Fan Feng

@ffeng01

Postdoc @UCSanDiego, @mbzuai | working on world models | Previously @CityUHongKong | Visitor @UvA_Amsterdam

fan-feng.com

Joined November 2016

775 Following

365 Followers

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Fan Feng
@ffeng01
Jul 16
Check out our new work on making contrastive RL work for interaction-rich manipulation, led by @TommyShen03, with Caleb (calcharles.github.io). By learning the right geometry for representing manipulation skills, we train a robot air-hockey policy from scratch (w/o demos or
Biwei Huang
@huang_biwei
Jul 16
Can robots learn interactive manipulation skills from scratch without demonstrations or task-specific rewards? Contrastive RL (CRL) offers a promising route: it excels in locomotion, yet remains brittle in long-horizon manipulation. We introduce Interaction-Weighted Resampling
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Fan Feng
@ffeng01
Jul 9
Check out our recent work led by @Minghao__Fu, with @ncklashansen, on task-centric world models that learn task- and physical-aligned latents from pretrained embeddings like DINO and COSMOS (intermediate representations), while preserving visual fidelity and improving downstream
Biwei Huang
@huang_biwei
Jul 9
1/ Most world models focus on generating high-fidelity futures: realistic videos, longer rollouts with expressive visual foundation models. For control, we need more than visual fidelity. Instead, we aim for task-centric representations that reflect physical dynamics and
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Fan Feng
@ffeng01
Jun 26
Cool work on world model and self-exploration - why hallucinations come from data coverage and how to prevent them. Enjoyable read with impressive demos to play with!
Nicklas Hansen
@ncklashansen
Jun 26
Super excited to share the last paper of my PhD: "Hallucination in World Models is Predictable and Preventable"✨ We train a 350M-param generative world model on a large dataset w/ 210 tasks and show that we can predict *when* hallucination happens and use that to fix it! 🧵1/n
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Fan Feng
@ffeng01
Jun 2
If you are looking for an awesome PhD opportunity in robot learning, world model, and general AI, definitely check this out and work with @liu_yuejiang ! Yuejiang is super insightful and energetic, and always a joy to work with. Don’t miss this opportunity!
Yuejiang Liu
@liu_yuejiang
Jun 2
Excited to share that I’ll join @NUSComputing as an Assistant Professor in 2027 🏛️ I’ll build LEMA Lab: lema-nus.github.io, study the principles of embodied intelligence, & empower every lab member to thrive 📢 Recruiting 3-6 PhD students in the next application cycles
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Fan Feng
@ffeng01
May 24
Come work with Yujia!
Yujia Zheng
@YujiaZheng9
May 23
Excited to share that I’ll be joining UIUC Statistics and CS (affiliate) @UofIllinois as an Assistant Professor in Fall 2026. Huge thanks to everyone for the support, and I’m looking forward to future collaborations! I’m recruiting PhD students in AI/ML/Stats (26/27), and also
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Fan Feng

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