Han Fang (方瀚)

I am currently a Research Scientist at the Xingchen AGI Lab, China Telecom Artificial Intelligence Technology (Beijing) Co., Ltd., where I focus on developing generative AI and advancing its applications in downstream domains. As a core contributor, I led the research and development of the 'Xinghe' Vision Model series, the text-to-image model TeleImage-1.0, and the multimodal large model TeleMM-2.0.

My research aims to bridge the gap between vision and language by enabling models to perform vision-centric reasoning, with a focus on long video understanding, free-form multimodal grounding, and vision-language pretraining.

I am open to academic collaborations and welcome motivated research interns. Please feel free to reach out at fanghan1996@outlook.com.

News

  • 2026.07Two papers are accepted by ACM MM 2026.
  • 2026.01TeleMM-2.0-Thinking ranked 2nd on the OpenCompass Multi-modal Academic Leaderboard.
  • 2025.11One paper is accepted by AAAI 2026.
  • 2025.10Ranked 3rd in the ICCV 2025 Multimodal Large Language Model Visual Reasoning Localization Challenge MARS2: VG-RS.
  • 2025.04One paper is accepted by TAFFC 2025.
  • 2024.12One paper is accepted by AAAI 2025.
  • 2024.07One paper is accepted by ACM MM 2024.
  • 2024.03Two papers are accepted by ICME 2024 (oral presentation).
  • 2023.11Served as a key Contributor to the release of TeleImage 1.0, part of the 'Xingchen' Model Family, at Tianyi Expo 2023.
  • 2023.07Two papers are accepted by ACM MM 2023.
  • 2023.04Served as a key Contributor to the release of the 'Xinghe' Vision Model 2.0 at the China Telecom Cloud Ecosystem Conference 2023.
  • 2022.12One paper is accepted by TMM 2022.
  • 2022.07Joined China Telecom Artificial Intelligence Technology (Beijing) Co., Ltd. as a research scientist, focusing on text-to-image models, video-language models and multimodal large language models.
  • 2021.03–2021.09Research internship at PCG, Tencent, Beijing.
  • 2020.12–2021.02Research internship at MIG, SenseTime, Beijing.

Publications

ACM MM 2026Mixture-of-Thought-Tokens: Unifying Perception and Reasoning for Free-form Multimodal Grounding thumbnail

Mixture-of-Thought-Tokens: Unifying Perception and Reasoning for Free-form Multimodal Grounding

Tianyi Gao, Han Fang, Tianyi Ding, Hao Li, Xin Wei, Hongbo Sun, xiaodong dong, Ye Yuan, Jinglin Xu, Kongming Liang, Hao Sun* and Jingmin Xin*.

ACM MM 2026GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding thumbnail

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding

Hao Li, Han Fang, Zixin Pan, Xin Wei, Hongbo Sun, Jinglin Xu, Zhiyu Lin, Ye Yuan, Zhongjiang He, Yu Yu* and Hao Sun*.

AAAI 2026Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval thumbnail

Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval

Haojian Huang, Kaijing Ma, Jin Chen, Haodong Chen, Zhou Wu, Xianghao Zang, Han Fang, Chao Ban, Hao Sun*, Mulin Chen* and Zhongjiang He.

AAAI 2025Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification thumbnail

Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification

Haojian Huang, Chuanyu Qin, Zhe Liu, Kaijing Ma, Jin Chen, Han Fang, Chao Ban, Hao Sun* and Zhongjiang He*.

TMM 2022Transferring Image-CLIP to Video-Text Retrieval via Temporal Relations thumbnail

Transferring Image-CLIP to Video-Text Retrieval via Temporal Relations

Han Fang, Pengfei Xiong*, Luhui Xu and Wenhan Luo.

Honors and Awards

  • Ranked 3rd in the ICCV 2025 Multimodal Large Language Model Visual Reasoning Localization Challenge, MARS2: VG-RS, 2025.
  • Beijing Excellent Graduate Award (Top 1%), 2022.
  • Beijing Excellent Graduate Award (Top 1%), 2019.
  • Beijing Excellent Bachelor Dissertation Award (Top 3%), 2019.

Education

  • 2019.09–2022.06 M.S. in Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing.
  • 2015.09–2019.06 B.Eng. in Telecommunications Engineering with Management, Beijing University of Posts and Telecommunications and Queen Mary University of London, Beijing.