Yingjie Miao

Machine Learning Research Engineer, Optiver

Joined

September 2020

Names

Yingjie Miao (Preferred)

Emails

****@google.com (Confirmed)

****@outlook.com (Confirmed)

Personal Links

Google Scholar

DBLP

Semantic Scholar

Career & Education History

Machine Learning Research Engineer

Optiver (optiver.com)

2024 – Present

Software Engineer

Google DeepMind (google.com)

2015 – 2024

PhD student

State University of New York, Buffalo (buffalo.edu)

2006 – 2012

Undergrad student

Nanjing University (nju.edu)

2002 – 2006

Advisors, Relations & Conflicts

No relations added

Expertise

Reinforcement Learning

2020 – Present

AutoML

2020 – Present

Publications

Scaling Offline Q-Learning with Vision Transformers
Yingjie Miao, Jordi Orbay, Rishabh Agarwal, Aviral Kumar, George Tucker, Aleksandra Faust
- FMDM@NeurIPS2023
- Readers: Everyone
Guided Evolution with Binary Discriminators for ML Program Search
John D Co-Reyes, Yingjie Miao, George Tucker, Aleksandra Faust, Esteban Real
- Submitted to ICLR 2024
- Readers: Everyone
Understanding HTML with Large Language Models
Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin V Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, Aleksandra Faust
- EMNLP 2023 Findings
- Readers: Everyone
Guided Evolution with Binary Predictors for ML Program Search
John D Co-Reyes, Yingjie Miao, George Tucker, Aleksandra Faust, Esteban Real
- SODS 2023 Poster
- Readers: Everyone
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Raghu Rajan, Jack Parker-Holder, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
- AutoML 2023 (Journal Track)
- Readers: Everyone
Understanding HTML with Large Language Models
Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin V Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, Aleksandra Faust
- Published: 04 Mar 2023, Last Modified: 16 May 2023
- ME-FoMo 2023 Poster
- Readers: Everyone
Unified Functional Hashing in Automatic Machine Learning
Ryan Gillard, Stephen Jonany, Yingjie Miao, Michael Munn, Connal de Souza, Jonathan Dungay, Chen Liang, David R. So, Quoc V. Le, Esteban Real
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
UNDERSTANDING HTML WITH LARGE LANGUAGE MODELS
Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin V Huang, Sharan Narang, Aakanksha Chowdhery, Noah Fiedel, Aleksandra Faust
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
- 24 Aug 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Multi-objective evolution for Generalizable Policy Gradient Algorithms
Juan Jose Garau-Luis, Yingjie Miao, John D Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust
- Published: 27 Apr 2022, Last Modified: 14 Jan 2026
- ICLR 2022 GPL Poster
- Readers: Everyone

View all 22 publications

Co-Authors

View all 48 co-authors