School of Information and Intelligent Science, Donghua University
Shanghai, China, 201620

Office: Room 253, Academic Building #1, Songjiang Campus
E-mail: sczang@dhu.edu.cn

Biography

I am a lecturer at School of Information and Intelligent Science, 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 (IEEE Fellow) and Assoc. Prof. Shikui Tu, and my B.Sc. and M.Eng. from Nanjing University of Aeronautics and Astronautics (NUAA) in 2014 and 2017, respectively.

Looking for graduate students. Send your CV to sczang@dhu.edu.cn

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, and you can have a brief look about some interesting results below.

Manipulate sketch drawing at stroke-level

Sketch analogy by capturing latent operators

Sketch healing by learning graphic sketch representations

Publications

*Corresponding author(s)

[13] Sicong Zang*, Shuhui Gao, Zhijun Fang. Generating sketches in a hierarchical auto-regressive process for flexible sketch drawing manipulation at stroke-level. Accepted by the 40th AAAI Conference on Artificial Intelligence (AAAI’26), 2026. (CCF-A) [arxiv] [code]

[12] Hang Wu, Keyang Lin, Zhijun Fang*, Sicong Zang*. Learning basis fonts on a hypersphere to guide gated content features fusion for few-shot font generation. Accepted by the 8th Chinese Conference on Pattern Recognition and Computer Vision (PRCV’25), 2025. (CCF-C) [code]

[11] Sicong Zang*, Zhijun Fang. Equipping sketch patches with context-aware positional encoding for graphic sketch representation. Computer Vision and Image Understanding, 2025, 258: 104385. (CCF-B, SCI Q1) [arxiv] [code]

[10] Keyang Lin, Zhijun Fang*, Sicong Zang*, Hang Wu. Learning adaptive basis fonts to fuse content features for few-shot font generation. International Conference on Computational Visual Media (CVM’25), 2025, 311-332. (CCF-C) [code]

[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) [code]

[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) [code]

[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 (IEEE T NNLS), 2024, 35(10): 14506-14518. (CCF-B, SCI Q1, IF: 14.255) [code]

[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) [arxiv] [code]

[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) [code]

[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, IF: 9.657) [code]

[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)

Projects

[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)

Teaching

* Computer Organization and Architecture (计算机组成与结构): (2024 Spring, 2025 Spring)

* The Curriculum Design of Computer Application (计算机应用课程设计): (2023 Fall, 2024 Fall, 2025 Fall).

Last updated on Nov. 12, 2025.