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ORCIDHankui Zhuo
Hankz Hankui Zhuo
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2020 – today
- 2024
[c42]Fan Zhang, Kebing Jin, Hankz Hankui Zhuo:
Planning with Logical Graph-Based Language Model for Instruction Generation. ECAI 2024: 4052-4059- [c41]Yingkai Xiao, Kebing Jin, Renyong Ma, Hankz Hankui Zhuo:
Large-Scale Electroplating Scheduling: A Hierarchical Temporal Planning Approach. ICIC (LNAI 5) 2024: 215-226 - [i38]Hankz Hankui Zhuo, Xin Chen, Rong Pan:
On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs. CoRR abs/2403.00783 (2024) - 2023
- [j11]Hai-jun Zhang, Ying-hui Chen, Hankui Zhuo:
Unit middleware for implementation of human-machine interconnection intelligent ecology construction. J. Big Data 10(1): 107 (2023) - [c40]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: 10435-10443 - [c39]Weixin Wu, Hankz Hankui Zhuo:
DPBERT: Efficient Inference for BERT Based on Dynamic Planning. ECAI 2023: 2712-2719 - [c38]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: 6915-6919 - [c37]Benbo Zha, Hong Shen, Hankz Hankui Zhuo, Zhijian Luo:
Clustering based Probabilistic I/O Scheduling for Burst-Buffers Equipped HPC. PAAP 2023: 1-6 - [i37]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning. CoRR abs/2301.08502 (2023) - [i36]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. CoRR abs/2303.17984 (2023) - [i35]Chao Yu, Xuejing Zheng, Hankz Hankui Zhuo, Hai Wan, Weilin Luo:
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey. CoRR abs/2304.12090 (2023) - [i34]Zhanwen Zhou, Hankz Hankui Zhuo, Xiaowu Zhang, Qiyuan Deng:
XRoute Environment: A Novel Reinforcement Learning Environment for Routing. CoRR abs/2305.13823 (2023) - [i33]Jingjin Liu, Hankz Hankui Zhuo, Kebing Jin, Jiamin Yuan, Zhimin Yang, Zhengan Yao:
Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation. CoRR abs/2305.17866 (2023) - [i32]Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao:
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2306.08359 (2023) - [i31]Weixin Wu, Hankz Hankui Zhuo:
DPBERT: Efficient Inference for BERT based on Dynamic Planning. CoRR abs/2308.00108 (2023) - [i30]Fan Zhang, Kebing Jin, Hankz Hankui Zhuo:
Planning with Logical Graph-based Language Model for Instruction Generation. CoRR abs/2308.13782 (2023) - [i29]Yingkai Xiao, Jingjin Liu, Hankz Hankui Zhuo:
BalMCTS: Balancing Objective Function and Search Nodes in MCTS for Constraint Optimization Problems. CoRR abs/2312.15864 (2023) - 2022
- [j10]Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati:
Gradient-based mixed planning with symbolic and numeric action parameters. Artif. Intell. 313: 103789 (2022) - [c36]Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Chao Yu:
Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. AAAI 2022: 7042-7050 - [c35]Huiling Zhu, Liming Gao, Hankui Zhuo:
MatricEs: Matrices Embeddings for Link Prediction in Knowledge Graphs. ChineseCSCW (2) 2022: 3-17 - [c34]Yuechang Liu, Dongbo Xie, Hankz Hankui Zhuo, Liqian Lai, Zhimin Li:
Temporal Planning-Based Choreography from Music. ChineseCSCW (2) 2022: 89-102 - [c33]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 - [c32]Liming Gao, Dongliang Liao, Gongfu Li, Jin Xu, Hankz Hankui Zhuo:
Semantic IR fused Heterogeneous Graph Model in Tag-based Video Search. WWW (Companion Volume) 2022: 94-98 - [i28]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 (2022) - [i27]Kebing Jin, Hankz Hankui Zhuo:
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge. CoRR abs/2202.07138 (2022) - [i26]Kebing Jin, Huaixun Chen, Hankz Hankui Zhuo:
Text-Based Action-Model Acquisition for Planning. CoRR abs/2202.08373 (2022) - [i25]Kebing Jin, Zhanhao Xiao, Hankz Hankui Zhuo, Hai Wan, Jiaran Cai:
Learning Visual Planning Models from Partially Observed Images. CoRR abs/2211.15666 (2022) - [i24]Kebing Jin, Yingkai Xiao, Hankz Hankui Zhuo, Renyong Ma:
A Hierarchical Temporal Planning-Based Approach for Dynamic Hoist Scheduling Problems. CoRR abs/2212.05412 (2022) - 2021
- [j9]Ziqi Sheng, Kebing Jin, Zhihao Ma, Hankz Hankui Zhuo:
Action Generative Networks Planning for Deformable Object with Raw Observations. Sensors 21(13): 4552 (2021) - [c31]Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo:
Coordinated Proximal Policy Optimization. NeurIPS 2021: 26437-26448 - [e1]Susanne Biundo, Minh Do, Robert Goldman, Michael Katz, Qiang Yang, Hankz Hankui Zhuo:
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICAPS 2021, Guangzhou, China (virtual), August 2-13, 2021. AAAI Press 2021, ISBN 978-1-57735-867-1 [contents] - [i23]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) - [i22]Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati:
Gradient-Based Mixed Planning with Discrete and Continuous Actions. CoRR abs/2110.10007 (2021) - [i21]Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo:
Coordinated Proximal Policy Optimization. CoRR abs/2111.04051 (2021) - [i20]Xuejing Zheng, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines. CoRR abs/2111.09475 (2021) - [i19]Siqi Hong, Hankz Hankui Zhuo, Kebing Jin, Zhanwen Zhou:
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search. CoRR abs/2112.06028 (2021) - [i18]Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Chao Yu:
Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. CoRR abs/2112.09836 (2021) - 2020
- [j8]Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati, Xin Tian:
Discovering Underlying Plans Based on Shallow Models. ACM Trans. Intell. Syst. Technol. 11(2): 18:1-18:30 (2020) - [c30]Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan:
Transfer Value Iteration Networks. AAAI 2020: 5676-5683 - [c29]Zhanhao Xiao, Hai Wan, Hankz Hankui Zhuo, Andreas Herzig, Laurent Perrussel, Peilin Chen:
Refining HTN Methods via Task Insertion with Preferences. AAAI 2020: 10009-10016 - [c28]Yuechang Liu, Dongbo Xie, Hankz Hankui Zhuo, Liqian Lai:
Plan2Dance: Planning Based Choreographing from Music. AAAI 2020: 13624-13625 - [i17]Huiling Zhu, Xin Luo, Hankz Hankui Zhuo:
Dual Graph Representation Learning. CoRR abs/2002.11501 (2020)
2010 – 2019
- 2019
- [j7]Hankz Hankui Zhuo:
Recognizing Multi-Agent Plans When Action Models and Team Plans Are Both Incomplete. ACM Trans. Intell. Syst. Technol. 10(3): 30:1-30:24 (2019) - [c27]Min Tang, Jiaran Cai, Hankz Hankui Zhuo:
Multi-Matching Network for Multiple Choice Reading Comprehension. AAAI 2019: 7088-7095 - [i16]Hankz Hankui Zhuo, Wenfeng Feng, Qian Xu, Qiang Yang, Yufeng Lin:
Federated Reinforcement Learning. CoRR abs/1901.08277 (2019) - [i15]Feng Liao, Hankz Hankui Zhuo, Xiaoling Huang, Yu Zhang:
Federated Hierarchical Hybrid Networks for Clickbait Detection. CoRR abs/1906.00638 (2019) - [i14]Zhanhao Xiao, Hai Wan, Hankz Hankui Zhuo, Jinxia Lin, Yanan Liu:
Representation Learning for Classical Planning from Partially Observed Traces. CoRR abs/1907.08352 (2019) - [i13]Hankz Hankui Zhuo, Jing Peng, Subbarao Kambhampati:
Learning Action Models from Disordered and Noisy Plan Traces. CoRR abs/1908.09800 (2019) - [i12]Xinghua Zheng, Ming Tang, Hankz Hankui Zhuo, Kevin X. Wen:
Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems. CoRR abs/1909.09616 (2019) - [i11]Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan:
Transfer Value Iteration Networks. CoRR abs/1911.05701 (2019) - [i10]Zhanhao Xiao, Hai Wan, Hankz Hankui Zhuo, Andreas Herzig, Laurent Perrussel, Peilin Chen:
Refining HTN Methods via Task Insertion with Preferences. CoRR abs/1911.12949 (2019) - 2018
- [c26]Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati:
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning. IJCAI 2018: 4064-4070 - [c25]Mingmin Jin, Xin Luo, Huiling Zhu, Hankz Hankui Zhuo:
Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation. NAACL-HLT 2018: 1605-1614 - [c24]Mengya Wang, Erhu Rong, Hankui Zhuo, Huiling Zhu:
Embedding Knowledge Graphs Based on Transitivity and Asymmetry of Rules. PAKDD (2) 2018: 141-153 - [c23]Chuantao Zong, Wenfeng Feng, Vincent W. Zheng, Hankz Hankui Zhuo:
Adaptive Attention Network for Review Sentiment Classification. PAKDD (1) 2018: 668-680 - [c22]Jarvan Law, Hankz Hankui Zhuo, Junhua He, Erhu Rong:
LTSG: Latent Topical Skip-Gram for Mutually Improving Topic Model and Vector Representations. PRCV (3) 2018: 375-387 - [i9]Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati:
Discovering Underlying Plans Based on Shallow Models. CoRR abs/1803.02208 (2018) - [i8]Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati:
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning. CoRR abs/1803.02632 (2018) - [i7]Yuncong Li, Hankz Hankui Zhuo:
An Integrated Development Environment for Planning Domain Modeling. CoRR abs/1804.07013 (2018) - 2017
- [j6]Hankz Hankui Zhuo, Subbarao Kambhampati:
Model-lite planning: Case-based vs. model-based approaches. Artif. Intell. 246: 1-21 (2017) - [c21]Hankz Hankui Zhuo:
Human-Aware Plan Recognition. AAAI 2017: 3686-3693 - [c20]Yu Zhang, Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, Hankz Hankui Zhuo, Subbarao Kambhampati:
Plan explicability and predictability for robot task planning. ICRA 2017: 1313-1320 - [i6]Jarvan Law, Hankz Hankui Zhuo, Junhua He, Erhu Rong:
LTSG: Latent Topical Skip-Gram for Mutually Learning Topic Model and Vector Representations. CoRR abs/1702.07117 (2017) - [i5]Junhua He, Hankz Hankui Zhuo, Jarvan Law:
Distributed-Representation Based Hybrid Recommender System with Short Item Descriptions. CoRR abs/1703.04854 (2017) - [i4]Han Tian, Hankz Hankui Zhuo:
Paper2vec: Citation-Context Based Document Distributed Representation for Scholar Recommendation. CoRR abs/1703.06587 (2017) - 2016
- [j5]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) - [c19]Xin Tian, Hankz Hankui Zhuo, Subbarao Kambhampati:
Discovering Underlying Plans Based on Distributed Representations of Actions. AAMAS 2016: 1135-1143 - 2015
- [c18]Hankz Hankui Zhuo:
Crowdsourced Action-Model Acquisition for Planning. AAAI 2015: 3439-3446 - [c17]Jie Gao, Hankz Hankui Zhuo, Subbarao Kambhampati, Lei Li:
Acquiring Planning Knowledge via Crowdsourcing. HCOMP 2015: 6-7 - [i3]Xin Tian, Hankz Hankui Zhuo, Subbarao Kambhampati:
Discovering Underlying Plans Based on Distributed Representations of Actions. CoRR abs/1511.05662 (2015) - [i2]Yu Zhang, Hankz Hankui Zhuo, Subbarao Kambhampati:
Plan Explainability and Predictability for Cobots. CoRR abs/1511.08158 (2015) - 2014
- [j4]Hankz Hankui Zhuo, Qiang Yang:
Action-model acquisition for planning via transfer learning. Artif. Intell. 212: 80-103 (2014) - [j3]Hankz Hankui Zhuo, Héctor Muñoz-Avila, Qiang Yang:
Learning hierarchical task network domains from partially observed plan traces. Artif. Intell. 212: 134-157 (2014) - 2013
- [c16]Hankz Hankui Zhuo, Tuan Anh Nguyen, Subbarao Kambhampati:
Model-Lite Case-Based Planning. AAAI 2013: 1077-1083 - [c15]Yueyun Jin, Weilin Zeng, Hankz Hankui Zhuo, Lei Li:
Ensemble of Unsupervised and Supervised Models with Different Label Spaces. ADMA (2) 2013: 466-477 - [c14]Kartik Talamadupula, Subbarao Kambhampati, Yuheng Hu, Tuan Anh Nguyen, Hankz Hankui Zhuo:
Herding the Crowd: Automated Planning for Crowdsourced Planning. HCOMP (Works in Progress / Demos) 2013 - [c13]Hankz Hankui Zhuo, Subbarao Kambhampati:
Action-Model Acquisition from Noisy Plan Traces. IJCAI 2013: 2444-2450 - [c12]Hankz Hankui Zhuo, Tuan Anh Nguyen, Subbarao Kambhampati:
Refining Incomplete Planning Domain Models Through Plan Traces. IJCAI 2013: 2451-2458 - 2012
- [c11]Hankz Hankui Zhuo, Qiang Yang, Subbarao Kambhampati:
Action-Model Based Multi-agent Plan Recognition. NIPS 2012: 377-385 - [i1]Hankz Hankui Zhuo, Subbarao Kambhampati, Tuan Anh Nguyen:
Model-Lite Case-Based Planning. CoRR abs/1207.6713 (2012) - 2011
- [j2]Qiang Yang, Vincent Wenchen Zheng, Bin Li, Hankz Hankui Zhuo:
Transfer Learning by Reusing Structured Knowledge. AI Mag. 32(2): 95-106 (2011) - [c10]Hankz Hankui Zhuo, Qiang Yang, Rong Pan, Lei Li:
Cross-Domain Action-Model Acquisition for Planning via Web Search. ICAPS 2011 - [c9]Hankz Hankui Zhuo, Hector Muñoz-Avila, Qiang Yang:
Learning action models for multi-agent planning. AAMAS 2011: 217-224 - [c8]Hankz Hankui Zhuo, Lei Li:
Multi-Agent Plan Recognition with Partial Team Traces and Plan Libraries. IJCAI 2011: 484-489 - [c7]Jie Gao, Hankz Hankui Zhuo, Daojun Han, Lei Li:
Learning action models with indeterminate effects. SEKE 2011: 159-162 - 2010
- [j1]Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu, Lei Li:
Learning complex action models with quantifiers and logical implications. Artif. Intell. 174(18): 1540-1569 (2010)
2000 – 2009
- 2009
- [c6]Hankui Zhuo, Qiang Yang, Lei Li:
Constraint-Based Case-Based Planning Using Weighted MAX-SAT. ICCBR 2009: 374-388 - [c5]Hankz Hankui Zhuo, Derek Hao Hu, Chad Hogg, Qiang Yang, Hector Muñoz-Avila:
Learning HTN Method Preconditions and Action Models from Partial Observations. IJCAI 2009: 1804-1810 - [c4]Hankui Zhuo, Qiang Yang, Lei Li:
Transfer Learning Action Models by Measuring the Similarity of Different Domains. PAKDD 2009: 697-704 - 2008
- [c3]Hankui Zhuo, Lei Li, Qiang Yang, Rui Bian:
Learning Action Models with Quantified Conditional Effects for Software Requirement Specification. ICIC (1) 2008: 874-881 - [c2]Hankui Zhuo, Qiang Yang, Derek Hao Hu, Lei Li:
Transferring Knowledge from Another Domain for Learning Action Models. PRICAI 2008: 1110-1115 - 2007
- [c1]Hankui Zhuo, Lei Li, Rui Bian, Hai Wan:
Requirement Specification Based on Action Model Learning. ICIC (1) 2007: 565-574
Coauthor Index
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