Requirement Specification Based on Action Model Learning. - Hankui Zhuo; Lei Li 022; Rui Bian; Hai Wan (ICIC (1), 2007)

Learning Action Models with Quantified Conditional Effects for Software Requirement Specification. - Hankui Zhuo; Lei Li 022; Qiang Yang 001; Rui Bian (ICIC (1), 2008)

Transferring Knowledge from Another Domain for Learning Action Models. - Hankui Zhuo; Qiang Yang 001; Derek Hao Hu; Lei Li 022 (PRICAI, 2008)

Constraint-Based Case-Based Planning Using Weighted MAX-SAT. - Hankui Zhuo; Qiang Yang 001; Lei Li 022 (ICCBR, 2009)

Learning HTN Method Preconditions and Action Models from Partial Observations. - Hankz Hankui Zhuo; Derek Hao Hu; Chad Hogg; Qiang Yang 001; Hector Muñoz-Avila (IJCAI, 2009)

Transfer Learning Action Models by Measuring the Similarity of Different Domains. - Hankui Zhuo; Qiang Yang 001; Lei Li 022 (PAKDD, 2009)

Learning complex action models with quantifiers and logical implications. - Hankz Hankui Zhuo; Qiang Yang 001; Derek Hao Hu; Lei Li 022 (Artif. Intell., 2010)

Cross-Domain Action-Model Acquisition for Planning via Web Search. - Hankz Hankui Zhuo; Qiang Yang 001; Rong Pan; Lei Li 022 (ICAPS, 2011)

Learning action models for multi-agent planning. - Hankz Hankui Zhuo; Hector Muñoz-Avila; Qiang Yang 001 (AAMAS, 2011)

Multi-Agent Plan Recognition with Partial Team Traces and Plan Libraries. - Hankz Hankui Zhuo; Lei Li 022 (IJCAI, 2011)

Learning action models with indeterminate effects. - Jie Gao; Hankz Hankui Zhuo; Daojun Han; Lei Li 022 (SEKE, 2011)

Transfer Learning by Reusing Structured Knowledge. - Qiang Yang 001; Vincent Wenchen Zheng; Bin Li 015; Hankz Hankui Zhuo (AI Mag., 2011)

Action-Model Based Multi-agent Plan Recognition. - Hankz Hankui Zhuo; Qiang Yang 001; Subbarao Kambhampati (NIPS, 2012)

Model-Lite Case-Based Planning. - Hankz Hankui Zhuo; Tuan Anh Nguyen 001; Subbarao Kambhampati (AAAI, 2013)

Ensemble of Unsupervised and Supervised Models with Different Label Spaces. - Yueyun Jin; Weilin Zeng; Hankz Hankui Zhuo; Lei Li 022 (ADMA (2), 2013)

Herding the Crowd: Automated Planning for Crowdsourced Planning. - Kartik Talamadupula; Subbarao Kambhampati; Yuheng Hu; Tuan Anh Nguyen 001; Hankz Hankui Zhuo (HCOMP (Works in Progress / Demos), 2013)

Action-Model Acquisition from Noisy Plan Traces. - Hankz Hankui Zhuo; Subbarao Kambhampati (IJCAI, 2013)

Refining Incomplete Planning Domain Models Through Plan Traces. - Hankz Hankui Zhuo; Tuan Anh Nguyen 001; Subbarao Kambhampati (IJCAI, 2013)

Action-model acquisition for planning via transfer learning. - Hankz Hankui Zhuo; Qiang Yang 001 (Artif. Intell., 2014)

Learning hierarchical task network domains from partially observed plan traces. - Hankz Hankui Zhuo; Héctor Muñoz-Avila; Qiang Yang 001 (Artif. Intell., 2014)

Crowdsourced Action-Model Acquisition for Planning. - Hankz Hankui Zhuo (AAAI, 2015)

Acquiring Planning Knowledge via Crowdsourcing. - Jie Gao; Hankz Hankui Zhuo; Subbarao Kambhampati; Lei Li 022 (HCOMP, 2015)

Plan Explainability and Predictability for Cobots. - Yu Zhang 055; Hankz Hankui Zhuo; Subbarao Kambhampati (CoRR, 2015)

Discovering Underlying Plans Based on Distributed Representations of Actions. - Xin Tian; Hankz Hankui Zhuo; Subbarao Kambhampati (AAMAS, 2016)

Abnormal Activity Detection Using Pyroelectric Infrared Sensors. - Xiaomu Luo; Huoyuan Tan; Qiuju Guan; Tong Liu 002; Hankz Hankui Zhuo; Baihua Shen (Sensors, 2016)

Human-Aware Plan Recognition. - Hankz Hankui Zhuo (AAAI, 2017)

Plan explicability and predictability for robot task planning. - Yu Zhang 055; Sarath Sreedharan; Anagha Kulkarni 002; Tathagata Chakraborti; Hankz Hankui Zhuo; Subbarao Kambhampati (ICRA, 2017)

Model-lite planning: Case-based vs. model-based approaches. - Hankz Hankui Zhuo; Subbarao Kambhampati (Artif. Intell., 2017)

Distributed-Representation Based Hybrid Recommender System with Short Item Descriptions. - Junhua He; Hankz Hankui Zhuo; Jarvan Law (CoRR, 2017)

LTSG: Latent Topical Skip-Gram for Mutually Learning Topic Model and Vector Representations. - Jarvan Law; Hankz Hankui Zhuo; Junhua He; Erhu Rong (CoRR, 2017)

Paper2vec: Citation-Context Based Document Distributed Representation for Scholar Recommendation. - Han Tian; Hankz Hankui Zhuo (CoRR, 2017)

Extracting Action Sequences from Texts Based on Deep Reinforcement Learning. - Wenfeng Feng 001; Hankz Hankui Zhuo; Subbarao Kambhampati (IJCAI, 2018)

Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation. - Mingmin Jin; Xin Luo; Huiling Zhu; Hankz Hankui Zhuo (NAACL-HLT, 2018)

Embedding Knowledge Graphs Based on Transitivity and Asymmetry of Rules. - Mengya Wang; Erhu Rong; Hankui Zhuo; Huiling Zhu (PAKDD (2), 2018)

Adaptive Attention Network for Review Sentiment Classification. - Chuantao Zong; Wenfeng Feng 001; Vincent W. Zheng; Hankz Hankui Zhuo (PAKDD (1), 2018)

LTSG: Latent Topical Skip-Gram for Mutually Improving Topic Model and Vector Representations. - Jarvan Law; Hankz Hankui Zhuo; Junhua He; Erhu Rong (PRCV (3), 2018)

Discovering Underlying Plans Based on Shallow Models. - Hankz Hankui Zhuo; Yantian Zha; Subbarao Kambhampati (CoRR, 2018)

An Integrated Development Environment for Planning Domain Modeling. - Yuncong Li; Hankz Hankui Zhuo (CoRR, 2018)

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

Federated Reinforcement Learning. - Hankz Hankui Zhuo; Wenfeng Feng 001; Qian Xu 005; Qiang Yang 001; Yufeng Lin (CoRR, 2019)

Federated Hierarchical Hybrid Networks for Clickbait Detection. - Feng Liao; Hankz Hankui Zhuo; Xiaoling Huang; Yu Zhang 055 (CoRR, 2019)

Representation Learning for Classical Planning from Partially Observed Traces. - Zhanhao Xiao; Hai Wan; Hankz Hankui Zhuo; Jinxia Lin; Yanan Liu (CoRR, 2019)

Learning Action Models from Disordered and Noisy Plan Traces. - Hankz Hankui Zhuo; Jing Peng; Subbarao Kambhampati (CoRR, 2019)

Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems. - Xinghua Zheng; Ming Tang; Hankz Hankui Zhuo; Kevin X. Wen (CoRR, 2019)

Recognizing Multi-Agent Plans When Action Models and Team Plans Are Both Incomplete. - Hankz Hankui Zhuo (ACM Trans. Intell. Syst. Technol., 2019)

Plan2Dance: Planning Based Choreographing from Music. - Yuechang Liu; Dongbo Xie; Hankz Hankui Zhuo; Liqian Lai (AAAI, 2020)

Transfer Value Iteration Networks. - Junyi Shen; Hankz Hankui Zhuo; Jin Xu; Bin Zhong; Sinno Jialin Pan (AAAI, 2020)

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

Dual Graph Representation Learning. - Huiling Zhu; Xin Luo; Hankz Hankui Zhuo (CoRR, 2020)

Discovering Underlying Plans Based on Shallow Models. - Hankz Hankui Zhuo; Yantian Zha; Subbarao Kambhampati; Xin Tian (ACM Trans. Intell. Syst. Technol., 2020)

Coordinated Proximal Policy Optimization. - Zifan Wu; Chao Yu 004; Deheng Ye; Junge Zhang; Haiyin Piao; Hankz Hankui Zhuo (NeurIPS, 2021)

Learning Symbolic Rules for Interpretable Deep Reinforcement Learning. - Zhihao Ma; Yuzheng Zhuang; Paul Weng; Hankz Hankui Zhuo; Dong Li 016; Wulong Liu; Jianye Hao (CoRR, 2021)

Gradient-Based Mixed Planning with Discrete and Continuous Actions. - Kebing Jin; Hankz Hankui Zhuo; Zhanhao Xiao; Hai Wan; Subbarao Kambhampati (CoRR, 2021)

Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines. - Xuejing Zheng; Chao Yu 004; Chen Chen 077; Jianye Hao; Hankz Hankui Zhuo (CoRR, 2021)

Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search. - Siqi Hong; Hankz Hankui Zhuo; Kebing Jin; Zhanwen Zhou (CoRR, 2021)

Action Generative Networks Planning for Deformable Object with Raw Observations. - Ziqi Sheng; Kebing Jin; Zhihao Ma; Hankz Hankui Zhuo (Sensors, 2021)

Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. - Mu Jin; Zhihao Ma; Kebing Jin; Hankz Hankui Zhuo; Chen Chen 077; Chao Yu 004 (AAAI, 2022)

Temporal Planning-Based Choreography from Music. - Yuechang Liu; Dongbo Xie; Hankz Hankui Zhuo; Liqian Lai; Zhimin Li (ChineseCSCW (2), 2022)

MatricEs: Matrices Embeddings for Link Prediction in Knowledge Graphs. - Huiling Zhu; Liming Gao; Hankui Zhuo (ChineseCSCW (2), 2022)

Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning. - Zifan Wu; Chao Yu 004; Chen Chen 077; Jianye Hao; Hankz Hankui Zhuo (NeurIPS, 2022)

Semantic IR fused Heterogeneous Graph Model in Tag-based Video Search. - Liming Gao; Dongliang Liao; Gongfu Li; Jin Xu; Hankz Hankui Zhuo (WWW (Companion Volume), 2022)

Gradient-based mixed planning with symbolic and numeric action parameters. - Kebing Jin; Hankz Hankui Zhuo; Zhanhao Xiao; Hai Wan; Subbarao Kambhampati (Artif. Intell., 2022)

Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. - Jianye Hao; Jiawen Lu; Xijun Li; Xialiang Tong; Xiang Xiang 001; Mingxuan Yuan; Hankz Hankui Zhuo (CoRR, 2022)

Text-Based Action-Model Acquisition for Planning. - Kebing Jin; Huaixun Chen; Hankz Hankui Zhuo (CoRR, 2022)

Learning Visual Planning Models from Partially Observed Images. - Kebing Jin; Zhanhao Xiao; Hankz Hankui Zhuo; Hai Wan; Jiaran Cai (CoRR, 2022)

A Hierarchical Temporal Planning-Based Approach for Dynamic Hoist Scheduling Problems. - Kebing Jin; Yingkai Xiao; Hankz Hankui Zhuo; Renyong Ma (CoRR, 2022)

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. - Zifan Wu; Chao Yu 004; Chen Chen 077; Jianye Hao; Hankz Hankui Zhuo (AAAI, 2023)

DPBERT: Efficient Inference for BERT Based on Dynamic Planning. - Weixin Wu; Hankz Hankui Zhuo (ECAI, 2023)

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

Clustering based Probabilistic I/O Scheduling for Burst-Buffers Equipped HPC. - Benbo Zha; Hong Shen 001; Hankz Hankui Zhuo; Zhijian Luo (PAAP, 2023)

Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey. - Chao Yu 004; Xuejing Zheng; Hankz Hankui Zhuo; Hai Wan; Weilin Luo (CoRR, 2023)

XRoute Environment: A Novel Reinforcement Learning Environment for Routing. - Zhanwen Zhou; Hankz Hankui Zhuo; Xiaowu Zhang; Qiyuan Deng (CoRR, 2023)

Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation. - Jingjin Liu; Hankz Hankui Zhuo; Kebing Jin; Jiamin Yuan; Zhimin Yang; Zhengan Yao (CoRR, 2023)

Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning. - Xuechen Mu; Hankz Hankui Zhuo; Chen Chen 077; Kai Zhang 012; Chao Yu 004; Jianye Hao (CoRR, 2023)

BalMCTS: Balancing Objective Function and Search Nodes in MCTS for Constraint Optimization Problems. - Yingkai Xiao; Jingjin Liu; Hankz Hankui Zhuo (CoRR, 2023)

Unit middleware for implementation of human-machine interconnection intelligent ecology construction. - Hai-jun Zhang; Ying-hui Chen; Hankui Zhuo (J. Big Data, 2023)

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

Large-Scale Electroplating Scheduling: A Hierarchical Temporal Planning Approach. - Yingkai Xiao; Kebing Jin; Renyong Ma; Hankz Hankui Zhuo (ICIC (LNAI 5), 2024)

On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs. - Hankz Hankui Zhuo; Xin Chen; Rong Pan (CoRR, 2024)

Hierarchical task network-enhanced multi-agent reinforcement learning: Toward efficient cooperative strategies. - Xuechen Mu; Hankz Hankui Zhuo; Chen Chen 077; Kai Zhang 012; Chao Yu 004; Jianye Hao (Neural Networks, 2025)

Parameterized Algorithms for Spanning Tree Isomorphism by Redundant Set Size. - Fangjian Shen; Yicheng Zheng; Wushao Wen; Hankz Hankui Zhuo (CoRR, 2025)

Inspire or Predict? Exploring New Paradigms in Assisting Classical Planners with Large Language Models. - Wenkai Yu; Jianhang Tang; Yang Zhang 025; Shanjiang Tang; Kebing Jin; Hankz Hankui Zhuo (CoRR, 2025)

Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge. - Kebing Jin; Hankz Hankui Zhuo (ACM Trans. Intell. Syst. Technol., 2025)