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2020 – today
- 2022
[j82]Dachao Lin
, Ruoyu Sun, Zhihua Zhang:
On the landscape of one-hidden-layer sparse networks and beyond. Artif. Intell. 309: 103739 (2022)- [j81]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) - [j80]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) - [c119]Hao Cheng, Zhihua Zhang:
MR-P: A Parallel Decoding Algorithm for Iterative Refinement Non-Autoregressive Translation. ACL (Findings) 2022: 285-296 - [c118]Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang:
Federated Reinforcement Learning with Environment Heterogeneity. AISTATS 2022: 18-37 - [c117]Xiang Li, Jiadong Liang, Xiangyu Chang, Zhihua Zhang:
Statistical Estimation and Online Inference via Local SGD. COLT 2022: 1613-1661 - [c116]Yimin Huang, Yujun Li, Hanrong Ye, Zhenguo Li, Zhihua Zhang:
Improving Model Training with Multi-fidelity Hyperparameter Evaluation. MLSys 2022 - [i61]Kun Chen, Dachao Lin, Zhihua Zhang:
Global Convergence Analysis of Deep Linear Networks with A One-neuron Layer. CoRR abs/2201.02761 (2022) - [i60]Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang:
Federated Reinforcement Learning with Environment Heterogeneity. CoRR abs/2204.02634 (2022) - [i59]Dachao Lin, Zhihua Zhang:
On the Convergence of Policy in Unregularized Policy Mirror Descent. CoRR abs/2205.08176 (2022) - [i58]Yizheng Hu, Zhihua Zhang:
Sparse Adversarial Attack in Multi-agent Reinforcement Learning. CoRR abs/2205.09362 (2022) - 2021
- [j79]Pingping Bing, Wei Liu, Zhihua Zhang:
DeepCEDNet: An Efficient Deep Convolutional Encoder-Decoder Networks for ECG Signal Enhancement. IEEE Access 9: 56699-56708 (2021) - [j78]Zhihua Zhang, Juliana Miehle, Yuki Matsuda, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, Wolfgang Minker:
Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System. IEEE Access 9: 74778-74788 (2021) - [j77]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) - [j76]Haishan Ye, Luo Luo, Zhihua Zhang:
Approximate Newton Methods. J. Mach. Learn. Res. 22: 66:1-66:41 (2021) - [j75]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) - [j74]Haishan Ye, Luo Luo, Zhihua Zhang:
Accelerated Proximal Subsampled Newton Method. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4374-4388 (2021) - [c115]Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, Weizhu Chen:
Memory-Efficient Differentiable Transformer Architecture Search. ACL/IJCNLP (Findings) 2021: 4254-4264 - [c114]Yuekai Zhao, Shuchang Zhou, Zhihua Zhang:
Multi-split Reversible Transformers Can Enhance Neural Machine Translation. EACL 2021: 244-254 - [c113]Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang:
Communication-Efficient Distributed SVD via Local Power Iterations. ICML 2021: 6504-6514 - [c112]Atsushi Miyaji, Tomokazu Matsui, Zhihua Zhang, Hyuckjin Choi, Manato Fujimoto, Keiichi Yasumoto:
Analysis on Nursing Care Activity Related Stress Level for Reduction of Caregiving Workload. ICPP Workshops 2021: 4:1-4:8 - [c111]Dachao Lin, Ruoyu Sun, Zhihua Zhang:
Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data. NeurIPS 2021: 4647-4660 - [c110]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
- [j73]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) - [j72]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) - [j71]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) - [j70]Pingping Bing, Wei Liu, Zhong Wang, Zhihua Zhang:
Noise Reduction in ECG Signal Using an Effective Hybrid Scheme. IEEE Access 8: 160790-160801 (2020) - [j69]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) - [j68]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) - [j67]Zhihua Zhang, Yongmin Mu:
Fault Localization Based on Hybrid Genetic Simulated Annealing Algorithm. J. Comput. Inf. Technol. 28(2): 101-109 (2020) - [j66]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) - [j65]Haishan Ye, Luo Luo, Zhihua Zhang:
Nesterov's Acceleration for Approximate Newton. J. Mach. Learn. Res. 21: 142:1-142:37 (2020) - [j64]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) - [j63]Zhihua Zhang, Thomas Leifeld, Ping Zhang:
Reduced-Order Observer Design for Boolean Control Networks. IEEE Trans. Autom. Control. 65(1): 434-441 (2020) - [j62]Zhihua Zhang, Thomas Leifeld, Ping Zhang:
Reconstructibility Analysis and Observer Design for Boolean Control Networks. IEEE Trans. Control. Netw. Syst. 7(1): 516-528 (2020) - [c109]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 - [c108]Xiang Li, Shusen Wang, Zhihua Zhang:
Do Subsampled Newton Methods Work for High-Dimensional Data? AAAI 2020: 4723-4730 - [c107]Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu:
Efficient Spectrum-Revealing CUR Matrix Decomposition. AISTATS 2020: 766-775 - [c106]Chao Tian, Yifei Wang, Hao Cheng, Yijiang Lian, Zhihua Zhang:
Train Once, and Decode As You Like. COLING 2020: 280-293 - [c105]Yuekai Zhao, Haoran Zhang, Shuchang Zhou, Zhihua Zhang:
Active Learning Approaches to Enhancing Neural Machine Translation: An Empirical Study. EMNLP (Findings) 2020: 1796-1806 - [c104]Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang:
On the Convergence of FedAvg on Non-IID Data. ICLR 2020 - [c103]Guangzeng Xie, Luo Luo, Yijiang Lian, Zhihua Zhang:
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems. ICML 2020: 10504-10513 - [c102]Haruka Wada, Zhihua Zhang, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto:
Implementation and Field Evaluation of Location-based Nursing Record System QuickCareRecord. ISMICT 2020: 1-6 - [c101]Zhihua Zhang, Yuki Matsuda, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto:
Embedding Additional Behaviors into Users' Daily Routines for Improving Users' Awareness of Self-Health Condition. BCSS@PERSUASIVE 2020 - [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
- [j61]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) - [j60]Thomas Leifeld, Zhihua Zhang, Ping Zhang:
Overview and comparison of approaches towards an algebraic description of discrete event systems. Annu. Rev. Control. 48: 80-88 (2019) - [j59]Zhihua Zhang, Yuta Takahashi, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto:
Investigating effects of interactive signage-based stimulation for promoting behavior change. Comput. Intell. 35(3): 643-668 (2019) - [j58]Zhihua Zhang, Chaoli Wang, Xuan Cai:
Consensus control of higher-order nonlinear multi-agent systems with unknown control directions. Neurocomputing 359: 122-129 (2019) - [j57]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) - [j56]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) - [j55]Haishan Ye, Guangzeng Xie, Luo Luo, Zhihua Zhang:
Fast stochastic second-order method logarithmic in condition number. Pattern Recognit. 88: 629-642 (2019) - [j54]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) - [c100]Zhihua Zhang, Thomas Leifeld, Ping Zhang:
An improved algorithm for stabilization of Boolean networks via pinning control. CDC 2019: 114-119 - [c99]Thomas Leifeld, Benedikt Venn, Shaoxuan Cui, Zhihua Zhang, Timo Mühlhaus, Ping Zhang:
Curve form based quantization of short time series data. ECC 2019: 3710-3715 - [c98]Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang:
Lipschitz Generative Adversarial Nets. ICML 2019: 7584-7593 - [c97]Manato Fujimoto, Haruka Wada, Zhihua Zhang:
A Proposal of Care Planning Infrastructure Platform for Reducing Burden on Caretakers in Nursing Homes. ICPP Workshops 2019: 2:1-2:4 - [c96]Haruka Wada, Zhihua Zhang, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto:
QuickCareRecord: Efficient Care Recording Application with Location-based Automatic View Transition and Information Complement. ISMICT 2019: 1-6 - [c95]Wenhao Yang, Xiang Li, Zhihua Zhang:
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning. NeurIPS 2019: 5938-5948 - [c94]Zhihua Zhang, Yutaka Arakawa, Harri Oinas-Kukkonen:
Design of Behavior Change Environment with Interactive Signage Having Active Talk Function. PerCom Workshops 2019: 796-801 - [c93]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 - [c92]Ran Chen, Zhihua Zhang, Ping Zhang, Michael Mangold:
Fault Tolerant Control for Hexacopter with Reducing Yaw Rate. SysTol 2019: 171-176 - [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
- [j53]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) - [j52]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) - [j51]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) - [j50]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) - [j49]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) - [j48]Zhihua Zhang, Thomas Leifeld, Ping Zhang:
Finite Horizon Tracking Control of Boolean Control Networks. IEEE Trans. Autom. Control. 63(6): 1708-1715 (2018) - [c91]Shenjian Zhao, Zhihua Zhang:
Attention-via-Attention Neural Machine Translation. AAAI 2018: 563-570 - [c90]Thomas Leifeld, Zhihua Zhang, Ping Zhang:
Data-Driven Controller Design for Boolean Control Networks. ACC 2018: 3044-3049 - [c89]Zhihua Zhang, Thomas Leifeld, Ping Zhang:
Active Fault Detection of Boolean Control Networks. ACC 2018: 5001-5006 - [c88]Zhihua Zhang, Yuta Takahashi, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto:
Investigating User Reactions to Interactive-signage-based Stimulation Toward Behavior Change. ICMU 2018: 1-6 - [c87]Luo Luo, Wenpeng Zhang, Zhihua Zhang, Wenwu Zhu, Tong Zhang, Jian Pei:
Sketched Follow-The-Regularized-Leader for Online Factorization Machine. KDD 2018: 1900-1909 - [c86]Zhanqi Cui, Xiang Chen, Yongmin Mu, Zhihua Zhang, Xu Ma:
Mining Function Call Sequence Patterns Across Different Versions of the Project for Defect Detection. SATE 2018: 154-169 - [i28]Guangzeng Xie, Yitan Wang, Shuchang Zhou, Zhihua Zhang:
Interpolatron: Interpolation or Extrapolation Schemes to Accelerate Optimization for Deep Neural Networks. CoRR abs/1805.06753 (2018) - [i27]Zehao Dou, Zhihua Zhang:
Hierarchical Attention: What Really Counts in Various NLP Tasks. CoRR abs/1808.03728 (2018) - 2017
- [j47]Zhihua Zhang, Hongliang Zhu, Shoushan Luo, Yang Xin, Xiaoming Liu:
Intrusion Detection Based on State Context and Hierarchical Trust in Wireless Sensor Networks. IEEE Access 5: 12088-12102 (2017) - [j46]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. 21(6): 1463-1485 (2017) - [j45]Gang Wang, Chaoli Wang, Lin Li, Zhihua Zhang:
Designing distributed consensus protocols for second-order nonlinear multi-agents with unknown control directions under directed graphs. J. Frankl. Inst. 354(1): 571-592 (2017) - [j44]Zhanqi Cui, Yongmin Mu, Zhihua Zhang, Weiguang Wang:
基于函数调用序列模式挖掘的程序缺陷检测 (Defects Detection Based on Mining Function Call Sequence Patterns). 计算机科学 44(11): 226-231 (2017) - [j43]Haishan Ye, Yujun Li, Cheng Chen, Zhihua Zhang:
Fast Fisher discriminant analysis with randomized algorithms. Pattern Recognit. 72: 82-92 (2017) - [c85]Zihao Chen, Luo Luo, Zhihua Zhang:
Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features. AAAI 2017: 1812-1818 - [c84]Tianfan Fu, Zhihua Zhang:
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC. AISTATS 2017: 841-850 - [c83]Zhihua Zhang, Thomas Leifeld, Ping Zhang:
Distributed observer design for large-scale Boolean control networks. ACC 2017: 2618-2623 - [c82]Zhihua Zhang, Thomas Leifeld, Ping Zhang:
Identification of boolean control networks incorporating prior knowledge. CDC 2017: 5839-5844 - [c81]Haishan Ye, Luo Luo, Zhihua Zhang:
Approximate Newton Methods and Their Local Convergence. ICML 2017: 3931-3939 - [c80]Xiao Sun, Liming Shi, Zhihua Zhang, Haibin Zhu:
The thrust fluctuation suppression of segmented double sided linear induction motor. IECON 2017: 3693-3697 - [i26]Haishan Ye, Luo Luo, Zhihua Zhang:
A Unifying Framework for Convergence Analysis of Approximate Newton Methods. CoRR abs/1702.08124 (2017) - [i25]Luo Luo, Cheng Chen, Zhihua Zhang, Wu-Jun Li:
Online Learning Via Regularized Frequent Directions. CoRR abs/1705.05067 (2017) - [i24]Haishan Ye, Zhihua Zhang:
Nesterov's Acceleration For Approximate Newton. CoRR abs/1710.08496 (2017) - 2016
- [j42]Xiaoxiao Yun, Lili Xia, Bixia Tang, Hui Zhang, Feifei Li, Zhihua Zhang:
3CDB: a manually curated database of chromosome conformation capture data. Database J. Biol. Databases Curation 2016 (2016) - [j41]Zhihua Zhang, Sheng Zheng, Hanqing Shi, Zhiqiang Fan:
Inversion for Refractivity Parameters Using a Dynamic Adaptive Cuckoo Search with Crossover Operator Algorithm. Comput. Intell. Neurosci. 2016: 3208724:1-3208724:10 (2016) - [j40]Zhihua Zhang:
A Key to Genome Maze in 3D. Genom. Proteom. Bioinform. 14(1): 4-6 (2016) - [j39]Shusen Wang, Luo Luo, Zhihua Zhang:
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions. J. Mach. Learn. Res. 17: 49:1-49:49 (2016) - [j38]Shusen Wang, Zhihua Zhang, Tong Zhang:
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition. J. Mach. Learn. Res. 17: 210:1-210:49 (2016) - [j37]Bingxiang Xu, Zhihua Zhang:
Computational inference of physical spatial organization of eukaryotic genomes. Quant. Biol. 4(4): 302-309 (2016) - [c79]