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Zhi-Hua Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Zhihua Zhang 0001
![[0000-0002-9387-7308]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9387-7308")
— Kaiserslautern University of Technology, Germany - Zhihua Zhang 0002 — Nara Institute of Science and Technology, Nara, Japan (and 1 more)
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2020 – today
- 2023
[j100]Luqi Zhang, Zhihua Zhang, Jiuyan Zhang, Xin Qiao, Zhenchao Zhang, Bisheng Yang, Zhen Dong:
Object-based 3D building change detection using point-level change indicators. Int. J. Appl. Earth Obs. Geoinformation 118: 103293 (2023)- [j99]Luqi Zhang, Zhihua Zhang, Jiuyan Zhang, Xin Qiao, Zhenchao Zhang, Bisheng Yang, Zhen Dong:
Corrigendum to "Object-based 3D building change detection using point-level change indicators" [Int. J. Appl. Earth Observ. Geoinf. 118 (2023) 103293]. Int. J. Appl. Earth Obs. Geoinformation 120: 103356 (2023) - [j98]Lei Sun, Gongming Wang, Zhihua Zhang:
SimCH: simulation of single-cell RNA sequencing data by modeling cellular heterogeneity at gene expression level. Briefings Bioinform. 24(1) (2023) - [j97]Haiyun Guo, Huayu Yang, Guojing Yuan, Zhihui Zhu, Kexin Zhang, Xueqing Zhang, Xiaoyan Lu, Jianghui Zhang, Jun Du, Haiyan Shi, Guifang Jin, Jiahu Hao, Ying Sun, Puyu Su, Zhihua Zhang:
Effectiveness of information and communication technology(ICT) for addictive behaviors: An umbrella review of systematic reviews and meta-analysis of randomized controlled trials. Comput. Hum. Behav. 147: 107843 (2023) - [j96]Haishan Ye, Dachao Lin, Xiangyu Chang, Zhihua Zhang:
Towards explicit superlinear convergence rate for SR1. Math. Program. 199(1): 1273-1303 (2023) - [j95]Yuzhuo Wang, Haitao Liu, Haojie Yuan, Zhihua Zhang:
Comprehensive evaluation of software system reliability based on component-based generalized G-O models. PeerJ Comput. Sci. 9: e1247 (2023) - [j94]Zhihua Zhang, Yuyang Sang:
Bidirectional quantum teleportation in multi-hop communication network. Quantum Inf. Process. 22(5): 201 (2023) - [j93]Zhihua Zhang, Xin Wang, Daren Lyu:
Estimation of Moist Atmospheric Profiles from Refraction and Attenuation Measurements by Using Centimeter and Millimeter Wave Links between LEO Satellites. Remote. Sens. 15(2): 391 (2023) - [c116]Xiang Li, Wenhao Yang, Jiadong Liang, Zhihua Zhang, Michael I. Jordan:
A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning. AISTATS 2023: 2207-2261 - [c115]Jiadong Liang, Yuze Han, Xiang Li, Zhihua Zhang:
Complete Asymptotic Analysis for Projected Stochastic Approximation and Debiased Variants. Allerton 2023: 1 - [c114]Chuhan Xie, Wenhao Yang, Zhihua Zhang:
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes. ICML 2023: 38227-38257 - [c113]Gaoyi Lin, Zhihua Zhang, Zhanqi Cui:
Widget Hierarchy Graph Guided Crash Reproduction Method for Android Applications (S). SEKE 2023: 584-587 - [i74]Wenhao Yang, Han Wang, Tadashi Kozuno, Scott M. Jordan, Zhihua Zhang:
Avoiding Model Estimation in Robust Markov Decision Processes with a Generative Model. CoRR abs/2302.01248 (2023) - [i73]Dachao Lin, Yuze Han, Haishan Ye, Zhihua Zhang:
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis. CoRR abs/2304.07504 (2023) - [i72]Liangyu Zhang, Yang Peng, Wenhao Yang, Zhihua Zhang:
Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning. CoRR abs/2305.00254 (2023) - [i71]Hao Cheng, Meng Zhang, Liangyou Li, Qun Liu, Zhihua Zhang:
End-to-end Training and Decoding for Pivot-based Cascaded Translation Model. CoRR abs/2305.02261 (2023) - [i70]Hao Cheng, Meng Zhang, Weixuan Wang, Liangyou Li, Qun Liu, Zhihua Zhang:
Evaluating the Efficacy of Length-Controllable Machine Translation. CoRR abs/2305.02300 (2023) - [i69]Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. CoRR abs/2305.18455 (2023) - [i68]Weijian Luo, Boya Zhang, Zhihua Zhang:
Entropy-based Training Methods for Scalable Neural Implicit Sampler. CoRR abs/2306.04952 (2023) - [i67]Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Training Energy-Based Models with Diffusion Contrastive Divergences. CoRR abs/2307.01668 (2023) - [i66]Boya Zhang, Weijian Luo, Zhihua Zhang:
Enhancing Adversarial Robustness via Score-Based Optimization. CoRR abs/2307.04333 (2023) - [i65]Yuhang Zhang, Yue Liu, Zhihua Zhang:
Constructing Synthetic Treatment Groups without the Mean Exchangeability Assumption. CoRR abs/2309.16409 (2023) - [i64]Liangyu Zhang, Yang Peng, Jiadong Liang, Wenhao Yang, Zhihua Zhang:
Estimation and Inference in Distributional Reinforcement Learning. CoRR abs/2309.17262 (2023) - [i63]Boya Zhang, Weijian Luo, Zhihua Zhang:
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness. CoRR abs/2310.18762 (2023) - 2022
- [j92]Zhihua Zhang, Hao Wang, Kun Wang, Yilong Zhao:
Contribution Mechanism and Impact Analysis of AC System at the Diode Natural Commutation and Conduction Stage During Bipolar Short-Circuit Fault for Single-Terminal VSC-Based DC Distribution Networks. IEEE Access 10: 74082-74102 (2022) - [j91]Dongdong Feng, Zhihua Zhang, Kun Yan:
A Semantic Segmentation Method for Remote Sensing Images Based on the Swin Transformer Fusion Gabor Filter. IEEE Access 10: 77432-77451 (2022) - [j90]Dachao Lin, Ruoyu Sun, Zhihua Zhang:
On the landscape of one-hidden-layer sparse networks and beyond. Artif. Intell. 309: 103739 (2022) - [j89]Bingxiang Xu, Xiaoli Li, Xiaomeng Gao, Yan Jia, Jing Liu, Feifei Li, Zhihua Zhang:
DeNOPA: decoding nucleosome positions sensitively with sparse ATAC-seq data. Briefings Bioinform. 23(1) (2022) - [j88]Zhihua Zhang:
Frequency domain of weakly translation invariant frame MRAs. Int. J. Wavelets Multiresolution Inf. Process. 20(4): 2150059:1-2150059:12 (2022) - [j87]Dachao Lin, Haishan Ye, Zhihua Zhang:
Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods. J. Mach. Learn. Res. 23: 162:1-162:40 (2022) - [j86]Zhihua Zhang, Difeng Wang, Yinhe Cheng, Fang Gong:
Long-Term Changes and Factors That Influence Changes in Thermal Discharge from Nuclear Power Plants in Daya Bay, China. Remote. Sens. 14(3): 763 (2022) - [j85]Zequan Hou, Zhihua Zhang, Yizhao Wang, Jiandong Duan, Wanying Yan, Wenchao Lu:
A Single-Phase High-Impedance Ground Faulty Feeder Detection Method for Small Resistance to Ground Systems Based on Current-Voltage Phase Difference. Sensors 22(12): 4646 (2022) - [c112]Hao Cheng, Zhihua Zhang:
MR-P: A Parallel Decoding Algorithm for Iterative Refinement Non-Autoregressive Translation. ACL (Findings) 2022: 285-296 - [c111]Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang:
Federated Reinforcement Learning with Environment Heterogeneity. AISTATS 2022: 18-37 - [c110]Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang:
Statistical Estimation and Online Inference via Local SGD. COLT 2022: 1613-1661 - [c109]Hao Cheng, Zhihua Zhang:
Con-NAT: Contrastive Non-autoregressive Neural Machine Translation. EMNLP (Findings) 2022: 6219-6231 - [c108]Kun Chen, Dachao Lin, Zhihua Zhang:
On Non-local Convergence Analysis of Deep Linear Networks. ICML 2022: 3417-3443 - [c107]Yimin Huang, Yujun Li, Hanrong Ye, Zhenguo Li, Zhihua Zhang:
Improving Model Training with Multi-fidelity Hyperparameter Evaluation. MLSys 2022 - [c106]Jiadong Liang, Yuze Han, Xiang Li, Zhihua Zhang:
Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective. NeurIPS 2022 - [c105]Shiyun Lin, Yuze Han, Xiang Li, Zhihua Zhang:
Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness. NeurIPS 2022 - [c104]Chuhan Xie, Zhihua Zhang:
A Statistical Online Inference Approach in Averaged Stochastic Approximation. NeurIPS 2022 - [c103]Liangyu Zhang, Yang Peng, Wenhao Yang, Zhihua Zhang:
Semi-infinitely Constrained Markov Decision Processes. NeurIPS 2022 - [i62]Kun Chen, Dachao Lin, Zhihua Zhang:
Global Convergence Analysis of Deep Linear Networks with A One-neuron Layer. CoRR abs/2201.02761 (2022) - [i61]Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang:
Federated Reinforcement Learning with Environment Heterogeneity. CoRR abs/2204.02634 (2022) - [i60]Dachao Lin, Zhihua Zhang:
On the Convergence of Policy in Unregularized Policy Mirror Descent. CoRR abs/2205.08176 (2022) - [i59]Yizheng Hu, Zhihua Zhang:
Sparse Adversarial Attack in Multi-agent Reinforcement Learning. CoRR abs/2205.09362 (2022) - [i58]Miao Lu, Wenhao Yang, Liangyu Zhang, Zhihua Zhang:
Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach. CoRR abs/2209.05186 (2022) - 2021
- [j84]Pingping Bing, Wei Liu, Zhihua Zhang:
DeepCEDNet: An Efficient Deep Convolutional Encoder-Decoder Networks for ECG Signal Enhancement. IEEE Access 9: 56699-56708 (2021) - [j83]Kun Yan, Zhihua Zhang:
Automated Asphalt Highway Pavement Crack Detection Based on Deformable Single Shot Multi-Box Detector Under a Complex Environment. IEEE Access 9: 150925-150938 (2021) - [j82]Haishan Ye, Luo Luo, Zhihua Zhang:
Approximate Newton Methods. J. Mach. Learn. Res. 22: 66:1-66:41 (2021) - [j81]Jianguo Niu, Lawrence E. Flynn, Trevor Beck, Zhihua Zhang, Eric Beach:
Evaluation and Improvement of the Near-Real-Time Linear Fit SO2 Retrievals From Suomi NPP Ozone Mapping and Profiler Suite. IEEE Trans. Geosci. Remote. Sens. 59(1): 101-113 (2021) - [j80]Haishan Ye, Luo Luo, Zhihua Zhang:
Accelerated Proximal Subsampled Newton Method. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4374-4388 (2021) - [c102]Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen:
Memory-Efficient Differentiable Transformer Architecture Search. ACL/IJCNLP (Findings) 2021: 4254-4264 - [c101]Yuekai Zhao, Shuchang Zhou, Zhihua Zhang:
Multi-split Reversible Transformers Can Enhance Neural Machine Translation. EACL 2021: 244-254 - [c100]Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang:
Communication-Efficient Distributed SVD via Local Power Iterations. ICML 2021: 6504-6514 - [c99]Dachao Lin, Ruoyu Sun, Zhihua Zhang:
Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data. NeurIPS 2021: 4647-4660 - [c98]Dachao Lin, Haishan Ye, Zhihua Zhang:
Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence. NeurIPS 2021: 6646-6657 - [i57]Xiang Li, Zhihua Zhang:
Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications. CoRR abs/2101.01505 (2021) - [i56]Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang:
Privacy-Preserving Distributed SVD via Federated Power. CoRR abs/2103.00704 (2021) - [i55]Guangzeng Xie, Yuze Han, Zhihua Zhang:
DIPPA: An improved Method for Bilinear Saddle Point Problems. CoRR abs/2103.08270 (2021) - [i54]Yuze Han, Guangzeng Xie, Zhihua Zhang:
Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction. CoRR abs/2103.08280 (2021) - [i53]Guangzeng Xie, Hao Jin, Dachao Lin, Zhihua Zhang:
Meta-Regularization: An Approach to Adaptive Choice of the Learning Rate in Gradient Descent. CoRR abs/2104.05447 (2021) - [i52]Wenhao Yang, Zhihua Zhang:
Non-asymptotic Performances of Robust Markov Decision Processes. CoRR abs/2105.03863 (2021) - [i51]Dachao Lin, Zhihua Zhang:
Directional Convergence Analysis under Spherically Symmetric Distribution. CoRR abs/2105.03879 (2021) - [i50]Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen:
Memory-Efficient Differentiable Transformer Architecture Search. CoRR abs/2105.14669 (2021) - [i49]Luo Luo, Guangzeng Xie, Tong Zhang, Zhihua Zhang:
Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization. CoRR abs/2106.01761 (2021) - [i48]Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang:
Statistical Estimation and Inference via Local SGD in Federated Learning. CoRR abs/2109.01326 (2021) - [i47]Haishan Ye, Dachao Lin, Zhihua Zhang:
Greedy and Random Broyden's Methods with Explicit Superlinear Convergence Rates in Nonlinear Equations. CoRR abs/2110.08572 (2021) - [i46]Xiang Li, Wenhao Yang, Zhihua Zhang, Michael I. Jordan:
Polyak-Ruppert Averaged Q-Leaning is Statistically Efficient. CoRR abs/2112.14582 (2021) - 2020
- [j79]Wei Liu, Wei Chen, Zhihua Zhang:
A Novel Fault Diagnosis Approach for Rolling Bearing Based on High-Order Synchrosqueezing Transform and Detrended Fluctuation Analysis. IEEE Access 8: 12533-12541 (2020) - [j78]Zhihua Zhang, Kun Wang, Qianpeng Zhao, Yongtao Tian, Lianghuan Li:
Positive Sequence Current Phase-Based Improved Reverse-Power Protection and a PV Hosting Capacity Assessment Method for Spot Networks. IEEE Access 8: 42529-42539 (2020) - [j77]Zhihua Zhang, Zeqi Qu, Jie Yang:
Optimal Harmonic Measuring Device Placement in Distribution Networks in Consideration of Topology Changes. IEEE Access 8: 85339-85347 (2020) - [j76]Pingping Bing, Wei Liu, Zhong Wang, Zhihua Zhang:
Noise Reduction in ECG Signal Using an Effective Hybrid Scheme. IEEE Access 8: 160790-160801 (2020) - [j75]Pingping Bing, Wei Liu, Zhihua Zhang:
A Robust Random Noise Suppression Method for Seismic Data Using Sparse Low-Rank Estimation in the Time-Frequency Domain. IEEE Access 8: 183546-183556 (2020) - [j74]Junfeng Liu, Ziyang An, Jianjun Luo, Jing Li, Feifei Li, Zhihua Zhang:
Episo: quantitative estimation of RNA 5-methylcytosine at isoform level by high-throughput sequencing of RNA treated with bisulfite. Bioinform. 36(7): 2033-2039 (2020) - [j73]Zhihua Zhang, Yongmin Mu:
Fault Localization Based on Hybrid Genetic Simulated Annealing Algorithm. J. Comput. Inf. Technol. 28(2): 101-109 (2020) - [j72]Xuan Cai, Chaoli Wang, Gang Wang, Luyan Xu, Jiehan Liu, Zhihua Zhang:
Leader-following consensus control of position-constrained multiple Euler-Lagrange systems with unknown control directions. Neurocomputing 409: 208-216 (2020) - [j71]Haishan Ye, Luo Luo, Zhihua Zhang:
Nesterov's Acceleration for Approximate Newton. J. Mach. Learn. Res. 21: 142:1-142:37 (2020) - [j70]Zengguo Sun, Zhihua Zhang, Yuli Chen, Shigang Liu, Yunjing Song:
Frost Filtering Algorithm of SAR Images With Adaptive Windowing and Adaptive Tuning Factor. IEEE Geosci. Remote. Sens. Lett. 17(6): 1097-1101 (2020) - [c97]Mengqing Wang, Zhihua Zhang, Jialei Liu, Li Duan, Chunhong Liu:
Deep Unsupervised Workload Sequence Anomaly Detection with Fusion of Spatial and Temporal Features in the Cloud. CLOUD 2020: 141-148 - [c96]Xiang Li, Shusen Wang, Zhihua Zhang:
Do Subsampled Newton Methods Work for High-Dimensional Data? AAAI 2020: 4723-4730 - [c95]Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu:
Efficient Spectrum-Revealing CUR Matrix Decomposition. AISTATS 2020: 766-775 - [c94]Chao Tian, Yifei Wang, Hao Cheng, Yijiang Lian, Zhihua Zhang:
Train Once, and Decode As You Like. COLING 2020: 280-293 - [c93]Yuekai Zhao, Haoran Zhang, Shuchang Zhou, Zhihua Zhang:
Active Learning Approaches to Enhancing Neural Machine Translation: An Empirical Study. EMNLP (Findings) 2020: 1796-1806 - [c92]Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang:
On the Convergence of FedAvg on Non-IID Data. ICLR 2020 - [c91]Guangzeng Xie, Luo Luo, Yijiang Lian, Zhihua Zhang:
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems. ICML 2020: 10504-10513 - [i45]Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang:
Communication-Efficient Distributed SVD via Local Power Iterations. CoRR abs/2002.08014 (2020) - [i44]Yimin Huang, Yujun Li, Zhenguo Li, Zhihua Zhang:
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization. CoRR abs/2007.05670 (2020) - [i43]Jiadong Liang, Liangyu Zhang, Cheng Zhang, Zhihua Zhang:
Intervention Generative Adversarial Networks. CoRR abs/2008.03712 (2020) - [i42]Dachao Lin, Peiqin Sun, Guangzeng Xie, Shuchang Zhou, Zhihua Zhang:
Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond. CoRR abs/2008.13128 (2020) - [i41]Dachao Lin, Ruoyu Sun, Zhihua Zhang:
Landscape of Sparse Linear Network: A Brief Investigation. CoRR abs/2009.07439 (2020) - [i40]Wenhao Yang, Xiang Li, Guangzeng Xie, Zhihua Zhang:
Finding the Near Optimal Policy via Adaptive Reduced Regularization in MDPs. CoRR abs/2011.00213 (2020)
2010 – 2019
- 2019
- [j69]Zhanqi Cui, Xiang Chen, Liwei Zheng, Zhihua Zhang, Yongmin Mu:
Detecting Defects Based on Mining and Confirming Programming Patterns From Different Versions of Projects. IEEE Access 7: 144280-144291 (2019) - [j68]Zhihua Zhang, Chaoli Wang, Xuan Cai:
Consensus control of higher-order nonlinear multi-agent systems with unknown control directions. Neurocomputing 359: 122-129 (2019) - [j67]Xuan Cai, Chaoli Wang, Gang Wang, Yu Li, Luyan Xu, Zhihua Zhang:
Distributed low-complexity output feedback tracking control for nonlinear multi-agent systems with unmodeled dynamics and prescribed performance. Int. J. Syst. Sci. 50(6): 1229-1243 (2019) - [j66]Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li, Tong Zhang:
Robust Frequent Directions with Application in Online Learning. J. Mach. Learn. Res. 20: 45:1-45:41 (2019) - [j65]Haishan Ye, Guangzeng Xie, Luo Luo, Zhihua Zhang:
Fast stochastic second-order method logarithmic in condition number. Pattern Recognit. 88: 629-642 (2019) - [j64]Xiao Sun, Liming Shi, Zhihua Zhang, Haibin Zhu:
Thrust Control of a Double-Sided Linear Induction Motor With Segmented Power Supply. IEEE Trans. Ind. Electron. 66(6): 4891-4900 (2019) - [c90]Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang:
Lipschitz Generative Adversarial Nets. ICML 2019: 7584-7593 - [c89]Wenhao Yang, Xiang Li, Zhihua Zhang:
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning. NeurIPS 2019: 5938-5948 - [c88]Jianjian Yang, Xiaolin Wang, Qiang Zhang, Chao Wang, Zhihua Zhang, Yang Liu, Dunwei Gong, Miao Wu:
Research on Fault Diagnosis Method Based on RSAPSO-DBN. ICSI (2) 2019: 292-300 - [i39]Xiang Li, Shusen Wang, Zhihua Zhang:
Do Subsampled Newton Methods Work for High-Dimensional Data? CoRR abs/1902.04952 (2019) - [i38]Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang:
Lipschitz Generative Adversarial Nets. CoRR abs/1902.05687 (2019) - [i37]Xiang Li, Wenhao Yang, Zhihua Zhang:
A Unified Framework for Regularized Reinforcement Learning. CoRR abs/1903.00725 (2019) - [i36]Tianle Cai, Ruiqi Gao, Jikai Hou, Siyu Chen, Dong Wang, Di He, Zhihua Zhang, Liwei Wang:
A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems. CoRR abs/1905.11675 (2019) - [i35]Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang:
On the Convergence of FedAvg on Non-IID Data. CoRR abs/1907.02189 (2019) - [i34]Hao Jin, Dachao Lin, Zhihua Zhang:
Towards Better Generalization: BP-SVRG in Training Deep Neural Networks. CoRR abs/1908.06395 (2019) - [i33]Guangzeng Xie, Luo Luo, Zhihua Zhang:
A General Analysis Framework of Lower Complexity Bounds for Finite-Sum Optimization. CoRR abs/1908.08394 (2019) - [i32]Luo Luo, Cheng Chen, Yujun Li, Guangzeng Xie, Zhihua Zhang:
A Stochastic Proximal Point Algorithm for Saddle-Point Problems. CoRR abs/1909.06946 (2019) - [i31]Bin Dong, Jikai Hou, Yiping Lu, Zhihua Zhang:
Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network. CoRR abs/1910.01255 (2019) - [i30]Xiang Li, Wenhao Yang, Shusen Wang, Zhihua Zhang:
Communication Efficient Decentralized Training with Multiple Local Updates. CoRR abs/1910.09126 (2019) - [i29]Haishan Ye, Shusen Wang, Zhihua Zhang, Tong Zhang:
Fast Generalized Matrix Regression with Applications in Machine Learning. CoRR abs/1912.12008 (2019) - 2018
- [j63]Xiaoming Chen, Jiazhi Tang, Teng Li, Shitao Zhu, Yuxin Ren, Zhihua Zhang, Anxue Zhang:
Reverberation Chambers for Over-the-Air Tests: An Overview of Two Decades of Research. IEEE Access 6: 49129-49143 (2018) - [j62]Bixia Tang, Feifei Li, Jing Li, Wenming Zhao, Zhihua Zhang:
Delta: a new web-based 3D genome visualization and analysis platform. Bioinform. 34(8): 1409-1410 (2018) - [j61]Beiyang Zhang, Xiedong Zhang, Zhihua Zhang:
Nested-Stacking Genetic Algorithm for the Optimal Placement of Sensors in Bridge. Comput. J. 61(9): 1269-1283 (2018) - [j60]Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes:
A scalable community detection algorithm for large graphs using stochastic block models. Intell. Data Anal. 22(1) (2018) - [j59]Hongliang Zhu, Zhihua Zhang, Juan Du, Shoushan Luo, Yang Xin:
Detection of selective forwarding attacks based on adaptive learning automata and communication quality in wireless sensor networks. Int. J. Distributed Sens. Networks 14(11) (2018) - [j58]Zhihua Zhang, Shoushan Luo, Hongliang Zhu, Yang Xin:
A Clone Detection Algorithm with Low Resource Expenditure for Wireless Sensor Networks. J. Sensors 2018: 4396381:1-4396381:16 (2018) - [c87]Shenjian Zhao, Zhihua Zhang:
Attention-via-Attention Neural Machine Translation. AAAI 2018: 563-570 - [c86]