唐泽栋
个人信息:Personal Information
讲师
性别:男
毕业院校:西安电子科技大学
学历:博士研究生毕业
学位:工学博士学位
在职信息:在岗
所在单位:前沿交叉研究院
办公地点:红楼I-433
电子邮箱:
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- [1]SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature.CVPR.2021 :13479-13487
- [2]TPNE: Topology preserving network embedding.Inf. Sci.2019 (504):20-31
- [3]Adaptive multifactorial particle swarm optimisation.CAAI Trans. Intell. Technol..2019,1 (4):37-46
- [4]Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations.Neural Networks.2021 (132)
- [5]MGAT: Multi-view Graph Attention Networks.Neural Networks.2020 (132):180-189
- [6]Local distinguishability aggrandizing network for human anomaly detection.Neural Networks.2020 (122):364-373
- [7]Multifactorial Brain Storm Optimization Algorithm.BIC-TA.2016 :47-53
- [8]Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition.Neural Networks.2020 (125):131-141
- [9]Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace.IEEE Trans. Evol. Comput.2021,2 (25)
- [10]ETINE: Enhanced Textual Information Network Embedding.Knowledge Based System.2021 (220):106917
- [11]Evolutionary Multitasking with Dynamic Resource Allocation.IEEE Transactions on Evolutionary Computation
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