Hankz Hankui Zhuo

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 62

Top Topics

Reinforcement Learning

Vector Representation

Tacit Knowledge

Infrared Sensors

Top Venues

Publications

Yingkai Xiao, Kebing Jin, Renyong Ma, Hankz Hankui Zhuo
Large-Scale Electroplating Scheduling: A Hierarchical Temporal Planning Approach. ICIC (LNAI 5) (2024)
Hankz Hankui Zhuo, Xin Chen, Rong Pan
On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs. CoRR (2024)
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 (2023)
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 (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. CoRR (2023)
Weixin Wu, Hankz Hankui Zhuo
DPBERT: Efficient Inference for BERT Based on Dynamic Planning. ECAI (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. CoRR (2023)
Yingkai Xiao, Jingjin Liu, Hankz Hankui Zhuo
BalMCTS: Balancing Objective Function and Search Nodes in MCTS for Constraint Optimization Problems. CoRR (2023)
Fan Zhang, Kebing Jin, Hankz Hankui Zhuo
Planning with Logical Graph-based Language Model for Instruction Generation. CoRR (2023)
Zhanwen Zhou, Hankz Hankui Zhuo, Xiaowu Zhang, Qiyuan Deng
XRoute Environment: A Novel Reinforcement Learning Environment for Routing. CoRR (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)
Benbo Zha, Hong Shen, Hankz Hankui Zhuo, Zhijian Luo
Clustering based Probabilistic I/O Scheduling for Burst-Buffers Equipped HPC. PAAP (2023)
Chao Yu, Xuejing Zheng, Hankz Hankui Zhuo, Hai Wan, Weilin Luo
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey. CoRR (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)
Weixin Wu, Hankz Hankui Zhuo
DPBERT: Efficient Inference for BERT based on Dynamic Planning. CoRR (2023)
Kebing Jin, Yingkai Xiao, Hankz Hankui Zhuo, Renyong Ma
A Hierarchical Temporal Planning-Based Approach for Dynamic Hoist Scheduling Problems. CoRR (2022)
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)
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)
Kebing Jin, Huaixun Chen, Hankz Hankui Zhuo
Text-Based Action-Model Acquisition for Planning. CoRR (2022)
Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati
Gradient-based mixed planning with symbolic and numeric action parameters. Artif. Intell. 313 (2022)
Kebing Jin, Hankz Hankui Zhuo
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge. CoRR (2022)
Kebing Jin, Zhanhao Xiao, Hankz Hankui Zhuo, Hai Wan, Jiaran Cai
Learning Visual Planning Models from Partially Observed Images. CoRR (2022)
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 (2022)
Yuechang Liu, Dongbo Xie, Hankz Hankui Zhuo, Liqian Lai, Zhimin Li
Temporal Planning-Based Choreography from Music. ChineseCSCW (2) (2022)
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)
Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati
Gradient-Based Mixed Planning with Discrete and Continuous Actions. CoRR (2021)
Siqi Hong, Hankz Hankui Zhuo, Kebing Jin, Zhanwen Zhou
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search. CoRR (2021)
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 (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 (2021)
Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
Coordinated Proximal Policy Optimization. NeurIPS (2021)
Xuejing Zheng, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines. CoRR (2021)
Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, Haiyin Piao, Hankz Hankui Zhuo
Coordinated Proximal Policy Optimization. CoRR (2021)
Ziqi Sheng, Kebing Jin, Zhihao Ma, Hankz Hankui Zhuo
Action Generative Networks Planning for Deformable Object with Raw Observations. Sensors 21 (13) (2021)
Yuechang Liu, Dongbo Xie, Hankz Hankui Zhuo, Liqian Lai
Plan2Dance: Planning Based Choreographing from Music. AAAI (2020)
Huiling Zhu, Xin Luo, Hankz Hankui Zhuo
Dual Graph Representation Learning. CoRR (2020)
Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan
Transfer Value Iteration Networks. AAAI (2020)
Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati, Xin Tian
Discovering Underlying Plans Based on Shallow Models. ACM Trans. Intell. Syst. Technol. 11 (2) (2020)
Zhanhao Xiao, Hai Wan, Hankz Hankui Zhuo, Andreas Herzig, Laurent Perrussel, Peilin Chen
Refining HTN Methods via Task Insertion with Preferences. AAAI (2020)
Hankz Hankui Zhuo
Recognizing Multi-Agent Plans When Action Models and Team Plans Are Both Incomplete. ACM Trans. Intell. Syst. Technol. 10 (3) (2019)
Hankz Hankui Zhuo, Wenfeng Feng, Qian Xu, Qiang Yang, Yufeng Lin
Federated Reinforcement Learning. CoRR (2019)
Zhanhao Xiao, Hai Wan, Hankz Hankui Zhuo, Jinxia Lin, Yanan Liu
Representation Learning for Classical Planning from Partially Observed Traces. CoRR (2019)
Zhanhao Xiao, Hai Wan, Hankz Hankui Zhuo, Andreas Herzig, Laurent Perrussel, Peilin Chen
Refining HTN Methods via Task Insertion with Preferences. CoRR (2019)
Hankz Hankui Zhuo, Jing Peng, Subbarao Kambhampati
Learning Action Models from Disordered and Noisy Plan Traces. CoRR (2019)
Min Tang, Jiaran Cai, Hankz Hankui Zhuo
Multi-Matching Network for Multiple Choice Reading Comprehension. AAAI (2019)
Junyi Shen, Hankz Hankui Zhuo, Jin Xu, Bin Zhong, Sinno Jialin Pan
Transfer Value Iteration Networks. CoRR (2019)
Xinghua Zheng, Ming Tang, Hankz Hankui Zhuo, Kevin X. Wen
Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems. CoRR (2019)
Feng Liao, Hankz Hankui Zhuo, Xiaoling Huang, Yu Zhang
Federated Hierarchical Hybrid Networks for Clickbait Detection. CoRR (2019)
Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning. IJCAI (2018)
Yuncong Li, Hankz Hankui Zhuo
An Integrated Development Environment for Planning Domain Modeling. CoRR (2018)
Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati
Discovering Underlying Plans Based on Shallow Models. CoRR (2018)
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)
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)
Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning. CoRR (2018)
Chuantao Zong, Wenfeng Feng, Vincent W. Zheng, Hankz Hankui Zhuo
Adaptive Attention Network for Review Sentiment Classification. PAKDD (1) (2018)
Yu Zhang, Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, Hankz Hankui Zhuo, Subbarao Kambhampati
Plan explicability and predictability for robot task planning. ICRA (2017)
Han Tian, Hankz Hankui Zhuo
Paper2vec: Citation-Context Based Document Distributed Representation for Scholar Recommendation. CoRR (2017)
Jarvan Law, Hankz Hankui Zhuo, Junhua He, Erhu Rong
LTSG: Latent Topical Skip-Gram for Mutually Learning Topic Model and Vector Representations. CoRR (2017)
Hankz Hankui Zhuo, Subbarao Kambhampati
Model-lite planning: Case-based vs. model-based approaches. Artif. Intell. 246 (2017)
Junhua He, Hankz Hankui Zhuo, Jarvan Law
Distributed-Representation Based Hybrid Recommender System with Short Item Descriptions. CoRR (2017)
Hankz Hankui Zhuo
Human-Aware Plan Recognition. AAAI (2017)
Xin Tian, Hankz Hankui Zhuo, Subbarao Kambhampati
Discovering Underlying Plans Based on Distributed Representations of Actions. AAMAS (2016)
Xiaomu Luo, Huoyuan Tan, Qiuju Guan, Tong Liu, Hankz Hankui Zhuo, Baihua Shen
Abnormal Activity Detection Using Pyroelectric Infrared Sensors. Sensors 16 (6) (2016)
Yu Zhang, Hankz Hankui Zhuo, Subbarao Kambhampati
Plan Explainability and Predictability for Cobots. CoRR (2015)
Xin Tian, Hankz Hankui Zhuo, Subbarao Kambhampati
Discovering Underlying Plans Based on Distributed Representations of Actions. CoRR (2015)
Jie Gao, Hankz Hankui Zhuo, Subbarao Kambhampati, Lei Li
Acquiring Planning Knowledge via Crowdsourcing. HCOMP (2015)
Hankz Hankui Zhuo
Crowdsourced Action-Model Acquisition for Planning. AAAI (2015)
Hankz Hankui Zhuo, Qiang Yang
Action-model acquisition for planning via transfer learning. Artif. Intell. 212 (2014)
Hankz Hankui Zhuo, Héctor Muñoz-Avila, Qiang Yang
Learning hierarchical task network domains from partially observed plan traces. Artif. Intell. 212 (2014)
Hankz Hankui Zhuo, Tuan Anh Nguyen, Subbarao Kambhampati
Model-Lite Case-Based Planning. AAAI (2013)
Hankz Hankui Zhuo, Subbarao Kambhampati
Action-Model Acquisition from Noisy Plan Traces. IJCAI (2013)
Yueyun Jin, Weilin Zeng, Hankz Hankui Zhuo, Lei Li
Ensemble of Unsupervised and Supervised Models with Different Label Spaces. ADMA (2) (2013)
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)
Hankz Hankui Zhuo, Tuan Anh Nguyen, Subbarao Kambhampati
Refining Incomplete Planning Domain Models Through Plan Traces. IJCAI (2013)
Hankz Hankui Zhuo, Qiang Yang, Subbarao Kambhampati
Action-Model Based Multi-agent Plan Recognition. NIPS (2012)
Hankz Hankui Zhuo, Subbarao Kambhampati, Tuan Anh Nguyen
Model-Lite Case-Based Planning CoRR (2012)
Hankz Hankui Zhuo, Lei Li
Multi-Agent Plan Recognition with Partial Team Traces and Plan Libraries. IJCAI (2011)
Jie Gao, Hankz Hankui Zhuo, Daojun Han, Lei Li
Learning action models with indeterminate effects. SEKE (2011)
Qiang Yang, Vincent Wenchen Zheng, Bin Li, Hankz Hankui Zhuo
Transfer Learning by Reusing Structured Knowledge. AI Mag. 32 (2) (2011)
Hankz Hankui Zhuo, Hector Muñoz-Avila, Qiang Yang
Learning action models for multi-agent planning. AAMAS (2011)
Hankz Hankui Zhuo, Qiang Yang, Rong Pan, Lei Li
Cross-Domain Action-Model Acquisition for Planning via Web Search. ICAPS (2011)
Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu, Lei Li
Learning complex action models with quantifiers and logical implications. Artif. Intell. 174 (18) (2010)
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)