臧思聰
男 計算機應用技術系 講師
個人簡介🚺：
於2023年在上海交通大學獲得計算機科學與技術的博士學位，師從徐雷教授和塗仕奎副教授，於2014年和2017年在南京航空航天大學分別獲得學士和碩士學位，師從皮德常教授𓀃。自2023年7月起，在沐鸣注册擔任講師，研究方向包含：機器學習、人工智能生成內容（AIGC）。在AAAI🧑🏼🦲、IJCAI、IEEE T-NNLS🤱🏽👩🏼🏭、計算機學報等頂級會議和期刊上發表論文9篇。
* 歡迎對機器學習和人工智能方向感興趣的本科生聯系我👷♀️🚗。
* 歡迎誌願參加各類數學建模競賽的本科生和研究生聯系我🚴🏿♀️。我在2012-2015年間獲得8次國家、省部級獎項👩🏼🚒，經驗豐富。相信我可以帶領大家斬獲佳績！
聯系方式：
辦公室：松江校區 1號沐鸣樓253室
郵箱：sczang@dhu.edu.cn
研究方向：
機器學習🧑🎄、人工智能生成內容（AIGC）🧝🏻☪️。當前研究工作主要圍繞基於形象思維認知計算的手繪草圖可控生成與深度綜合推理展開😌。
* 更多內容詳見我的個人主頁🙅🏼♀️：sczang.github.io
論文發表情況📿：
[9] Xin Wang, Tengjie Li, Sicong Zang, Shikui Tu*, Lei Xu*. Self-supervised learning for enhancing spatial awareness in free-hand sketches. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI’24), 2024, 5117-5125. (CCF-A, Oral)
[8] Tengjie Li, Sicong Zang, Shikui Tu*, Lei Xu*. Lmser-pix2seq: Learning stable sketch representations for sketch healing. Computer Vision and Image Understanding, 2024, 240: 103931. (CCF-B, SCI)
[7] Sicong Zang, Shikui Tu*, Lei Xu*. Self-organizing a latent hierarchy of sketch patterns for controllable sketch synthesis. IEEETransactions on Neural Networks and Learning Systems, 2023, DOI: 10.1109/TNNLS.2023.3279410. (CCF-B, SCI, 中科院一區top)
[6] Sicong Zang, Shikui Tu*, Lei Xu*. Linking sketch patches by learning synonymous proximity for graphic sketch representation. Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI’23), 2023, 37(9): 11096-11103. (CCF-A, Oral)
[5] 臧思聰, 塗仕奎*, 徐雷*. IA-pix2seq: 一個實現簡筆畫可控生成的深度雙向學習方法. 計算機學報, 2023, 46(03): 540-551. (CCF-T1)
[4] Sicong Zang, Shikui Tu*, Lei Xu*. Controllable stroke-based sketch synthesis from a self-organized latent space. Neural Networks, 2021, 137: 138-150. (CCF-B, SCI, 中科院一區top)
[3] Sicong Zang, Dechang Pi*, Xuemin Zhang, Xuhui Shen. Recognizing methods for epicenter-neighboring orbits with ionospheric information from DEMETER satellite data. Advances in Space Research, 2017, 60(5): 980-990. (SCI)
[2] Sicong Zang, Dechang Pi*, Xuemin Zhang, Xuhui Shen. Seismic classification-based method for recognizing epicenter-neighboring orbits. Advances in Space Research, 2017, 59(7): 1886-1894. (SCI)
[1] Sicong Zang, Dechang Pi*. Software Reliability Growth Model for Imperfect Debugging Process Considering Testing-Effort and Testing Coverage. Transactions on Nanjing University of Aeronautics and Astronautics, 2018, 35(3): 455-463. (EI)
*Corresponding author(s)
科研項目：
[4] 國家自然科學基金青年科學基金項目——”面向手繪草圖生成的綜合推理方法研究” (2025.01--2027.12), 主持.
[3] 中央高校基本科研業務費專項資金自由探索項目——”面向簡筆畫生成的表征結構自組織學習方法研究” (2024.01--2026.12), 主持.
[2] 科技創新2030 “新一代人工智能”重大項目課題——“雙向雙域因果計算理論與方法”, 2019.12--2022.12, 參與. (已結題)
[1] 中國地震局合作項目——“高分遙感地震異常信息挖掘技術”，2015.10--2017.04🧑🏻🦽，參與. (已結題)
發明專利🍋🟩：
[1] 皮德常, 臧思聰. 基於大氣電離層參數的震前衛星軌道異常識別方法: CN106021710B. 2019-08-09. (已授權)
講授課程☸️：
計算機組成與結構（2024春）
計算機應用課程設計（2023、2024秋）
Sicong Zang
Office: Room 253, Academic Building #1, Songjiang Campus
E-mail: sczang@dhu.edu.cn
Biography:
I am a lecturer at School of Computer Science and Technology, Donghua University (DHU). I obtained my Ph.D. majoring in computer science from Shanghai Jiao Tong University (SJTU) in 2023, under the supervision of Prof. Lei Xu and Assoc. Prof. Shikui Tu, and my B.Sc. and M.Sc. from Nanjing University of Aeronautics and Astronautics (NUAA) in 2014 and 2017, respectively.
Research Interests:
My research interests include machine learning and artificial intelligence generated content (AIGC). And currently, I focus on the topics of creative design and synthesis reasoning on sketches. More information can be found in my homepage: sczang.github.io.
Teaching:
Computer Organization and Architecture (計算機組成與結構): (2024 Spring),
The Curriculum Design of Computer Application (計算機應用課程設計): (2023, 2024 Fall).
Selected Publications:
[9] Xin Wang, Tengjie Li, Sicong Zang, Shikui Tu*, Lei Xu*. Self-supervised learning for enhancing spatial awareness in free-hand sketches. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI’24), 2024, 5117-5125. (CCF-A, Oral)
[8] Tengjie Li, Sicong Zang, Shikui Tu*, Lei Xu*. Lmser-pix2seq: Learning stable sketch representations for sketch healing. Computer Vision and Image Understanding, 2024, 240: 103931. (CCF-B, SCI Q1)
[7] Sicong Zang, Shikui Tu*, Lei Xu*. Self-organizing a latent hierarchy of sketch patterns for controllable sketch synthesis. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2023.3279410. (CCF-B, SCI Q1)
[6] Sicong Zang, Shikui Tu*, Lei Xu*. Linking sketch patches by learning synonymous proximity for graphic sketch representation. Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI’23), 2023, 37(9): 11096-11103. (CCF-A, Oral)
[5] 臧思聰, 塗仕奎*, 徐雷*. IA-pix2seq: 一個實現簡筆畫可控生成的深度雙向學習方法. 計算機學報, 2023, 46(03): 540-551. (CCF-T1)
[4] Sicong Zang, Shikui Tu*, Lei Xu*. Controllable stroke-based sketch synthesis from a self-organized latent space. Neural Networks, 2021, 137: 138-150. (CCF-B, SCI Q1)
[3] Sicong Zang, Dechang Pi*, Xuemin Zhang, Xuhui Shen. Recognizing methods for epicenter-neighboring orbits with ionospheric information from DEMETER satellite data. Advances in Space Research, 2017, 60(5): 980-990. (SCI)
[2] Sicong Zang, Dechang Pi*, Xuemin Zhang, Xuhui Shen. Seismic classification-based method for recognizing epicenter-neighboring orbits. Advances in Space Research, 2017, 59(7): 1886-1894. (SCI)
[1] Sicong Zang, Dechang Pi*. Software Reliability Growth Model for Imperfect Debugging Process Considering Testing-Effort and Testing Coverage. Transactions on Nanjing University of Aeronautics and Astronautics, 2018, 35(3): 455-463. (EI)
*Corresponding author(s)