Zhihong Zhang

101 papers A* 7A 2B 7C 1Misc 3Journal 55Unranked 26
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multi-view short-term photovoltaic power prediction combining satellite images feature learning and graph mutual information feature representation.
IET Comput. Vis.
Yuxing Dai, Jing Lai, Xuexin Xu, Jianbing Xiahou, Jie Lian, Zhihong Zhang
2025 A* conf
Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach.
IJCAI
Jingwei Hu, Kai Xie, Zheng Fang, Xiaodong Li, Junchi Yan, Zhihong Zhang
2025 — conf
Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming.
FLLM
Ziyue Xu, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025 J jnl
Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming.
CoRR
Ziyue Xu, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025 — conf
Secure Federated XGBoost with CUDA-Accelerated Homomorphic Encryption via NVIDIA FLARE.
CAI
Ziyue Xu, Yuan-Ting Hsieh, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025 J jnl
Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE.
CoRR
Ziyue Xu, Yuan-Ting Hsieh, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2024 J jnl
Empowering Federated Learning for Massive Models with NVIDIA FLARE.
CoRR
Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng
2024 J jnl
GPT4Battery: An LLM-driven Framework for Adaptive State of Health Estimation of Raw Li-ion Batteries.
CoRR
Yuyuan Feng, Guosheng Hu, Zhihong Zhang
2024 J jnl
Supercharging Federated Learning with Flower and NVIDIA FLARE.
CoRR
Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng
2024 J jnl
Two-Level Graph Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock
2023 J jnl
Any-to-Any Voice Conversion With Multi-Layer Speaker Adaptation and Content Supervision.
IEEE ACM Trans. Audio Speech Lang. Process.
Xuexin Xu, Liang Shi, Xunquan Chen, Pingyuan Lin, Jie Lian, Jinhui Chen, Zhihong Zhang, Edwin R. Hancock
2023 A* conf
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy.
NeurIPS
Qiyao Huang, Yingyue Zhang, Zhihong Zhang, Edwin R. Hancock
2023 J jnl
Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Lu Bai, Lixin Cui, Zhihong Zhang, Lixiang Xu, Yue Wang, Edwin R. Hancock
2023 J jnl
Graph Motif Entropy for Understanding Time-Evolving Networks.
IEEE Trans. Neural Networks Learn. Syst.
Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock
2023 J jnl
Image feature learning combined with attention-based spectral representation for spatio-temporal photovoltaic power prediction.
IET Comput. Vis.
Xingchen Guo, Jing Lai, Zhou Zheng, Chenxiang Lin, Yuxing Dai, Xuexin Xu, Haisheng San, Rong Jia, Zhihong Zhang
2023 J jnl
Labeled Subgraph Entropy Kernel.
CoRR
Chengyu Sun, Xing Ai, Zhihong Zhang, Edwin R. Hancock
2023 J jnl
NVIDIA FLARE: Federated Learning from Simulation to Real-World.
IEEE Data Eng. Bull.
Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng
2023 J jnl
PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching.
CoRR
Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang
2023 J jnl
Position-aware and structure embedding networks for deep graph matching.
Pattern Recognit.
Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang, Edwin R. Hancock
2023 J jnl
Spatial Adaptive Fusion Consistency Contrastive Constraint: Weakly Supervised Building Facade Point Cloud Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Yanfei Su, Ming Cheng, Zhimin Yuan, Weiquan Liu, Wankang Zeng, Zhihong Zhang, Cheng Wang
2023 J jnl
Speaker-Independent Emotional Voice Conversion via Disentangled Representations.
IEEE Trans. Multim.
Xunquan Chen, Xuexin Xu, Jinhui Chen, Zhihong Zhang, Tetsuya Takiguchi, Edwin R. Hancock
2022 J jnl
Corrigendum to "LiDAR-based localization using universal encoding and memory-aware regression" Pattern Recognition Volume 128 (2022) 108685.
Pattern Recognit.
Shangshu Yu, Cheng Wang, Chenglu Wen, Ming Cheng, Minghao Liu, Zhihong Zhang, Xin Li
2022 J jnl
DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds.
Pattern Recognit.
Yanfei Su, Weiquan Liu, Zhimin Yuan, Ming Cheng, Zhihong Zhang, Xuelun Shen, Cheng Wang
2022 J jnl
Decompositional Quantum Graph Neural Network.
CoRR
Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin R. Hancock
2022 J jnl
Direction of arrival estimation for indoor environments based on acoustic composition model with a single microphone.
Pattern Recognit.
Xingchen Guo, Xuexin Xu, Xunquan Chen, Jinhui Chen, Rong Jia, Zhihong Zhang, Tetsuya Takiguchi, Edwin R. Hancock
2022 J jnl
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition.
Pattern Recognit.
Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang
2022 J jnl
LiDAR-based localization using universal encoding and memory-aware regression.
Pattern Recognit.
Shangshu Yu, Cheng Wang, Chenglu Wen, Ming Cheng, Minghao Liu, Zhihong Zhang, Xin Li
2022 J jnl
NVIDIA FLARE: Federated Learning from Simulation to Real-World.
CoRR
Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng
2022 J jnl
Two-level Graph Neural Network.
CoRR
Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock
2021 — conf
Blockchain Based Trusted Identity Authentication in Ubiquitous Power Internet of Things.
ICIC (2)
Yiming Guo, Xi Chen, Shuang Tian, Le Yang, Xiao Liang, Jie Lian, Dianwei Jin, Aleksei Balabontsev, Zhihong Zhang
2021 J jnl
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds.
CoRR
Yanfei Su, Weiquan Liu, Zhimin Yuan, Ming Cheng, Zhihong Zhang, Xuelun Shen, Cheng Wang
2021 J jnl
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition.
CoRR
Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang
2021 J jnl
Multimodal fusion for indoor sound source localization.
Pattern Recognit.
Jinhui Chen, Ryoichi Takashima, Xingchen Guo, Zhihong Zhang, Xuexin Xu, Tetsuya Takiguchi, Edwin R. Hancock
2021 J jnl
Semi-Supervised Face Frontalization in the Wild.
IEEE Trans. Inf. Forensics Secur.
Zhihong Zhang, Ruiyang Liang, Xu Chen, Xuexin Xu, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock
2021 J jnl
Statistical mechanical analysis for unweighted and weighted stock market networks.
Pattern Recognit.
Jianjia Wang, Xingchen Guo, Weimin Li, Xing Wu, Zhihong Zhang, Edwin R. Hancock
2021 J jnl
Thermodynamic motif analysis for directed stock market networks.
Pattern Recognit.
Dongdong Chen, Xingchen Guo, Jianjia Wang, Jiatong Liu, Zhihong Zhang, Edwin R. Hancock
2021 A conf
Two-Pathway Style Embedding for Arbitrary Voice Conversion.
Interspeech
Xuexin Xu, Liang Shi, Jinhui Chen, Xunquan Chen, Jie Lian, Pingyuan Lin, Zhihong Zhang, Edwin R. Hancock
2020 J jnl
Learning EEG topographical representation for classification via convolutional neural network.
Pattern Recognit.
Meiyan Xu, Junfeng Yao, Zhihong Zhang, Rui Li, Baorong Yang, Chunyan Li, Jun Li, Junsong Zhang
2020 J jnl
Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks.
Pattern Recognit.
Zhihong Zhang, Yangbin Zeng, Lu Bai, Yiqun Hu, Meihong Wu, Shuai Wang, Edwin R. Hancock
2019 J jnl
A graph-based approach to automated EUS image layer segmentation and abnormal region detection.
Neurocomputing
Xu Chen, Yiqun Hu, Zhihong Zhang, Beizhan Wang, Lichi Zhang, Fei Shi, Xinjian Chen, Xiaoyi Jiang
2019 J jnl
Depth-based subgraph convolutional auto-encoder for network representation learning.
Pattern Recognit.
Zhihong Zhang, Dongdong Chen, Zeli Wang, Heng Li, Lu Bai, Edwin R. Hancock
2019 J jnl
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis.
CoRR
Lu Bai, Lixin Cui, Lixiang Xu, Yue Wang, Zhihong Zhang, Edwin R. Hancock
2019 J jnl
Face Frontalization Using an Appearance-Flow-Based Convolutional Neural Network.
IEEE Trans. Image Process.
Zhihong Zhang, Xu Chen, Beizhan Wang, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock
2019 J jnl
Identifying the most informative features using a structurally interacting elastic net.
Neurocomputing
Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock
2019 J jnl
Polar Transformation on Image Features for Orientation-Invariant Representations.
IEEE Trans. Multim.
Jinhui Chen, Zhaojie Luo, Zhihong Zhang, Faliang Huang, Zhiling Ye, Tetsuya Takiguchi, Edwin R. Hancock
2019 J jnl
Quantum-based subgraph convolutional neural networks.
Pattern Recognit.
Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock
2019 J jnl
Single image super resolution via neighbor reconstruction.
Pattern Recognit. Lett.
Zhihong Zhang, Chen Xu, Zhonghao Zhang, Guo Chen, Yide Cai, Zeli Wang, Heng Li, Edwin R. Hancock
2019 J jnl
Structural network inference from time-series data using a generative model and transfer entropy.
Pattern Recognit. Lett.
Zhihong Zhang, Genzhou Zhang, Zhonghao Zhang, Guo Chen, Yangbin Zeng, Beizhan Wang, Edwin R. Hancock
2018 — conf
A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs.
S+SSPR
Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Lixiang Xu, Edwin R. Hancock
2018 — conf
A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels.
S+SSPR
Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock
2018 B conf
A Unified Neighbor Reconstruction Method for Embeddings.
ICPR
Zhiling Ye, Zhihong Zhang, Lu Bai, Guosheng Hu, Zheng-Jian Bai, Yiqun Hu, Edwin R. Hancock
2018 J jnl
Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions.
Comput. Aided Geom. Des.
Qingqi Hong, Qingde Li, Beizhan Wang, Kunhong Liu, Fan Lin, Juncong Lin, Xuan Cheng, Zhihong Zhang, Ming Zeng
2018 — conf
Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States.
ECCV (12)
Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang
2018 Misc conf
Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions.
ICASSP
Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Martin Robertson, Timothy M. Hospedales, Qiangwei Miemie
2018 B conf
Depth-based Subgraph Convolutional Neural Networks.
ICPR
Chuanyu Xu, Dong Wang, Zhihong Zhang, Beizhan Wang, Da Zhou, Guijun Ren, Lu Bai, Lixin Cui, Edwin R. Hancock
2018 — conf
Directed Network Analysis Using Transfer Entropy Component Analysis.
S+SSPR
Meihong Wu, Yangbin Zeng, Zhihong Zhang, Haiyun Hong, Zhuobin Xu, Lixin Cui, Lu Bai, Edwin R. Hancock
2018 A* conf
H-Net: Neural Network for Cross-domain Image Patch Matching.
IJCAI
Weiquan Liu, Xuelun Shen, Cheng Wang, Zhihong Zhang, Chenglu Wen, Jonathan Li
2018 J jnl
Identifying The Most Informative Features Using A Structurally Interacting Elastic Net.
CoRR
Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock
2018 J jnl
Recovering variations in facial albedo from low resolution images.
Pattern Recognit.
Xu Chen, Zhihong Zhang, Beizhan Wang, Guosheng Hu, Edwin R. Hancock
2018 — conf
Single Image Super Resolution via Neighbor Reconstruction.
S+SSPR
Zhihong Zhang, Zhuobin Xu, Zhiling Ye, Yiqun Hu, Lixin Cui, Lu Bai
2018 Misc conf
Weighted Patches Based Face Super-Resolution Via Adaboost.
ICMLC
Shanjun Mao, Da Zhou, Yiping Zhang, Zhihong Zhang, Jing-Jing Cao
2017 A* conf
Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks.
ICCV
Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang
2017 — conf
Deep Face Model Compression Using Entropy-Based Filter Selection.
ICIAP (2)
Bingbing Han, Zhihong Zhang, Chuanyu Xu, Beizhan Wang, Guosheng Hu, Lu Bai, Qingqi Hong, Edwin R. Hancock
2017 J jnl
High-order covariate interacted Lasso for feature selection.
Pattern Recognit. Lett.
Zhihong Zhang, Yiyang Tian, Lu Bai, Jianbing Xiahou, Edwin R. Hancock
2017 J jnl
Joint hypergraph learning and sparse regression for feature selection.
Pattern Recognit.
Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock
2017 J jnl
Quantum kernels for unattributed graphs using discrete-time quantum walks.
Pattern Recognit. Lett.
Lu Bai, Luca Rossi, Lixin Cui, Zhihong Zhang, Peng Ren, Xiao Bai, Edwin R. Hancock
2017 J jnl
Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval.
Comput. Math. Methods Medicine
Liyan Chen, Beizhan Wang, Zhihong Zhang, Fan Lin, Yihan Ma
2016 J jnl
Discriminative Lasso.
Cogn. Comput.
Zhihong Zhang, Jianbing Xiahou, Zheng-Jian Bai, Edwin R. Hancock, Da Zhou, Sibao Chen, Liyan Chen
2016 J jnl
Discriminative sparse representation for face recognition.
Multim. Tools Appl.
Zhihong Zhang, Yuanheng Liang, Lu Bai, Edwin R. Hancock
2016 B conf
Face image super-resolution via weighted patches regression.
ICPR
Yiping Zhang, Zhihong Zhang, Guosheng Hu, Edwin R. Hancock
2016 J jnl
High-order graph matching kernel for early carcinoma EUS image classification.
Multim. Tools Appl.
Zhihong Zhang, Lu Bai, Peng Ren, Edwin R. Hancock
2016 — conf
P2P Lending Analysis Using the Most Relevant Graph-Based Features.
S+SSPR
Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock
2015 A* conf
A Graph Kernel Based on the Jensen-Shannon Representation Alignment.
IJCAI
Lu Bai, Zhihong Zhang, Chaoyan Wang, Xiao Bai, Edwin R. Hancock
2015 — conf
A High-Order Depth-Based Graph Matching Method.
CAIP (1)
Lu Bai, Zhihong Zhang, Peng Ren, Edwin R. Hancock
2015 — conf
A Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks.
GbRPR
Lu Bai, Luca Rossi, Peng Ren, Zhihong Zhang, Edwin R. Hancock
2015 — conf
Adaptive Graph Learning for Unsupervised Feature Selection.
CAIP (1)
Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock
2015 A* conf
An Aligned Subtree Kernel for Weighted Graphs.
ICML
Lu Bai, Luca Rossi, Zhihong Zhang, Edwin R. Hancock
2015 — conf
An Edge-Based Matching Kernel Through Discrete-Time Quantum Walks.
ICIAP (1)
Lu Bai, Zhihong Zhang, Peng Ren, Luca Rossi, Edwin R. Hancock
2015 — conf
An Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs.
CAIP (2)
Lu Bai, Zhihong Zhang, Chaoyan Wang, Edwin R. Hancock
2015 — conf
Coupled-Feature Hypergraph Representation for Feature Selection.
GbRPR
Zhihong Zhang, Jianbing Xiahou, Lu Bai, Edwin R. Hancock
2015 — conf
Isometric Mapping Hashing.
GbRPR
Yanzhen Liu, Xiao Bai, Haichuan Yang, Zhou Jun, Zhihong Zhang
2015 J jnl
Semisupervised Hyperspectral Band Selection Via Spectral-Spatial Hypergraph Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xiao Bai, Zhouxiao Guo, Yanyang Wang, Zhihong Zhang, Jun Zhou
2015 — conf
Unsupervised Feature Selection by Graph Optimization.
ICIAP (1)
Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock
2015 — conf
Unsupervised feature selection by joint graph learning.
ChinaSIP
Zhihong Zhang, Jianbing Xiahou, Yuanheng Liang, Yuhan Chen
2014 A* conf
Adaptive Object Retrieval with Kernel Reconstructive Hashing.
CVPR
Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng
2013 B conf
A hypergraph based semi-supervised band selection method for hyperspectral image classification.
ICIP
Zhouxiao Guo, Xiao Bai, Zhihong Zhang, Jun Zhou
2013 C conf
Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models.
IGARSS
Zhouxiao Guo, Haichuan Yang, Xiao Bai, Zhihong Zhang, Jun Zhou
2012 B conf
Face recognition using semi-supervised spectral feature selection.
ICPR
Zhihong Zhang, Edwin R. Hancock
2012 — conf
Hypergraph Spectra for Semi-supervised Feature Selection.
ECML/PKDD (1)
Zhihong Zhang, Edwin R. Hancock, Xiao Bai
2012 — conf
Hypergraph Spectra for Unsupervised Feature Selection.
SSPR/SPR
Zhihong Zhang, Edwin R. Hancock
2012 J jnl
Hypergraph based information-theoretic feature selection.
Pattern Recognit. Lett.
Zhihong Zhang, Edwin R. Hancock
2012 B conf
Hypergraph based semi-supervised learning for gender classification.
ICPR
Zhihong Zhang, Edwin R. Hancock, Peng Ren
2012 J jnl
Kernel Entropy-Based Unsupervised spectral Feature Selection.
Int. J. Pattern Recognit. Artif. Intell.
Zhihong Zhang, Edwin R. Hancock
2012 — conf
Localized Graph-Based Feature Selection for Clustering.
ICIAR (1)
Zhihong Zhang, Edwin R. Hancock
2012 A conf
Unsupervised Feature Selection Via Hypergraph Embedding.
BMVC
Zhihong Zhang, Peng Ren, Edwin R. Hancock
2012 B conf
Unsupervised spectral feature selection for face recognition.
ICPR
Zhihong Zhang, Edwin R. Hancock
2011 — conf
A Graph-Based Approach to Feature Selection.
GbRPR
Zhihong Zhang, Edwin R. Hancock
2011 — conf
A Hypergraph-Based Approach to Feature Selection.
CAIP (1)
Zhihong Zhang, Edwin R. Hancock
2011 — conf
An information theoretic approach to gender feature selection.
ICCV Workshops
Zhihong Zhang, Edwin R. Hancock, Jing Wu
2011 Misc conf
Feature Selection for Gender Classification.
IbPRIA
Zhihong Zhang, Edwin R. Hancock
2011 — conf
Mutual Information Criteria for Feature Selection.
SIMBAD
Zhihong Zhang, Edwin R. Hancock