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ORCIDYue Deng 0001
Person information
- affiliation: Beihang University, School of Astronautics, Science and Technology on Space Intelligent Control Laboratory, Beijing, China
- affiliation: University of California, San Francisco Medical Center, CA, USA
- affiliation (PhD 2013): Tsinghua University, Department of Automation, Beijing, China
- affiliation: Nanjing University, School of Electronic Science and Engineering, China
- affiliation (2010-2011): Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
Other persons with the same name
- Yue Deng — disambiguation page
- Yue Deng 0002
![[0000-0002-3777-9244]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3777-9244")
— Wuhan University, School of Resource and Environmental Science, China - Yue Deng 0003 — Southwest University, College of Computer and Information Science, Chongqing, China
- Yue Deng 0004 — University of Electronic Science and Technology of China, Chengdu, China
- Yue Deng 0005 — Arizona State University, School of Engineering for Matter, Transport, and Energy, Center for Bioelectronics and Biosensors, Biodesign Institute, Tempe, AZ, USA
- Yue Deng 0006 — Xidian University, School of Computer Science and Technology, School of Software, Xi'an, China
- Yue Deng 0007 — Shandong University of Science and Technology, College of Electrical Engineering and Automation, Qingdao, China
- Yue Deng 0008 — Karolinska Institute, Algorithmic Dynamics Lab, SciLifeLab, Stockholm, Sweden
- Yue Deng 0009 — Chengdu University, School of Architecture and Civil Engineering, China (and 1 more)
- Yue Deng 0010 — Nanyang Technological Univeristy, Singapore
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2020 – today
- 2024
[j33]Peiyun Li, Yunfeng Dong, Hongjue Li, Yue Deng, Yingjia Liew:
Vision-Only-Based Control of Approaching Disabled Satellites via Deep Learning. IEEE Trans. Aerosp. Electron. Syst. 60(4): 4740-4752 (2024)- [j32]Jiajun Li, Yue Deng:
SPADIX: A Highly Efficient Accelerator for Solving 3-D Partial Differential Equations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(9): 2797-2809 (2024) - [j31]Kexin Zhang, Qing Gao, Jinhu Lu, Maciej Ogorzalek, Yue Deng:
A Subgraph-Based Hierarchical Q-Learning Approach to Optimal Resource Scheduling for Complex Industrial Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2146-2156 (2024) - [c14]Ning Gao, Xingyu Jiang, Xiuhui Zhang, Yue Deng:
Efficient Frequency-Domain Image Deraining with Contrastive Regularization. ECCV (41) 2024: 240-257 - [c13]Xingyu Jiang, Xiuhui Zhang, Ning Gao, Yue Deng:
When Fast Fourier Transform Meets Transformer for Image Restoration. ECCV (45) 2024: 381-402 - [i5]Shaohua Liu, Junzhe Lu, Zuoya Gu, Jiajun Li, Yue Deng:
Aquatic-GS: A Hybrid 3D Representation for Underwater Scenes. CoRR abs/2411.00239 (2024) - 2023
- [j30]Junzhe Lu, Guangjun He, Hongkun Dou, Qing Gao, Leyuan Fang, Yue Deng:
ScoreSeg: Leveraging Score-Based Generative Model for Self-Supervised Semantic Segmentation of Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8818-8833 (2023) - [j29]Leyuan Fang, Yifan Jiang, Yinglong Yan, Jun Yue, Yue Deng:
Hyperspectral Image Instance Segmentation Using Spectral-Spatial Feature Pyramid Network. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j28]Leyuan Fang, Yinglong Yan, Jun Yue, Yue Deng:
Toward the Vectorization of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j27]Jie Wu, Dingshun Zhu, Leyuan Fang, Yue Deng, Zhun Zhong:
Efficient Layer Compression Without Pruning. IEEE Trans. Image Process. 32: 4689-4700 (2023) - [j26]Jun Yue, Leyuan Fang, Shaobo Xia, Yue Deng, Jiayi Ma:
Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models. IEEE Trans. Image Process. 32: 5705-5720 (2023) - [c12]Huining Yuan, Hongkun Dou, Xingyu Jiang, Yue Deng:
Task-aware world model learning with meta weighting via bi-level optimization. NeurIPS 2023 - [i4]Jun Yue, Leyuan Fang, Shaobo Xia, Yue Deng, Jiayi Ma:
Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models. CoRR abs/2301.08072 (2023) - [i3]Junzhe Lu, Jing Lin, Hongkun Dou, Yulun Zhang, Yue Deng, Haoqian Wang:
DPoser: Diffusion Model as Robust 3D Human Pose Prior. CoRR abs/2312.05541 (2023) - 2022
- [j25]Hongjue Li, Wen Yao, Yunfeng Dong, Qing Gao, Yue Deng:
Deep Kernel-Based Optimal Control Prediction in Aerospace Missions. IEEE Trans. Aerosp. Electron. Syst. 58(3): 1621-1633 (2022) - [c11]Shaohua Liu, Hongkun Dou, Hongjue Li, Yue Deng:
An Optical Satellite Controller Based on Diffractive Deep Neural Network. CICAI (2) 2022: 46-58 - [c10]Xingyu Jiang, Hongkun Dou, Chengwei Fu, Bingquan Dai, Tianrun Xu, Yue Deng:
Boosting Supervised Dehazing Methods via Bi-level Patch Reweighting. ECCV (18) 2022: 57-73 - 2021
- [j24]Hongjue Li, Qing Gao, Yunfeng Dong, Yue Deng:
Spacecraft Relative Trajectory Planning Based on Meta-Learning. IEEE Trans. Aerosp. Electron. Syst. 57(5): 3118-3131 (2021) - [j23]Sen Wan, Yimin Hou, Feng Bao, Zhiquan Ren, Yunfeng Dong, Qionghai Dai, Yue Deng:
Human-in-the-Loop Low-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3287-3292 (2021) - [j22]Yimin Hou, Sen Wan, Feng Bao, Zhiquan Ren, Yunfeng Dong, Qionghai Dai, Yue Deng:
Gated Value Network for Multilabel Classification. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4748-4754 (2021) - [i2]Chunyang Zhang, Qing Gao, Jinhu Lv, Yue Deng, Zhiyu Xi:
An Integral Sliding-Mode Parallel Control Approach for General Nonlinear Systems via Piecewise Affine Linear Models. CoRR abs/2101.05039 (2021) - 2020
- [j21]Feng Bao, Yue Deng, Mulong Du, Zhiquan Ren, Sen Wan, Kenny Ye Liang, Shaohua Liu, Bo Wang, Junyi Xin, Feng Chen, David C. Christiani, Meilin Wang, Qionghai Dai:
Explaining the Genetic Causality for Complex Phenotype via Deep Association Kernel Learning. Patterns 1(6): 100057 (2020) - [j20]Tian Tan, Feng Bao, Yue Deng, Alex Jin, Qionghai Dai, Jie Wang:
Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control. IEEE Trans. Cybern. 50(6): 2687-2700 (2020) - [j19]Feng Bao, Yue Deng, Youyong Kong, Zhiquan Ren, Jin-Li Suo, Qionghai Dai:
Learning Deep Landmarks for Imbalanced Classification. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2691-2704 (2020) - [j18]Yu Wang, Yue Deng, Yilin Shen, Hongxia Jin:
A New Concept of Multiple Neural Networks Structure Using Convex Combination. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4968-4979 (2020)
2010 – 2019
- 2019
- [c9]Yu Wang, Yue Deng, Yilin Shen, Hongxia Jin:
A New Concept of Convex based Multiple Neural Networks Structure. AAMAS 2019: 1306-1314 - [c8]Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin:
Adversarial Multi-label Prediction for Spoken and Visual Signal Tagging. ICASSP 2019: 3252-3256 - [c7]Yue Deng, Yilin Shen, Hongxia Jin:
Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction. IJCAI 2019: 4954-4960 - 2018
- [j17]Feng Bao, Yue Deng, Mulong Du, Zhiquan Ren, Qingzhao Zhang, Yanyu Zhao, Jin-Li Suo, Zhengdong Zhang, Meilin Wang, Qionghai Dai:
Probabilistic natural mapping of gene-level tests for genome-wide association studies. Briefings Bioinform. 19(4): 545-553 (2018) - [j16]Feng Bao, Yue Deng, Qionghai Dai:
ACID: Association Correction for Imbalanced Data in GWAS. IEEE ACM Trans. Comput. Biol. Bioinform. 15(1): 316-322 (2018) - [c6]Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin:
Adversarial Active Learning for Sequences Labeling and Generation. IJCAI 2018: 4012-4018 - [c5]Yue Deng, Yilin Shen, KaWai Chen, Hongxia Jin:
Training Recurrent Neural Network through Moment Matching for NLP Applications. INTERSPEECH 2018: 3353-3357 - [c4]Yilin Shen, Yue Deng, Avik Ray, Hongxia Jin:
Interactive recommendation via deep neural memory augmented contextual bandits. RecSys 2018: 122-130 - 2017
- [j15]Yue Deng, Yanyu Zhao, Zhiquan Ren, Youyong Kong, Feng Bao, Qionghai Dai:
Discriminant Kernel Assignment for Image Coding. IEEE Trans. Cybern. 47(6): 1434-1445 (2017) - [j14]Yue Deng, Zhiquan Ren, Youyong Kong, Feng Bao, Qionghai Dai:
A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification. IEEE Trans. Fuzzy Syst. 25(4): 1006-1012 (2017) - [j13]Yue Deng, Feng Bao, Youyong Kong, Zhiquan Ren, Qionghai Dai:
Deep Direct Reinforcement Learning for Financial Signal Representation and Trading. IEEE Trans. Neural Networks Learn. Syst. 28(3): 653-664 (2017) - [c3]Yue Deng, Yilin Shen, Hongxia Jin:
Disguise Adversarial Networks for Click-through Rate Prediction. IJCAI 2017: 1589-1595 - 2016
- [j12]Zhiquan Ren, Yang Yang, Feng Bao, Yue Deng, Qionghai Dai:
Directed Adaptive Graphical Lasso for causality inference. Neurocomputing 173: 1989-1994 (2016) - [j11]Zhiquan Ren, Yue Deng, Qionghai Dai:
Local visual feature fusion via maximum margin multimodal deep neural network. Neurocomputing 175: 427-432 (2016) - [j10]Yue Deng, Feng Bao, XueSong Deng, Ruiping Wang, Youyong Kong, Qionghai Dai:
Deep and Structured Robust Information Theoretic Learning for Image Analysis. IEEE Trans. Image Process. 25(9): 4209-4221 (2016) - 2015
- [b1]Yue Deng:
High-dimensional and low-quality visual information processing: from structured sensing and understanding. Tsinghua University Beijing, Springer 2015, ISBN 978-3-662-44525-9, pp. 1-99 - [j9]Youyong Kong, Yue Deng, Qionghai Dai:
Discriminative Clustering and Feature Selection for Brain MRI Segmentation. IEEE Signal Process. Lett. 22(5): 573-577 (2015) - [j8]Yue Deng, Youyong Kong, Feng Bao, Qionghai Dai:
Sparse Coding-Inspired Optimal Trading System for HFT Industry. IEEE Trans. Ind. Informatics 11(2): 467-475 (2015) - 2014
- [j7]Yue Deng, Yipeng Li, Yanjun Qian, Xiangyang Ji, Qionghai Dai:
Visual Words Assignment Via Information-Theoretic Manifold Embedding. IEEE Trans. Cybern. 44(10): 1924-1937 (2014) - [j6]Jin-Li Suo, Yue Deng, Liheng Bian, Qionghai Dai:
Joint Non-Gaussian Denoising and Superresolving of Raw High Frame Rate Videos. IEEE Trans. Image Process. 23(3): 1154-1168 (2014) - 2013
- [j5]Genzhi Ye, Yebin Liu, Yue Deng, Nils Hasler, Xiangyang Ji, Qionghai Dai, Christian Theobalt:
Free-Viewpoint Video of Human Actors Using Multiple Handheld Kinects. IEEE Trans. Cybern. 43(5): 1370-1382 (2013) - [j4]Yue Deng, Qionghai Dai, Risheng Liu, Zengke Zhang, Sanqing Hu:
Low-Rank Structure Learning via Nonconvex Heuristic Recovery. IEEE Trans. Neural Networks Learn. Syst. 24(3): 383-396 (2013) - [p1]Yue Deng, Qionghai Dai, Zengke Zhang:
An Overview of Computational Sparse Models and Their Applications in Artificial Intelligence. Artificial Intelligence, Evolutionary Computing and Metaheuristics 2013: 345-369 - 2012
- [j3]Yue Deng, Qionghai Dai, Ruiping Wang, Zengke Zhang:
Commute time guided transformation for feature extraction. Comput. Vis. Image Underst. 116(4): 473-483 (2012) - [j2]Yue Deng, Yebin Liu, Qionghai Dai, Zengke Zhang, Yao Wang:
Noisy Depth Maps Fusion for Multiview Stereo Via Matrix Completion. IEEE J. Sel. Top. Signal Process. 6(5): 566-582 (2012) - [c2]Yanjun Qian, Yue Deng, Qionghai Dai, Yipeng Li, Guihua Er:
Visual words assignment on a graph via minimal mutual information loss. BMVC 2012: 1-10 - 2011
- [j1]Yue Deng, Qionghai Dai, Zengke Zhang:
Graph Laplace for Occluded Face Completion and Recognition. IEEE Trans. Image Process. 20(8): 2329-2338 (2011) - 2010
- [i1]Yue Deng, Qionghai Dai, Zengke Zhang:
Sparsity tracking for low rank matrix recovery from noise. CoRR abs/1012.1919 (2010)
2000 – 2009
- 2009
- [c1]Yue Deng, Dong Li, Xudong Xie, Kin-Man Lam, Qionghai Dai:
Partially occluded face completion and recognition. ICIP 2009: 4145-4148
Coauthor Index
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