Junge Zhang

Orcid: 0000-0002-9970-394X

According to our database1, Junge Zhang authored at least 101 papers between 2011 and 2024.

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Bibliography

2024
Contrastive Correlation Preserving Replay for Online Continual Learning.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation.
CoRR, 2024

Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models.
CoRR, 2024

Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges.
CoRR, 2024

NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ProAgent: Building Proactive Cooperative Agents with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Direction-aware attention aggregation for single-stage hazy-weather crowd counting.
Expert Syst. Appl., September, 2023

Squeezing More Past Knowledge for Online Class-Incremental Continual Learning.
IEEE CAA J. Autom. Sinica, March, 2023

CSA-Net: Cross-modal scale-aware attention-aggregated network for RGB-T crowd counting.
Expert Syst. Appl., 2023

PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning.
CoRR, 2023

Benchmarking Continual Learning from Cognitive Perspectives.
CoRR, 2023

ProAgent: Building Proactive Cooperative AI with Large Language Models.
CoRR, 2023

NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields.
CoRR, 2023

Dynamic Equilibrium-Based Continual Learning Model with Disentangled Meta-features.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Neural Text Classification by Jointly Learning to Cluster and Align.
Proceedings of the International Joint Conference on Neural Networks, 2023

Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

S-NeRF: Neural Radiance Fields for Street Views.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Improved Training Of Mixture-Of-Experts Language GANs.
Proceedings of the IEEE International Conference on Acoustics, 2023

Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Prioritized Tasks Mining for Multi-Task Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Learning Individual Difference Rewards in Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games.
IEEE Trans. Games, 2022

Offline reinforcement learning with representations for actions.
Inf. Sci., 2022

Transformer in Transformer as Backbone for Deep Reinforcement Learning.
CoRR, 2022

Delving into Transformer for Incremental Semantic Segmentation.
CoRR, 2022

Softmax-free Linear Transformers.
CoRR, 2022

DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for Imperfect-Information Games.
CoRR, 2022

FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2022

RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Learning Macromanagement in Starcraft by Deep Reinforcement Learning.
Sensors, 2021

Universal adversarial perturbations against object detection.
Pattern Recognit., 2021

The Partially Observable Asynchronous Multi-Agent Cooperation Challenge.
CoRR, 2021

Consistency Regularization for Ensemble Model Based Reinforcement Learning.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

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

SOFT: Softmax-free Transformer with Linear Complexity.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Counter-Contrastive Learning for Language GANs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning.
CoRR, 2020

Learning to Learn Cropping Models for Different Aspect Ratio Requirements.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Composing Good Shots by Exploiting Mutual Relations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Opponent Strategy Recognition In Real Time Strategy Game Using Deep Feature Fusion Neural Network.
Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2019
Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping.
IEEE Trans. Image Process., 2019

Multi-view clustering via joint feature selection and partially constrained cluster label learning.
Pattern Recognit., 2019

Mixed Supervised Object Detection with Robust Objectness Transfer.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Point Cloud Super Resolution with Adversarial Residual Graph Networks.
CoRR, 2019

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
CoRR, 2019

Semi-supervised Lesion Detection with Reliable Label Propagation and Missing Label Mining.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Transductive Zero-Shot Learning with Visual Structure Constraint.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

GP-GAN: Towards Realistic High-Resolution Image Blending.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

SparseMask: Differentiable Connectivity Learning for Dense Image Prediction.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Few-Shot Image Recognition With Knowledge Transfer.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Transductive Zero-Shot Learning via Visual Center Adaptation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Energy efficiency of heterogeneous multicore system based on the enhanced Amdahl's law.
Int. J. High Perform. Comput. Netw., 2018

ACM: Learning Dynamic Multi-agent Cooperation via Attentional Communication Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Fast End-to-End Trainable Guided Filter.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Discriminative Learning of Latent Features for Zero-Shot Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

DF<sup>2</sup>Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Deep Semantic Structural Constraints for Zero-Shot Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
ORGM: Occlusion Relational Graphical Model for Human Pose Estimation.
IEEE Trans. Image Process., 2017

GRMA: Generalized Range Move Algorithms for the Efficient Optimization of MRFs.
Int. J. Comput. Vis., 2017

Local structured representation for generic object detection.
Frontiers Comput. Sci., 2017

MSC: A Dataset for Macro-Management in StarCraft II.
CoRR, 2017

A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping.
CoRR, 2017

Semantics-guided multi-level RGB-D feature fusion for indoor semantic segmentation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Encyclopedia enhanced semantic embedding for zero-shot learning.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

CNet: Context-Aware Network for Semantic Segmentation.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Reevaluating the overhead of data preparation for asymmetric multicore system on graphics processing.
KSII Trans. Internet Inf. Syst., 2016

FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of 2D Label MRFs.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Large-Scale Weakly Supervised Object Localization via Latent Category Learning.
IEEE Trans. Image Process., 2015

ISEE Smart Home (ISH): Smart video analysis for home security.
Neurocomputing, 2015

Context aware model for articulated human pose estimation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Performance-energy efficiency model of heterogeneous parallel multicore system.
Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015

GRSA: Generalized range swap algorithm for the efficient optimization of MRFs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Mirrored non-maximum suppression for accurate object part localization.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014
Robust Object Recognition via Visual Pathway Feedback.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Improved Optimization Based on Graph Cuts for Discrete Energy Minimization.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Deformable Object Matching via Deformation Decomposition Based 2D Label MRF.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Exploring the Power of Kernel in Feature Representation for Object Categorization.
Proceedings of the Neural Information Processing - 20th International Conference, 2013


An Adaptive Combination of Multiple Features for Robust Tracking in Real Scene.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Recent Progress on Object Classification and Detection.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Optimal Design of the Absolute Positioning Sensor for a High-Speed Maglev Train and Research on Its Fault Diagnosis.
Sensors, 2012

Semantic windows mining in sliding window based object detection.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Interest Point Selection with Spatio-temporal Context for Realistic Action Recognition.
Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

Data Decomposition and Spatial Mixture Modeling for Part Based Model.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Robust view transformation model for gait recognition.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Boosted local structured HOG-LBP for object localization.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

An empirical study of visual features for part based model.
Proceedings of the First Asian Conference on Pattern Recognition, 2011


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