Delu Zeng - RankMe

100 papers A* 9A 2B 4C 2Misc 5Journal 66Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hydro-Intelligence Body: Cognitive Architecture for Project-Oriented Autonomous Water Systems Driven by Multi-Modal Sensing and Water Utility Panel. IEEE Trans. Consumer Electron. Min Chen, Yue Wang, Lejun Ai, Xiangju Cheng, Jixuan Xie, Haodong Yi, Enpeng Lan, Jia Liu, Jiaxin Luo, Yu Qiu, Rui Wang, Xiaokun Wu, Wenjing Xiao, Yixue Hao, Long Hu, Delu Zeng, Zhicai He, Gang Wei, Siyuan Liu, Fuxin Zhang, Hongwu Tang
2026	J	`jnl`	A Minimum Variance Path Principle for Accurate and Stable Score-Based Density Ratio Estimation. CoRR Wei Chen, Jiacheng Li, Shigui Li, Zhiqi Lin, Junmei Yang, John Paisley, Delu Zeng
2026	J	`jnl`	Attention Redundancy Reduction for Image Super-Resolution. IEEE Trans. Image Process. Yican Liu, Jiacheng Li, Yuhao Jiang, Delu Zeng, Zhou Wang
2026	J	`jnl`	Diffinformer: Diffusion informer model for long sequence time-series forecasting. Expert Syst. Appl. Jiacheng Li, Wei Chen, Yican Liu, Junmei Yang, Zhiheng Zhou, Delu Zeng
2026	J	`jnl`	Entropy-informed weighting channel normalizing flow for deep generative models. Pattern Recognit. Wei Chen, Shian Du, Shigui Li, Delu Zeng, John Paisley
2025	B	`conf`	A Wavelet-Enhanced Sparse Framework for Time Series Forecasting. SMC Jiacheng Li, Wei Chen, Yican Liu, Delu Zeng
2025	J	`jnl`	Any-Step Density Ratio Estimation via Interval-Annealed Secant Alignment. CoRR Wei Chen, Shigui Li, Jiacheng Li, Jian Xu, Zhiqi Lin, Junmei Yang, Delu Zeng, John Paisley, Qibin Zhao
2025	A	`conf`	Bayesian Gaussian Process ODEs via Double Normalizing Flows. AISTATS Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, Delu Zeng, John Paisley
2025	B	`conf`	BlockIQA: Local Sensitivity-Enhanced Blind Image Quality Assessment through Deep Block Analysis. ICMR Yuqi Pang, Yican Liu, Zhiqi Lin, Delu Zeng
2025	J	`jnl`	Consist-Retinex: One-Step Noise-Emphasized Consistency Training Accelerates High-Quality Retinex Enhancement. CoRR Jian Xu, Wei Chen, Shigui Li, Delu Zeng, John Paisley, Qibin Zhao
2025	A*	`conf`	Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation. ICML Wei Chen, Shigui Li, Jiacheng Li, Junmei Yang, John Paisley, Delu Zeng
2025	J	`jnl`	Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation. CoRR Wei Chen, Shigui Li, Jiacheng Li, Junmei Yang, John Paisley, Delu Zeng
2025	J	`jnl`	Diffusion Bridge Variational Inference for Deep Gaussian Processes. CoRR Jian Xu, Qibin Zhao, John Paisley, Delu Zeng
2025	J	`jnl`	Dynamic and Asymmetric Enhancement for Remote Sensing Image Change Captioning. IEEE Trans. Geosci. Remote. Sens. Tiantao Xian, Zhiheng Zhou, Delu Zeng, Bo Li
2025	J	`jnl`	EVODiff: Entropy-aware Variance Optimized Diffusion Inference. CoRR Shigui Li, Wei Chen, Delu Zeng
2025	J	`jnl`	Fully Bayesian differential Gaussian processes through stochastic differential equations. Knowl. Based Syst. Jian Xu, Zhiqi Lin, Min Chen, Junmei Yang, Delu Zeng, John W. Paisley
2025	B	`conf`	Hand-Eye Calibration with Kernel Density and Decay Noise: An E-TD5 Reinforcement Learning Approach. SMC Jiacheng Li, Yican Liu, Wei Chen, Delu Zeng
2025	J	`jnl`	Improve Cross-Domain Mixed Sampling With Guidance Training for Adaptive Segmentation. IEEE Trans. Instrum. Meas. Wenlve Zhou, Zhiheng Zhou, Tianlei Wang, Delu Zeng
2025	J	`jnl`	Integrating Ordinary Differential Equations With Sparse Attention for Power Load Forecasting. IEEE Trans. Instrum. Meas. Jiacheng Li, Wei Chen, Yican Liu, Junmei Yang, Zhiheng Zhou, Delu Zeng
2025	J	`jnl`	Neural Bridge Processes. CoRR Jian Xu, Yican Liu, Qibin Zhao, John Paisley, Delu Zeng
2025	J	`jnl`	Neural Operator Variational Inference Based on Regularized Stein Discrepancy for Deep Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng
2025	J	`jnl`	ReciprocalLA-LLIE: Low-light image enhancement with luminance-aware reciprocal diffusion process. Neurocomputing Zhiqi Lin, Wei Chen, Jian Xu, Delu Zeng, Min Chen
2025	A	`conf`	Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling. UAI Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng, John Paisley
2024	J	`jnl`	A Two-Way Active Contour Model for Incomplete Contour Segmentation. Circuits Syst. Signal Process. Ming Deng, Zhiheng Zhou, Mingyue Zhang, Guoqi Liu, Delu Zeng
2024	J	`jnl`	Attention-based misaligned spatiotemporal auto-encoder for video anomaly detection. Signal Image Video Process. Haiyan Yang, Shuning Liu, Mingxuan Wu, Hongbin Chen, Delu Zeng
2024	J	`jnl`	DeepAR-Attention probabilistic prediction for stock price series. Neural Comput. Appl. Jiacheng Li, Wei Chen, Zhiheng Zhou, Junmei Yang, Delu Zeng
2024	J	`jnl`	Entropy-Informed Weighting Channel Normalizing Flow. CoRR Wei Chen, Shian Du, Shigui Li, Delu Zeng, John W. Paisley
2024	J	`jnl`	Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling. CoRR Jian Xu, Zhiqi Lin, Shigui Li, Min Chen, Junmei Yang, Delu Zeng, John W. Paisley
2024	J	`jnl`	Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations. CoRR Jian Xu, Zhiqi Lin, Min Chen, Junmei Yang, Delu Zeng, John W. Paisley
2024	J	`jnl`	Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive Segmentation. CoRR Wenlve Zhou, Zhiheng Zhou, Tianlei Wang, Delu Zeng
2024	J	`jnl`	Information Geometry and Beta Link for Optimizing Sparse Variational Student-t Processes. CoRR Jian Xu, Delu Zeng, John W. Paisley
2024	Misc	`conf`	Low Redundant Attention Network for Efficient Image Super-Resolution. ICASSP Yican Liu, Jiacheng Li, Delu Zeng
2024	J	`jnl`	Neural Ordinary Differential Equation Networks for Fintech Applications Using Internet of Things. IEEE Internet Things J. Jiacheng Li, Wei Chen, Yican Liu, Junmei Yang, Delu Zeng, Zhiheng Zhou
2024	A*	`conf`	Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference. ICML Jian Xu, Delu Zeng, John W. Paisley
2024	J	`jnl`	Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference. CoRR Jian Xu, Delu Zeng, John W. Paisley
2024	A*	`conf`	Sparse Variational Student-t Processes. AAAI Jian Xu, Delu Zeng
2024	J	`jnl`	Tighter bound estimation for efficient biquadratic optimization over unit spheres. J. Glob. Optim. Shigui Li, Linzhang Lu, Xing Qiu, Zhen Chen, Delu Zeng
2024	J	`jnl`	Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling. CoRR Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng
2023	J	`jnl`	A Multiscale Approach to Deep Blind Image Quality Assessment. IEEE Trans. Image Process. Manni Liu, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley
2023	J	`jnl`	Adaptive active contour model based on local bias field estimation and saliency. J. Intell. Fuzzy Syst. Ming Deng, Zhiheng Zhou, Guoqi Liu, Delu Zeng, Mingyue Zhang
2023	J	`jnl`	An Underwater Image Quality Assessment Metric. IEEE Trans. Multim. Pengfei Guo, Hantao Liu, Delu Zeng, Tao Xiang, Leida Li, Ke Gu
2023	J	`jnl`	Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning. CoRR Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, John W. Paisley, Delu Zeng
2023	J	`jnl`	Multiscale Attentive Image De-Raining Networks via Neural Architecture Search. IEEE Trans. Circuits Syst. Video Technol. Lei Cai, Yuli Fu, Wanliang Huo, Youjun Xiang, Tao Zhu, Ying Zhang, Huanqiang Zeng, Delu Zeng
2023	J	`jnl`	Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes. CoRR Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng
2023	J	`jnl`	Neurodynamics Adaptive Reward and Action for Hand-to-Eye Calibration With Deep Reinforcement Learning. IEEE Access Zheng Zheng, Mengfei Yu, Pengfei Guo, Delu Zeng
2023	J	`jnl`	SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive Difference. CoRR Shigui Li, Wei Chen, Delu Zeng
2023	A*	`conf`	Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior. AAAI Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley
2023	J	`jnl`	Sparse Variational Student-t Processes. CoRR Jian Xu, Delu Zeng
2022	—	`conf`	Continuous Self-adaptive Calibration by Reinforcement Learning. CSAI Mengfei Yu, Zheng Zheng, Delu Zeng
2022	A*	`conf`	TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed. CVPR Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng
2022	J	`jnl`	TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed. CoRR Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng
2022	J	`jnl`	Tighter Bound Estimation for Efficient Biquadratic Optimization Over Unit Spheres. CoRR Shigui Li, Linzhang Lu, Xing Qiu, Zhen Chen, Delu Zeng
2022	J	`jnl`	Underwater Image Quality Assessment: Subjective and Objective Methods. IEEE Trans. Multim. Pengfei Guo, Lang He, Shuangyin Liu, Delu Zeng, Hantao Liu
2022	—	`conf`	VLS: Vehicle Tail Light Signal Detection Benchmark. ACAI Ruili Lai, Chumei Wen, Jingmin Xu, Delu Zeng, Bo Wu
2021	B	`conf`	A Metric For Quantifying Image Quality Induced Saliency Variation. ICIP Pengfei Guo, Xin Zhao, Delu Zeng, Hantao Liu
2021	J	`jnl`	A deep learning improved numerical method for the simulation of rogue waves of nonlinear Schrödinger equation. Commun. Nonlinear Sci. Numer. Simul. Rui-Qi Wang, Liming Ling, Delu Zeng, Bao-Feng Feng
2021	J	`jnl`	Convex Optimization Method for Quantifying Image Quality Induced Saliency Variation. IEEE Access Pengfei Guo, Xin Zhao, Dongqing Wu, Lei Zhang, Delu Zeng, Hantao Liu
2021	J	`jnl`	Deep Learning for Scene Classification: A Survey. CoRR Delu Zeng, Minyu Liao, Mohammad Tavakolian, Yulan Guo, Bolei Zhou, Dewen Hu, Matti Pietikäinen, Li Liu
2021	J	`jnl`	Measuring the rogue wave pattern triggered from Gaussian perturbations by deep learning. CoRR Liwen Zou, XinHang Luo, Delu Zeng, Liming Ling, Li-Chen Zhao
2021	J	`jnl`	Self-Supervised Time Series Clustering With Model-Based Dynamics. IEEE Trans. Neural Networks Learn. Syst. Qianli Ma, Sen Li, Wanqing Zhuang, Sen Li, Jiabing Wang, Delu Zeng
2021	J	`jnl`	Self-Verification in Image Denoising. CoRR Huangxing Lin, Yihong Zhuang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley
2020	J	`jnl`	Multi-scale enhancement fusion for underwater sea cucumber images based on human visual system modelling. Comput. Electron. Agric. Pengfei Guo, Delu Zeng, Yunbo Tian, Shuangyin Liu, Hantao Liu, Daoliang Li
2019	—	`conf`	Delving into the Impact of Saliency Detector: A GeminiNet for Accurate Saliency Detection. ICANN (3) Tao Zheng, Bo Li, Delu Zeng, Zhiheng Zhou
2019	J	`jnl`	Prominent edge detection with deep metric expression and multi-scale features. Multim. Tools Appl. Shulian Cai, Jiabin Huang, Jing Chen, Yue Huang, Xinghao Ding, Delu Zeng
2019	—	`conf`	Scan-Flood Fill(SCAFF): An Efficient Automatic Precise Region Filling Algorithm for Complicated Regions. CVPR Workshops Yixuan He, Tianyi Hu, Delu Zeng
2019	J	`jnl`	Scan-flood Fill(SCAFF): an Efficient Automatic Precise Region Filling Algorithm for Complicated Regions. CoRR Yixuan He, Tianyi Hu, Delu Zeng
2018	Misc	`conf`	Bindctnet: A Simple Binary Dct Network for Image Classification. ICASSP Xiangrui Xing, Xian Yu, Wenao Ma, Yue Huang, Delu Zeng, Xinghao Ding
2018	—	`ed.`	Cloud Computing, Security, Privacy in New Computing Environments - 7th International Conference, CloudComp 2016, and First International Conference, SPNCE 2016, Guangzhou, China, November 25-26, and December 15-16, 2016, Proceedings CloudComp Jiafu Wan, Kai Lin, Delu Zeng, Jin Li, Yang Xiang, Xiaofeng Liao, Jiwu Huang, Zheli Liu
2018	A*	`conf`	MEnet: A Metric Expression Network for Salient Object Segmentation. IJCAI Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley
2018	J	`jnl`	MEnet: A Metric Expression Network for Salient Object Segmentation. CoRR Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley
2017	Misc	`conf`	Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning. ICASSP Yue Huang, Han Zheng, Chi Liu, Gustavo K. Rohde, Delu Zeng, Jiaqi Wang, Xinghao Ding
2017	J	`jnl`	Non-blind deconvolution with ℓ 1 -norm of high-frequency fidelity. Multim. Tools Appl. Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding
2017	—	`conf`	Real-time pedestrian warning system on highway using deep learning methods. ISPACS Xin He, Delu Zeng
2017	A*	`conf`	Removing Rain from Single Images via a Deep Detail Network. CVPR Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley
2017	—	`conf`	Resource Allocation and Optimization Based on Queuing Theory and BP Network. ICONIP (1) Hong Tang, Delu Zeng, Xin Liu, Jiabin Huang, Yinghao Liao
2016	A*	`conf`	A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation. CVPR Xueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding
2016	J	`jnl`	A fusion-based enhancing method for weakly illuminated images. Signal Process. Xueyang Fu, Delu Zeng, Yue Huang, Yinghao Liao, Xinghao Ding, John W. Paisley
2016	J	`jnl`	A novel framework method for non-blind deconvolution using subspace images priors. Signal Process. Image Commun. Peixian Zhuang, Xueyang Fu, Yue Huang, Delu Zeng, Xinghao Ding
2016	J	`jnl`	Cloud-Assisted Mood Fatigue Detection System. Mob. Networks Appl. Xiaobo Shi, Yixue Hao, Delu Zeng, Lu Wang, M. Shamim Hossain, Sk. Md. Mizanur Rahman, Abdulhameed Alelaiwi
2016	J	`jnl`	Mixed noise removal based on a novel non-parametric Bayesian sparse outlier model. Neurocomputing Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding
2016	J	`jnl`	Rapid reconstruction of quantitative susceptibility mapping via improved ℓ Comput. Biol. Medicine Congbo Cai, Xi Chen, Weijun Liu, Shuhui Cai, Delu Zeng, Xinghao Ding
2016	J	`jnl`	Saliency Detection With Spaces of Background-Based Distribution. IEEE Signal Process. Lett. Tong Zhao, Lin Li, Xinghao Ding, Yue Huang, Delu Zeng
2016	J	`jnl`	Saliency Detection with Spaces of Background-based Distribution. CoRR Tong Zhao, Lin Li, Xinghao Ding, Yue Huang, Delu Zeng
2016	J	`jnl`	Single image rain and snow removal via guided L0 smoothing filter. Multim. Tools Appl. Xinghao Ding, Liqin Chen, Xianhui Zheng, Yue Huang, Delu Zeng
2016	—	`conf`	Speech enhancement based on nonparametric factor analysis. ISCSLP Lin Li, Jiawen Wu, Xinghao Ding, Qingyang Hong, Delu Zeng
2015	J	`jnl`	A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation. IEEE Trans. Image Process. Xueyang Fu, Yinghao Liao, Delu Zeng, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding
2015	—	`conf`	A novel nonlocal MRI reconstruction algorithm with patch-based low rank regularization. GlobalSIP Liyan Sun, Jinchu Chen, Delu Zeng, Xinghao Ding
2015	Misc	`conf`	Fast magnetic susceptibility reconstruction using L0 norm of gradient. ICASSP Weijun Liu, Jianzhong Lin, Congbo Cai, Delu Zeng, Xinghao Ding
2015	A*	`conf`	Pan-Sharpening with a Hyper-Laplacian Penalty. ICCV Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John W. Paisley
2015	J	`jnl`	Remote Sensing Image Enhancement Using Regularized-Histogram Equalization and DCT. IEEE Geosci. Remote. Sens. Lett. Xueyang Fu, Jiye Wang, Delu Zeng, Yue Huang, Xinghao Ding
2015	J	`jnl`	Single-trial ERPs denoising via collaborative filtering on ERPs images. Neurocomputing Yue Huang, Xin Chen, Jun Zhang, Delu Zeng, Dandan Zhang, Xinghao Ding
2014	C	`conf`	A fusion-based enhancing approach for single sandstorm image. MMSP Xueyang Fu, Yue Huang, Delu Zeng, Xiao-Ping (Steven) Zhang, Xinghao Ding
2014	C	`conf`	Robust mixed noise removal with non-parametric Bayesian sparse outlier model. MMSP Peixian Zhuang, Wei Wang, Delu Zeng, Xinghao Ding
2013	—	`conf`	A variational framework for single low light image enhancement using bright channel prior. GlobalSIP Xueyang Fu, Delu Zeng, Yue Huang, Xinghao Ding, Xiao-Ping (Steven) Zhang
2013	—	`conf`	Single-Trial Event-Related Potentials Classification via a Discriminative Dictionary Learning Scheme. ICONIP (1) Yue Huang, Jun Zhang, Xin Chen, Delu Zeng, Xinghao Ding, Dandan Zhang, Qingfeng Cai
2012	J	`jnl`	Image Segmentation Based on the Poincaré Map Method. IEEE Trans. Image Process. Delu Zeng, Zhiheng Zhou, Shengli Xie
2010	J	`jnl`	Coarse-to-fine boundary location with a SOM-like method. IEEE Trans. Neural Networks Delu Zeng, Zhiheng Zhou, Shengli Xie
2009	J	`jnl`	Arranging and Interpolating Sparse Unorganized Feature Points With Geodesic Circular Arc. IEEE Trans. Image Process. Shengli Xie, Delu Zeng, Zhiheng Zhou, Jun Zhang
2007	Misc	`conf`	Contour Extraction Algorithm Using a Robust Neural Network. International Conference on Computational Science (4) Zhiheng Zhou, Zhengfang Li, Delu Zeng
2006	—	`conf`	Improved Clustering and Anisotropic Gradient Descent Algorithm for Compact RBF Network. ICONIP (2) Delu Zeng, Shengli Xie, Zhiheng Zhou