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{| class="wikitable" style="float:right; margin: -10px 0px 10px 20px; text-align:left" |<center>''' 温良剑 '''<br><img src=" https://it.swufe.edu.cn/__local/B/1F/2B/6B0D2490BC193826935C3AA8D2C_E8AD3829_B208.jpg?e=.jpg" width="180"></center><small>[https://it.swufe.edu.cn/info/1122/14568.htm 西南财经大学] </small> |} '''温良剑''',男,西南财经大学讲师。 ==人物简历== === 教育背景 === 2016/09-2021/06 电子科技大学 博士 2013/09-2016/07 中国科学院大学 硕士 === 职业经历 === 2023/07年至今 西南财经大学 讲师 2021/07年至2023/06 华为诺亚方舟实验室 研究员 ==研究领域== [[深度学习]] AI Agent [[自监督学习]] 时空数据挖掘 金融科技 ==研究成果== === 论文 === [1] Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu: MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024. (CCF A期刊、西财A+期刊、影响因子23.6) [2] Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian,Self-Supervision Can Be a Good Few-Shot Learner,European Conference on Computer Vision (ECCV),2022. (计算机视觉三大顶会) [3] Ruiyi Fang, Liangjian Wen*, Zhao Kang , Jianzhuang Liu, Structure-Preserving Graph Representation Learning, the IEEE International Conference on Data Mining (ICDM), 2022. (CCF B类会议,财大B类) [4] Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu. LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling, International Conference on Computer-Aided Design (ICCAD), 2022. (计算机EDA三大顶会之一,接受率21%) [5] Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian, Rectifying the shortcut learning of background for few-shot learning, Advances in Neural Information Processing Systems (NIPS), 2021. (CCF A类会议,财大A类) [6] Changshu Liu, Liangjian Wen, Zhao Kang,Guangchun Luo, Ling Tian. Self-supervised Consensus Representation Learning for Attributed Graph, ACM Multimedia, 2021. (CCF A类会议,财大A类) [7] Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu, Gradient Estimation of Information Measures in Deep Learning,Knowledge-Based Systems 224, 107046, 2021. (SCI一区,财大A类) [8] Xu Luo, Yuxuan Chen, Liangjian Wen#, Lili Pan, Zenglin Xu Boosting few-shot classification with view-learnable contrastive learning, 2021 IEEE International Conference on Multimedia and Expo (ICME), (CCF B类会议,财大B类) [9] Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu, Mutual Information Gradient Estimation for Representation Learning, International Conference on Learning Representations (ICLR), 2020. (人工智能三大顶会,清华A类) [10] Liangjian Wen, Xuanyang Zhang, Haoli Bai, and Zenglin Xu, Structured pruning of recurrent neural net- works through neuron selection, Neural Networks, Volume 123 Pages, 134-141, 2020. (SCI一区,财大A类) ==科研项目== 复杂结构数据的相似度学习及其应用研究, 国家自然科学青年科学基金项目, 61806045,2019-01-01 至 2021-12-31,结题(主研)<ref>[https://www.swufe.edu.cn/index.htm 西南财经大学]</ref> ==参考资料== {{reflist}} [[Category:教师]]
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