代表性項目情況 | 上海市科委“科技創新行動計劃”社會發展科技攻關項目🦜，21DZ1204900，“智能眩暈診療全流程數字化平臺”🤾🏼♀️，70萬，2021.07~2024.6.30，在研，主持🙆♂️。 上海市地方能力建設項目😴，21010501500， “汽車領域知識驅動的設備故障診斷與質量檢測關鍵技術及應用”🫷🏼，2021.07~2024.6，60萬🔥，在研，主持。 上海市人才發展基金資助計劃, 2021002👳🏽♀️，2020.08~2023.12👨🏼🎤，30萬，主持😑🧑🏽🔬。 https://doi.org/10.1016/j.patrec.2023.01.002🏊🏿♂️， 2022. (SCI, IF: 4.757) Yini Wang, Yongbin Gao*, Wenjun Yu, Ruyan Guo, Weibing Wan, et al. “Transformer Networks with Adaptive Inference for Scene Graph Generation,” Applied Intelligence, accepted, 2022. (SCI, IF: 5.019) Tian, Fangzheng, Gao, Yongbin*, Fang, Zhijun, Gu Jia. Automatic coronary artery segmentation algorithm based on deep learning and digital image processing. Applied Intelligence, vol. 51, pp. 8881-8895, 2021. (SCI, IF: 5.019) CCF推薦 Renyue Dai, Yongbin Gao*, Zhijun Fang, Xiaoyan Jiang, Anjie Wang, Juan Zhang, Cengsi Zhong, “Unsupervised learning of depth estimation based on attention model and global pose optimization,” Signal Processing: Image Communication, vol. 78, pp. 284-292, 2019. (SCI, IF:3.453) CCF推薦 Yongbin Gao, Hyo Jong Lee, “Pose-invariant features and Personalized Correspondence Learning for Face Recognition,” Neural Computing and Applications, vol. 31, no.1, pp. 607-616, 2019. (SCI, IF:5.102) Yongbin Gao, Hyo Jong Lee, “Cross-Pose Face Recognition Based on Multiple Virtual Views and Alignment Error,” vol. 65, pp. 170-176, Nov. 2015, Pattern Recognition Letters. (SCI, IF: 4.757) CCF推薦 Fangzheng Tian, Yongbin Gao*, Zhijun Fang, Jia Gu, Shuqun Yang, “3D reconstruction with auto-selected keyframes based on depth completion correction and pose fusion,” Journal of Visual Communication and Image Representation, vol. 79, 2021. (SCI, IF: 2.887)CCF推薦 Yongbin Gao, Hyo Jong Lee, “Learning warps based similarity for pose-unconstrained face recognition,” Multimedia tools and applications, vol. 77, no. 2, 2018. (SCI, IF: 2.757) CCF推薦 Anjie Wang#, Yongbin Gao#, Xiaoyan Jiang, Zhijun Fang*, Shanshe Wang, Siwei Ma, Jenq-Neng Hwang. “Unsupervised learning of depth and ego-motion with spatial-temporal geometric constraints,” IEEE International Conference on Multimedia and Expo (ICME), 2019. (CCF B類會議) Jiacheng Xu, Zhijun Fang, Yongbin Gao, Siwei Ma, Yaochu Jin, Heng Zhou, Anjie Wang, “Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression,” Data Compression Conference, 2021. (CCF B類會議) Zhijun Fang, Yongbin Gao, Naixue Xiong, Athanasios V. Vasilakos, Yuming Fang, “A general effective rate control system based on matching measurement and inter-quantizer,” vol. 346-347, pp. 351-368, 2016, Information Sciences. (SCI, IF: 8.223) 1區 Heng Zhou, Zhijun Fang*, Yongbin Gao, Bo Huang, Cengsi Zhong, “Feature Fusion Network based on Attention Mechanism for 3D Semantic Segmentation of Point Clouds,” Pattern Recognition Letters, 2020. (SCI, IF: 4.757) CCF推薦 Kaiying Zhu, Xiaoyan Jiang, Zhijun Fang, Yongbin Gao, Hamido Fujita, and Jenq-Neng Hwang. "Photometric transfer for direct visual odometry." Knowledge-Based Systems (2021): 106671. (SCI, Impact Factor: 8.139) 2區 Yi Wu and Xiaoyan Jiang* and Zhijun Fang and Yongbin Gao and Hamido Fujita. Multi-modal 3D Object Detection by 2D-guided Precision Anchor Proposal and Multi-layer Fusion. Applied Soft Computing. 2021. (SCI, IF: 8.263) 2區 Jingming Zhao, Juan Zhang, Zhi Li, Jenq-Neng Hwang, Yongbin Gao, and Zhijun Fang, “DD-CycleGAN: Unpaired image dehazing via Double-Discriminator Cycle-Consistent Generative Adversarial network,” Engineering Applications of Artificial Intelligence (EAAI), vol. 82, pp. 263-271, 2019. (SCI, IF: 7.802) 2區 Junxin Lu, Zhijun Fang, Yongbin Gao, Jieyu Chen, “Line-based Visual Odometry using Local Gradient Fitting,” Journal of Visual Communication and Image Representation, 2021. (SCI, IF: 2.887) CCF推薦 Yuji Zhuang, Xiaoyan Jiang, Yongbin Gao, Zhijun Fang, Hamido Fujuta, “Unsupervised Monocular Visual Odometry for Fast-Moving Scenes Based on Optical Flow Network with Feature Point Matching Constraint,” accepted, Sensors, 2023. Jiuqing Dong, Yongbin Gao*, Hyo Jong Lee, Heng Zhou, Yifan Yao, Zhijun Fang, Bo Huang, “Action Recognition Based on the Fusion of Graph Convolutional Networks with High Order Features,” Applied Sciences, vol. 10, no. 4, 2020. (SCI, IF: 2.838) Yongbin Gao, Hyo Jong Lee, “Local Tiled Deep Networks for Recognition of Vehicle Make and Model,” vol. 16, no. 2, pp. 1-13, Feb. 2016, Sensors. (SCI, IF: 3.857) Jia Gu, Zhijun Fang, Yongbin Gao, Fangzeng Tian, Segmentation of coronary arteries images using global feature embedded network with active contour loss, Computerized Medical Imaging and Graphics 86, 101799, 2020. (SCI, IF: 3.750) Lingyu Ji, Xiaoyan Jiang*, Yongbin Gao*, Zhijun Fang, Qinping Cai, Ziran Wei, ADR‐Net: Context extraction network based on M‐Net for medical image segmentation, Medical Physics 47 (9), 4254-4264, 2020. (SCI, IF: 4.506) Bo Huang, Ziran Wei, Xianhua Tang, Hamido Fujita, Qingping Cai, Yongbin Gao, Tao Wu, Liang Zhou, “Deep learning network for medical volume data segmentation based on multi axial plane fusion,” Computer Methods and Programs in Biomedicine, 2021. (SCI, IF: 7.027)2區
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