Zhou.
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search. https://arxiv.org/abs/2112.06028

Susanne Biundo, Minh Do, Robert Goldman, Michael Katz, Qiang Yang, Hankz Hankui Zhuo (姓氏字母排序).
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICASP 2021, Guangzhou, China (virtual), August 2-13, 2021. ISBN 978-1-57735-867-1, AAAI.

Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo.
Coordinated Proximal Policy Optimization. NeurIPS 2021

Xinghua Zheng, Ming Tang, Yuechang Liu, Zhengzheng Xian and Hankz Hankui Zhuo.
Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems. Applied Sciences 11 (16), 7227

Liming Gao, Huiling Zhu, Hankz Hankui Zhuo, Jin Xu.
Dual Quaternion Embeddings for Link Prediction. Appl. Sci. 2021, 11(12), 5572.

Ziqi Sheng, Kebing Jin, Zhihao Ma, Hankz Hankui Zhuo.
Action Generative Networks Planning for Deformable Objects with Raw Observations. Sensors. 2021.

Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning。 CoRR abs/2103.08228 (2021)

Huiling Zhu, Xin Luo, Hankz Hankui Zhuo.
Dual Graph Representation Learning. Arxiv. 2020.

Junyi Shen, Hankz Hankui Zhuo, Jing Xu, Bin Zhong, Sinno Jialin Pan.
Transfer Value Iteration Networks. AAAI 2020.

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

Yuechang Liu, Dongbo Xie, Hankz Hankui Zhuo and Liqian Lai.
Plan2Dance: Planning Based Choreographing from Musics. AAAI demonstration track, 2020.

Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati, Xin Tian. Discovering Underlying Plans Based on Shallow Models.
ACM TIST (Transactions on Intelligent Systems and Technology), 11 (2), 1-30, 2020 .

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

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

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

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

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

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

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.

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

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.

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.

Mengya Wang (M. Phil Student), Erhu Rong, 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
URL: 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.
URL: 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.
URL: https://arxiv.org/abs/1702.07117

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

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