Partially occluded face completion and recognition. - Yue Deng 001; Dong Li 028; Xudong Xie; Kin-Man Lam 001; Qionghai Dai (ICIP, 2009)

Sparsity tracking for low rank matrix recovery from noise - Yue Deng 001; Qionghai Dai; Zengke Zhang (CoRR, 2010)

Graph Laplace for Occluded Face Completion and Recognition. - Yue Deng 001; Qionghai Dai; Zengke Zhang (IEEE Trans. Image Process., 2011)

Visual words assignment on a graph via minimal mutual information loss. - Yanjun Qian; Yue Deng 001; Qionghai Dai; Yipeng Li; Guihua Er (BMVC, 2012)

Commute time guided transformation for feature extraction. - Yue Deng 001; Qionghai Dai; Ruiping Wang 001; Zengke Zhang (Comput. Vis. Image Underst., 2012)

Noisy Depth Maps Fusion for Multiview Stereo Via Matrix Completion. - Yue Deng 001; Yebin Liu; Qionghai Dai; Zengke Zhang; Yao Wang 001 (IEEE J. Sel. Top. Signal Process., 2012)

Free-Viewpoint Video of Human Actors Using Multiple Handheld Kinects. - Genzhi Ye; Yebin Liu; Yue Deng 001; Nils Hasler; Xiangyang Ji; Qionghai Dai; Christian Theobalt (IEEE Trans. Cybern., 2013)

Low-Rank Structure Learning via Nonconvex Heuristic Recovery. - Yue Deng 001; Qionghai Dai; Risheng Liu; Zengke Zhang; Sanqing Hu (IEEE Trans. Neural Networks Learn. Syst., 2013)

An Overview of Computational Sparse Models and Their Applications in Artificial Intelligence. - Yue Deng 001; Qionghai Dai; Zengke Zhang (Artificial Intelligence, Evolutionary Computing and Metaheuristics, 2013)

Visual Words Assignment Via Information-Theoretic Manifold Embedding. - Yue Deng 001; Yipeng Li; Yanjun Qian; Xiangyang Ji; Qionghai Dai (IEEE Trans. Cybern., 2014)

Joint Non-Gaussian Denoising and Superresolving of Raw High Frame Rate Videos. - Jin-Li Suo; Yue Deng 001; Liheng Bian; Qionghai Dai (IEEE Trans. Image Process., 2014)

Discriminative Clustering and Feature Selection for Brain MRI Segmentation. - Youyong Kong; Yue Deng 001; Qionghai Dai (IEEE Signal Process. Lett., 2015)

Sparse Coding-Inspired Optimal Trading System for HFT Industry. - Yue Deng 001; Youyong Kong; Feng Bao 002; Qionghai Dai (IEEE Trans. Ind. Informatics, 2015)

High-dimensional and low-quality visual information processing: from structured sensing and understanding. - Yue Deng 001 (Springer, 2015)

Local visual feature fusion via maximum margin multimodal deep neural network. - Zhiquan Ren; Yue Deng 001; Qionghai Dai (Neurocomputing, 2016)

Directed Adaptive Graphical Lasso for causality inference. - Zhiquan Ren; Yang Yang; Feng Bao 002; Yue Deng 001; Qionghai Dai (Neurocomputing, 2016)

Deep and Structured Robust Information Theoretic Learning for Image Analysis. - Yue Deng 001; Feng Bao 002; XueSong Deng; Ruiping Wang 001; Youyong Kong; Qionghai Dai (IEEE Trans. Image Process., 2016)

Disguise Adversarial Networks for Click-through Rate Prediction. - Yue Deng 001; Yilin Shen; Hongxia Jin (IJCAI, 2017)

Discriminant Kernel Assignment for Image Coding. - Yue Deng 001; Yanyu Zhao; Zhiquan Ren; Youyong Kong; Feng Bao 002; Qionghai Dai (IEEE Trans. Cybern., 2017)

A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification. - Yue Deng 001; Zhiquan Ren; Youyong Kong; Feng Bao 002; Qionghai Dai (IEEE Trans. Fuzzy Syst., 2017)

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading. - Yue Deng 001; Feng Bao 002; Youyong Kong; Zhiquan Ren; Qionghai Dai (IEEE Trans. Neural Networks Learn. Syst., 2017)

Adversarial Active Learning for Sequences Labeling and Generation. - Yue Deng 001; KaWai Chen; Yilin Shen; Hongxia Jin (IJCAI, 2018)

Training Recurrent Neural Network through Moment Matching for NLP Applications. - Yue Deng 001; Yilin Shen; KaWai Chen; Hongxia Jin (INTERSPEECH, 2018)

Interactive recommendation via deep neural memory augmented contextual bandits. - Yilin Shen; Yue Deng 001; Avik Ray; Hongxia Jin (RecSys, 2018)

Probabilistic natural mapping of gene-level tests for genome-wide association studies. - Feng Bao 002; Yue Deng 001; Mulong Du; Zhiquan Ren; Qingzhao Zhang; Yanyu Zhao; Jin-Li Suo; Zhengdong Zhang; Meilin Wang; Qionghai Dai (Briefings Bioinform., 2018)

ACID: Association Correction for Imbalanced Data in GWAS. - Feng Bao 002; Yue Deng 001; Qionghai Dai (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

A New Concept of Convex based Multiple Neural Networks Structure. - Yu Wang 091; Yue Deng 001; Yilin Shen; Hongxia Jin (AAMAS, 2019)

Adversarial Multi-label Prediction for Spoken and Visual Signal Tagging. - Yue Deng 001; KaWai Chen; Yilin Shen; Hongxia Jin (ICASSP, 2019)

Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction. - Yue Deng 001; Yilin Shen; Hongxia Jin (IJCAI, 2019)

Explaining the Genetic Causality for Complex Phenotype via Deep Association Kernel Learning. - Feng Bao 002; Yue Deng 001; Mulong Du; Zhiquan Ren; Sen Wan; Kenny Ye Liang; Shaohua Liu 003; Bo Wang; Junyi Xin; Feng Chen; David C. Christiani; Meilin Wang; et al. (Patterns, 2020)

Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control. - Tian Tan 003; Feng Bao 002; Yue Deng 001; Alex Jin; Qionghai Dai; Jie Wang 006 (IEEE Trans. Cybern., 2020)

Learning Deep Landmarks for Imbalanced Classification. - Feng Bao 002; Yue Deng 001; Youyong Kong; Zhiquan Ren; Jin-Li Suo; Qionghai Dai (IEEE Trans. Neural Networks Learn. Syst., 2020)

A New Concept of Multiple Neural Networks Structure Using Convex Combination. - Yu Wang 091; Yue Deng 001; Yilin Shen; Hongxia Jin (IEEE Trans. Neural Networks Learn. Syst., 2020)

An Integral Sliding-Mode Parallel Control Approach for General Nonlinear Systems via Piecewise Affine Linear Models. - Chunyang Zhang; Qing Gao 001; Jinhu Lv; Yue Deng 001; Zhiyu Xi (CoRR, 2021)

Spacecraft Relative Trajectory Planning Based on Meta-Learning. - Hongjue Li; Qing Gao 001; Yunfeng Dong; Yue Deng 001 (IEEE Trans. Aerosp. Electron. Syst., 2021)

Gated Value Network for Multilabel Classification. - Yimin Hou; Sen Wan; Feng Bao 002; Zhiquan Ren; Yunfeng Dong; Qionghai Dai; Yue Deng 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Human-in-the-Loop Low-Shot Learning. - Sen Wan; Yimin Hou; Feng Bao 002; Zhiquan Ren; Yunfeng Dong; Qionghai Dai; Yue Deng 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

An Optical Satellite Controller Based on Diffractive Deep Neural Network. - Shaohua Liu 003; Hongkun Dou; Hongjue Li; Yue Deng 001 (CICAI (2), 2022)

Boosting Supervised Dehazing Methods via Bi-level Patch Reweighting. - Xingyu Jiang; Hongkun Dou; Chengwei Fu; Bingquan Dai; Tianrun Xu; Yue Deng 001 (ECCV (18), 2022)

Deep Kernel-Based Optimal Control Prediction in Aerospace Missions. - Hongjue Li; Wen Yao; Yunfeng Dong; Qing Gao 001; Yue Deng 001 (IEEE Trans. Aerosp. Electron. Syst., 2022)

Task-aware world model learning with meta weighting via bi-level optimization. - Huining Yuan 002; Hongkun Dou; Xingyu Jiang; Yue Deng 001 (NeurIPS, 2023)

Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models. - Jun Yue; Leyuan Fang; Shaobo Xia; Yue Deng 001; Jiayi Ma 001 (CoRR, 2023)

DPoser: Diffusion Model as Robust 3D Human Pose Prior. - Junzhe Lu 001; Jing Lin; Hongkun Dou; Yulun Zhang 001; Yue Deng 001; Haoqian Wang (CoRR, 2023)

ScoreSeg: Leveraging Score-Based Generative Model for Self-Supervised Semantic Segmentation of Remote Sensing. - Junzhe Lu 001; Guangjun He; Hongkun Dou; Qing Gao 001; Leyuan Fang; Yue Deng 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Hyperspectral Image Instance Segmentation Using Spectral-Spatial Feature Pyramid Network. - Leyuan Fang; Yifan Jiang; Yinglong Yan; Jun Yue; Yue Deng 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Toward the Vectorization of Hyperspectral Imagery. - Leyuan Fang; Yinglong Yan; Jun Yue; Yue Deng 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Efficient Layer Compression Without Pruning. - Jie Wu 035; Dingshun Zhu; Leyuan Fang; Yue Deng 001; Zhun Zhong (IEEE Trans. Image Process., 2023)

Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models. - Jun Yue; Leyuan Fang; Shaobo Xia; Yue Deng 001; Jiayi Ma 001 (IEEE Trans. Image Process., 2023)

Efficient Frequency-Domain Image Deraining with Contrastive Regularization. - Ning Gao; Xingyu Jiang; Xiuhui Zhang; Yue Deng 001 (ECCV (41), 2024)

When Fast Fourier Transform Meets Transformer for Image Restoration. - Xingyu Jiang; Xiuhui Zhang; Ning Gao; Yue Deng 001 (ECCV (45), 2024)

Aquatic-GS: A Hybrid 3D Representation for Underwater Scenes. - Shaohua Liu 003; Junzhe Lu 001; Zuoya Gu; Jiajun Li; Yue Deng 001 (CoRR, 2024)

Learning spatiotemporal dynamics with a pretrained generative model. - Zeyu Li; Wang Han; Yue Zhang; Qingfei Fu; Jingxuan Li; Lizi Qin; Ruoyu Dong; Hao Sun 002; Yue Deng 001; Lijun Yang (Nat. Mac. Intell., 2024)

A Subgraph-Based Hierarchical Q-Learning Approach to Optimal Resource Scheduling for Complex Industrial Networks. - Kexin Zhang 005; Qing Gao 001; Jinhu Lu; Maciej Ogorzalek; Yue Deng 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Vision-Only-Based Control of Approaching Disabled Satellites via Deep Learning. - Peiyun Li; Yunfeng Dong; Hongjue Li; Yue Deng 001; Yingjia Liew (IEEE Trans. Aerosp. Electron. Syst., 2024)

SPADIX: A Highly Efficient Accelerator for Solving 3-D Partial Differential Equations. - Jiajun Li; Yue Deng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization. - Xingyu Jiang; Ning Gao; Xiuhui Zhang; Hongkun Dou; Yue Deng 001 (ICLR, 2025)

Image-to-Image Bayesian Flow Networks With Structurally Informative Priors. - Hongkun Dou; Jinyang Du; Xingyu Jiang; Hongjue Li; Wen Yao; Yue Deng 001 (IEEE Trans. Image Process., 2025)

SEGSID: A Semantic-Guided Framework for Sonar Image Despeckling. - Shaohua Liu 003; Junzhe Lu 001; Hongkun Dou; Jiajun Li; Yue Deng 001 (IEEE Trans. Image Process., 2025)

A Quantum Spatial Graph Convolutional Neural Network Model on Quantum Circuits. - Jin Zheng; Qing Gao 001; Maciej Ogorzalek; Jinhu Lü; Yue Deng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Image Restoration via Multi-domain Learning. - Xingyu Jiang; Ning Gao; Xiuhui Zhang; Hongkun Dou; Shaowen Fu; Xiaoqing Zhong; Hongjue Li; Yue Deng 001 (CoRR, 2025)

You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts. - Hongkun Dou; Zeyu Li; Xingyu Jiang; Hongjue Li; Lijun Yang; Wen Yao; Yue Deng 001 (CoRR, 2025)

A Quantum Multimodal Neural Network Model for Sentiment Analysis on Quantum Circuits. - Jin Zheng; Qing Gao 001; Daoyi Dong; Jinhu Lü; Yue Deng 001 (IEEE Trans. Artif. Intell., 2025)

Score-Based Neural Processes. - Hongkun Dou; Junzhe Lu 001; Zeyu Li; Xiaoqing Zhong; Wen Yao; Lijun Yang; Yue Deng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration. - Xingyu Jiang; Ning Gao; Hongkun Dou; Xiuhui Zhang; Xiaoqing Zhong; Yue Deng 001; Hongjue Li (CoRR, 2025)

DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior. - Junzhe Lu 001; Jing Lin; Hongkun Dou; Ailing Zeng; Yue Deng 001; Xian Liu; Zhongang Cai; Lei Yang; Yulun Zhang 001; Haoqian Wang; Ziwei Liu 002 (CoRR, 2025)

High-Dimensional Hyperparameter Optimization via Adjoint Differentiation. - Hongkun Dou; Hongjue Li; Jinyang Du; Leyuan Fang; Qing Gao 001; Yue Deng 001; Wen Yao (IEEE Trans. Artif. Intell., 2025)