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ORCIDYongjun He
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
- 2024
[c17]Danrui Qi, Jinglin Peng, Yongjun He, Jiannan Wang:
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data. EDBT 2024: 129-142- 2023
- [j45]Bo Ding
, Yufei Fan, Yongjun He, Jing Zhao:
Enhanced VAEGAN: a zero-shot image classification method. Appl. Intell. 53(8): 9235-9246 (2023) - [j44]Luyang Han, Yongjun He, Bolin Liao, Cheng Hua:
An Accelerated Double-Integral ZNN with Resisting Linear Noise for Dynamic Sylvester Equation Solving and Its Application to the Control of the SFM Chaotic System. Axioms 12(3): 287 (2023) - [j43]Jing Zhao, Yongjun He, Shu-Hang Zhou, Jian Qin, Yining Xie:
CNSeg: A dataset for cervical nuclear segmentation. Comput. Methods Programs Biomed. 241: 107732 (2023) - [j42]Yongjun He, Jinfei Wang, Chunhua Liao, Xin Zhou, Bo Shan:
MS4D-Net: Multitask-Based Semi-Supervised Semantic Segmentation Framework with Perturbed Dual Mean Teachers for Building Damage Assessment from High-Resolution Remote Sensing Imagery. Remote. Sens. 15(2): 478 (2023) - [j41]Lin Xiao, Yongjun He, Yiwei Li, Jianhua Dai:
Design and Analysis of Two Nonlinear ZNN Models for Matrix LR and QR Factorization With Application to 3-D Moving Target Location. IEEE Trans. Ind. Informatics 19(6): 7424-7434 (2023) - [j40]Lin Xiao, Yongjun He, Yaonan Wang, Jianhua Dai, Ran Wang, Wensheng Tang:
A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2413-2424 (2023) - [c16]Fan Qian, Jiqing Han, Yongjun He, Tieran Zheng, Guibin Zheng:
Sentiment Knowledge Enhanced Self-supervised Learning for Multimodal Sentiment Analysis. ACL (Findings) 2023: 12966-12978 - [i5]Qiang Huang, Jiawei Jiang, Susie Xi Rao, Ce Zhang, Zhichao Han, Zitao Zhang, Xin Wang, Yongjun He, Quanqing Xu, Yang Zhao, Chuang Hu, Shuo Shang, Bo Du:
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks. CoRR abs/2308.16385 (2023) - 2022
- [j39]Yongjun He, Lin Xiao, Fuchun Sun, Yaonan Wang:
A variable-parameter ZNN with predefined-time convergence for dynamic complex-valued Lyapunov equation and its application to AOA positioning. Appl. Soft Comput. 130: 109703 (2022) - [j38]Jian Qin, Yongjun He, Yang Zhou, Jing Zhao, Bo Ding:
REU-Net: Region-enhanced nuclei segmentation network. Comput. Biol. Medicine 146: 105546 (2022) - [j37]Lin Xiao, Yongjun He, Bolin Liao:
A parameter-changing zeroing neural network for solving linear equations with superior fixed-time convergence. Expert Syst. Appl. 208: 118086 (2022) - [j36]Bolin Liao, Yuyan Wang, Jianfeng Li, Dongsheng Guo, Yongjun He:
Harmonic Noise-Tolerant ZNN for Dynamic Matrix Pseudoinversion and Its Application to Robot Manipulator. Frontiers Neurorobotics 16 (2022) - [j35]Lin Xiao, Ping Liu, Yongjun He, Lei Jia, Juan Tao:
A novel ZNN model for fast synchronisation of chaos systems with external disturbances. Neurocomputing 491: 197-205 (2022) - [j34]Dapeng Lang, Deyun Chen, Sizhao Li, Yongjun He:
An Adversarial Attack Method against Specified Objects Based on Instance Segmentation. Inf. 13(10): 465 (2022) - [j33]Jianhua Dai, Ping Tan, Xing Yang, Lin Xiao, Lei Jia, Yongjun He:
A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations. Knowl. Based Syst. 242: 108405 (2022) - [j32]Yongjun He, Jinfei Wang, Chunhua Liao, Bo Shan, Xin Zhou:
ClassHyPer: ClassMix-Based Hybrid Perturbations for Deep Semi-Supervised Semantic Segmentation of Remote Sensing Imagery. Remote. Sens. 14(4): 879 (2022) - [j31]Xin Zhou, Jinfei Wang, Yongjun He, Bo Shan:
Crop Classification and Representative Crop Rotation Identifying Using Statistical Features of Time-Series Sentinel-1 GRD Data. Remote. Sens. 14(20): 5116 (2022) - [j30]Yongjun He, Jinfei Wang, Ying Zhang, Chunhua Liao:
Enhancement of Urban Floodwater Mapping From Aerial Imagery With Dense Shadows via Semisupervised Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9086-9101 (2022) - [j29]Lin Xiao, Sai Liu, Xin Wang, Yongjun He, Lei Jia, Yang Xu:
Zeroing Neural Networks for Dynamic Quaternion-Valued Matrix Inversion. IEEE Trans. Ind. Informatics 18(3): 1562-1571 (2022) - [j28]Jianhua Dai, Yuanmeng Chen, Lin Xiao, Lei Jia, Yongjun He:
Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion. IEEE Trans. Ind. Informatics 18(4): 2434-2442 (2022) - [j27]Jing Zhao, Yongjun He, Si-Qi Zhao, Jinjie Huang, Wangmeng Zuo:
AL-Net: Attention Learning Network Based on Multi-Task Learning for Cervical Nucleus Segmentation. IEEE J. Biomed. Health Informatics 26(6): 2693-2702 (2022) - [j26]Jian Qin, Yongjun He, Jinping Ge, Yiqin Liang:
A Multi-Task Feature Fusion Model for Cervical Cell Classification. IEEE J. Biomed. Health Informatics 26(9): 4668-4678 (2022) - [j25]Lin Xiao, Yongjun He, Jianhua Dai, Xinwang Liu, Bolin Liao, Haiyan Tan:
A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1535-1545 (2022) - [j24]Jun Yu, Jing Zhao, Huili Shao, Yu Lu, Yongjun He, Lejun Zhang:
Illumination compensation for microscope images based on illumination difference estimation. Vis. Comput. 38(5): 1775-1786 (2022) - [c15]Yi Mao, Yuyang Du, Yongjun He, Gengzhen Qi, Pui-In Mak:
A 0.5 to 2GHz Blocker-Tolerant Receiver Achieving 29dBm OOB-IIP3 and 3.2 to 6dB NF Using Bottom-Plate Switched-Capacitor Technique. APCCAS 2022: 82-85 - [c14]Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu:
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. KDD 2022: 3288-3298 - [c13]Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang:
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees. NeurIPS 2022 - [c12]Binhang Yuan, Yongjun He, Jared Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang:
Decentralized Training of Foundation Models in Heterogeneous Environments. NeurIPS 2022 - [i4]Binhang Yuan, Yongjun He, Jared Quincy Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang:
Decentralized Training of Foundation Models in Heterogeneous Environments. CoRR abs/2206.01288 (2022) - [i3]Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang:
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees. CoRR abs/2206.01299 (2022) - 2021
- [j23]Jiaxin Yu, Wenyuan Liu, Yongjun He, Chunyue Zhang:
A Mutually Auxiliary Multitask Model With Self-Distillation for Emotion-Cause Pair Extraction. IEEE Access 9: 26811-26821 (2021) - [j22]Jinjie Huang, Guihua Yang, Biao Li, Yongjun He, Yani Liang:
Segmentation of Cervical Cell Images Based on Generative Adversarial Networks. IEEE Access 9: 115415-115428 (2021) - [j21]Ji Lin, Wenjie Feng, Sergiy Yu. Reutskiy, Haifeng Xu, Yongjun He:
A new semi-analytical method for solving a class of time fractional partial differential equations with variable coefficients. Appl. Math. Lett. 112: 106712 (2021) - [j20]Lin Xiao, Yongjun He, Bolin Liao, Jianhua Dai:
An accelerated ZNN-based algorithm with piecewise time-varying parameters to solve time-variant linear equations. J. Comput. Appl. Math. 398: 113665 (2021) - [j19]Dapeng Lang, Deyun Chen, Ran Shi, Yongjun He:
Attention-Guided Digital Adversarial Patches on Visual Detection. Secur. Commun. Networks 2021: 6637936:1-6637936:11 (2021) - [j18]Lin Xiao, Juan Tao, Jianhua Dai, Yaonan Wang, Lei Jia, Yongjun He:
A Parameter-Changing and Complex-Valued Zeroing Neural-Network for Finding Solution of Time-Varying Complex Linear Matrix Equations in Finite Time. IEEE Trans. Ind. Informatics 17(10): 6634-6643 (2021) - [j17]Lin Xiao, Yongjun He:
A Noise-Suppression ZNN Model With New Variable Parameter for Dynamic Sylvester Equation. IEEE Trans. Ind. Informatics 17(11): 7513-7522 (2021) - [j16]Jing Zhao, Yining Xie, Lei Tang, Yongjun He:
Overlapping region reconstruction in nuclei image segmentation. Vis. Comput. 37(7): 1623-1635 (2021) - [i2]Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu:
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. CoRR abs/2111.05897 (2021) - 2020
- [j15]Tao Wang, Jinjie Huang, Dequan Zheng, Yongjun He:
Nucleus Segmentation of Cervical Cytology Images Based on Depth Information. IEEE Access 8: 75846-75859 (2020) - [j14]Baoyan Ma, Jian Zhang, Feng Cao, Yongjun He:
MACD R-CNN: An Abnormal Cell Nucleus Detection Method. IEEE Access 8: 166658-166669 (2020) - [j13]Bo Ding, Lei Tang, Zheng Gao, Yongjun He:
3D Shape Classification Using a Single View. IEEE Access 8: 200812-200822 (2020) - [j12]Bo Ding, Lei Tang, Yongjun He:
An Efficient 3D Model Retrieval Method Based on Convolutional Neural Network. Complex. 2020: 9050459:1-9050459:14 (2020) - [j11]Lin Xiao, Qian Yi, Qiuyue Zuo, Yongjun He:
Improved finite-time zeroing neural networks for time-varying complex Sylvester equation solving. Math. Comput. Simul. 178: 246-258 (2020) - [j10]Yongjun He, Jiacheng Lu, Tianzheng Wang:
CoroBase: Coroutine-Oriented Main-Memory Database Engine. Proc. VLDB Endow. 14(3): 431-444 (2020) - [j9]Zhong Zheng, Jinfei Wang, Bo Shan, Yongjun He, Chunhua Liao, Yanghua Gao, Shiqi Yang:
A New Model for Transfer Learning-Based Mapping of Burn Severity. Remote. Sens. 12(4): 708 (2020) - [j8]Chunhua Liao, Jinfei Wang, Qinghua Xie, Ayman Al Baz, Xiaodong Huang, Jiali Shang, Yongjun He:
Synergistic Use of Multi-Temporal RADARSAT-2 and VENµS Data for Crop Classification Based on 1D Convolutional Neural Network. Remote. Sens. 12(5): 832 (2020) - [c11]Yongjun He, Qian Yi, Bolin Liao, Lei Ding, Lin Xiao, Pei Liu:
A Variable Parameter Zeroing Neural Network for Resolving Time-Variant Quadratic Minimization with Preferable Performance. ICACI 2020: 38-43 - [c10]Alex Depoutovitch, Chong Chen, Jin Chen, Paul Larson, Shu Lin, Jack Ng, Wenlin Cui, Qiang Liu, Wei Huang, Yong Xiao, Yongjun He:
Taurus Database: How to be Fast, Available, and Frugal in the Cloud. SIGMOD Conference 2020: 1463-1478 - [i1]Yongjun He, Jiacheng Lu, Tianzheng Wang:
CoroBase: Coroutine-Oriented Main-Memory Database Engine. CoRR abs/2010.15981 (2020)
2010 – 2019
- 2019
- [j7]Chen Chen, Wei Wang, Yongjun He, Jiqing Han:
A bilevel framework for joint optimization of session compensation and classification for speaker identification. Digit. Signal Process. 89: 104-115 (2019) - 2018
- [c9]Pei Wang, Yongjun He, Ryan Shea, Jiannan Wang, Eugene Wu:
Deeper: A Data Enrichment System Powered by Deep Web. SIGMOD Conference 2018: 1801-1804 - 2016
- [j6]Yongjun He, Guanglu Sun, Jiqing Han:
Optimization of learned dictionary for sparse coding in speech processing. Neurocomputing 173: 471-482 (2016) - 2015
- [j5]Yongjun He, Guanglu Sun, Jiqing Han:
Spectrum enhancement with sparse coding for robust speech recognition. Digit. Signal Process. 43: 59-70 (2015) - [j4]Yongjun He, Deyun Chen, Guanglu Sun, Jiqing Han:
Dictionary evaluation and optimization for sparse coding based speech processing. Inf. Sci. 310: 77-96 (2015) - [c8]Jing Zang, Hu Liu, Zhizhong Zhao, Yongjun He:
Effectiveness evaluation-oriented transport aircraft mission simulation system. ICCAIS 2015: 475-480 - [c7]Yongjun He, Chen Chen, Jiqing Han:
Noise-robust speaker recognition based on morphological component analysis. INTERSPEECH 2015: 3001-3005 - 2014
- [j3]Yongjun He, Jiqing Han, Tieran Zheng, Guanglu Sun:
A new framework for robust speech recognition in complex channel environments. Digit. Signal Process. 32: 109-123 (2014) - [c6]Yongjun He, Guanglu Sun, Guibin Zheng, Jiqing Han:
Evaluation of dictionary for sparse coding in speech processing. INTERSPEECH 2014: 2361-2364 - 2012
- [c5]Yongjun He, Jiqing Han, Shiwen Deng, Tieran Zheng, Guibin Zheng:
A solution to residual noise in speech denoising with sparse representation. ICASSP 2012: 4653-4656 - 2011
- [j2]Yongjun He, Jiqing Han:
Gaussian Specific Compensation for Channel Distortion in Speech Recognition. IEEE Signal Process. Lett. 18(10): 599-602 (2011) - [c4]Yongjun He, Jiqing Han, Tieran Zheng, Guibin Zheng:
Compensation of partly reliable components for band-limited speech recognition with missing data techniques. ICASSP 2011: 5476-5479 - 2010
- [c3]Yongjun He, Jiqing Han:
Model synthesis for band-limited speech recognition. INTERSPEECH 2010: 558-561
2000 – 2009
- 2008
- [c2]Yongjun He, Xiaoyuan Jing:
Local IMLDA and its Improvements. CSSE (1) 2008: 1013-1016 - [c1]Xiaobing Xiong, Hui Shu, Jianmin Chen, Yongjun He:
Wetrp: A Platform for Recording of Windows Program Execution Traces. ISCSCT (1) 2008: 621-625
1990 – 1999
- 1993
- [j1]Yongjun He, Anni Cai, Jingao Sun:
Incremental backprojection algorithm: modification of the searching flow scheme and utilization of the relationship among projection views. IEEE Trans. Medical Imaging 12(3): 555-559 (1993)
Coauthor Index
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