Yuqing Xia

According to our database, Yuqing Xia authored at least 12 papers between 2017 and 2024.

Collaborative distances:

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

2024

Differential Transformer.

Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei

CoRR, 2024

2023

Retentive Network: A Successor to Transformer for Large Language Models.

Yutao Sun, Li Dong, Shaohan Huang, Shuming Ma, Yuqing Xia, Jilong Xue, Jianyong Wang, Furu Wei

CoRR, 2023

Welder: Scheduling Deep Learning Memory Access via Tile-graph.

Yining Shi, Zhi Yang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, Lidong Zhou

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

2022

A Neural Corpus Indexer for Document Retrieval.

Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang

CoRR, 2022

ROLLER: Fast and Efficient Tensor Compilation for Deep Learning.

Hongyu Zhu, Ruofan Wu, Yijia Diao, Shanbin Ke, Haoyu Li, Chen Zhang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon, Gennady Pekhimenko

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

A Neural Corpus Indexer for Document Retrieval.

Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Spatio-temporal Model Checking for 3D Individual-Based Biofilm Simulations.

Bowen Li, Pahala Gedara Jayathilake, Yuqing Xia, Thomas P. Curtis, Paolo Zuliani

Proceedings of the From Data to Models and Back, 2021

2019

Scalable Feedback of Spectral Projection for Subspace Learning.

Yuqing Xia, Zhenyue Zhang

IEEE Signal Process. Lett., 2019

Minimal Sample Subspace Learning: Theory and Algorithms.

Zhenyue Zhang, Yuqing Xia

J. Mach. Learn. Res., 2019

Manifold Fitting under Unbounded Noise.

Zhigang Yao, Yuqing Xia

CoRR, 2019

2018

Rank-sparsity balanced representation for subspace clustering.

Yuqing Xia, Zhenyue Zhang

Mach. Vis. Appl., 2018

2017

An Adaptive S-Method to Analyze Micro-Doppler Signals for Human Activity Classification.

Fangmin Li, Chao Yang, Yuqing Xia, Xiaolin Ma, Tao Zhang, Zhou Zhou

Sensors, 2017