Zhaopeng Meng

Orcid: 0000-0001-6019-5952

According to our database1, Zhaopeng Meng authored at least 83 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Corrigendum to "Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning" [Knowledge-Based Systems 296 (2024) 111860].
Knowl. Based Syst., 2024

Learning with noisy labels using collaborative sample selection and contrastive semi-supervised learning.
Knowl. Based Syst., 2024

Qibo: A Large Language Model for Traditional Chinese Medicine.
CoRR, 2024

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Delayed rectification of discriminative correlation filters for visual tracking.
Vis. Comput., April, 2023

On better detecting and leveraging noisy samples for learning with severe label noise.
Pattern Recognit., April, 2023

Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration.
CoRR, 2023

HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach.
CoRR, 2023

In-Sample Policy Iteration for Offline Reinforcement Learning.
CoRR, 2023

Reining Generalization in Offline Reinforcement Learning via Representation Distinction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Node-Wise Domain Adaptation Based on Transferable Attention for Recognizing Road Rage via EEG.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
ERL-Re<sup>2</sup>: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation.
CoRR, 2022

Multi-view Stereo Network with Attention Thin Volume.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Free-form tumor synthesis in computed tomography images via richer generative adversarial network.
Knowl. Based Syst., 2021

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images.
Expert Syst. Appl., 2021

Exploration in Deep Reinforcement Learning: A Comprehensive Survey.
CoRR, 2021

Robust resistance to noise and outliers: Screened Poisson Surface Reconstruction using adaptive kernel density estimation.
Comput. Graph., 2021

Cascade knowledge diffusion network for skin lesion diagnosis and segmentation.
Appl. Soft Comput., 2021

Efficient policy detecting and reusing for non-stationarity in Markov games.
Auton. Agents Multi Agent Syst., 2021

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

L-DPSNet: Deep Photometric Stereo Network via Local Diffuse Reflectance Maxima.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Tangible vs. Multi-Touch: Comparing Potential to Enhance Learning for Preschool Children Using Eye-tracking.
Proceedings of the ICHMI 2021: International Conference on Human-Machine Interaction, Guangzhou China, May 7, 2021

Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.
Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Addressing Action Oscillations through Learning Policy Inertia.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Construction of Retinal Vessel Segmentation Models Based on Convolutional Neural Network.
Neural Process. Lett., 2020

Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments.
J. Comput. Sci. Technol., 2020

Fuzzy dynamic timetable scheduling for public transit.
Fuzzy Sets Syst., 2020

What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator.
CoRR, 2020

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework.
CoRR, 2020

Better Together: Shading Cues and Multi-View Stereo for Reconstruction Depth Optimization.
IEEE Access, 2020

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Efficient Deep Reinforcement Learning through Policy Transfer.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
DUNet: A deformable network for retinal vessel segmentation.
Knowl. Based Syst., 2019

LoopFix: an approach to automatic repair of buggy loops.
J. Syst. Softw., 2019

Schedule optimization under fuzzy constraints of vehicle capacity.
Fuzzy Optim. Decis. Mak., 2019

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction.
CoRR, 2019

Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Towards Efficient Detection and Optimal Response against Sophisticated Opponents.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
An Adaptive Markov Strategy for Defending Smart Grid False Data Injection From Malicious Attackers.
IEEE Trans. Smart Grid, 2018

Adaptive Object Tracking via Multi-Angle Analysis Collaboration.
Sensors, 2018

Absolute Measurement of the Refractive Index of Water by a Mode-Locked Laser at 518 nm.
Sensors, 2018

Real-time predication and navigation on traffic congestion model with equilibrium Markov chain.
Int. J. Distributed Sens. Networks, 2018

RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans.
CoRR, 2018

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.
CoRR, 2018

Hierarchical Heuristic Learning towards Effcient Norm Emergence.
CoRR, 2018

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
An interactive visualization approach to the overview of geoscience data.
J. Vis., 2017

SOMR: Towards a Security-Oriented MapReduce Infrastructure.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Preliminary Application of Gesture Recognition to Virtual Acupuncture.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

Dynamic timetable scheduling with reverse-flow technique in fuzzy environment.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

Change Management of ERP Usage.
Proceedings of the Human-Computer Interaction. User Interface Design, Development and Multimodality, 2017

Improvement on Tracking Based on Motion Model and Model Updater.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
Gaussian Process Regression Plus Method for Localization Reliability Improvement.
Sensors, 2016

A Comparative Study of Spreadsheet Applications on Mobile Devices.
Mob. Inf. Syst., 2016

Visual analytics of smogs in China.
J. Vis., 2016

Affective experience modeling based on interactive synergetic dependence in big data.
Future Gener. Comput. Syst., 2016

The indoor NLOS identification on dempster-shafer evidence theory.
Proceedings of the 2nd International Conference on Communication and Information Processing, 2016

Accelerating Norm Emergence Through Hierarchical Heuristic Learning.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Layered modeling and generation of Pollock's drip style.
Vis. Comput., 2015

Handling Neighbor Discovery and Rendezvous Consistency with Weighted Quorum-Based Approach.
Sensors, 2015

Robust visual tracking via online multiple instance learning with Fisher information.
Pattern Recognit., 2015

A Short-Text Oriented Clustering Method for Hot Topics Extraction.
Int. J. Softw. Eng. Knowl. Eng., 2015

Visual analytics for BigData variety and its behaviours.
Comput. Sci. Inf. Syst., 2015

Teaching Information Aesthetics as a Research Class in China.
IEEE Computer Graphics and Applications, 2015

An Interactive Radial Visualization of Geoscience Observation Data.
Proceedings of the 8th International Symposium on Visual Information Communication and Interaction, 2015

2014
Visualization of oceanographic applications using a common data model.
Proceedings of the Symposium on Applied Computing, 2014

Vismate: Interactive visual analysis of station-based observation data on climate changes.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

BigData visualization: Parallel coordinates using density approach.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014

Big Data Density Analytics Using Parallel Coordinate Visualization.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2013
Towards Knowledge Structuring of Sensor Data Based on FCA and Ontology.
Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI 2013), 2013

2010
A New Closeness Metric for Social Networks Based on the k Shortest Paths.
Proceedings of the Advances in Neural Networks, 2010


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