主持或參加科研項(xiàng)目： 1. 國(guó)家自然科學(xué)基金地區(qū)科學(xué)基金項(xiàng)目, 61861038, 基于形態(tài)完備性分析的非均質(zhì)三維圖像重建算法研究，合作單位負(fù)責(zé)人
2. 國(guó)家自然科學(xué)基金青年基金項(xiàng)目，61601266，基于紋線(xiàn)流和群集性的群體異常行為識(shí)別和分級(jí)預(yù)警研究，合作單位負(fù)責(zé)人
3. 國(guó)家自然科學(xué)基金委員會(huì), 面上項(xiàng)目, 61873218, 基于機(jī)器學(xué)習(xí)的時(shí)變網(wǎng)絡(luò)表示方法研究，主研
4. 國(guó)家重點(diǎn)研發(fā)計(jì)劃，超快響應(yīng)濕度傳感器在油氣勘探、工業(yè)監(jiān)控等領(lǐng)域的應(yīng)用驗(yàn)證，項(xiàng)目骨干
5. 國(guó)家重點(diǎn)研發(fā)計(jì)劃，井筒穩(wěn)定性閉環(huán)響應(yīng)機(jī)制與智能調(diào)控方法，主研
6. 國(guó)家重點(diǎn)實(shí)驗(yàn)室開(kāi)放研究課題，基于計(jì)算機(jī)視覺(jué)的三維鉆頭磨損識(shí)別研究，主持 代表性研究成果： (1)Jiang Jun, Luo Fang, Zhang H, et al. Adaptive Multiexpert Learning for Lithology Recognition[J]. SPE Journal, 2022 (SCI)
(2)Jiang Jun, Guo Zhengzheng. Unsupervised Adversarial Domain Adaptation Regression for Rate of Penetration Prediction[J]. SPE Journal, 2023, (SCI)
(3)Jiang Jun, Wang X Y, Gao M, et al. Abnormal behavior detection using streak flow acceleration[J]. Applied Intelligence, 2022. (SCI)
(4) Xinyue Wang, Jun Jiang（通信作者）, Mingliang Gao, Zheng Liu , Chengyuan Zhao, Activation ensemble generative adversarial network transfer learning for image classification[J]. Journal of Electronic Imaging,2021. (SCI)
(5)Mingliang Gao, Jun Jiang（通信作者）, Jin Shen, Guofeng Zou, Guixia Fu, Crowd motion segmentation and behavior recognition fusing streak flow and collectiveness[J]. OPTICAL ENGINEERING.，2018. (SCI)
(6)Gao M, Jiang J, Zou G, et al. RGB-D-based object recognition using multimodal convolutional neural networks: a survey[J]. IEEE access, 2019 (SCI)
(7).Fuxiang Liu, Mingliang Gao, Xiangqun Li, Hongwei Lin, Keyan Deng, Yongsheng Xu, Jun Jiang, Reconstruction of 3D porous medium using a type of cascaded polymorphic method[J]. Microporous and Mesoporous Materials, 2021(SCI). |
