Hankui Zhuo

According to our database1, Hankui Zhuo authored at least 76 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Unit middleware for implementation of human-machine interconnection intelligent ecology construction.
J. Big Data, December, 2023

BalMCTS: Balancing Objective Function and Search Nodes in MCTS for Constraint Optimization Problems.
CoRR, 2023

Planning with Logical Graph-based Language Model for Instruction Generation.
CoRR, 2023

Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2023

Sequential Condition Evolved Interaction Knowledge Graph for Traditional Chinese Medicine Recommendation.
CoRR, 2023

XRoute Environment: A Novel Reinforcement Learning Environment for Routing.
CoRR, 2023

Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey.
CoRR, 2023

Clustering based Probabilistic I/O Scheduling for Burst-Buffers Equipped HPC.
Proceedings of the 14th IEEE International Symposium on Parallel Architectures, 2023

Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

DPBERT: Efficient Inference for BERT Based on Dynamic Planning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Hierarchical Temporal Planning-Based Approach for Dynamic Hoist Scheduling Problems.
CoRR, 2022

Learning Visual Planning Models from Partially Observed Images.
CoRR, 2022

Text-Based Action-Model Acquisition for Planning.
CoRR, 2022

Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge.
CoRR, 2022

Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition.
CoRR, 2022

Gradient-based mixed planning with symbolic and numeric action parameters.
Artif. Intell., 2022

Semantic IR fused Heterogeneous Graph Model in Tag-based Video Search.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Action Generative Networks Planning for Deformable Object with Raw Observations.
Sensors, 2021

Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search.
CoRR, 2021

Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines.
CoRR, 2021

Gradient-Based Mixed Planning with Discrete and Continuous Actions.
CoRR, 2021

Learning Symbolic Rules for Interpretable Deep Reinforcement Learning.
CoRR, 2021

Coordinated Proximal Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Discovering Underlying Plans Based on Shallow Models.
ACM Trans. Intell. Syst. Technol., 2020

Dual Graph Representation Learning.
CoRR, 2020

Refining HTN Methods via Task Insertion with Preferences.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Transfer Value Iteration Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Plan2Dance: Planning Based Choreographing from Music.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems.
CoRR, 2019

Learning Action Models from Disordered and Noisy Plan Traces.
CoRR, 2019

Representation Learning for Classical Planning from Partially Observed Traces.
CoRR, 2019

Federated Hierarchical Hybrid Networks for Clickbait Detection.
CoRR, 2019

Federated Reinforcement Learning.
CoRR, 2019

Multi-Matching Network for Multiple Choice Reading Comprehension.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
An Integrated Development Environment for Planning Domain Modeling.
CoRR, 2018

Discovering Underlying Plans Based on Shallow Models.
CoRR, 2018

LTSG: Latent Topical Skip-Gram for Mutually Improving Topic Model and Vector Representations.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Adaptive Attention Network for Review Sentiment Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Embedding Knowledge Graphs Based on Transitivity and Asymmetry of Rules.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Extracting Action Sequences from Texts Based on Deep Reinforcement Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Paper2vec: Citation-Context Based Document Distributed Representation for Scholar Recommendation.
CoRR, 2017

LTSG: Latent Topical Skip-Gram for Mutually Learning Topic Model and Vector Representations.
CoRR, 2017

Distributed-Representation Based Hybrid Recommender System with Short Item Descriptions.
CoRR, 2017

Model-lite planning: Case-based vs. model-based approaches.
Artif. Intell., 2017

Plan explicability and predictability for robot task planning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Human-Aware Plan Recognition.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Abnormal Activity Detection Using Pyroelectric Infrared Sensors.
Sensors, 2016

Discovering Underlying Plans Based on Distributed Representations of Actions.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Plan Explainability and Predictability for Cobots.
CoRR, 2015

Acquiring Planning Knowledge via Crowdsourcing.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

Crowdsourced Action-Model Acquisition for Planning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Learning hierarchical task network domains from partially observed plan traces.
Artif. Intell., 2014

Action-model acquisition for planning via transfer learning.
Artif. Intell., 2014

2013
Refining Incomplete Planning Domain Models Through Plan Traces.
Proceedings of the IJCAI 2013, 2013

Action-Model Acquisition from Noisy Plan Traces.
Proceedings of the IJCAI 2013, 2013

Herding the Crowd: Automated Planning for Crowdsourced Planning.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

Ensemble of Unsupervised and Supervised Models with Different Label Spaces.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

Model-Lite Case-Based Planning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Action-Model Based Multi-agent Plan Recognition.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Transfer Learning by Reusing Structured Knowledge.
AI Mag., 2011

Learning action models with indeterminate effects.
Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011

Multi-Agent Plan Recognition with Partial Team Traces and Plan Libraries.
Proceedings of the IJCAI 2011, 2011

Learning action models for multi-agent planning.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Cross-Domain Action-Model Acquisition for Planning via Web Search.
Proceedings of the 21st International Conference on Automated Planning and Scheduling, 2011

2010
Learning complex action models with quantifiers and logical implications.
Artif. Intell., 2010

2009
Transfer Learning Action Models by Measuring the Similarity of Different Domains.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Learning HTN Method Preconditions and Action Models from Partial Observations.
Proceedings of the IJCAI 2009, 2009

Constraint-Based Case-Based Planning Using Weighted MAX-SAT.
Proceedings of the Case-Based Reasoning Research and Development, 2009

2008
Transferring Knowledge from Another Domain for Learning Action Models.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Learning Action Models with Quantified Conditional Effects for Software Requirement Specification.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

2007
Requirement Specification Based on Action Model Learning.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2007


  Loading...