溫良劍檢視原始碼討論檢視歷史
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溫良劍，男，西南財經大學講師。
人物簡歷
教育背景
2016/09-2021/06 電子科技大學 博士
2013/09-2016/07 中國科學院大學 碩士
職業經歷
2023/07年至今 西南財經大學 講師
2021/07年至2023/06 華為諾亞方舟實驗室 研究員
研究領域
AI Agent
時空數據挖掘
金融科技
研究成果
論文
[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、西財A+期刊、影響因子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. (計算機視覺三大頂會)
[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類會議，財大B類)
[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. (計算機EDA三大頂會之一，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類會議，財大A類)
[6] Changshu Liu, Liangjian Wen, Zhao Kang，Guangchun Luo, Ling Tian. Self-supervised Consensus Representation Learning for Attributed Graph, ACM Multimedia, 2021. (CCF A類會議，財大A類)
[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一區，財大A類)
[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類會議，財大B類)
[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. (人工智能三大頂會，清華A類)
[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一區，財大A類)
科研項目
複雜結構數據的相似度學習及其應用研究, 國家自然科學青年科學基金項目, 61806045，2019-01-01 至 2021-12-31，結題（主研）[1]