I am now a research engineer at MM of Meituan Inc. I was a M.Sc. student at University of Chinese Academy of Sciences (UCAS) (Ranking NO.69 in US.News), and did my research at Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). I worked in the CUHK@MMLAB in Shenzhen named SIAT-MMLAB, which was founded and directed by Professor Xiaoou Tang, Yu Qiao, and Chao Dong. I received my B.E. degree from Nanjing University (NJU) (Ranking NO.65 in THE, NO.98 in US.News, and NO.121 in QS), Nanjing, China in 2021. My undergraduate and graduate universities are both ranked among the top 100 universities in the world.

My research interests include deep learning, computer vision, and image enhancement. Recently, I have focused on AIGC, low-level tasks, image editing, image generation, video generation, and 3D generation. I have explored AIGC methods such as Diffusion Models for a very long time (from 2022.7 to now). I work on designing new kinds of Diffusion Models and their applications for various fields, aiming to promote the efficiency and flexibility of Diffusion Models used in the real world. I am now an IEEE member, ACM member, IEEE SPS member and CCF member. I have been invited by the PCs and served as a reviewer many times for top conferences or journals such as NeurIPS (2024), ICLR (2025), CVPR (2025), ICCV (2023), ECCV (2024), ACM MM (2024), WACV (2025), ICME (2024), AISTATS (2025), ICMR (2024), Neural Networks (many times), and MMM (2023).

Google scholar citations

📢📢📢 I am looking for more close friends in research. If you would like to discuss AIGC or diffusion models with me, please feel free to contact me. 😊

My first mentor is Shifeng Chen and my second mentor is Chao Dong. Our Lab is directed by Professor Xiaoou Tang and Yu Qiao. I also work with my coauthors such as Donghao Zhou, Chaoqi Chen, Lin Ma, Wei Xiong, He Zhang, Liangliang Cao, Pheng Ann Heng, Zequn Jie, Yizhou Yu, and Jianzhuang Liu. Xiaoou Tang, Chao Dong, Yu Qiao, Liangliang Cao, Pheng Ann Heng, Yizhou Yu, and Jianzhuang Liu are World’s Top 2% Scientists of Lifetime Impact Ranking.

🔥 News

2024.10: My first-authored paper on diffusion model image editing is accepted by WACV (CAAI-B)!
2024.08: I am now a research engineer at MM of Meituan Inc, focusing on MLLM and AIGC.
2024.07: I won the Invention Venture Award for Innovation from the China Invention Association.
2024.07: My first-authored paper, MagicFight, is accepted by ACM MM (CCF-A)!
2024.06: My first-authored paper, IFAST, is accepted by TIFS (CCF-A and SCI Q1 Top)!
2024.04: I am awarded the Outstanding Graduate Student of Chinese Academy of Sciences, Outstanding Graduate Student of Beijing Universities (中科院优秀毕业生、北京高校研究生优秀毕业生)!
2024.03: Our paper GPT4Motion is awarded the Best Paper Runner-Up (最佳论文亚军) in PBDL@CVPR 2024!
2024.03: From 2023 to now, I had 12 articles accepted, 7 of which were regular papers in the CCF/Tsinghua list A/B journal/conference. Most of these papers are my first-authored.
2023.12: I am awarded the SIAT president scholarship (院长奖学金)!
2023.10: I am awarded the Best Paper Candidate in PRICAI (Tsinghua list B in Mathematics)!
2023.10: I get my SSP offers from many top companies. 🔬
2022.07: I work with Noah’s Ark Lab, HUAWEI, and dedicate myself to exploring AIGC algorithm and their applications in low-level and 3D. 🔬
2022.06: 👨‍🎓👨‍🎓 I am awarded the outstanding graduate student award of UCAS!
2021.07: 👨‍🎓👨‍🎓 I got my bachelor’s degree and got an outstanding graduation thesis award – Grand prize (Top 0.5% of all bachelors in NJU, only 10+ bachelors got this prize，即南京大学优秀本科毕业论文特等奖)!
2021.06: 👨‍🎓👨‍🎓 I met my close friend Donghao Zhou in SIAT.
2021.04: I join CUHK@MMLAB in Shenzhen (also named SIAT@MMLAB) as a research assistant here.
2021.03: 🎉🎉 I am pursuing my master’s degree at UCAS!
2020.06: I was awarded the excellent member of the School of AI for a recommendation for graduate admission.
2020.10: 🎉🎉 My three papers are accepted in the Forum of Science NJU 2020. 🤖️
2020.09: 🎉🎉 Again, I am awarded the second prize of Nanjing University scholarship!
2019.10: 🎉🎉 Again, we won the first prize in the Sort Bank Cup China Robotics Competition 2019. 🤖️
2019.09: 🎉🎉 I am awarded the second prize of Nanjing University scholarship!
2018.10: 🎉🎉 We won the first prize in the Sort Bank Cup China Robotics Competition 2018. 🤖️
2018.09: 🎉🎉 I become a member of the Robotics Lab belonging to the Lamda group at NJU (leading by Zhi-Hua Zhou). 🤖️
2017.07: 🎉🎉 I scored 641 points in the 2017 college entrance exam (高考), ranking in the Top 600 in Guangdong Province (Top 0.1% of all students in Guangdong，高考广东省理科前600名、佛山市前30名，曾获佛山市语文单科状元，出分当天接到中科大、南京大学等华东五校和人民大学招生办的多次电话).

📝 Publications

🎉 I am a student member of MMLab (MM for multimedia), and most of my work is also focused on multimedia as well as multimodal generative research, so I frequently contribute papers to journals and conferences in the field of computer graphics and multimedia.

🎉

Diffusion Model-Based Image Editing: A Survey (GitHub 400+ stars) (AIGC：图像编辑)

Yi Huang*, Jiancheng Huang*, Yifan Liu, Mingfu Yan, Jiaxi Lv, Jianzhuang Liu, Wei Xiong, He Zhang, Shifeng Chen, Liangliang Cao (* indicates equal contribution)

arXiv Preprint 2024 (Major Revision of TPAMI)

-[量子位] [机器之心] [新智元] [我爱计算机视觉] [专知] [AI生成未来]

🎉

[MagicFight: Personalized Martial Arts Combat Video Generation] (AIGC：视频生成)

Jiancheng Huang, et. al.

ACM International Conference on Multimedia (ACM MM) | CCF-A | CAAI-A

🎉
[IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images] (AIGC：图像生成)

Jiancheng Huang, Donghao Zhou, Shifeng Chen

IEEE Transactions on Information Forensics and Security (TIFS) | SCI Q1 Top | CCF-A | Tsinghua list A | CAAI-A (GitHub 50+ stars)

🎉

[Dual-Schedule Inversion: Tuning-Free Inversion for Real Image Faithful Reconstruction and Editing] (AIGC：图像编辑)

Jiancheng Huang, et. al.

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) | CAAI-B

🎉
[WaveDM: Wavelet-Based Diffusion Models for Image Restoration] (AIGC：生成式复原)

Yi Huang*, Jiancheng Huang*, et. al. (* indicates equal contribution)

IEEE Transaction on Multimedia (TMM) | SCI Q1 Top | Tsinghua list A | CAAI-A

-[公众号])

🎉
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models (AIGC：图像生成)

Donghao Zhou*, Jiancheng Huang*, et. al. (* indicates equal contribution)

arXiv Preprint 2024 (Under Review of ICLR)

-[arxiv] [project] [AIGC公众号]

🎉
[SBCR: Stochasticity Beats Content Restriction Problem in Training and Tuning Free Image Editing] (AIGC：图像编辑)

Jiancheng Huang, et. al.

ACM International Conference on Multimedia Retrieval (ICMR) | CCF-B

🎉
[Stable Diffusion already has a noisy style latent space] (AIGC：图像编辑)

Jiancheng Huang, et. al.

IEEE International Conference on Multimedia and Expo (ICME) | CCF-B

🎉
[Entwined Inversion: Tune-Free Inversion for Real Image Faithful Reconstruction and Editing] (AIGC：图像编辑)

Jiancheng Huang, et. al.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | CCF-B | Tsinghua list A

🎉
[BK-Editer: Body-Keeping Text-Conditioned Real Image Editing] (AIGC：图像编辑)

Jiancheng Huang, et. al.

Computational Visual Media (CVM) | CCF-C

🎉
GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning (GitHub 110+ stars) (AIGC：视频生成)

Jiaxi Lv, Yi Huang, Mingfu Yan, Jiancheng Huang, et. al.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) PDBL (Best Paper Runner-Up)

[机器之心]

🎉
[NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results]

et. al, Jiancheng Huang, et. al.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

🎉
[Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement] (AIGC：生成式复原)

Jiancheng Huang, et. al.

Pacific Rim International Conference on Artificial Intelligence (PRICAI) | Tsinghua list B in Mathematics (Best Paper Candidate)

🎉
[DeSeal: Semantic-Aware Seal2Clear Attention for Document Seal Removal] (AIGC：生成式复原)

Yifan Liu*, Jiancheng Huang*, et. al. (* indicates equal contribution)

IEEE Signal Processing Letters (SPL) | SCI Q2 | Tsinghua list B

🎉
[Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes]

Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen

British Machine Vision Conference (BMVC) | Tsinghua list B

🎉
[MambaDW: Semantic-Aware Mamba for Document Watermark Removal] (AIGC：生成式复原)

Yifan Liu, Mingfu Yan, Jiancheng Huang, et. al.

Computer Graphics International (CGI) | Tsinghua list B

🎉
[Learning Image-Adaptive Lookup Tables With Spatial Awareness for Image Harmonization] (AIGC：生成式复原)

Yi Huang, Yu Dong, He Zhang, Jiancheng Huang, Shifeng Chen

IEEE Transactions on Consumer Electronics (TCE) | SCI Q1

🎉
[Matten: Video Generation with Mamba-Attention] (AIGC：视频生成)

Jiancheng Huang, et. al.

arXiv Preprint 2024 (Under Review)

[AI公众号]

🎉
[MRStyle: A Unified Framework for Color Style Transfer with Multi-Modality Reference] (AIGC：图像编辑)

Jiancheng Huang, et. al.

arXiv Preprint 2024 (Under Review)

[AI公众号] 🎉
[SpecRef: A Fast Training-free Baseline of Specific Reference-Condition Real Image Editing] (AIGC：图像编辑)

Songyan Chen, Jiancheng Huang* (* indicates corresponding author)

arXiv Preprint 2023 (Under Review) (GitHub 30+ stars)

🎉
[Pi-fusion: Physics-informed diffusion model for learning fluid dynamics]

Jing Qiu*, Jiancheng Huang*, et. al. (* indicates equal contribution)

arXiv Preprint 2024 (Under Review)

🎉
[Seal2Real: Prompt Prior Learning on Diffusion Model for Unsupervised Document Seal Data Generation and Realisation] (AIGC：图像生成)

Jiancheng Huang, Yifan Liu, Shifeng Chen

arXiv Preprint 2023 (Under Review)

🎉
[Graph Edit Distance Learning via Different Attention]

Jiaxi Lv, Liang Zhang, Yi Huang, Jiancheng Huang, Shifeng Chen

arXiv Preprint 2023 (Under Review)

🎉

🎖 Honors and Awards

2023.12: I am awarded the SIAT president scholarship!
2023.12: I am awarded the best paper candidate in PRICAI (Tsinghua list B in Mathematics)!
2022.06: 👨‍🎓👨‍🎓 I am awarded the outstanding graduate student award of UCAS!
2021.07: 👨‍🎓👨‍🎓 I get an outstanding graduation thesis award – first prize (Top 0.5% of all bachelors in NJU)!
2020.06: I was awarded the excellent member of School of AI for recommendation for graduate admission.
2020.10: 🎉🎉 My three papers are accepted in the Forum of Science NJU 2020. 🤖️
2020.09: 🎉🎉 Again, I am awarded the second prize of Nanjing University scholarship!
2019.10: 🎉🎉 Again, we win the first prize of the Soft Bank Cup China Robotics Competition 2019. 🤖️
2019.09: 🎉🎉 I am awarded the second prize of Nanjing University scholarship!
2018.10: 🎉🎉 We win the first prize of the Soft Bank Cup China Robotics Competition 2018. 🤖️

📖 Educations

2021.06 - now, Artificial Intelligence, University of Chinese Academy of Sciences.
2017.06 - 2021.06, Automation, Nanjing University.
2014.09 - 2017.06, Foshan No.1 Middle School.

💻 Research Fields

2022.07-now Diffusion Models algorithm research.
2022.06 Image low-level vision algorithm research.
2020.01 Robust face algorithm research.
2018.07 Robot motion algorithm research.

👨‍💻 Internships