Seuraa
Xinshi Chen
Xinshi Chen
Georgia Institution of Technology
Vahvistettu sähköpostiosoite verkkotunnuksessa bytedance.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Generative adversarial user model for reinforcement learning based recommendation system
X Chen, S Li, H Li, S Jiang, Y Qi, L Song
International Conference on Machine Learning, 1052--1061, 2018
2052018
Efficient probabilistic logic reasoning with graph neural networks
Y Zhang, X Chen, Y Yang, A Ramamurthy, B Li, Y Qi, L Song
International Conference on Learning Representations 2020, 2019
1222019
RNA Secondary Structure Prediction By Learning Unrolled Algorithms
X Chen, Y Li, R Umarov, X Gao, L Song
International Conference on Learning Representations 2020, 2019
772019
A distinct class of vesicles derived from the trans‐Golgi mediates secretion of xylogalacturonan in the root border cell
P Wang, X Chen, C Goldbeck, E Chung, BH Kang
The Plant Journal 92 (4), 596-610, 2017
552017
Learning to stop while learning to predict
X Chen, H Dai, Y Li, X Gao, L Song
International conference on machine learning, 1520-1530, 2020
402020
GLAD: Learning Sparse Graph Recovery
H Shrivastava, X Chen, B Chen, G Lan, S Aluru, L Song
International Conference on Learning Representations 2020, 2019
322019
Can graph neural networks help logic reasoning?
Y Zhang, X Chen, Y Yang, A Ramamurthy, B Li, Y Qi, L Song
arXiv preprint arXiv:1906.02111, 2019
172019
Graph condensation via receptive field distribution matching
M Liu, S Li, X Chen, L Song
arXiv preprint arXiv:2206.13697, 2022
132022
Understanding deep architecture with reasoning layer
X Chen, Y Zhang, C Reisinger, L Song
Advances in Neural Information Processing Systems 33, 1240-1252, 2020
132020
Multi-task learning of order-consistent causal graphs
X Chen, H Sun, C Ellington, E Xing, L Song
Advances in Neural Information Processing Systems 34, 11083-11095, 2021
102021
Particle Flow Bayes' Rule
X Chen, H Dai, L Song
International Conference on Machine Learning, 1022--1031, 2019
10*2019
A deep learning approach to recover conditional independence graphs
H Shrivastava, U Chajewska, R Abraham, X Chen
NeurIPS 2022 Workshop: New Frontiers in Graph Learning, 2022
82022
uGLAD: Sparse graph recovery by optimizing deep unrolled networks
H Shrivastava, U Chajewska, R Abraham, X Chen
arXiv preprint arXiv:2205.11610, 2022
82022
Efficient Dynamic Graph Representation Learning at Scale
X Chen, Y Zhu, H Xu, M Liu, L Xiong, M Zhang, L Song
arXiv preprint arXiv:2112.07768, 2021
62021
Ordinary differential equations for deep learning
X Chen
arXiv preprint arXiv:1911.00502, 2019
52019
A framework for differentiable discovery of graph algorithms
H Dai, X Chen, Y Li, X Gao, L Song
32020
Review: Ordinary differential equations for deep learning
X Chen
CoRR, abs/1911.00502, 2019
22019
2019ab. Generativ e adversarial user model for reinforcement learning based recommendation system
X Chen, S Li, H Li, S Jiang, Y Qi, L Song
International Conference on Machine Learning (ICML’19). PMLR, 1052-1061, 0
2
Le Song. 2019. Generative adversarial user model for reinforcement learning based recommendation system
X Chen, S Li, H Li, S Jiang, Y Qi
International Conference on Machine Learning. PMLR, 1052-1061, 0
2
uGLAD: A deep learning model to recover conditional independence graphs
H Shrivastava, U Chajewska, R Abraham, X Chen
2022
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
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