Li Ding | 丁立
I'm a 2nd-year Ph.D. student in Computer Science at UMass
Amherst CICS, advised by Prof. Lee
Spector. My research interests are evolutionary algorithms,
deep learning, computer vision, and quantum computing.
Previously, I was a Research Engineer at MIT, working on
autonomous vehicles and human-centered AI with
Dr. Lex Fridman and
Reimer. I was also an ASP graduate
MIT EECS, and
TAed a few courses (including
to that, I was a Research Associate at the
Rochester, working on video action recognition with
- 04/2022 - I will be attending and
volunteering at ICLR '22 (virtual).
- 03/2022 - Our paper on accelerating
lexicase selection got accepted to GECCO '22 as a poster.
- 03/2022 - Presented our work on evolutionary deep
learning at UMass CICS (Autonomous Learning Lab).
- 02/2022 - I will be interning at Meta
Reality Labs (Burlingame, CA) in summer '22.
- 01/2022 - Our paper on evolutionary deep
learning got accepted at ICLR '22.
- 07/2021 - Our paper on spatiotemporal driving scene segmentation
got published in IEEE Transactions on Intelligent Vehicles.
- 04/2021 - Our paper on adaptive neuroevolution got accepted at
GECCO '21 Workshop on NeuroEvolution at Work.
- 04/2021 - Our paper on perceptual evaluation of driving scene
segmentation got accepted at IV '21.
- 10/2020 - Presented our work on driving scene perception at IV,
Research & Advanced Engineering, and AutoSens.
- 09/2020 - Started Ph.D. study at UMass Amherst CICS.
- 10/2019 - Presented our work on driving scene perception at MIT
CSAIL (Data Systems Group).
- 09/2019 - Started graduate study (ASP) at MIT EECS.
- 04/2019 - Our paper on human supervision of black box AI got
accepted at CVPR '19 Workshop on Autonomous Driving.
- 09/2018 - Our paper on human interaction with deep RL agents in
VR got accepted at NeurIPS '18 Deep RL Workshop.
- 04/2018 - Our paper on weakly-supervised action recognition got
accepted at CVPR '18.
- 09/2017 - Started Research Engineer (full-time) at MIT.