Ailing Zeng 曾爱玲

Ailing Zeng

Biography

I'm a technical staff member at Anuttacon, exploring the boundaries of human-like multimodal understanding and generation in a scalable way. Previously, I spent three wonderful years at Tencent Hunyuan&AI Lab and International Digital Economy Academy (IDEA), leading human-centric perception and generation research team. I obtained my Ph.D. from the Department of Computer Science and Engineering, the Chinese University of Hong Kong, supervised by Prof. Qiang Xu. I was a visiting scholar in the Robotics Institute, Carnegie Mellon University.

My research aims to build multi-modal, human-like intelligent agents in a scalable way, especially by training Large Motion Models to capture, understand, interact with, and generate the motion of humans, animals, and the world. Specifically,

1) Human-centric visual perception with large-scale data and generic models: IDOL, AiOS, SMPLer-X, OSX, DW-Pose, ED-Pose, SmoothNet, DeciWatch

2) Large-scale multi-modality datasets: Motion-X, UBody, Uni-KPT, BallPlay, HuMMan, Human-Art

3) Human-centric generative models: MotionCraft, HumanSD, PhysHOI, Dreamwaltz, HumanTOMATO, DiffSHEG

4) Interactive AI & Human-in-the-loop techniques: X-Pose, Click-Pose, Grounded-SAM

5) Previously, time series analysis and forecasting: LTSF-Linear, SCINet, FITS

We are hiring full-time researchers, engineers, and interns based in Mountain View or Singapore, see our open roles. Feel free to reach out if you are interested.

News

Selected Research

See full list at Google Scholar. (*equal contribution, #corresponding author or project lead)

Honors & Awards

  • KAUST AI Rising Star, 2025

  • Shenzhen Artificial Intelligence Natural Science Award, 2023

  • Shenzhen Pengcheng special talent award, 2023

  • Full Postgraduate Studentship, CUHK (2017 - 2021)

  • Excellent League Member, Top 1% student of Xiamen University

  • National Scholarship (2015)