簡(jiǎn) 歷:
2020年09月 —?至今:中國科學(xué)院計(jì)算技術(shù)研究所,研究員?
2015年09月 — 2020年09月:中國科學(xué)院計(jì)算技術(shù)研究所,副研究員
2014年10月 — 2015年09月:中國科學(xué)院計(jì)算技術(shù)研究所,助理研究員
2012年08月 — 2014年10月:中國科學(xué)院計(jì)算技術(shù)研究所,博士后
2006年09月 — 2012年07月:中國科學(xué)院計(jì)算技術(shù)研究所,碩博連讀(工學(xué)博士)
2002年09月 — 2006年07月:清華大學(xué),電子工程系,本科(工學(xué)學(xué)士)
個(gè)人主頁:https://vipl.ict.ac.cn/view_people.php?url=&id=62?
國科大個(gè)人主頁:http://people.ucas.edu.cn/~wangshuhui?
主要論著:
期刊文章:
[1] Guoli Song, Shuhui Wang, Qingming Huang, Qi Tian. Harmonized Multimodal Learning with Gaussian Process Latent Variable Models. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted.
[2] Shuhui Wang, Liang Li, Chenxue Yang, Qingming Huang. Regularized Topic-aware Latent Influence Propagation in Dynamic Relational Networks. GeoInformatica, 23(3): 329-352, 2019.
[3] Yiling Wu, Shuhui Wang, Guoli Song, Qingming Huang. Online Asymmetric Metric Learning with Multi-Layer Similarity Aggregation for Cross-Modal Retrieval. IEEE Transaction on Image Processing, vol. 28, no. 9, pp. 4299-4312, 2019.
[4] Guoli Song, Shuhui Wang, Qingming Huang, Qi Tian: Multimodal Similarity Gaussian Process Latent Variable Model. IEEE Trans. Image Processing 26(9): 4168-4181, 2017.
[5]Siyuan Liu, Shuhui Wang. Trajectory Community Discovery and Recommendation by Multi-Source Diffusion Modeling. IEEE Trans. Knowl. Data Eng. 29(4): 898-911, 2017.
[6] Yan Hua, Shuhui Wang, Siyuan Liu, Anni Cai, Qingming Huang: Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation. IEEE Trans. Multimedia 18(6): 1201-1216, 2016.
[7] Siyuan Liu, Shuhui Wang, Feida Zhu. Structured Learning from Heterogeneous Behavior for Social Identity Linkage. IEEE Trans. Knowl. Data Eng. 27(7): 2005-2019, 2015.
[8] Shuhui Wang, Qingming Huang, Shuqiang Jiang, Qi Tian: S3MKL: Scalable Semi-Supervised Multiple Kernel Learning for Real-World Image Applications. IEEE Trans. Multimedia 14(4): 1259-1274, 2012.
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會(huì)議文章:
[1] Shuhao Cui, Shuhui Wang, Junbao Zhuo, Liang Li, Qingming Huang, Qi Tian. Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations. CVPR, 2020. (Oral)
[2] Jun Wei, Shuhui Wang, Qingming Huang. F3Net: Fusion, Feedback and Focus for Salient Object Detection. AAAI, 2020. (Oral)
[3] Yiling Wu, Shuhui Wang, Guoli Song, Qingming Huang. Learning Fragment Self-Attention Embeddings for Image-Text Matching. ACM Multimedia, pp. 2088-2096, 2019. (Oral)
[4] Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang. Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization. In CVPR, 2019.
[5] Shuhui Wang, Yangyu Chen, Junbao Zhuo, Qingming Huang, Qi Tian. Joint Global and Co-Attentive Representation Learning for Image-Sentence Retrieval. ACM Multimedia, 2018. (Oral)
[6] Guoli Song, Shuhui Wang, Qingming Huang, Qi Tian: Multimodal Gaussian Process Latent Variable Models with Harmonization. ICCV, pp. 5039-5047, 2017.
[7] Lingyang Chu, Shuhui Wang, Siyuan Liu, Qingming Huang, Jian Pei: ALID: Scalable Dominant Cluster Detection. PVLDB 8(8): 826-837 (2015).
[8] Guoli Song, Shuhui Wang, Qingming Huang, Qi Tian: Similarity Gaussian Process Latent Variable Model for Multi-modal Data Analysis. ICCV, 4050-4058, 2015.
[9] Siyuan Liu, Shuhui Wang, Feida Zhu, Jinbo Zhang, Ramayya Krishnan: HYDRA: large-scale social identity linkage via heterogeneous behavior modeling. SIGMOD Conference 2014: 51-62.
[10] Shuhui Wang, Shuqiang Jiang, Qingming Huang, Qi Tian: Multi-feature metric learning with knowledge transfer among semantics and social tagging. CVPR 2012: 2240-2247.
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專利:
[1] 國家發(fā)明專利:一種基于樹結(jié)構(gòu)的圖像分類方法及其系統(tǒng)。第一發(fā)明人,已授權(quán)。
[2] 國家發(fā)明專利:一種基于密集子圖的視覺詞典生成方法及其系統(tǒng)。第四發(fā)明人,已授權(quán)。
[3] 國家發(fā)明專利:基于多模態(tài)信息融合與圖聚類的跨媒體話題檢測(cè)方法。第五發(fā)明人,已授權(quán)
科研項(xiàng)目:
國家自然科學(xué)基金面上項(xiàng)目:異構(gòu)大數(shù)據(jù)的對(duì)象建模及跨域分析技術(shù)研究,主持
獲獎(jiǎng)及榮譽(yù):
擔(dān)任ACM Multimedia 2019/2020領(lǐng)域主席,ICIMCS、PCM等領(lǐng)域重要會(huì)議出版主席,曾獲2012年CCF科學(xué)技術(shù)獎(jiǎng)、中科院院長(zhǎng)獎(jiǎng)等。
王樹徽 研究員
研究方向:
所屬部門:智能信息處理重點(diǎn)實(shí)驗(yàn)室
導(dǎo)師類別:博導(dǎo)計(jì)算機(jī)應(yīng)用技術(shù)
聯(lián)系方式:wangshuhui@ict.ac.cn
個(gè)人網(wǎng)頁:https://vipl.ict.ac.cn/view_people.php?url=&id=62