👴 About Me
I am currently a first-year Ph.D. student jointly trained by Fudan University and Shanghai AI Lab, supervised by Jing Shao. Before that, I got my Master’s degree at University of Science and Technology of China (USTC) and my Bachelor’s degree from Dalian Maritime University (DLMU).
My research interest mainly includes Computer Vision, Deep Learning, AI Agent, Reinforcement Learning, Generative Models.
Email: yangjingyi946@gmail.com or yangjingyi@mail.ustc.edu.cn or jingyiyang25@m.fudan.edu.cn Wechat: wxid_fa6qu0x94mud22
Please feel free to contact me for communication and collaboration.
🔥 News
- 2025.09.28: We release the paper and code of Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step (First Author).
- 2025.09.18: 1 paper was accepted to NeurIPS 2025 (First Author).
- 2025.06.26: 1 paper was accepted to IEEE TIFS (First Author).
- 2025.06.26: 1 paper was accepted to ICCV 2025 (First Author).
- 2025.01.22: 1 paper was accepted to ICLR 2025 (First Author).
- 2024.07.04: 1 paper was accepted to ECAI 2024 (First Author), selected as an Oral 🎉🎉🎉.
📝 Research Topics
Masked Diffusion Large Language Model & Reinforcement Learning
ArXiv
Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step. Jingyi Yang, Guanxu Chen, Xuhao Hu, Jing Shao†
Large Reasoning Model & Reinforcement Learning
ArXiv
Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models. Guanxu Chen, Yafu Li, Yuxian Jiang, Chen Qian, Qihan Ren, Jingyi Yang, Yu Cheng, Dongrui Liu, Jing Shao†
Computer-Use Agent & Self-Evolving Agent
-
NeurIPS 2025
RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents. Jingyi Yang*, Shuai Shao*, Dongrui Liu, Jing Shao† -
ArXiv
Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents. Shuai Shao, Qihan Ren, Chen Qian, Boyi Wei, Dadi Guo, Jingyi Yang, Xinhao Song, Linfeng Zhang, Weinan Zhang, Dongrui Liu, Jing Shao†
Video Understanding
-
ICLR 2025
Kronecker Mask and Interpretive Prompts are Language-Action Video Learners. Jingyi Yang*, Zitong Yu*, Xiuming Ni, Jia He, Hui Li† -
IEEE TIFS
G2V2former: Graph Guided Video Vision Transformer for Face Anti-Spoofing. Jingyi Yang, Zitong Yu†, Jia He, Xiuming Ni, Liepiao Zhang, Hui Li†, Xiaochun Cao
Multi-Modal Learning & Domain Generalization for Face Anti-spoofing
-
ICCV 2025
DADM: Dual Alignment of Domain Modality for Face Anti-Spoofing. Jingyi Yang*, Xun Lin*, Zitong Yu†, Liepiao Zhang, Xin Liu, Hui Li, Xiaochen Yuan, Xiaochun Cao -
ECAI 2024 Oral
Generalized Face Anti-spoofing via Finer Domain Partition and Disentangling Liveness-irrelevant Factors. Jingyi Yang, Zitong Yu, Xiuming Ni, Jia He, Hui Li†
📖 Selected Publications

Jingyi Yang, Guanxu Chen, Xuhao Hu, Jing Shao†

RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents
Jingyi Yang*, Shuai Shao*, Dongrui Liu, Jing Shao†
Project HomePage /
Code /
机器之心
Demo

DADM: Dual Alignment of Domain Modality for Face Anti-Spoofing
Jingyi Yang*, Xun Lin*, Zitong Yu†, Liepiao Zhang, Xin Liu, Hui Li, Xiaochen Yuan, Xiaochun Cao

Kronecker Mask and Interpretive Prompts are Language-Action Video Learners
Jingyi Yang*, Zitong Yu*, Xiuming Ni, Jia He, Hui Li†

G2V2former: Graph Guided Video Vision Transformer for Face Anti-Spoofing
Jingyi Yang, Zitong Yu†, Jia He, Xiuming Ni, Liepiao Zhang, Hui Li†, Xiaochun Cao

Jingyi Yang, Zitong Yu, Xiuming Ni, Jia He, Hui Li†
Demo
🎖 Honors and Awards
- 2020, 2021, 2022 Excellent Student Scholarship - First Prize (2%) twice, Third Prize (10%) once
- 2022 Outstanding Graduates of Dalian City
- 2021 Competition Specific Scholarship
- 2021 The Mathematical Contest in Modeling (MCM)/Interdisciplinary Contest in Modeling (ICM) Honorable Mention
- 2019 The 11th National College Student Mathematics Competition Liaoning Province - Third Prize
- 2019 The 28th Dalian College Student Mathematics Competition - First Prize
💻 Academic Service
- Reviewer of IEEE International Joint Conference on Biometrics (IJCB) Multimodal Human Behavior Understanding & Generation 2024
- Reviewer of International Conference on Learning Representations 2025
- Reviewer of International Conference on Learning Representations 2026