Xinshi Chen

According to our database, Xinshi Chen authored at least 20 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Duality Between Deep Learning And Algorithm Design.

Xinshi Chen

PhD thesis, 2022

Graph Condensation via Receptive Field Distribution Matching.

Mengyang Liu, Shanchuan Li, Xinshi Chen, Le Song

CoRR, 2022

uGLAD: Sparse graph recovery by optimizing deep unrolled networks.

Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen

CoRR, 2022

Provable Learning-based Algorithm For Sparse Recovery.

Xinshi Chen, Haoran Sun, Le Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Efficient Dynamic Graph Representation Learning at Scale.

Xinshi Chen, Yan Zhu, Haowen Xu, Mengyang Liu, Liang Xiong, Muhan Zhang, Le Song

CoRR, 2021

Multi-task Learning of Order-Consistent Causal Graphs.

Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Understanding Deep Architectures with Reasoning Layer.

Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song

CoRR, 2020

Understanding Deep Architecture with Reasoning Layer.

Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning To Stop While Learning To Predict.

Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song

Proceedings of the 37th International Conference on Machine Learning, 2020

Efficient Probabilistic Logic Reasoning with Graph Neural Networks.

Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song

Proceedings of the 8th International Conference on Learning Representations, 2020

GLAD: Learning Sparse Graph Recovery.

Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song

Proceedings of the 8th International Conference on Learning Representations, 2020

RNA Secondary Structure Prediction By Learning Unrolled Algorithms.

Xinshi Chen, Yu Li, Ramzan Umarov, Xin Gao, Le Song

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Review: Ordinary Differential Equations For Deep Learning.

Xinshi Chen

CoRR, 2019

Can Graph Neural Networks Help Logic Reasoning?

Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song

CoRR, 2019

GLAD: Learning Sparse Graph Recovery.

Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song

CoRR, 2019

Meta Particle Flow for Sequential Bayesian Inference.

Xinshi Chen, Hanjun Dai, Le Song

CoRR, 2019

Parametric FEM for Shape Optimization applied to Golgi Stack.

Xinshi Chen, Eric Tsz Shun Chung

CoRR, 2019

Particle Flow Bayes' Rule.

Xinshi Chen, Hanjun Dai, Le Song

Proceedings of the 36th International Conference on Machine Learning, 2019

Generative Adversarial User Model for Reinforcement Learning Based Recommendation System.

Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Neural Model-Based Reinforcement Learning for Recommendation.

Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song

CoRR, 2018