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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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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2020 – today
- 2022
[j36]Yang Cong, Xiangqing Xiao, Kai Zhong, Jinfeng Hu:
The phase only beamforming synthesis via an accelerated coordinate descent method. Digit. Signal Process. 128: 103624 (2022)- [j35]Kai Zhong
, Jinfeng Hu, Cunhua Pan, Xianxiang Yu, Xinghe Li:
MIMO Radar Beampattern Design Based on Manifold Optimization Method. IEEE Commun. Lett. 26(5): 1086-1090 (2022) - [j34]Yijian Zhang, Tong Wu, Xianzhong Zhang, Yue Sun, Yu Wang, Shijie Li, Xinqi Li, Kai Zhong, Zhaoai Yan, Degang Xu, Jianquan Yao:
Rayleigh Lidar Signal Denoising Method Combined with WT, EEMD and LOWESS to Improve Retrieval Accuracy. Remote. Sens. 14(14): 3270 (2022) - [j33]Jinfeng Hu, Weijian Zhang, Haoming Zhu, Kai Zhong, Weijie Xiong, Zhiyong Wei, Yuzhi Li:
Constant modulus waveform design for MIMO radar via manifold optimization. Signal Process. 190: 108322 (2022) - [j32]Xiaodong Na, Min Han, Weijie Ren, Kai Zhong:
Modified BBO-Based Multivariate Time-Series Prediction System With Feature Subset Selection and Model Parameter Optimization. IEEE Trans. Cybern. 52(4): 2163-2173 (2022) - [j31]Kai Zhong, ZhiBang Yang, Guoqing Xiao, Xingpei Li, Wangdong Yang, Kenli Li:
An Efficient Parallel Reinforcement Learning Approach to Cross-Layer Defense Mechanism in Industrial Control Systems. IEEE Trans. Parallel Distributed Syst. 33(11): 2979-2990 (2022) - [j30]Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang:
A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. ACM Trans. Reconfigurable Technol. Syst. 15(3): 24:1-24:31 (2022) - [c28]Mian Guo, Kai Zhong, Xiaozhi Wang:
Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects. CACRE 2022: 216-222 - [c27]Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang:
Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators. DATE 2022: 652-657 - [c26]Lang Wu, Ruoyu Jia, Kai Zhong, Zhongwei Li, Junyun Shang, Hua Luo:
A Robust and Accurate Post-Validation Voting Scheme for Ranking 3D Correspondences. ICCAI 2022: 618-624 - [c25]Xi Li, Lang Wu, Kai Zhong, Zhongwei Li:
Local Correspondence Clustering, Global Pose Verification: Efficient and Robust 3D Object Recognition. ICCDA 2022: 61-67 - [c24]Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. WWW 2022: 452-461 - 2021
- [j29]Lang Wu, Kai Zhong, Zhongwei Li, Ming Zhou, Hongbin Hu, Congjun Wang, Yusheng Shi:
PPTFH: Robust Local Descriptor Based on Point-Pair Transformation Features for 3D Surface Matching. Sensors 21(9): 3229 (2021) - [j28]Xiaoyue Yang, Xinyu Qiao, Chao Cheng, Kai Zhong, Hongtian Chen:
A Tutorial on Hardware-Implemented Fault Injection and Online Fault Diagnosis for High-Speed Trains. Sensors 21(17): 5957 (2021) - [j27]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. ACM Trans. Design Autom. Electr. Syst. 26(5): 40:1-40:46 (2021) - [c23]Yanchun Cui, Kai Zhong, Ansheng Yin:
Trust Evaluation Algorithm based on Association Rule Extraction. CSP 2021: 50-54 - [c22]Collins Mathews, Kenny Ye, Jake Grozdanovski, Marcus Marinelli, Kai Zhong, Hourieh Khalajzadeh, Humphrey O. Obie, John Grundy:
AH-CID: A Tool to Automatically Detect Human-Centric Issues in App Reviews. ICSOFT 2021: 386-397 - [c21]Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon:
Extreme Multi-label Learning for Semantic Matching in Product Search. KDD 2021: 2643-2651 - [i15]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. CoRR abs/2102.03357 (2021) - [i14]Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. CoRR abs/2106.02697 (2021) - [i13]Nianhui Guo, Joseph Bethge, Haojin Yang, Kai Zhong, Xuefei Ning, Christoph Meinel, Yu Wang:
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks. CoRR abs/2106.06991 (2021) - [i12]Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon:
Extreme Multi-label Learning for Semantic Matching in Product Search. CoRR abs/2106.12657 (2021) - [i11]Mian Guo, Kai Zhong, Xiaozhi Wang:
Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects. CoRR abs/2112.12984 (2021) - 2020
- [j26]Fengfeng Zhang, Shi Zhang, Kai Zhong, Lingtao Yu, Li-ning Sun:
Design of Navigation System for Liver Surgery Guided by Augmented Reality. IEEE Access 8: 126687-126699 (2020) - [j25]Kai Zhong, Junzhu Ma, Min Han:
Online prediction of noisy time series: Dynamic adaptive sparse kernel recursive least squares from sparse and adaptive tracking perspective. Eng. Appl. Artif. Intell. 91: 103547 (2020) - [j24]Kai Zhong, Min Han, Bing Han:
Data-driven based fault prognosis for industrial systems: a concise overview. IEEE CAA J. Autom. Sinica 7(2): 330-345 (2020) - [j23]Kai Zhong, Xu Zhou, Liqian Zhou, ZhiBang Yang, Chubo Liu, Na Xiao:
An efficient parallel direction-based clustering algorithm. J. Parallel Distributed Comput. 145: 24-33 (2020) - [j22]Kai Zhong, Min Han, Tie Qiu, Bing Han, Yen-Wei Chen:
Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference. IEEE Trans. Control. Syst. Technol. 28(5): 2037-2044 (2020) - [j21]Kai Zhong, Min Han, Tie Qiu, Bing Han:
Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1581-1591 (2020) - [c20]Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FCCM 2020: 102-110 - [c19]Shulin Zeng, Guohao Dai, Kai Zhong, Hanbo Sun, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FPGA 2020: 317 - [c18]Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon:
Taming Pretrained Transformers for Extreme Multi-label Text Classification. KDD 2020: 3163-3171 - [i10]Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. CoRR abs/2003.12101 (2020) - [i9]Kai Zhong, Tianchen Zhao, Xuefei Ning, Shulin Zeng, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Towards Lower Bit Multiplication for Convolutional Neural Network Training. CoRR abs/2006.02804 (2020) - [i8]Hsiang-Fu Yu, Kai Zhong, Inderjit S. Dhillon:
PECOS: Prediction for Enormous and Correlated Output Spaces. CoRR abs/2010.05878 (2020)
2010 – 2019
- 2019
- [j20]QingQing Wen, Xiaoming Zhang, Haiyang Tong, Hongyi Yang, Kai Zhong:
Fractional Order Anisotropy at 9.4 T. J. Medical Imaging Health Informatics 9(5): 904-910 (2019) - [j19]Xu Cheng, Xingjian Liu, Zhongwei Li, Kai Zhong, Liya Han, Wantao He, Wanbing Gan, Guoqing Xi, Congjun Wang, Yusheng Shi:
High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry. Sensors 19(3): 668 (2019) - [j18]Ran Chen, Zhongwei Li, Kai Zhong, Xingjian Liu, Yonghui Wu, Congjun Wang, Yusheng Shi:
A Stereo-Vision System for Measuring the Ram Speed of Steam Hammers in an Environment with a Large Field of View and Strong Vibrations. Sensors 19(5): 996 (2019) - [j17]Liya Han, Zhongwei Li, Kai Zhong, Xu Cheng, Hua Luo, Gang Liu, Junyun Shang, Congjun Wang, Yusheng Shi:
Vibration Detection and Motion Compensation for Multi-Frequency Phase-Shifting-Based 3D Sensors. Sensors 19(6): 1368 (2019) - [j16]Min Han, Kai Zhong, Tie Qiu, Bing Han:
Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview. IEEE Trans. Cybern. 49(7): 2720-2731 (2019) - [c17]Kai Zhong, Zhao Song, Prateek Jain, Inderjit S. Dhillon:
Provable Non-linear Inductive Matrix Completion. NeurIPS 2019: 11435-11445 - [i7]Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon:
A Modular Deep Learning Approach for Extreme Multi-label Text Classification. CoRR abs/1905.02331 (2019) - 2018
- [j15]Kai Zhong, Guorui Feng, Liquan Shen, Jun Luo:
Deep learning for steganalysis based on filter diversity selection. Sci. China Inf. Sci. 61(12): 129105:1-129105:3 (2018) - [j14]Meifeng Liu, Guoyun Zhong, Yueshun He, Kai Zhong, Hongmao Chen, Mingliang Gao:
Fast HEVC Inter-Prediction Algorithm Based on Matching Block Features. Int. J. Mob. Comput. Multim. Commun. 9(1): 40-61 (2018) - [j13]Zhongwei Li, Xingjian Liu, Shifeng Wen, Piyao He, Kai Zhong, Qingsong Wei, Yusheng Shi, Sheng Liu:
In Situ 3D Monitoring of Geometric Signatures in the Powder-Bed-Fusion Additive Manufacturing Process via Vision Sensing Methods. Sensors 18(4): 1180 (2018) - [j12]Liya Han, Xu Cheng, Zhongwei Li, Kai Zhong, Yusheng Shi, Hao Jiang:
A Robot-Driven 3D Shape Measurement System for Automatic Quality Inspection of Thermal Objects on a Forging Production Line. Sensors 18(12): 4368 (2018) - [c16]Bowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar:
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics. ICML 2018: 5527-5536 - [c15]Wei Ye, Meng Li, Kai Zhong, Bei Yu, David Z. Pan:
Power Grid Reduction by Sparse Convex Optimization. ISPD 2018: 60-67 - [c14]Ian En-Hsu Yen, Wei-Cheng Lee, Kai Zhong, Sung-En Chang, Pradeep Ravikumar, Shou-De Lin:
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization. NeurIPS 2018: 10891-10899 - [i6]Kai Zhong, Zhao Song, Prateek Jain, Inderjit S. Dhillon:
Nonlinear Inductive Matrix Completion based on One-layer Neural Networks. CoRR abs/1805.10477 (2018) - [i5]Bowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar:
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics. CoRR abs/1806.00640 (2018) - 2017
- [j11]Yingbai Xie, Kai Zhong:
Investigation on the Performances of Vuilleumier Cycle Heat Pump Adopting Mixture Refrigerants. Entropy 19(9): 446 (2017) - [j10]Kai Zhong, Qiqi Yang, Song Zhu:
New algebraic conditions for ISS of memristive neural networks with variable delays. Neural Comput. Appl. 28(8): 2089-2097 (2017) - [c13]Kai Zhong, Ruiqi Guo, Sanjiv Kumar, Bowei Yan, David Simcha, Inderjit S. Dhillon:
Fast Classification with Binary Prototypes. AISTATS 2017: 1255-1263 - [c12]Kai Zhong, Zhao Song, Prateek Jain, Peter L. Bartlett, Inderjit S. Dhillon:
Recovery Guarantees for One-hidden-layer Neural Networks. ICML 2017: 4140-4149 - [c11]Kai Zhong, Prateek Jain, Ashish Kapoor:
Fast second-order cone programming for safe mission planning. ICRA 2017: 79-86 - [i4]Kai Zhong, Zhao Song, Prateek Jain, Peter L. Bartlett, Inderjit S. Dhillon:
Recovery Guarantees for One-hidden-layer Neural Networks. CoRR abs/1706.03175 (2017) - [i3]Kai Zhong, Zhao Song, Inderjit S. Dhillon:
Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels. CoRR abs/1711.03440 (2017) - 2016
- [j9]Kai Zhong, Song Zhu, Qiqi Yang:
Further results for global exponential stability of stochastic memristor-based neural networks with time-varying delays. Int. J. Syst. Sci. 47(15): 3573-3580 (2016) - [j8]Arnaud Vandaele, Nicolas Gillis, Qi Lei, Kai Zhong, Inderjit S. Dhillon:
Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization. IEEE Trans. Signal Process. 64(21): 5571-5584 (2016) - [c10]Meng Li, Jin Miao, Kai Zhong, David Z. Pan:
Practical public PUF enabled by solving max-flow problem on chip. DAC 2016: 164:1-164:6 - [c9]Ian En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar, Kai Zhong, Inderjit S. Dhillon:
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification. ICML 2016: 3069-3077 - [c8]Qi Lei, Kai Zhong, Inderjit S. Dhillon:
Coordinate-wise Power Method. NIPS 2016: 2056-2064 - [c7]Kai Zhong, Prateek Jain, Inderjit S. Dhillon:
Mixed Linear Regression with Multiple Components. NIPS 2016: 2190-2198 - [c6]Ian En-Hsu Yen, Xiangru Huang, Kai Zhong, Ruohan Zhang, Pradeep Ravikumar, Inderjit S. Dhillon:
Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain. NIPS 2016: 5024-5032 - [i2]Kai Zhong, Prateek Jain, Ashish Kapoor:
Fast Second-order Cone Programming for Safe Mission Planning. CoRR abs/1609.05243 (2016) - 2015
- [c5]Kai Zhong, Prateek Jain, Inderjit S. Dhillon:
Efficient Matrix Sensing Using Rank-1 Gaussian Measurements. ALT 2015: 3-18 - [c4]Ian En-Hsu Yen, Xin Lin, Kai Zhong, Pradeep Ravikumar, Inderjit S. Dhillon:
A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models. ICML 2015: 2418-2426 - [c3]Ian En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh, Pradeep Ravikumar, Inderjit S. Dhillon:
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent. NIPS 2015: 2368-2376 - [i1]Arnaud Vandaele, Nicolas Gillis, Qi Lei, Kai Zhong, Inderjit S. Dhillon:
Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization. CoRR abs/1509.01404 (2015) - 2014
- [j7]Song Zhu, Kai Zhong, Yi Shen:
Robustness analysis for parameter matrices of global exponential stability time varying delay systems. Appl. Math. Comput. 237: 386-395 (2014) - [j6]Song Zhu, Kai Zhong, Yufeng Zhang:
Robustness analysis for parameter matrices of global exponential stable stochastic time varying delay systems. Commun. Nonlinear Sci. Numer. Simul. 19(1): 128-138 (2014) - [j5]Yong Xu, Weiwei Luo, Kai Zhong, Song Zhu:
Mean square input-to-state stability of a general class of stochastic recurrent neural networks with Markovian switching. Neural Comput. Appl. 25(7-8): 1657-1663 (2014) - [j4]Weiwei Luo, Kai Zhong, Song Zhu, Yi Shen:
Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances. Neural Networks 53: 127-133 (2014) - [c2]Kai Zhong, Zhongwei Li, Xiaohui Zhou, Guomin Zhan, Xingjian Liu, Yusheng Shi, Congjun Wang:
Real-time 3D shape measurement system with full temporal resolution and spatial resolution. Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2014: 901309 - [c1]Kai Zhong, Ian En-Hsu Yen, Inderjit S. Dhillon, Pradeep Ravikumar:
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators. NIPS 2014: 2375-2383 - 2011
- [j3]Kai Zhong, Thomas Ernst, Steven Buchthal, Oliver Speck, Lynn Anderson, Linda Chang:
Phase contrast imaging in neonates. NeuroImage 55(3): 1068-1072 (2011)
2000 – 2009
- 2008
- [j2]Kai Zhong, Jochen Leupold, Dominik von Elverfeldt, Oliver Speck:
The molecular basis for gray and white matter contrast in phase imaging. NeuroImage 40(4): 1561-1566 (2008) - 2007
- [j1]Jürgen Hennig, Kai Zhong, Oliver Speck:
MR-Encephalography: Fast multi-channel monitoring of brain physiology with magnetic resonance. NeuroImage 34(1): 212-219 (2007)
Coauthor Index
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