簡 歷：
2019年9月 — 今：中科院計算所，副研究員
2017年6月 — 2019年8月：中科院計算所，博士后
2011年7月 — 2017年7月：中國科學院大學，博士
2007年9月 — 2011年7月：北京交通大學，計算機與信息技術學院，學士
主要論著：
期刊文章:
[1] Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen, "Learning Effective RGB-D Representations for Scene Recognition," IEEE Transactions on Image Processing (TIP), 28(2): 980-993 (2019), CCF A, IF:6.79
[2] Xinhang Song, Shuqiang Jiang, Bohan Wang, Chengpeng Chen, Gongwei Chen. “Image Representations with Spatial Object-to-Object Relations for RGB-D Scene Recognition.” IEEE Transactions on Image Processing (TIP), 29: 525-537 (2020), CCF A, IF:6.79
[3] Xinhang Song, Shuqiang Jiang, Luis Herranz. “Multi-scale multi-feature context modeling for scene recognition in the semantic manifold.” IEEE Transactions on Image Processing (TIP), 2017, CCF A, IF:6.79
[4] Xinhang Song, Shuqiang Jiang, Luis Herranz, Yan Kong, Kai Zheng, “Category co-occurrence modeling for large scale scene recognition”, Pattern Recognition (PR) 59: 98-111 (2016) , CCF B, IF: 5.898
會議文章：
[1] Xinhang Song, Sixian Zhang, Yuyun Hua and Shuqiang Jiang. “Aberrance-aware gradient-sensitive attentions for scene recognition with RGB-D videos.” (ACM Multimedia 2019), 21-25 October 2019, Nice, France , CCF A
[2] Xinhang Song, Bohan Wang, Gongwei Chen and Shuqiang Jiang. “MUCH: MUtual Coupling enHancement of scene recognition and dense captioning.” (ACM Multimedia 2019), 21-25 October 2019, Nice, France , CCF A
[3] Xinhang Song, chengpeng chen, Shuqiang Jiang. “RGB-D Scene Recognition with Object-to-Object Relation” The 25th ACM Multimedia Conference (ACM Multimedia 2017), CCF A
[4] Xinhang Song, Shuqiang Jiang, Luis Herranz. “Combining Models from Multiple Sources for RGB-D Scene Recognition” The 26th International Joint Conference on Artificial Intelligence (IJCAI) 2017, CCF A
[5] Xinhang Song, Luis Herranz, Shuqiang Jiang. “Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs” AAAI, 2017, CCF A
[6] Xinhang Song, Shuqiang Jiang, Luis Herranz. “Joint Multi-feature Spatial Context for Scene Recognition in the Semantic Manifold.” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015: 1312-1320, CCF A
科研項目：
[1] 國家自然基金青年項目：面向復雜環(huán)境的RGB-D多視覺模態(tài)場景識別與理解技術研究，項目負責人；
[2] 第二屆“博新計劃”：面向多模態(tài)交互的視覺場景識別與理解技術研究，項目負責人；
[3] 第63批博士后科學基金面上項目：基于圖像內(nèi)容語言描述的場景識別與理解技術，項目負責人。
獲獎及榮譽：
2017中科院院長特別獎（科學院共40項）。
2019中國圖像圖想學學會優(yōu)秀博士學位論文（10項）
宋新航 副研究員
研究方向：
所屬部門：智能信息處理重點實驗室
導師類別：碩導計算機應用技術
聯(lián)系方式：xinhang.song@ict.ac.cn
個人網(wǎng)頁：