Yucheng Zhou

Yucheng Zhou

State Key Lab of IOTSC,
Department of CIS,
University of Macau

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 a research intern at Shanghai AI Lab, mentored by Prof. Yu Cheng. In the past, I had the opportunity to collaborate on research with Dr. Xiubo Geng from Microsoft, Prof. Guodong Long from the University of Technology Sydney, and Dr. Tao Shen from Oracle. I earned my master’s degree in computer science at Fudan University, supervised by Prof. Wenqiang Zhang.

My research centers on Machine Learning, Natural Language Processing, and Vision and Language. The overarching goal of my work is to advance machine intelligence to serve humanity and assist in exploring the world together. My research pursuits have involved the analysis, training, medical applications, and forward-looking of Large Language Models. Additionally, I am engaged in research on video generation leveraging large language models, aiming to enhance their understanding and generation capabilities within our visual world.

I am always open for research discussions and collaborations.

Selected Publications 📝

Full list on Google Scholar

Yucheng Zhou, Xiubo Geng, Tao Shen, Chongyang Tao, Guodong Long, Jian-Guang Lou, Jianbing Shen. Thread of Thought Unraveling Chaotic Contexts. arXiv (pdf).

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

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).

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, Guodong Long. Multimodal Event Transformer for Image-guided Story Ending Generation. EACL 2023 (pdf).

Yucheng Zhou, Guodong Long. Improving Cross-modal Alignment for Text-Guided Image Inpainting. EACL 2023 (pdf).

Yucheng Zhou, Guodong Long. Style-Aware Contrastive Learning for Multi-Style Image Captioning. EACL 2023 (pdf).

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 💼

Professional Services ✨

  • Conference Senior PC Member/Area Chair: IJCAI (2023-2024)

  • Conference PC Member/Reviewer: ACL Roling Review (2021-present), NeurIPS (2024), ACL (2022-2024), ACM KDD (2022-2024), ACM Multimedia (2022-2024), AAAI (2024-2025), ECCV (2024), EMNLP (2022-2024), NAACL (2022,2024), EACL (2024), ICWSM (2024), ECML-PKDD (2023-2024), ICASSP (2024), AISTATS (2023-2024), etc

  • Journal Reviewer: Neural Networks, Information Fusion, Pattern Recognition, Knowledge-Based Systems, Expert Systems With Applications, IEEE Robotics and Automation Letters, Neurocomputing, etc