Lan Feng (冯岚)

Research Intern. EPFL.


I earned my Master’s degree in Robotics, Systems, and Control from ETH Zurich, under the guidance of Prof. Otmar Hilliges. During my studies at ETH, I collaborated remotely with Prof. Bolei Zhou in the development of MetaDriverse. Prior to arriving in Zurich, I completed a year-long internship at SenseTime, working with Dr. Chunxiao Liu. I received my Bachelor’s degree from Wuhan University.

My interest lies in the development of Embodied AI capable of modeling, predicting, and generating human-like behaviors.


Jan 29, 2024 My thesis on SynH2R has been accepted to ICRA 2024!
Nov 1, 2023 I came to the VITA lab at EPFL for an internship. I will work with Prof. Alexandre Alahi on autonomous driving.
Oct 11, 2023 Graduated from ETH Zurich!
Jun 1, 2023 We released ScenarioNet for simulating large-scale traffic scenarios. Browse scenario gallery here!

Publications (* indicates joint first author)

  1. ICRA
    SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handovers
    Sammy Christen*, Lan, Feng* , Wei Yang, Yu-Wei Chao, Otmar Hilliges, and Jie Song
    In International Conference on Robotics and Automation (ICRA) , 2024
  2. NeurIPS
    ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling
    Quanyi Li*, Zhenghao Peng*, Lan, Feng* , Zhizheng liu, Chenda Duan, Wenjie Mo, and Bolei Zhou
    In Neural Information Processing Systems, Dataset & Benchmark Track (NeurIPS) , 2023
  3. ICRA
    TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
    Lan, Feng* , Quanyi Li*, Zhenghao Peng*, Shuhan Tan, and Bolei Zhou
    In International Conference on Robotics and Automation (ICRA) , 2023
  4. ECCV workshop
    Controllable Human Grasp Generation
    Lan, Feng , Sammy Christen, and Jie Song
    In European Conference on Computer Vision workshop (ECCV workshop) , 2022
  5. NeurIPS
    Human-AI Shared Control via Frequency-based Policy Dissection
    Quanyi Li, Zhenghao Peng, Haibin Wu, Lan, Feng , and Bolei Zhou
    In Neural Information Processing Systems (NeurIPS) , 2022
  6. TPAMI
    MetaDrive: Composing Diverse Driving Scenarios for Generalizable Learning
    Quanyi Li*, Zhenghao Peng*, Lan, Feng , Qihang Zhang, Zhenghai Xue, and Bolei Zhou
    In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2022


  1. 1st Place
    IP-MMT: Interaction Prediction via MultiModal Transformer
    Lan, Feng* , Qihang Zhang*, Yicheng Liu, Fan Li, Gang Sun, Chunxiao Liu, and Bolei Zhou
    In Waymo Open Dataset Challenge—Interaction Prediction Track (1st Place) , 2021
  2. Course Project
    Floorplan Localization and Navigation
    Lan, Feng , Ziteng Wang, Yuhan Zhang, Tianyi Zhang, and Paul-Edouard Sarlin
    In Mixed Reality (Course Project) , 2022
  3. Course Project
    Towards World Models for Robot Navigation
    Lan, Feng , Xiang Liu, and Daniel Dugas
    In Perception and Learning for Robotics (Course Project) , 2022
  4. Course Project
    Benchmarking Safety Performance in Reinforcement Learning with Statistical Metrics
    Lan, Feng , Junzhe He, Lei Li, and Niao He
    In Foundation of Reinforcement Learning (Course Project) , 2021