臧思聪
男 计算机应用技术系 讲师
个人简介：
于2023年在上海交通大学获得计算机科学与技术的博士学位，师从徐雷教授和涂仕奎副教授，于2014年和2017年在南京航空航天大学分别获得学士和硕士学位，师从皮德常教授。自2023年7月起，在东华大学计算机科学与技术学院担任讲师，研究方向包含：机器学习、人工智能生成内容（AIGC）。在AAAI、IJCAI、IEEE T-NNLS、计算机学报等顶级会议和期刊上发表论文9篇。
* 欢迎对机器学习和人工智能方向感兴趣的本科生联系我。
* 欢迎志愿参加各类数学建模竞赛的本科生和研究生联系我。我在2012-2015年间获得8次国家、省部级奖项，经验丰富。相信我可以带领大家斩获佳绩！
联系方式：
办公室：松江校区 1号学院楼253室
邮箱：sczang@dhu.edu.cn
研究方向：
机器学习、人工智能生成内容（AIGC）。当前研究工作主要围绕基于形象思维认知计算的手绘草图可控生成与深度综合推理展开。
* 更多内容详见我的个人主页：sczang.github.io
论文发表情况：
[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, 中科院一区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] 臧思聪, 涂仕奎*, 徐雷*. IA-pix2seq: 一个实现简笔画可控生成的深度双向学习方法. 计算机学报, 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, 中科院一区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)
科研项目：
[4] 国家自然科学基金青年科学基金项目——”面向手绘草图生成的综合推理方法研究” (2025.01--2027.12), 主持.
[3] 中央高校基本科研业务费专项资金自由探索项目——”面向简笔画生成的表征结构自组织学习方法研究” (2024.01--2026.12), 主持.
[2] 科技创新2030 “新一代人工智能”重大项目课题——“双向双域因果计算理论与方法”, 2019.12--2022.12, 参与. (已结题)
[1] 中国地震局合作项目——“高分遥感地震异常信息挖掘技术”，2015.10--2017.04，参与. (已结题)
发明专利：
[1] 皮德常, 臧思聪. 基于大气电离层参数的震前卫星轨道异常识别方法: CN106021710B. 2019-08-09. (已授权)
讲授课程：
计算机组成与结构（2024春）
计算机应用课程设计（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 (计算机组成与结构): (2024 Spring),
The Curriculum Design of Computer Application (计算机应用课程设计): (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] 臧思聪, 涂仕奎*, 徐雷*. IA-pix2seq: 一个实现简笔画可控生成的深度双向学习方法. 计算机学报, 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)