Yan Li (李岩)

Senior Research Engineer

TikTok.

Biography

I am currently a senior research engineer in Tiktok.

Before that, I received my PhD degree in Pattern Recognition and Intelligent System from Institute of Automation, Chinese Academy of Sciences (CASIA) in 2019 advised by Kaiqi Huang and my bachelor degree in Automation from Department of Automation, Tsinghua University in 2014.

My previous research interests include image object classification/detection, zero/few-shot learning and weakly/semi supervised learning. My current work focuses on multimodal learning for video understanding.

Interests

Artificial Intelligence
Computer Vision
Deep Learning

Education

PhD in Pattern Recognition and Intelligent System, 2014-2019
Institution of Automation, Chinese Academy of Sciences (CASIA)
BSc in Automation, 2010-2014
Department of Automation, Tsinghua University

Professional Experience

Ph.D. Graduation
2019.05
Tencent, PGC Group
2019.08 – 2021.03
Video understanding
Kuaishou, Advertising Algorithm Department
2021.03 – 2024.03
Content understanding for advertising
TikTok, Content Intelligence
2024.04 – Present
Large vision language models and large recommendation models

Publications

[AAAI2024] “LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application.” Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai.
[ICCV2023] “Cross-Domain Product Representation Learning for Rich-Content E-Commerce.” Xuehan Bai, Yan Li (co-first author), Yanhua Cheng, Wenjie Yang, Quan Chen, Han Li. [arxiv] [code]
[ICCV2023] “Cross-view Semantic Alignment for Livestreaming Product Recognition.” Wenjie Yang, Yiyi Chen (co-first author), Yan Li, Yanhua Cheng, Xudong Liu, Quan Chen, Han Li. [arxiv] [code]
[CVPR2020] “TEA: Temporal Excitation and Aggregration for Action Recognition.” Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang. [arxiv_with_suppl] [paper] [code]
[NeurIPS19] “Transductive Zero-Shot Learning with Visual Structure Constraint.” Ziyu Wan, Dongdong Chen, Yan Li, Junge Zhang, Yizhou Yu and Jing Liao. [arxiv]
[ICCV19] “Few-Shot Image Recognition with Knowledge Transfer.” Zhimao Peng, Zechao Li, Junge Zhang, Yan Li, Guo-Jun Qi, Jinhui Tang.
[TPAMI19] “Mixed Supervised Object Detection with Robust Objectness Transfer.” Yan Li, Junge Zhang, Kaiqi Huang, Jianguo Zhang. [arxiv with suppl] [paper]
[CVPR18 (Oral)] “Discriminative Learning of Latent Features for Zero-Shot Recognition.” Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang. [arxiv with suppl] [paper]
[AAAI18] “Deep Semantic Structural Constraints for Zero-Shot Learning.” Yan Li, Zhen Jia (co-first author), Junge Zhang, Kaiqi Huang, Tieniu Tan. [paper]