Hello, I am currently pursuing a Ph.D. in computer science at the State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), University of Macau, under the supervision of Prof. Jianbing Shen. Concurrently, I am working under the guidance of Prof. Yu Cheng from the Chinese University of Hong Kong. I completed my master’s degree from Fudan University, supervised by Prof. Wenqiang Zhang. Throughout my academic journey, I have been fortunate to collaborate with Dr. Xiubo Geng from Microsoft, Prof. Guodong Long from the University of Technology Sydney, and Dr. Tao Shen from Oracle.

My research centers on Machine Learning, Large Language Models, and Vision and Language. The overarching goal of my work is to advance machine intelligence to serve humanity. My research pursuits have involved the analysis of LLMs and their applications in healthcare and visual generation. I am always open for research discussions and collaborations.

Selected Preprint 📝

Yucheng Zhou, Jihai Zhang, Guanjie Chen, Jianbing Shen, Yu Cheng. Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models. (pdf).

Yucheng Zhou, Zhi Rao, Jun Wan, Jianbing Shen. Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models. (pdf).

Yucheng Zhou, Jiahao Yuan, Qianning Wang. Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation. (pdf, code).

Selected Publications 📜

Full list on Google Scholar

Yucheng Zhou, Lingran Song, Jianbing Shen. MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration. ACL 2025 (pdf, code).

Yucheng Zhou, Lingran Song, Jianbing Shen. Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback. ACL 2025 (pdf).

Yucheng Zhou, Jianbing Shen, Yu Cheng. Weak to Strong Generalization for Large Language Models with Multi-capabilities. ICLR 2025 (pdf).

Yucheng Zhou, Xiang Li, Qianning Wang, Jianbing Shen. Visual In-Context Learning for Large Vision-Language Models. ACL 2024 (pdf, code).

Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang. Fine-Grained Distillation for Long Document Retrieval. AAAI 2024 (pdf, code).

Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang. Towards Robust Ranker for Text Retrieval. ACL 2023 (pdf, code).

Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang. ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. ACL 2022 (pdf, code, data).

Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang. EventBERT: A Pre-Trained Model for Event Correlation Reasoning. WWW 2022 (pdf, data).

Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang, Daxin Jiang. Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning. ACL 2021 (pdf, data).

Yucheng Zhou, Xiubo Geng, Tao Shen, Wenqiang Zhang, Daxin Jiang. Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph. NAACL 2021 (pdf, data).

Experiences 💼

• 2023 - Present, Research Internship at Shanghai AI Lab
• 2020 - 2023, Research Internship at Microsoft

Professional Services 🖊

• Conference Area Chair / Meta-Reviewer:
  ACL (2025), EMNLP (2025), NeurIPS (2025), KDD (2025), IJCAI (2023-2025)

• Conference PC Member / Reviewer:
  ICLR (2025), NeurIPS (2024-2025), ICML (2025), ACL (2022-2024), EMNLP (2022-2024), NAACL (2022,2024-2025), COLM (2025), EACL (2024), CVPR (2025), ICCV (2025), ECCV (2024), KDD (2022-2024), SIGIR (2025), AAAI (2024-2025), ACMMM (2022-2025), WSDM (2026), AISTATS (2023-2025)

• Journal Reviewer:
  IEEE Transactions on Affective Computing, Pattern Recognition, Information Fusion, Neural Networks