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ORCIDKaixuan Zhang
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
- 2025
[j20]Dingyu Yang, Kangpeng Zheng, Shiyou Qian, Qin Hua, Kaixuan Zhang, Jian Cao, Guangtao Xue:
Mitigating interference of microservices with a scoring mechanism in large-scale clusters. J. Supercomput. 81(1): 104 (2025)- 2024
- [j19]Shuai Liu, Shuo Chen, Lanlan Xiao
, Kaixuan Zhang, Yuan Qi, Hao Li, Yuan Cheng, Zixin Hu, Chensen Lin:
Unraveling the motion and deformation characteristics of red blood cells in a deterministic lateral displacement device. Comput. Biol. Medicine 168: 107712 (2024) - [j18]Chengsi Luo, Kaixuan Zhang, Yeting Hu, Xiang Li, Shenghong Cao, Yu Jin, Peng Ren, Nini Rao:
Directional statistics-inspired end-to-end atrial fibrillation detection model based on ECG rhythm. Expert Syst. Appl. 247: 123112 (2024) - [j17]Shuying Wang, Jixi Lu, Yujie Qian, Bo Li, Kaixuan Zhang, Xihui Ye, Xiaoyan Gao:
Magnetic Field Coil Design Based on Distributed Taylor Expansion: Toward Large Uniform Area With High Orthogonality and Self-Shielding Feature. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j16]Kaixuan Zhang, Zhaochen Shi, Jana Zujovic, Huib de Ridder, René van Egmond, David L. Neuhoff, Thrasyvoulos N. Pappas:
Training and Testing Texture Similarity Metrics for Structurally Lossless Compression. IEEE Trans. Image Process. 33: 1614-1626 (2024) - [j15]Qixuan Cai, Xiulong Liu, Kaixuan Zhang, Xin Xie, Xinyu Tong, Keqiu Li:
ACF: An Adaptive Compression Framework for Multimodal Network in Embedded Devices. IEEE Trans. Mob. Comput. 23(5): 5195-5211 (2024) - 2023
- [j14]Kaixuan Zhang, Huimin Wang, Guangpu Wu, Zhipeng Zhipeng:
Resilient control for T-S fuzzy systems with multiple transmission channels under asynchronous denial-of-Service attacks. J. Frankl. Inst. 360(3): 2215-2233 (2023) - [j13]Mengjie Jiang, Kaixuan Zhang, Xuyang Lv, Lin Wang, Libo Zhang, Li Han, Huaizhong Xing:
Monolayer Graphene Terahertz Detector Integrated with Artificial Microstructure. Sensors 23(6): 3203 (2023) - [j12]Kaixuan Zhang, Jingxian Wang, Daizong Tian, Thrasyvoulos N. Pappas:
Film Grain Rendering and Parameter Estimation. ACM Trans. Graph. 42(4): 63:1-63:14 (2023) - [c17]Kaixuan Zhang, Zihan Liu, Jiashang Hu, Shilin Wang:
An Auto-Encoder Based Method for Camera Fingerprint Compression. ICASSP 2023: 1-5 - [i10]Boyan Li, Luziwei Leng, Ran Cheng, Shuaijie Shen, Kaixuan Zhang, Jianguo Zhang, Jianxing Liao:
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference. CoRR abs/2306.12465 (2023) - 2022
- [j11]Kaixuan Zhang, Xiulong Liu, Xin Xie, Jiuwu Zhang, Bingxin Niu, Keqiu Li:
A Cross-Domain Federated Learning Framework for Wireless Human Sensing. IEEE Netw. 36(5): 122-128 (2022) - [c16]Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang, Qinghai Guo, Luziwei Leng:
Discrete time convolution for fast event-based stereo. CVPR 2022: 8666-8676 - [c15]Kaiwei Che, Luziwei Leng, Kaixuan Zhang, Jianguo Zhang, Qinghu Meng, Jie Cheng, Qinghai Guo, Jianxing Liao:
Differentiable hierarchical and surrogate gradient search for spiking neural networks. NeurIPS 2022 - 2021
- [j10]Kaixuan Zhang, Qinglong Wang, C. Lee Giles:
An Entropy Metric for Regular Grammar Classification and Learning with Recurrent Neural Networks. Entropy 23(1): 127 (2021) - [j9]Kaixuan Zhang, Dongbao Zhao, Linlin Feng, Lianhai Cao:
Cycling Trajectory-Based Navigation Independent of Road Network Data Support. ISPRS Int. J. Geo Inf. 10(6): 398 (2021) - 2020
- [j8]Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles:
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks. Neural Comput. 32(7): 1355-1378 (2020) - [j7]Yutao Lu, Juan Wang, Miao Liu, Kaixuan Zhang, Guan Gui, Tomoaki Ohtsuki, Fumiyuki Adachi:
Semi-Supervised Machine Learning Aided Anomaly Detection Method in Cellular Networks. IEEE Trans. Veh. Technol. 69(8): 8459-8467 (2020) - [c14]Kaixuan Zhang, Qinglong Wang, C. Lee Giles:
Adversarial Models for Deterministic Finite Automata. Canadian AI 2020: 540-552 - [c13]Zejiang Shen, Kaixuan Zhang, Melissa Dell:
A Large Dataset of Historical Japanese Documents with Complex Layouts. CVPR Workshops 2020: 2336-2343 - [c12]Laiping Zhao, Yanan Yang, Kaixuan Zhang, Xiaobo Zhou, Tie Qiu, Keqiu Li, Yungang Bao:
Rhythm: component-distinguishable workload deployment in datacenters. EuroSys 2020: 19:1-19:17 - [c11]Kaixuan Zhang, Qinglong Wang, C. Lee Giles:
Deep Learning, Grammar Transfer, and Transportation Theory. ECML/PKDD (2) 2020: 609-623 - [c10]Guanghui Fan, Juan Wang, Kaixuan Zhang, Jun Zeng, Guan Gui:
Cellular Network Performance using Machine Learning based Quantitative Association Rule Mining Method. VTC Spring 2020: 1-5 - [c9]Kaixuan Zhang, Guanghui Fan, Jun Zeng, Guan Gui:
Lightweight Comprehensive Evaluation Method for Wireless User Perception Based on Random Forest. VTC Spring 2020: 1-5 - [i9]Zejiang Shen, Kaixuan Zhang, Melissa Dell:
A Large Dataset of Historical Japanese Documents with Complex Layouts. CoRR abs/2004.08686 (2020)
2010 – 2019
- 2019
- [j6]Kaixuan Zhang, Wenjuan Shi, Jun Zeng, Guanghui Fan, Yu Wang, Guan Gui:
WeUp: Wireless User Perception Based on Dimensional Reduction and Semi-Supervised Clustering. IEEE Access 7: 146037-146045 (2019) - [j5]Jun Zeng, Juan Wang, Liang Guo, Guanghui Fan, Kaixuan Zhang, Guan Gui:
Cell Scene Division and Visualization Based on Autoencoder and K-Means Algorithm. IEEE Access 7: 165217-165225 (2019) - [j4]Guanghui Fan, Wenjuan Shi, Liang Guo, Jun Zeng, Kaixuan Zhang, Guan Gui:
Machine Learning Based Quantitative Association Rule Mining Method for Evaluating Cellular Network Performance. IEEE Access 7: 166815-166822 (2019) - [j3]Kaixuan Zhang, Juan Wang, Wei Zhang, Ke Wang, Jun Zeng, Guanghui Fan, Guan Gui:
Random Forest Algorithm-Based Lightweight Comprehensive Evaluation for Wireless User Perception. IEEE Access 7: 173477-173484 (2019) - [c8]Kaixuan Zhang, Guanghui Fan, Jun Zeng, Guan Gui:
Identification of Wireless User Perception Based on Unsupervised Machine Learning. ADHIP (1) 2019: 507-515 - [i8]Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles:
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks. CoRR abs/1910.06509 (2019) - [i7]Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles:
Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata. CoRR abs/1911.04644 (2019) - 2018
- [j2]Yebin Zou, Yijin Chen, Jing He, Gehu Pang, Kaixuan Zhang:
4D Time Density of Trajectories: Discovering Spatiotemporal Patterns in Movement Data. ISPRS Int. J. Geo Inf. 7(6): 212 (2018) - [j1]Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks. Neural Comput. 30(9) (2018) - [c7]Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing:
Defending Against Adversarial Samples Without Security through Obscurity. ICDM 2018: 137-146 - [c6]Kaixuan Zhang, Yang Xu, Li Sun, Song Qiu, Qingli Li:
Person Re-id by Incorporating PCA Loss in CNN. MMM (2) 2018: 200-212 - [i6]Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity. CoRR abs/1801.05420 (2018) - [i5]Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles:
Verification of Recurrent Neural Networks Through Rule Extraction. CoRR abs/1811.06029 (2018) - 2017
- [c5]Kaixuan Zhang, Li Ding, Yujie Cai, Wenbo Yin, Fan Yang, Jun Tao, Lingli Wang:
A high performance real-time edge detection system with NEON. ASICON 2017: 847-850 - [c4]Kaixuan Zhang, Zhihua Feng, Hao Zhou:
A fast HDL model for full-custom FPGA verification. ASICON 2017: 989-992 - [c3]Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
Adversary Resistant Deep Neural Networks with an Application to Malware Detection. KDD 2017: 1145-1153 - [i4]Wenbo Guo, Kaixuan Zhang, Lin Lin, Sui Huang, Xinyu Xing:
Towards Interrogating Discriminative Machine Learning Models. CoRR abs/1705.08564 (2017) - [i3]Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
An Empirical Evaluation of Recurrent Neural Network Rule Extraction. CoRR abs/1709.10380 (2017) - 2016
- [i2]Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Xinyu Xing, C. Lee Giles, Xue Liu:
Random Feature Nullification for Adversary Resistant Deep Architecture. CoRR abs/1610.01239 (2016) - [i1]Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, C. Lee Giles, Xue Liu:
Learning Adversary-Resistant Deep Neural Networks. CoRR abs/1612.01401 (2016) - 2015
- [c2]Sheeg Wu, Min Zhang, Qiaojia Huang, Yannan Zhang, Cheng Wan, Kaixuan Zhang, Jun Cao, Zhipeng Gui, Kun Qin:
Design a web portal for visualizing and exploring service quality of global OGC Web Map Services. Geoinformatics 2015: 1-5
2000 – 2009
- 2006
- [c1]Jihao Yin, Xiaozhong Fan, Kaixuan Zhang, Jiangde Yu:
Chinese Organization Name Recognition Using Chunk Analysis. PACLIC 2006
Coauthor Index
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