Hi there! I am a CS PhD student at UC San Diego, fortunately advised by Prof. Julian McAuley. My (current) research interests are in multi-modal learning, with a focus on text generation and understanding large models. On the application side, some of my work spans personalization, recommendation and machine learning for healthcare.

Publications:

ArXiv Preprints:

CLIP also Understands Text: Prompting CLIP for Phrase Understanding
• An Yan, Jiacheng Li, Wanrong Zhu, Yujie Lu, William Wang, Julian McAuley

Refereed Publications:

Personalized Showcases: Generating Multi-Modal Explanations for Recommendations
• An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian Mcauley
• The International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

Visualize Before You Write: Imagination-Guided Open-Ended Text Generation
• Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Eric Wang, Miguel Eckstein, William Wang
• European Chapter of the Association for Computational Linguistics (EACL 2023)

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation
• Wanrong Zhu, Xin Wang, An Yan, Miguel Eckstein, William Wang
• European Chapter of the Association for Computational Linguistics (EACL 2023)

Disambiguating Medical Reports via Contrastive Knowledge Infusion
• Zexue He, An Yan, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu
• AAAI Conference on Artificial Intelligence (AAAI 2023).

RadBERT: Adapting Language Models to Radiology
• An Yan, Chun-Nan Hsu, Amilcare Gentili, Julian McAuley
• Journal of Radiology: Artificial Intelligence, (RSNA Journals 2022).

Personalized Complementary Product Recommendation
• An Yan, Yan Gao, Chaosheng Dong, Jinmiao Fu, Tong Zhao, Yi Sun, Julian McAuley
• The ACM Web Conference (WWW 2022)

Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
• An Yan, Zexue He, Xing Lu, Jiang Du, Eric Chang, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu
• Empirical Methods in Natural Language Processing (EMNLP 2021)

Describing Visual Differences Needs Semantic Understanding of Individuals
• An Yan, Xin Wang, Tsu-Jui Fu, William Wang
• European Chapter of the Association for Computational Linguistics (EACL 2021)

Multimodal Style Transfer Learning for Outdoor Vision-and-Language Navigation
• Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Wang
• European Chapter of the Association for Computational Linguistics (EACL 2021)

2D Convolutional Neural Networks for Sequential Recommendation
• An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian McAuley
• ACM International Conference on Information and Knowledge Management (CIKM 2019)

PA3D: Pose-Action 3D Machine for Video Recognition
• An Yan, Yali Wang, Zhifeng Li, Yu Qiao
• IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Work Experience

Research Intern at Meta, Menlo Park, CA.
Hosts: Cem Akkaya, Licheng Yu, Charlie Zhu, Yang Bai.
Jun 2022 - Sep 2022.

Applied Scientist Intern at Amazon, Seattle, WA.
Hosts: Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao.
Jun 2021 - Sep 2021.

Applied Scientist Intern at Amazon, Santa Barbara, CA.
Hosts: Craig Bennett, Nic Jedema.
Jun 2020 - Sep 2020.

Education

University of California San Diego
Ph.D. & M.S. in Computer Science
Sep 2018 - Present.

University of Science and Technology of China
B.E. in Electronic Engineering & Information Science
Sep 2014 - Jun 2018.