Wenbo Zhang.

Ph.D. Candidate · Embodied AI · Robotic Manipulation

Now Research Intern @ ByteDance Seed, BeijingPhD Candidate @ Adelaide University, Australia
Wenbo Zhang

Research

Building physical agents?Why not virtual agents? Sadly, I believe that space is — and will increasingly be — rapidly converging under the digital hegemony of a few big companies. that self-improve through experience.

I work on embodied AI and robotic manipulation — toward autonomous systems that learn from their own experience and help with everyday tasks, without a human in the loop.

  • Embodied AI
  • Robotic Manipulation
  • Vision-Language-Action
  • Autoregressive Policies
  • Self-improving Agents
  • Multimodal LLMs

The Ideal — an embodied analogue of the three-stage recipe behind GPT

01
Native Multimodal Pretraining
≈ pretraining · compress knowledge
02
Policy Extraction
≈ post-training · extract knowledge
03
Align with Real-World
≈ alignment · to the final goal
A journey of a thousand miles begins with a single step | 千里之行,始于足下
01 / Training
Action Modeling
Chain-of-Action
02 / Post-Training
SFT Strategies
Effective Tuning
03 / Deployment
Test-Time Training
TTT-VLA
↻ Data Flywheel
↻ closes the data flywheel → training
01 Training · Action Modeling
NeurIPS / 2025

Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation

Wenbo Zhang, Tianrun Hu, Yanyuan Qiao, Hanbo Zhang, Yuchu Qin, Yang Li, Jiajun Liu, Tao Kong, Lingqiao Liu, Xiao Ma

02 Post-Training · SFT Strategies
ICRA / 2025

Effective Tuning Strategies for Generalist Robot Manipulation Policies

Wenbo Zhang, Yang Li, Yanyuan Qiao, Siyuan Huang, Jiajun Liu, Feras Dayoub, Xiao Ma, Lingqiao Liu

03 Deployment · Test-Time Training
Preprint / 2026

TTT-VLA: Test-Time Latent Prompt Optimization for Vision-Language-Action Models

Wenbo Zhang, Jianxiong Li, Shuai Yang, Sijin Chen, Jiajun Liu, Lingqiao Liu, Xiao Ma

Full publication list · Google Scholar

Profile / CV

Experience

ByteDance Seed
Research Intern · Beijing, CN · mentor: Xiao Ma
University of Adelaide · AIML
Ph.D. Candidate · Adelaide, AU
Shanghai AI Laboratory
Research Intern · Shanghai, CN
SenseTime Research
Research Intern · CN
Sichuan University
M.Eng., Computer Science · Chengdu, CN

Service & Talks

ICCV VCL Challenges
Visual Continual Learning challenge
Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation
Lumina Embodied AI & RL China
Student Representative Speech, Commencement Ceremony
Graduate School of Computer Science, Sichuan University
CONFERENCE / JOURNAL REVIEWER
  • CVPR
  • ICCV
  • ECCV
  • ICML
  • NeurIPS
  • ICLR
  • AAAI
  • IJCAI
  • Neurocomputing
  • IEEE TIP
  • Pattern Recognition

Awards

Robotic Vision Summer School (RVSS) Competition — Ranked 1st
Australia
Adelaide Research Scholarship
University of Adelaide
China National Scholarship
Ministry of Education, China
China Graduate AI Innovation Competition — Huawei Special Award & 2nd Prize
Ministry of Education, China
Top 100 Students
Sichuan University
Outstanding Graduation Thesis
Sichuan University