Xingcheng Yao

According to our database, Xingcheng Yao authored at least 6 papers between 2021 and 2023.

Collaborative distances:

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

2023

CogDL: A Comprehensive Library for Graph Deep Learning.

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang

Proceedings of the ACM Web Conference 2023, 2023

Automatic Truss Design with Reinforcement Learning.

Weihua Du, Jinglun Zhao, Chao Yu, Xingcheng Yao, Zimeng Song, Siyang Wu, Ruifeng Luo, Zhiyuan Liu, Xianzhong Zhao, Yi Wu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

SOAER: Self-Obstacle Avoiding Escape Routing for Paper-Based Digital Microfluidic Biochips.

Weiqing Ji, Xingcheng Yao, Hailong Yao, Tsung-Yi Ho, Ulf Schlichtmann, Xia Yin

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022

NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework.

Xingcheng Yao, Yanan Zheng, Xiaocong Yang, Zhilin Yang

Proceedings of the International Conference on Machine Learning, 2022

2021

CogDL: An Extensive Toolkit for Deep Learning on Graphs.

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang

CoRR, 2021

SimCSE: Simple Contrastive Learning of Sentence Embeddings.

Tianyu Gao, Xingcheng Yao, Danqi Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021