NLP Engineer
TikTok Search, Beijing
Email: fangmingzhou.cs AT gmail.com
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I am a NLP Engineer specializing in the application of multimodal technologies within TikTok Search. My core professional focus is dedicated to advancing search intelligence through innovations like visual pre-training and integrating multimodal applications across the entire search pipeline.
Previously, I earned my M.S. in Computer Science from the School of Information, Renmin University of China, in 2022. Under the guidance of Prof. Xirong Li, my thesis research was concentrated on cross-modal retrieval, encompassing key areas such as modal alignment and cross-modal representation learning.
2026.01 » I will join ByteDance Seed as a LLM Researcher!
2025.05 » Our paper “Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data Expansion” is accepted by KDD 2025!
| LLM Researcher | @ Bytedance Seed |
| NLP Engineer | @ TikTok Search |
| Research Intern | @ Kuaishou MMU |
| M.S. in Computer Science | @ Renmin University of China |
| B.S. in Materials Science | @ Nanjing University of Science and Technology |
Yu Sun, Yin Li, Ruixiao Sun, Chunhui Liu, Fangming Zhou, Ze Jin, Linjie Wang, Xiang Shen, Zhuolin Hao, Hongyu Xiong. Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data Expansion. KDD 2025 [paper]
Aozhu Chen, Fangming Zhou, Ziyuan Wang, Xirong Li. CLIPRerank: An Extremely Simple Method for Improving Ad-hoc Video Search. ICASSP 2024 [paper]
Fan Hu, Aozhu Chen, Ziyue Wang, Fangming Zhou, Jianfeng Dong and Xirong Li. Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval. ECCV 2022 [paper]
Aozhu Chen, Fan Hu, Zihan Wang, Fangming Zhou, Xirong Li. What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID. ViRaL@ICCV 2021 [paper]
Xirong Li, Fangming Zhou, Chaoxi Xu, Jiaqi Ji, Gang Yang. SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries. IEEE Transactions on Multimedia (TMM), 2021 [paper]