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Long Jin
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.
Person information
Other persons with the same name
- Long Jin 0001 — Lanzhou University, Lanzhou, China
- Long Jin 0002 — Jinan University, Guangdong Provincial Key Laboratory of Fiber Optic Sensing and Communications, Guangzhou, China
- Long Jin 0003 — Hefei University of Technology, Hefei, China (and 1 more)
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2020 – today
- 2024
- [j19]Yi He, Tianbao Huo, Binghai Gao, Qing Zhu, Long Jin, Jian Chen, Qing Zhang, Jiapeng Tang:
Thaw Slump Susceptibility Mapping Based on Sample Optimization and Ensemble Learning Techniques in Qinghai-Tibet Railway Corridor. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 5443-5459 (2024) - [j18]Siqi Liang, Long Jin:
Distributed k-Winner-Take-All Network Under Weight-Unbalanced Topology. IEEE Trans. Circuits Syst. II Express Briefs 71(2): 717-721 (2024) - [j17]Xiufang Chen, Long Jin, Shuai Li:
An Online Learning Strategy for Echo State Network. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 644-655 (2024) - 2023
- [j16]Long Jin:
Serialized Recommendation Prediction for Steering Point Behavior of Intelligent Transportation Vehicles Based on Deep Learning. IEEE Trans. Intell. Transp. Syst. 24(11): 13350-13358 (2023) - [c38]Long Jin, Zhen Yao, Mingyang Chen, Huajun Chen, Wen Zhang:
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning. ISWC 2023: 290-308 - [i10]Long Jin, Zhen Yao, Mingyang Chen, Huajun Chen, Wen Zhang:
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning. CoRR abs/2308.07889 (2023) - [i9]Ziqi Yang, Zhongyu Li, Chen Liu, Xiangde Luo, Xingguang Wang, Dou Xu, Chaoqun Li, Xiaoying Qin, Meng Yang, Long Jin:
Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification. CoRR abs/2308.12737 (2023) - [i8]Zhiwei Huang, Long Jin, Junjie Wang, Mingchen Tu, Yin Hua, Zhiqiang Liu, Jiawei Meng, Huajun Chen, Wen Zhang:
Reliable Academic Conference Question Answering: A Study Based on Large Language Model. CoRR abs/2310.13028 (2023) - [i7]Huan Gui, Ruoxi Wang, Ke Yin, Long Jin, Maciej Kula, Taibai Xu, Lichan Hong, Ed H. Chi:
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems. CoRR abs/2311.05884 (2023) - [i6]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin:
NodeMixup: Tackling Under-Reaching for Graph Neural Networks. CoRR abs/2312.13032 (2023) - 2022
- [j15]Guancheng Wang, Zhihao Hao, Bob Zhang, Long Jin:
Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations. Inf. Sci. 588: 106-123 (2022) - [i5]Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen:
Decoupling the Depth and Scope of Graph Neural Networks. CoRR abs/2201.07858 (2022) - 2021
- [j14]Long Jin, Zhibin He, Ke-Wei Qian, Shiwei Yuan, Jiuyang Xiao, Yao Sun, Yangmiao Lin:
A novel enhanced isolation microstrip dual-polarization patch antenna. IEICE Electron. Express 18(17): 20210249 (2021) - [c37]Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo:
Balancing Consistency and Disparity in Network Alignment. KDD 2021: 2212-2222 - [c36]Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin:
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning. NeurIPS 2021: 9061-9073 - [c35]Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen:
Decoupling the Depth and Scope of Graph Neural Networks. NeurIPS 2021: 19665-19679 - 2020
- [j13]Xiaoxiao Dong, Kenji Uchino, Chunrong Jiang, Long Jin, Zhike Xu, Yue Yuan:
Electromechanical Equivalent Circuit Model of a Piezoelectric Disk Considering Three Internal Losses. IEEE Access 8: 181848-181854 (2020) - [j12]Tianyun Guo, Zhike Xu, Lei Huang, Minqiang Hu, Long Jin, Jianhua Wang:
Analytical Modeling and Performance Study of a Piezoelectric Laminated Annular Plate for Rotary Energy Harvesting. IEEE Access 8: 214966-214977 (2020) - [j11]Li Zhu, Long Jin, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Huimin Lu:
Blind Image Deblurring Based on Local Rank. Mob. Networks Appl. 25(4): 1446-1456 (2020) - [c34]Gong-yuan Du, Long Jin:
Design of SIW Filter Based on the Equivalent De-embedding Technique and Inverse Neural Network. MWSCAS 2020: 407-410 - [i4]Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin:
Revisiting Graph Neural Networks for Link Prediction. CoRR abs/2010.16103 (2020)
2010 – 2019
- 2019
- [c33]Sen Zhang, Zhihong Zhao, Jianfeng Zhao, Long Jin, Hong Wang, Haixiang Sun, Kangli Liu, Bin Yang:
Control Strategy for Dynamic Voltage Restorer Under Distorted and Unbalanced Voltage Conditions. ICIT 2019: 411-416 - 2018
- [b1]Long Jin:
Labeling Transformation and Introspective Learning with Convolutional Nets. University of California, San Diego, USA, 2018 - [j10]Yi Song, Long Jin, Haibo Wang:
Vegetation Changes along the Qinghai-Tibet Plateau Engineering Corridor Since 2000 Induced by Climate Change and Human Activities. Remote. Sens. 10(1): 95 (2018) - 2017
- [j9]Bai-ou Guan, Yang Ran, Fu-Rong Feng, Long Jin:
Formation and Applications of the Secondary Fiber Bragg Grating. Sensors 17(2): 398 (2017) - [c32]Zhe Sun, Zhixin Sun, Xuejian Zhao, Long Jin, Wei Zhang:
Application of Adaptive Genetic Algorithm for Multimodal Transportation Logistics Distribution Routing Problem. DASC/PiCom/DataCom/CyberSciTech 2017: 75-80 - [c31]Justin Lazarow, Long Jin, Zhuowen Tu:
Introspective Neural Networks for Generative Modeling. ICCV 2017: 2793-2802 - [c30]Long Jin, Justin Lazarow, Zhuowen Tu:
Introspective Classification with Convolutional Nets. NIPS 2017: 823-833 - [c29]Tianyin Xu, Xinxin Jin, Peng Huang, Yuanyuan Zhou, Shan Lu, Long Jin, Shankar Pasupathy:
Early Detection of Configuration Errors to Reduce Failure Damage. USENIX Annual Technical Conference 2017 - [i3]Long Jin, Justin Lazarow, Zhuowen Tu:
Introspective Classifier Learning: Empower Generatively. CoRR abs/1704.07816 (2017) - [i2]Justin Lazarow, Long Jin, Zhuowen Tu:
Introspective Generative Modeling: Decide Discriminatively. CoRR abs/1704.07820 (2017) - 2016
- [j8]Yayun Zhang, Long Jin, Lei Li:
Design of LPF using Hi-Lo interdigital DGS slot. IEICE Electron. Express 13(9): 20160175 (2016) - [j7]Jonguk Lee, Long Jin, Daihee Park, Yongwha Chung:
Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor. Sensors 16(5): 631 (2016) - [c28]Yang Yang, Long Jin:
Compact dual-polarized UWB-MIMO antenna with two band-notched function. ICCIP 2016: 206-210 - [c27]Tianyin Xu, Xinxin Jin, Peng Huang, Yuanyuan Zhou, Shan Lu, Long Jin, Shankar Pasupathy:
Early Detection of Configuration Errors to Reduce Failure Damage. OSDI 2016: 619-634 - [i1]Long Jin, Zeyu Chen, Zhuowen Tu:
Object Detection Free Instance Segmentation With Labeling Transformations. CoRR abs/1611.08991 (2016) - 2015
- [j6]Yiran Cui, Long Jin, Zhengheng Zhang, Lei Li:
Novel design of substrate integrated waveguide filter employing broadside-coupled complementary split ring resonators. IEICE Electron. Express 12(6): 20150188 (2015) - [j5]Jiansheng Wu, Long Jin, Mingzhe Liu:
Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm. Neurocomputing 148: 136-142 (2015) - [j4]Yi Song, Mingguo Ma, Long Jin, Xufeng Wang:
A Revised Temporal Scaling Method to Yield Better ET Estimates at a Regional Scale. Remote. Sens. 7(5): 6433-6453 (2015) - [c26]Tianyin Xu, Long Jin, Xuepeng Fan, Yuanyuan Zhou, Shankar Pasupathy, Rukma Talwadker:
Hey, you have given me too many knobs!: understanding and dealing with over-designed configuration in system software. ESEC/SIGSOFT FSE 2015: 307-319 - [c25]Juchao Zhuo, Zeqian Huang, Yunfeng Liu, Zhanhui Kang, Xun Cao, Mingzhi Li, Long Jin:
Semantic Matching in APP Search. WSDM 2015: 209-210 - 2014
- [j3]Xiaodong Xie, Jie Li, Lipeng Sun, Xiang Shen, Long Jin, Bai-ou Guan:
A High-Sensitivity Current Sensor Utilizing CrNi Wire and Microfiber Coils. Sensors 14(5): 8423-8429 (2014) - 2013
- [j2]Long Jin, Yang Chen, Tianyi Wang, Pan Hui, Athanasios V. Vasilakos:
Understanding user behavior in online social networks: a survey. IEEE Commun. Mag. 51(9) (2013) - [c24]Fengyuan Xu, Yunxin Liu, Thomas Moscibroda, Ranveer Chandra, Long Jin, Yongguang Zhang, Qun Li:
Optimizing background email sync on smartphones. MobiSys 2013: 55-68 - 2012
- [c23]Long Jin, Ying Huang:
A Particle Swarm Optimization-Neural Network Prediction Model for Typhoon Intensity Based on Isometric Mapping Algorithm. CSO 2012: 857-861 - [c22]Xiaoyan Huang, Long Jin, Ying Huang:
A Genetic-Neural Network Model Based on Multidimensional Scaling for Typhoon Intensity. CSO 2012: 872-876 - [c21]Xvming Shi, Xiaoyan Huang, Long Jin, Ying Huang:
An Neural Network Ensemble approach based on PSO algorithm and LLE for Typhoon Intensity. CSO 2012: 877-880 - [c20]Xiaojing Li, Hua-sheng Zhao, Long Jin:
An Algorithm for Global Optimization Problems Based on ABC-BFGS. CSO 2012: 881-884 - [c19]Hua-sheng Zhao, Long Jin, Ying Huang, Xiaoyan Huang:
An Application of Ensemble Prediction for Typhoon Intensity Based on MDS and PSO-ANN. CSO 2012: 885-888 - [c18]Long Jin, Ying Huang, Hua-sheng Zhao:
Ensemble prediction of monthly mean rainfall with a Particle Swarm Optimization-neural network model. IRI 2012: 287-294 - [c17]Jiansheng Wu, Zusong Lu, Long Jin:
A novel hybrid genetic algorithm and Simulated Annealing for feature selection and kernel optimization in support vector regression. IRI 2012: 401-406 - 2011
- [c16]Huanhuan Li, Jianxun Liu, Yizhi Liu, Long Jin:
Evaluating Roving Patrol Effectiveness by GPS Trajectory. DASC 2011: 832-837 - [c15]Tianyi Wang, Yang Chen, Zengbin Zhang, Tianyin Xu, Long Jin, Pan Hui, Beixing Deng, Xing Li:
Understanding Graph Sampling Algorithms for Social Network Analysis. ICDCS Workshops 2011: 123-128 - [c14]Long Jin, Yang Chen, Pan Hui, Cong Ding, Tianyi Wang, Athanasios V. Vasilakos, Beixing Deng, Xing Li:
Albatross sampling: robust and effective hybrid vertex sampling for social graphs. HotPlanet@MobiSys 2011: 11-16 - 2010
- [j1]Jiansheng Wu, Mingzhe Liu, Long Jin:
A Hybrid Support Vector Regression Approach for Rainfall Forecasting Using Particle Swarm Optimization and Projection Pursuit Technology. Int. J. Comput. Intell. Appl. 9(2): 87-104 (2010)
2000 – 2009
- 2009
- [c13]Long Jin, Ying Huang:
A Neural Network Ensemble Prediction Model Based on MGF and PLS for Drought and Waterlogging Disasters in Short-Range Climate. CSO (2) 2009: 29-33 - [c12]Jifu Nong, Long Jin:
A Convergence Proof for Ant Colony Algorithm. CSO (2) 2009: 974-977 - 2008
- [c11]Heon Gyu Lee, Bum Ju Lee, Jin-Ho Shin, Long Jin, Cheng Hao Jin, Keun Ho Ryu:
Application of calendar-based temporal classification to forecast customer load patterns from load demand data. CIT 2008: 149-154 - [c10]Yange Liu, Long Jin, Zhi Wang, Xiaoyi Dong:
Microstructured optical fiber Bragg gratings and their applications. ICAIT 2008: 49:1-49:6 - 2007
- [c9]Long Jin, Duckjin Chai, Yang Koo Lee, Keun Ho Ryu:
Mining Frequent Itemsets over Data Streams with Multiple Time-Sensitive Sliding Windows. ALPIT 2007: 486-491 - [c8]Long Jin, Duckjin Chai, Jun Wook Lee, Keun Ho Ryu:
Mining Recent Frequent Itemsets over Data Streams with a Time-Sensitive Sliding Window. APWeb/WAIM Workshops 2007: 62-73 - [c7]Duckjin Chai, Long Jin, Buhyun Hwang, Keun Ho Ryu:
Frequent Pattern Mining using Bipartite Graph. DEXA Workshops 2007: 182-186 - [c6]Duckjin Chai, Buhyun Hwang, Eun Hee Kim, Long Jin, Keun Ho Ryu:
Prediction of Frequent Items to One Dimensional Stream Data. ICCSA Workshops 2007: 353-361 - [c5]Long Jin, Xvming Shi:
A Numerical Prediction Product FNN Prediction Model Based on Condition Number and Analog Deviation. SNPD (2) 2007: 552-557 - 2006
- [c4]Jiansheng Wu, Long Jin, Mingzhe Liu:
Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble. ISNN (2) 2006: 1202-1209 - [c3]Long Jin, Yongmi Lee, Sungbo Seo, Keun Ho Ryu:
Discovery of Temporal Frequent Patterns Using TFP-Tree. WAIM 2006: 349-361 - 2005
- [c2]Chuyu Li, Long Jin, Sungbo Seo, Keun Ho Ryu:
An Efficient Range Query Under the Time Warping Distance. CIS (1) 2005: 721-728 - 2004
- [c1]Sungbo Seo, Long Jin, Jun Wook Lee, Keun Ho Ryu:
Similarity Pattern Discovery Using Calendar Concept Hierarchy in Time Series Data. APWeb 2004: 565-571
Coauthor Index
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last updated on 2024-03-19 02:10 CET by the dblp team
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