Wenjing Yang

Orcid: 0000-0002-6997-0406

Affiliations:
  • National University of Defense Technology, State Key Laboratory of High Performance Computing, China


According to our database1, Wenjing Yang authored at least 65 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Out-of-Distribution Generalization With Causal Feature Separation.
IEEE Trans. Knowl. Data Eng., April, 2024

Boosting Few-shot Object Detection with Discriminative Representation and Class Margin.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Multiview Deep Anomaly Detection: A Systematic Exploration.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Credit assignment for trained neural networks based on Koopman operator theory.
Frontiers Comput. Sci., February, 2024

DBTN: An adaptive neural network for multiple-disease detection via imbalanced medical images distribution.
Appl. Intell., 2024

Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Recent Advances for Quantum Neural Networks in Generative Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Towards robust neural networks via a global and monotonically decreasing robustness training strategy.
Frontiers Inf. Technol. Electron. Eng., October, 2023

Self-aware circular response-guided attention for robust siamese tracking.
Appl. Intell., June, 2023

EAFP-Med: An Efficient Adaptive Feature Processing Module Based on Prompts for Medical Image Detection.
CoRR, 2023

Verifying Safety of Neural Networks from Topological Perspectives.
CoRR, 2023

Repairing Deep Neural Networks Based on Behavior Imitation.
CoRR, 2023

Safety Verification for Neural Networks Based on Set-Boundary Analysis.
Proceedings of the Theoretical Aspects of Software Engineering, 2023

SODA: Robust Training of Test-Time Data Adaptors.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Treatment Effect Estimation with Adjustment Feature Selection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Evolving Physical Instinct for Morphology and Control Co-Adaption.
IROS, 2023

Task2Morph: Differentiable Task-Inspired Framework for Contact-Aware Robot Design.
IROS, 2023

GANet: Goal Area Network for Motion Forecasting.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Memory-based Exploration-value Evaluation Model for Visual Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Geometrical Characterization on Feature Density of Image Datasets.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Domain Specified Optimization for Deployment Authorization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Decomposition, Interaction, Reconstruction Meets Global Context Learning In Visual Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Perception Learning for Distribution Modulation in Siamese Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2023

Enhanced Dcf Tracker Regularized by Reliable Sample Construction.
Proceedings of the IEEE International Conference on Acoustics, 2023

PEPC: Parallel and Extensible PC Implementation for Causal Structure Learning.
Proceedings of the 7th International Conference on High Performance Compilation, 2023

2022
Heterogeneous Pseudo-Supervised Learning for Few-shot Person Re-Identification.
Neural Networks, 2022

RepSSRN: The Structural Reparameterization Applied to SSRN for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Estimating Individualized Causal Effect with Confounded Instruments.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FAFMOTS: A Fast and Anchor Free Method for Online Joint Multi-Object Tracking and Segmentation.
Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022

Placement Optimization for UAV-Enabled Wireless Networks with Multi-Hop Backhauls in Urban Environments.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

Meta Discovery: Learning to Discover Novel Classes given Very Limited Data.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
A Lightweight 1-D Convolution Augmented Transformer with Metric Learning for Hyperspectral Image Classification.
Sensors, 2021

A robust quadruple adaptation network in few-shot scenarios.
Knowl. Based Syst., 2021

Role-based attention in deep reinforcement learning for games.
Comput. Animat. Virtual Worlds, 2021

Meta Discovery: Learning to Discover Novel Classes given Very Limited Data.
CoRR, 2021

ANF: Attention-Based Noise Filtering Strategy for Unsupervised Few-Shot Classification.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Graph Adversarial Self-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Conditional Variational Capsule Network for Open Set Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

BT Expansion: a Sound and Complete Algorithm for Behavior Planning of Intelligent Robots with Behavior Trees.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning Capsules for SAR Target Recognition.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

One-shot video-based person re-identification with variance subsampling algorithm.
Comput. Animat. Virtual Worlds, 2020

Pairwise Similarity Regularization for Adversarial Domain Adaptation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Robust Normalized Squares Maximization for Unsupervised Domain Adaptation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Cauchy sparse NMF with manifold regularization: A robust method for hyperspectral unmixing.
Knowl. Based Syst., 2019

Rademacher dropout: An adaptive dropout for deep neural network via optimizing generalization gap.
Neurocomputing, 2019

Person Re-Identification Based on Multi-Parts of Local Feature Network.
IEEE Access, 2019

An Optimized Coordination Approach for Multi-robot Systems Considering Connectivity Maintenance.
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

Integrating Decision Sharing with Prediction in Decentralized Planning for Multi-Agent Coordination under Uncertainty.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Parallel Gym Gazebo: a Scalable Parallel Robot Deep Reinforcement Learning Platform.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Non-Convex Transfer Subspace Learning for Unsupervised Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

TMDA: Task-Specific Multi-source Domain Adaptation via Clustering Embedded Adversarial Training.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Deep CNN-based Visual Target Tracking System Relying on Monocular Image Sensing.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multi-feature Fusion for Deep Reinforcement Learning: Sequential Control of Mobile Robots.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

MulAttenRec: A Multi-level Attention-Based Model for Recommendation.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A research on metric learning in computer vision and pattern recognition.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

A Layered Communication Optimization Method Based on OpenFOAM.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

High-Performance Implementation of Matrix-Free Runge-Kutta Discontinuous Galerkin Method for Euler Equations.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Formation Control and Collision Avoidance of Multi-agent System with Switching Communication Topology.
Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018

2017
Real-time globally consistent 3D grid mapping.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

A Parallel RBF Mesh Deformation Method with Multi-greedy Algorithm in OpenFOAM.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

End-to-End Visual Target Tracking in Multi-robot Systems Based on Deep Convolutional Neural Network.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017


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