About
Hello ☺️ I'm a student and a xcpcer / oier;
Since childhood, I have been enthusiastic about algorithmic problem solving and have devoted significant time to competitive programming, including OI and XCPC.
I am still exploring my long-term research interests.
And now I'm happy that I'm learning the Agentic RL and Learning Theory with Prof. JianQian.
In prior time, I was fortunate to study Computer Vision under the guidance of Prof. Shaodian and learned some knowledge of RANLA 4 ML under Prof. Liao Zhenyu. Through these experiences, I started to reflect more carefully on the mathematical structures and theoretical foundations behind modern AI systems.
You can see my CV here and my Full Award here . Feel free to contact me at yinxinxiang24@gmail.com to discuss anything.
Selected Publications
View All →Show, Don't Tell: Morphing Latent Reasoning into Image Generation
Xinxiang Yin†, Haodong Chen†, Wen-Jie Shu, Hongfei Zhang, Zixin Zhang, Litao Guo, Qifeng Chen, Ying-Cong Chen
International Conference on Machine Learning (ICML 2026)
A novel framework that seamlessly integrates implicit latent reasoning into the T2I generation process, enhancing Janus-Pro by 16% on GenEval while reducing inference time by 44%.
CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
Jingwei Shi†, Xinxiang Yin†, Jing Huang†, Jinman Zhao, Shengyu Tao
Annual Meeting of the Association for Computational Linguistics Main Conference (ACL 2026)
Accepted at the Annual Meeting of the Association for Computational Linguistics 2026 Main Conference. An automated agent framework dedicated to generating targeted adversarial test cases that expose latent vulnerabilities in program submissions, improving the True Negative Rate of existing datasets.
FineQuest: Adaptive Knowledge-Assisted Sports Video Understanding via Agent-of-Thoughts Reasoning
Haodong Chen, Haojian Huang, Xinxiang Yin, Dian Shao
ACM International Conference on Multimedia Oral Presentation (ACM MM 2025)
Oral presentation at the ACM International Conference on Multimedia 2025. The first training-free framework for sports video understanding that leverages dual-mode reasoning inspired by cognitive science.
News
Our work LatentMorph is accepted at the International Conference on Machine Learning 2026!
Our work CodeHacker is accepted at the Annual Meeting of the Association for Computational Linguistics 2026 Main Conference!
Our work LatentMorph has been reported by public media.
Qualified for the 50th ICPC World Finals in Hangzhou. Submitted two papers to ACL'26 and ICML'26
Achieved Codeforces Grandmaster rank.
Won gold medals at ICPC Shenyang, ICPC Shanghai (10th place), and CCPC Chongqing.
Won 2nd place at International Advanced Robot & Simulation Technology Competition in Qingdao.
Our paper FineQuest was accepted at the ACM International Conference on Multimedia 2025 as an oral presentation.
Won Shaanxi Provincial Programming Contest Championship.
Awards
National Scholarship
National Scholarship
ICPC World Finals Qualifier (World Finalist)
ICPC Regional Contest Gold Medal (10th Place in Shanghai Division)
ICPC Regional Contest Gold Medal (Shenyang Division)
CCPC Regional Contest Gold Medal (Chongqing Division)
International Robot Simulation Competition Gold Medal (2nd Place)
International Robot Simulation Competition Gold Medal (2nd Place)
Huawei Ascend AI Innovation Competition National Finals Gold Medal (2nd Place)
ICPC Invitational Contest Gold Medal (4th Place in Xi'an Division)
Shaanxi Provincial College Programming Competition Champion
Shaanxi Provincial College Programming Competition Champion
National Olympiad in Informatics in Provinces First Prize
Services
Reviewer for ACL'26 , MIR.
Team leader of the Northwestern Polytechnical University ICPC team.