Shangyu Wu

According to our database, Shangyu Wu authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Retrieval-Augmented Generation for Natural Language Processing: A Survey.

Shangyu Wu, Ying Xiong, Yufei Cui, Haolun Wu, Can Chen, Ye Yuan, Lianming Huang, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue

CoRR, 2024

RAEE: A Training-Free Retrieval-Augmented Early Exiting Framework for Efficient Inference.

Lianming Huang, Shangyu Wu, Yufei Cui, Ying Xiong, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue

CoRR, 2024

Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion.

Shangyu Wu, Ying Xiong, Yufei Cui, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue

CoRR, 2024

ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion.

Shangyu Wu, Ying Xiong, Yufei Cui, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LeaderKV: Improving Read Performance of KV Stores via Learned Index and Decoupled KV Table.

Yi Wang, Jianan Yuan, Shangyu Wu, Huan Liu, Jiaxian Chen, Chenlin Ma, Jianbin Qin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification.

Junhui He, Shangyu Wu, Weidong Wen, Chun Jason Xue, Qingan Li

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Tidal-Tree-Mem: Toward Read-Intensive Key-Value Stores With Tidal Structure Based on LSM-Tree.

Chenlin Ma, Hao Yang, Shangyu Wu, Yi Wang, Rui Mao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2023

2022

Bits-Ensemble: Toward Light-Weight Robust Deep Ensemble by Bits-Sharing.

Yufei Cui, Shangyu Wu, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

NFL: Robust Learned Index via Distribution Transformation.

Shangyu Wu, Yufei Cui, Jinghuan Yu, Xuan Sun, Tei-Wei Kuo, Chun Jason Xue

Proc. VLDB Endow., 2022

Work-in-Progress: Lark: A Learned Secondary Index Toward LSM-tree for Resource-Constrained Embedded Storage Systems.

Jianan Yuan, Huan Liu, Shangyu Wu, Yiquan Lin, Tiantian Wang, Chenlin Ma, Rui Mao, Yi Wang

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022

2020

Towards Read-Intensive Key-Value Stores with Tidal Structure Based on LSM-Tree.

Yi Wang, Shangyu Wu, Rui Mao

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

Towards Cross-Platform Inference on Edge Devices with Emerging Neuromorphic Architecture.

Shangyu Wu, Yi Wang, Amelie Chi Zhou, Rui Mao, Zili Shao, Tao Li

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019