Hello, I am Yangzhou Liu (刘羊周), a master student at Nanjing University, under the mentorship of Prof. Tong Lu. Previously, I received my bachelor’s degrees in Computer Science and Financial Engineering from Sichuan University. I am expected to graduate in June 2026, if all goes well.
Currently, I am actively seeking full-time job opportunities in the filed of MLLM.
Please feel free to reach out to me via email: liuyangzhou@smail.nju.edu.cn or lyzlll2343@gmail.com
🔥 News
📝 Publications
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Liu, Yangzhou* and Cao, Yue* and Li, Hao* and Luo, Gen* and Chen, Zhe and Wang, Weiyun and Liang, Xiaobo and Qi, Biqing and Wu, Lijun and Tian, Changyao and others (2025). Sequential Diffusion Language Models.
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Weiyun Wang, Zhangwei Gao, Lianjie Chen, Zhe Chen, Jinguo Zhu, Xiangyu Zhao, Yangzhou Liu, Yue Cao, Shenglong Ye, Xizhou Zhu, Lewei Lu, Haodong Duan, Yu Qiao, Jifeng Dai, Wenhai Wang (2025). VisualPRM: An Effective Process Reward Model for Multimodal Reasoning.
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Zhe Chen*, Weiyun Wang*, Yue Cao*, Yangzhou Liu*, Zhangwei Gao*, Erfei Cui*, Jinguo Zhu*, Shenglong Ye*, Hao Tian*, Zhaoyang Liu*, Lixin Gu, Xuehui Wang, Qingyun Li, Yimin Ren, Zixuan Chen, Jiapeng Luo, Jiahao Wang, Tan Jiang, Bo Wang, Conghui He, Botian Shi, Xingcheng Zhang, Han Lv, Yi Wang, Wenqi Shao, Pei Chu, Zhongying Tu, Tong He, Zhiyong Wu, Huipeng Deng, Jiaye Ge, Kai Chen, Kaipeng Zhang, Limin Wang, Min Dou, Lewei Lu, Xizhou Zhu, Tong Lu, Dahua Lin, Yu Qiao, Jifeng Dai, Wenhai Wang (2024). Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.
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Weiyun Wang, Zhe Chen, Wenhai Wang, Yue Cao, Yangzhou Liu, Zhangwei Gao, Jinguo Zhu, Xizhou Zhu, Lewei Lu, Yu Qiao, Jifeng Dai (2024). Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization.
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Yue Cao*, Yangzhou Liu*, Zhe Chen, Guangchen Shi, Wenhai Wang, Danhuai Zhao, Tong Lu (2024). MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding.
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Yangzhou Liu*, Yue Cao*, Zhangwei Gao*, Weiyun Wang*, Zhe Chen*, Wenhai Wang*, Hao Tian, Lewei Lu, Xizhou Zhu, Tong Lu, Yu Qiao, Jifeng Dai (2024). MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity. SCIS.
📖 Educations
- 2023.09 - Present, M.S. in Computer Science, School of Computer Science, Nanjing University.
- 2019.09 - 2023.06, B.S. in Computer Science and Fiancial Engineering, School of Computer Science, Sichuan University.
💻 Experience
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2024.10 - 2025.06, Research Intern in Shanghai AI Laboratory.
Supervised by Dr. Wenhai Wang. Also, receiving guidance from Dr. Zhe Chen and Dr. Wenyun Wang.
The projects I have participated in include:
- InternVL-2.5: Collected and synthesized high-quality SFT datasets, performed model evaluations, and contributed to paper writing.
- InternVL-MPO: Participated in building the MMPR dataset pipeline, including dataset construction, experimental validation, and paper writing.
- Explored long-chain multimodal reasoning capabilities in InternVL, involving the design of reinforcement learning for long-term reasoning, data construction, and the creation of an integrated evaluation framework.
- Sequential Diffusion Language Models
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2025.06 - 2025.09, Research Intern in Ant Grounp.