Hello, I'm Ben Ling

I am a machine learning engineer at Electronic Arts. I received a Ph.D. in Computer Science from the University of British Columbia, advised by Professor Michiel van de Panne. In undergrad, I studied Engineering Science in Electrical and Computer Engineering at the University of Toronto. My work focuses on simulating believable virtual characters using physics, motion capture, motion synthesis, and deep learning (ML/RL).

Research

Learning Soccer Juggling Skills with Layer-wise Mixture-of-Experts. Zhaoming Xie, Sebastian Starke, Hung Yu Ling, Michiel van de Panne. ACM SIGGRAPH, 2022. Contriubtion: designed the layer-wise MoE architecture
Paper / Website / GitHub
Learning to Brachiate via Simplified Model Imitation. Hung Yu Ling*, Daniele Reda*, Michiel van de Panne. ACM SIGGRAPH, 2022.
Paper / Website / GitHub
Flexible Motion Optimization with Modulated Assistive Forces. Hung Yu Ling*, Nam Hee Kim*, Zhaoming Xie, Michiel van de Panne. Symposium on Computer Animation (SCA), 2021.
Paper / Website
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills. Hung Yu Ling*, Zhaoming Xie*, Nam Hee Kim, Michiel van de Panne. Symposium on Computer Animation (SCA), 2020. Best Paper Award
Paper / Website / GitHub
Character Controllers Using Motion VAEs. Hung Yu Ling, Fabio Zinno, George Cheng, Michiel van de Panne. ACM Transactions on Graphics (SIGGRAPH), 2020.
Paper / Website / GitHub / Poster
On Learning Symmetric Locomotion. Farzad Abdolhosseini, Hung Yu Ling, Zhaoming Xie, Xue Bin Peng, Michiel van de Panne. Motion, Interaction and Games (MIG), 2019.
Paper / Website / GitHub / Poster
Spitzer SAGE-Spec: Near Infrared Spectroscopy, Dust Shells, and Cool Envelopes in Extreme Large Magellanic Cloud Asymptotic Giant Branch Stars. Robert Blum, Sundar Srinivasan, Francisca Kemper, Ben Ling, Kevin Volk. The Astronomical Journal, 2014.
Paper