Yue Deng

Orcid: 0000-0003-2871-8922

Affiliations:

Beihang University, School of Astronautics, Science and Technology on Space Intelligent Control Laboratory, Beijing, China
University of California, San Francisco Medical Center, CA, USA
Tsinghua University, Department of Automation, Beijing, China (PhD 2013)
Nanjing University, School of Electronic Science and Engineering, China
Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA (2010-2011)

According to our database¹, Yue Deng authored at least 48 papers between 2009 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Efficient Layer Compression Without Pruning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Toward the Vectorization of Hyperspectral Imagery.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Hyperspectral Image Instance Segmentation Using Spectral-Spatial Feature Pyramid Network.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

ScoreSeg: Leveraging Score-Based Generative Model for Self-Supervised Semantic Segmentation of Remote Sensing.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

DPoser: Diffusion Model as Robust 3D Human Pose Prior.

[BibT_eX]

[DOI]

CoRR, 2023

Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Task-aware world model learning with meta weighting via bi-level optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Deep Kernel-Based Optimal Control Prediction in Aerospace Missions.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2022

Boosting Supervised Dehazing Methods via Bi-level Patch Reweighting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

An Optical Satellite Controller Based on Diffractive Deep Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Human-in-the-Loop Low-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Gated Value Network for Multilabel Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Spacecraft Relative Trajectory Planning Based on Meta-Learning.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2021

An Integral Sliding-Mode Parallel Control Approach for General Nonlinear Systems via Piecewise Affine Linear Models.

[BibT_eX]

[DOI]

CoRR, 2021

2020

A New Concept of Multiple Neural Networks Structure Using Convex Combination.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Learning Deep Landmarks for Imbalanced Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Explaining the Genetic Causality for Complex Phenotype via Deep Association Kernel Learning.

[BibT_eX]

[DOI]

Patterns, 2020

2019

Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction.

[BibT_eX]

[DOI]

Yue Deng

Yilin Shen

Hongxia Jin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Multi-label Prediction for Spoken and Visual Signal Tagging.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

A New Concept of Convex based Multiple Neural Networks Structure.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

ACID: Association Correction for Imbalanced Data in GWAS.

[BibT_eX]

[DOI]

Feng Bao

Yue Deng

Qionghai Dai

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Probabilistic natural mapping of gene-level tests for genome-wide association studies.

[BibT_eX]

[DOI]

Briefings Bioinform., 2018

Interactive recommendation via deep neural memory augmented contextual bandits.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Training Recurrent Neural Network through Moment Matching for NLP Applications.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2018, 2018

Adversarial Active Learning for Sequences Labeling and Generation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2017

Discriminant Kernel Assignment for Image Coding.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Disguise Adversarial Networks for Click-through Rate Prediction.

[BibT_eX]

[DOI]

Yue Deng

Yilin Shen

Hongxia Jin

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Deep and Structured Robust Information Theoretic Learning for Image Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Directed Adaptive Graphical Lasso for causality inference.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Local visual feature fusion via maximum margin multimodal deep neural network.

[BibT_eX]

[DOI]

Zhiquan Ren

Yue Deng

Qionghai Dai

Neurocomputing, 2016

2015

High-dimensional and low-quality visual information processing: from structured sensing and understanding.

[BibT_eX]

[DOI]

Yue Deng

PhD thesis, 2015

Sparse Coding-Inspired Optimal Trading System for HFT Industry.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2015

Discriminative Clustering and Feature Selection for Brain MRI Segmentation.

[BibT_eX]

[DOI]

Youyong Kong

Yue Deng

Qionghai Dai

IEEE Signal Process. Lett., 2015

2014

Joint Non-Gaussian Denoising and Superresolving of Raw High Frame Rate Videos.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

Visual Words Assignment Via Information-Theoretic Manifold Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

2013

An Overview of Computational Sparse Models and Their Applications in Artificial Intelligence.

[BibT_eX]

[DOI]

Yue Deng

Qionghai Dai

Zengke Zhang

Proceedings of the Artificial Intelligence, Evolutionary Computing and Metaheuristics, 2013

Low-Rank Structure Learning via Nonconvex Heuristic Recovery.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Free-Viewpoint Video of Human Actors Using Multiple Handheld Kinects.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2013

2012

Noisy Depth Maps Fusion for Multiview Stereo Via Matrix Completion.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2012

Commute time guided transformation for feature extraction.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2012

Visual words assignment on a graph via minimal mutual information loss.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2012

2011

Graph Laplace for Occluded Face Completion and Recognition.

[BibT_eX]

[DOI]

Yue Deng

Qionghai Dai

Zengke Zhang

IEEE Trans. Image Process., 2011

2010

Sparsity tracking for low rank matrix recovery from noise

[BibT_eX]

[DOI]

Yue Deng

Qionghai Dai

Zengke Zhang

CoRR, 2010

2009

Partially occluded face completion and recognition.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2009

Yue Deng

Timeline

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