Xinshi Chen

Researcher, ByteDance Inc.

Joined

September 2018

Names

Xinshi Chen (Preferred)

Emails

****@gatech.edu (Confirmed)

****@bytedance.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Researcher

ByteDance Inc. (bytedance.com)

2022 – Present

PhD student

Georgia Institute of Technology (gatech.edu)

2017 – 2022

Intern

Facebook (facebook.com)

2020 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Le Song

2017 – Present

Expertise

No areas of expertise listed

Publications

Protenix - Advancing Structure Prediction Through a Comprehensive AlphaFold3 Reproduction
Xinshi Chen, Yuxuan Zhang, Chan Lu, Wenzhi Ma, Jiaqi Guan, Chengyue Gong, Jincai Yang, Hanyu Zhang, Ke Zhang, Shenghao Wu, Kuangqi Zhou, Yanping Yang, Zhenyu Liu, Lan Wang, Bo Shi, Shaochen Shi, Wenzhi Xiao
- OpenReview Archive Direct Upload
- Readers: Everyone
A deep learning approach to recover conditional independence graphs
Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen
- Published: 22 Nov 2022, Last Modified: 05 May 2023
- NeurIPS 2022 GLFrontiers Workshop
- Readers: Everyone
uGLAD: A deep learning model to recover conditional independence graphs
Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Provable Learning-based Algorithm For Sparse Recovery
Xinshi Chen, Haoran Sun, Le Song
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
Multi-task Learning of Order-Consistent Causal Graphs
Xinshi Chen, Haoran Sun, Caleb Ellington, Eric Xing, Le Song
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone
A Framework For Differentiable Discovery Of Graph Algorithms
Hanjun Dai, Xinshi Chen, Yu Li, Xin Gao, Le Song
- Published: 12 Dec 2020, Last Modified: 05 May 2023
- LMCA2020 Oral
- Readers: Everyone
A Framework For Differentiable Discovery Of Graph Algorithms
Hanjun Dai, Xinshi Chen, Yu Li, Xin Gao, Le Song
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Learning Two-Time-Scale Representations For Large Scale Recommendations
Xinshi Chen, Yan Zhu, Haowen Xu, Muhan Zhang, Liang Xiong, Le Song
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song
- 2019 (modified: 11 Nov 2022)
- ICML 2019
- Readers: Everyone
Particle Flow Bayes' Rule
Xinshi Chen, Hanjun Dai, Le Song
- 2019 (modified: 11 Nov 2022)
- ICML 2019
- Readers: Everyone

Co-Authors

View all 34 co-authors