王倩
信息技術系，碩士生導師♠️，講師
【個人簡介】
畢業於華東師範大學信息科學與技術沐鸣，獲工學學士、工學博士學位。2019-2021年間，在美國哥倫比亞大學（Columbia University）聯合培養🌟。2022年進入沐鸣娱乐計算機沐鸣任教，從事圖像智能分析算法研究，涉及醫學、遙感🙎♂️、機器視覺等多個領域，在IEEE TMI, ECCV, ESWA等人工智能和圖像處理領域的國內外期刊❗️、會議發表論文近二十篇🎯。主持國家自然科學青年基金、中央高校專項基金🗯、上海市重點實驗室開放課題等多個科研項目🏌🏻♂️。
【研究方向】
圖像智能分析算法
多模態信息融合
機器學習與模式識別
歡迎勤奮好學、進取心強，對研究充滿熱情的同學加入團隊。
【主要研究成果】
期刊論文💁🏻♀️：
(1)Qian Wang, Zhao Chen*. Parallel Wavelet Networks Incorporating Modality Adaptation for Hyperspectral Image Super-Resolution. Expert Systems with Applications, 2023 (SCI中科院一區, Top).
(2)Qian Wang, Li Sun, Yan Wang, Mei Zhou, Menghan Hu, Jiangang Chen, Ying Wen, Qingli Li*. Identification of Melanoma from Hyperspectral Pathology Image Using 3D Convolutional Networks, IEEE Transactions On Medical Imaging, 2021 (SCI中科院一區, Top)
(3) Qian Wang, Jianbiao Wang, Mei Zhou, Qingli Li*, Ying Wen, Junhao Chu. A 3D attention networks for classification of white blood cells from microscopy hyperspectral images, Optics and Laser Technology, 2021 (SCI中科院二區)
(4) Qian Wang, Jianbiao Wang, Mei Zhou, Qingli Li*, Yiting Wang. Spectral-spatial feature-based neural network method for acute lymphoblastic leukemia cell identification via microscopic hyperspectral imaging technology, Biomedical Optics Express, 2017 (SCI中科院二區)
(5) Zhao Chen, Yahui Xiu, Yuxin Zheng, Xinxin Wang, Qian Wang*, Danqi Guo, Yan Wan. A Weakly Supervised Learning Pipeline for Profiled Fiber Inspection. IET Image Processing, 2023 (SCI中科院三區).
(6) Qian Wang, Qingli Li*, Mei Zhou, Li Sun, Song Qiu, Yiting Wang. Melanoma and Melanocyte Identification from Hyperspectral Pathology Images Using Object-Based Multiscale Analysis, Applied Spectroscopy, 2018 (SCI中科院三區)
(7) CHEN Z, GUO D Q, WANG Q*, et al. Systematic PD-L1 slide analysis based on multi-objective learning[J]. Journal of Donghua University (English Edition), 2024.
會議論文：
(1)Qian Wang and Chen Zhao. A Deep Wavelet Network for High-Resolution Microscopy Hyperspectral Image Reconstruction, ECCV Workshop, 2022 (CCF-B)
(2) Qian Wang, Li Chang, Zhen Sun, Mei Zhou, Qingli Li, Hongying Liu and Fangmin Guo. An improved support vector machine algorithm for blood cell segmentation from hyperspectral images, 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), 2016 (EI)
(3) Qian Wang, Qingli Li, Hongying Liu, Mei Zhou and Fangmin Guo. An automatic blood cell segmentation method based on hyperspectral imaging technology. International Symposium on Photonics and Optoelectronics, 2015 (EI)
(4) Qian Wang, Qingli Li, Hongying Liu, Yiting Wang and Jianzhong Zhu. An improved ISODATA algorithm for hyperspectral image classification, 2014 7th International Congress on Image and Signal Processing, 2014. (EI)
【近期科研項目】
1. 多模態病理信息融合及分析算法研究，國家自然科學基金青年項目（2024.01-2026.12）👩🏻🚀，主持
2. 基於光譜解混的高光譜病理圖像亞像元分析方法研究🙍🏻👰🏻，華東師範大學上海市多維度信息處理重點實驗室開放課題 （2022.9-2023.12）☂️，主持
3. 基於亞像元空譜屬性表征的高光譜病理圖像分割方法研究👨🦱，中央高校專項資金自由探索項目（2022.1-2024.12）🧥，主持
4. 病理全玻片多模態高通量光譜成像的多維深度學習及腫瘤早期診斷研究💐，國家自然科學基金面上項目（2020.1-2023.12）6️⃣，參與
【社會職責】
IEEE Trans. on Medical Imaging, Optics & Laser Technology, Displays, Electronics 等期刊審稿人；國際學術會議CISP-BMEI組委會委員
【講授課程】
機器視覺、Python語言程序設計
【聯系方式】
郵箱👨🏻🦳：wangqian@dhu.edu.cn
辦公室：松江區1號沐鸣樓