
2010.03 - 2014.06,哈爾濱工業(yè)大學(xué),計算機(jī)科學(xué)與技術(shù),博士研究生 2014.09 - 2021.12,天津理工大學(xué),計算機(jī)科學(xué)與工程學(xué)院,講師 2022.01 - 至今,天津理工大學(xué),計算機(jī)科學(xué)與工程學(xué)院,副教授

1. 天津市自然科學(xué)基金面上項目,基于多依據(jù)示例選擇的多示例學(xué)習(xí)方法研究,2018/10-2021/03,10萬元,結(jié)題,負(fù)責(zé)人 2. 天津市技術(shù)創(chuàng)新引導(dǎo)專項,深度多示例生成方法及其在目標(biāo)跟蹤中的應(yīng)用,2021/09-2022/08,5萬元,在研,負(fù)責(zé)人 3. 橫向課題,網(wǎng)站作者關(guān)系分析SDK,2020/03-2023/02,15萬元,在研,負(fù)責(zé)人 4. 天津市新一代人工智能科技重大專項,多粒度視覺監(jiān)控數(shù)據(jù)智能解析方法研究,2018/10-2021/09,200萬元,結(jié)題,參與人

[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)
|