2010.03 - 2014.06,哈尔滨工业大学,计算机科学与技术,博士研究生 2014.09 - 2021.12,伟德国际1946bv官网,伟德源自英国始于1946,讲师 2022.01 - 至今,伟德国际1946bv官网,伟德源自英国始于1946,副教授
1. 天津市自然科学基金面上项目,基于多依据示例选择的多示例学习方法研究,2018/10-2021/03,10万元,结题,负责人 2. 天津市技术创新引导专项,深度多示例生成方法及其在目标跟踪中的应用,2021/09-2022/08,5万元,在研,负责人 3. 横向课题,网站作者关系分析SDK,2020/03-2023/02,15万元,在研,负责人 4. 天津市新一代人工智能科技重大专项,多粒度视觉监控数据智能解析方法研究,2018/10-2021/09,200万元,结题,参与人
[1] Jianchen Wang, Liming Yuan, Haixia Xu, Gengsheng Xie, Xianbin Wen: Channel-exchanged feature representations for person re-identification. Inf. Sci. 562: 370-384 (2021) [2] Xinyu Wang, Liming Yuan, Haixia Xu, Xianbin Wen: CSDS: End-to-end aerial scenes classification with depthwise separable convolution and an attention mechanism. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10484-10499 (2021) [3] Kun Sun, Xianbin Wen, Liming Yuan, Haixia Xu: Dense capsule networks with fewer parameters. Soft Comput. 25(10): 6927-6945 (2021) [4] Kun Sun, Liming Yuan, Haixia Xu, Xianbin Wen: Deep capsule network regularization based on generative adversarial network framework. J. Electronic Imaging 30(4) (2021) [5] Liming Yuan, Guangping Xu, Lu Zhao, Xianbin Wen, Haixia Xu: Multiple-instance learning via multiple-point concept based instance selection. Int. J. Mach. Learn. Cybern. 11(9): 2113-2126 (2020) [6] Changlun Guo, Xianbin Wen, Liming Yuan, Haixia Xu: Local-variance-based attention for visual tracking. ICME 2020: 1-6 [7] Zhenliang Li, Liming Yuan, Haixia Xu, Rui Cheng, Xianbin Wen: Deep multi-instance learning with induced self-attention for medical image classification. BIBM 2020: 446-450 [8] Rui Cheng, Liming Yuan, Haixia Xu, Zhenliang Li, Xianbin Wen: Learnable bag similarity based deep multi-instance network for breast cancer diagnosis. BIBM 2020: 1920-1925 [9] Liming Yuan, Jiafeng Liu, Xianglong Tang: Combining example selection with instance selection to speed up multiple-instance learning. Neurocomputing 129: 504-515 (2014) [10] Liming Yuan, Jiafeng Liu, Xianglong Tang: Multiple-instance learning with pairwise instance similarity. Int. J. Appl. Math. Comput. Sci. 24(3): 567-577 (2014)
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