Attentive region embedding network for zero-shot learning GS Xie, L Liu, X Jin, F Zhu, Z Zhang, J Qin, Y Yao, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 329 | 2019 |
Regularized margin-based conditional log-likelihood loss for prototype learning XB Jin, CL Liu, X Hou Pattern Recognition 43 (7), 2428-2438, 2010 | 83 | 2010 |
Stochastic Conjugate Gradient Algorithm with Variance Reduction XB Jin, XY Zhang, K Huang, G Geng IEEE Transactions on Neural Networks and Learning Systems, 1-10, 2018 | 66 | 2018 |
Boosting the phishing detection performance by semantic analysis X Zhang, Y Zeng, XB Jin, ZW Yan, GG Geng 2017 ieee international conference on big data (big data), 1063-1070, 2017 | 58 | 2017 |
Boosting the performance of web spam detection with ensemble under-sampling classification GG Geng, CH Wang, QD Li, L Xu, XB Jin Fourth International Conference on Fuzzy Systems and Knowledge Discovery …, 2007 | 56 | 2007 |
Seeing traffic paths: Encrypted traffic classification with path signature features SJ Xu, GG Geng, XB Jin, DJ Liu, J Weng IEEE Transactions on Information Forensics and Security 17, 2166-2181, 2022 | 52 | 2022 |
An efficient multistage phishing website detection model based on the CASE feature framework: Aiming at the real web environment DJ Liu, GG Geng, XB Jin, W Wang Computers & Security 110, 102421, 2021 | 39 | 2021 |
Unsupervised feature selection by non-convex regularized self-representation J Miao, Y Ping, Z Chen, XB Jin, P Li, L Niu Expert Systems with Applications 173, 114643, 2021 | 37 | 2021 |
Multi-class AdaBoost with hypothesis margin X Jin, X Hou, CL Liu 2010 20th international conference on pattern recognition, 65-68, 2010 | 30 | 2010 |
Evaluating web content quality via multi-scale features GG Geng, XB Jin, XC Zhang, DX Zhang arXiv preprint arXiv:1304.6181, 2013 | 29 | 2013 |
Time series forecasting with llms: Understanding and enhancing model capabilities H Tang, C Zhang, M Jin, Q Yu, Z Wang, X Jin, Y Zhang, M Du ACM SIGKDD Explorations Newsletter 26 (2), 109-118, 2025 | 20 | 2025 |
RRPhish: Anti-phishing via mining brand resources request GG Geng, ZW Yan, Y Zeng, XB Jin 2018 IEEE International Conference on Consumer Electronics (ICCE), 1-2, 2018 | 20 | 2018 |
A moisture content prediction model for deep bed peanut drying using support vector regression C Qu, Z Wang, X Jin, X Wang, D Wang Journal of Food Process Engineering, 2020 | 18 | 2020 |
Correction to: Graphical Representation and Similarity Analysis of DNA Sequences Based on Trigonometric Functions ZM Guo-Sen Xie, Xiao-Bo Jin, Chunlei Yang, Jiexin Pu Acta Biotheoretica 66 (2), 1-3, 2018 | 17* | 2018 |
Exploiting attention-consistency loss for spatial-temporal stream action recognition H Xu, X Jin, Q Wang, A Hussain, K Huang ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 16 | 2022 |
Rebalanced zero-shot learning Z Ye, G Yang, X Jin, Y Liu, K Huang IEEE Transactions on Image Processing 32, 4185-4198, 2023 | 14 | 2023 |
Sparse matrix factorization with L2, 1 norm for matrix completion X Jin, J Miao, Q Wang, G Geng, K Huang Pattern Recognition 127, 108655, 2022 | 14 | 2022 |
Watt for what: Rethinking deep learning's energy-performance relationship SN Gowda, X Hao, G Li, SN Gowda, X Jin, L Sevilla-Lara arXiv preprint arXiv:2310.06522, 2023 | 13 | 2023 |
Joint sparse regularization for dictionary learning J Miao, H Cao, XB Jin, R Ma, X Fei, L Niu Cognitive Computation 11, 697-710, 2019 | 13 | 2019 |
Discriminant zero-shot learning with center loss XB Jin, GS Xie, K Huang, H Cao, QF Wang Cognitive Computation 11, 503-512, 2019 | 13 | 2019 |