Welcome to Hankz Hankui Zhuo's Homepage

Biography: Hankz Hankui Zhuo is a full Professor of School of Artificial Intelligence at Nanjing University (NJU) in China. Before joining NJU, he was a faculty member at Sun Yat-sen University (SYSU) from 2009 to 2024. He received B.Sc. and Ph.D. from SYSU in 2004 and 2009, respectively. He was a Ph.D. Student jointly trained by SYSU and Hong Kong University of Science and Technology (HKUST) from 2007 to 2009. He was a Postdoc at Arizona State University (ASU) from 2012 to 2013, a Visiting Scholar at HKUST from 2013 to 2014, and Visisting Scholar at ASU in 2015. He was elected as an Executive Council member of ICAPS (International Conference on Automated Planning and Scheduling) between 2021 and 2027. He served as a Conference co-Chair of ICAPS in 2021. He was elected as an AAAI Senior Member in 2020 (only 12 senior members were elected in 2020). His research interests span automated Planning, machine Learning, multi-Agent systems, Natural language processing, and their related innovative applications (denoted by X). This blend of disciplines forms the core of what he calls XPLAN.

Contact: hankz@nju [dot] edu [dot] cn Or WeChat ID "Hankz-Zhuo"

Open Positions: Postdoc., PhD., MSc., Self-motivated undergraduates

Office: 南京大学仙林校区邵逸夫楼A509

Service and/or Hornors:

ICAPS Executive Council Member (2021-2027): https://www.icaps-conference.org/icaps-executive-council/
AAAI Senior Member Honor: https://www.aaai.org/Awards/senior.php
ICAPS 2026 Sponsorship co-chair
ICAPS 2022 Sponsorship co-chair
ICAPS 2021 Conference co-chair: https://www.icaps-conference.org/conference/icaps-2021/
ICAPS 2020 area chair
ICAPS 2019 Sponsorship co-chair
IJCAI/AAAI Senior PC Members, 2011 ~ 2024
IJCAI 2016 demonstration co-chair
AAMAS 2016 Best Student Paper Nomination
Guangdong Special Branch Plans Young Talent with Scientific and Technological Innovation
Distinguished Young Scholar of Guangdong Province
Pearl River New Star Scholar of Guangzhou
CAAI 伦理与治理工委会常委
CCF 高级会员

Publications

Kebing Jin, Hankz Hankui Zhuo
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge. ACM Transactions on Intelligent Systems and Technology. March 2025. Accepted.

Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning. Neural Networks. Volume 186, 2025.

Fan Zhang, Kebing Jin, Hankz Hankui Zhuo
Planning with Logical Graph-based Language Model for Instruction Generation. ECAI 2024

Hankz Hankui Zhuo, Xin Chen, Rong Pan
On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs. arxiv. 2024

周展文（Zhanwen Zhou）, 卓汉逵*（Hankz Hankui Zhuo）.
芯片智能布线方法研究综述 (Survey on intelligent routing approaches for chips). 自动化学报（ACTA AUTOMATICA SINICA）, April 2024.

卓汉逵，姚正安，周展文，洪思琪.
面向基础科学研究的强化学习方法及应用. 中国计算机学会通讯, Aug. 2023.

Kebing Jin, Hankz Hankui Zhuo*, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati.
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract). IJCAI, 2023.

Weixin Wu, Hankz Hankui Zhuo*.
Efficient Inference for BERT based on Dynamic Planning. ECAI, 2023.

Siqi Hong, Hankz Hankui Zhuo*, Kebing Jin, Guang Shao, Zhanwen Zhou.
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search. Communications Chemistry, Nature Portfolio. 6:120. 2023.

Zhanwen Zhou, Hankz Hankui Zhuo*, Xiaowu Zhang, Qiyuan Deng
XRoute Environment: A Novel Reinforcement Learning Environment for Routing. Arxiv 2023.

Jingjin Liu, Hankz Hankui Zhuo*, Kebing Jin, Jiamin Yuan, Zhimin Yang, Zhengan Yao
Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation. Arxiv 2023.

Chao Yu, Xuejing Zheng, Hankz Hankui Zhuo, Hai Wan, Weilin Luo
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey. Arxiv 2023.

Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. AAAI 2023.

Kebing Jin, Hankz Hankui Zhuo*, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters. Artificial Intelligence. Volume 313, December 2022.

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]

News

Congrats to Xuechen Mu, whose paper accepted by Neural Networks, Feb 2025.

A survey paper accepted by ACTA AUTOMATICA SINICA (自动化学报), Nov 2023

One paper accepted by ECAI, Jun 2023

One paper accepted by Communications Chemistry, Nature Portfolio, May 2023

One paper accepted by AI Journal, September 2022

One paper accepted by NeurIPS, September 2022

One short paper accepted by WWW 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

Conf	Abstract	Submission	Notification	Conference Date
ICML-23	N/A	Jan 26 '23 08:00 PM UTC	--------	Jul 23rd through Sat the 29th, 2023 Hawaii Convention Center
IJCAI-23	January 11, 2023	January 18, 2023	--------	Aug 19th to Aug 25th, 2023 Cape Town, South Africa
ICAPS-23	November 25, 2022	November 30, 2022	N/A	July 8-13, 2023 Prague, Czech Republic
ACL-23	January 13, 2023	January 20, 2023	--------	July 10-12, 2023
SIGIR-23	January 24, 2023	January 31, 2023	--------	July 23rd to 27th, 2023 Taipei, China
NeurIPS-23	May 11, 2023	May 17, 2023	Sep 21	Dec 10-16, 2023
ICLR-24	Sept, 2023	Sept, 2023	--------	May, 2024
AAAI-24	Sept , 2023	Sept , 2023	--------	--------

Welcome to Hankz Hankui Zhuo's Homepage

Contact: hankz@nju [dot] edu [dot] cn Or WeChat ID "Hankz-Zhuo"

Open Positions: Postdoc., PhD., MSc., Self-motivated undergraduates

Office: 南京大学仙林校区邵逸夫楼A509

Publications

Kebing Jin, Hankz Hankui Zhuo Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge. ACM Transactions on Intelligent Systems and Technology. March 2025. Accepted.

Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning. Neural Networks. Volume 186, 2025.

Fan Zhang, Kebing Jin, Hankz Hankui Zhuo Planning with Logical Graph-based Language Model for Instruction Generation. ECAI 2024

Hankz Hankui Zhuo, Xin Chen, Rong Pan On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs. arxiv. 2024

周展文（Zhanwen Zhou）, 卓汉逵*（Hankz Hankui Zhuo）. 芯片智能布线方法研究综述 (Survey on intelligent routing approaches for chips). 自动化学报（ACTA AUTOMATICA SINICA）, April 2024.

卓汉逵，姚正安，周展文，洪思琪. 面向基础科学研究的强化学习方法及应用. 中国计算机学会通讯, Aug. 2023.

Kebing Jin, Hankz Hankui Zhuo*, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati. Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract). IJCAI, 2023.

Weixin Wu, Hankz Hankui Zhuo*. Efficient Inference for BERT based on Dynamic Planning. ECAI, 2023.

Siqi Hong, Hankz Hankui Zhuo*, Kebing Jin, Guang Shao, Zhanwen Zhou. Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search. Communications Chemistry, Nature Portfolio. 6:120. 2023.

Zhanwen Zhou, Hankz Hankui Zhuo*, Xiaowu Zhang, Qiyuan Deng XRoute Environment: A Novel Reinforcement Learning Environment for Routing. Arxiv 2023.

Jingjin Liu, Hankz Hankui Zhuo*, Kebing Jin, Jiamin Yuan, Zhimin Yang, Zhengan Yao Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation. Arxiv 2023.

Chao Yu, Xuejing Zheng, Hankz Hankui Zhuo, Hai Wan, Weilin Luo Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey. Arxiv 2023.

Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. AAAI 2023.

Kebing Jin, Hankz Hankui Zhuo*, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters. Artificial Intelligence. Volume 313, December 2022.

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]

Previous Members

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:

News

recent news

CFPs

Read & Write

Writings:

Readings:

Source Code

When referencing the source code, mark the source author

Kebing Jin, Hankz Hankui Zhuo
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge. ACM Transactions on Intelligent Systems and Technology. March 2025. Accepted.

Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning. Neural Networks. Volume 186, 2025.

Fan Zhang, Kebing Jin, Hankz Hankui Zhuo
Planning with Logical Graph-based Language Model for Instruction Generation. ECAI 2024

Hankz Hankui Zhuo, Xin Chen, Rong Pan
On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs. arxiv. 2024

周展文（Zhanwen Zhou）, 卓汉逵*（Hankz Hankui Zhuo）.
芯片智能布线方法研究综述 (Survey on intelligent routing approaches for chips). 自动化学报（ACTA AUTOMATICA SINICA）, April 2024.

卓汉逵，姚正安，周展文，洪思琪.
面向基础科学研究的强化学习方法及应用. 中国计算机学会通讯, Aug. 2023.

Kebing Jin, Hankz Hankui Zhuo*, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati.
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract). IJCAI, 2023.

Weixin Wu, Hankz Hankui Zhuo*.
Efficient Inference for BERT based on Dynamic Planning. ECAI, 2023.

Siqi Hong, Hankz Hankui Zhuo*, Kebing Jin, Guang Shao, Zhanwen Zhou.
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search. Communications Chemistry, Nature Portfolio. 6:120. 2023.

Zhanwen Zhou, Hankz Hankui Zhuo*, Xiaowu Zhang, Qiyuan Deng
XRoute Environment: A Novel Reinforcement Learning Environment for Routing. Arxiv 2023.

Jingjin Liu, Hankz Hankui Zhuo*, Kebing Jin, Jiamin Yuan, Zhimin Yang, Zhengan Yao
Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation. Arxiv 2023.

Chao Yu, Xuejing Zheng, Hankz Hankui Zhuo, Hai Wan, Weilin Luo
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey. Arxiv 2023.

Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. AAAI 2023.

Kebing Jin, Hankz Hankui Zhuo*, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters. Artificial Intelligence. Volume 313, December 2022.

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]