Shangyu Wu

According to our database, Shangyu Wu authored at least 26 papers between 2019 and 2026.

Collaborative distances:

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

2026

ReFilter: Improving Robustness of Retrieval-Augmented Generation via Gated Filter.

Yixin Chen, Ying Xiong, Shangyu Wu, Xiangrui Ke, Nan Guan, Chun Jason Xue

CoRR, February, 2026

ContiguousKV: Accelerating LLM Prefill with Granularity-Aligned KV Cache Management.

Jing Zou, Shangyu Wu, Hancong Duan, Qiao Li, Chun Jason Xue

CoRR, January, 2026

LAPS: A Length-Aware-Prefill LLM Serving System.

Jianshu She, Zonghang Li, Hongchao Du, Shangyu Wu, Wenhao Zheng, Eric Xing, Zhengzhong Liu, Huaxiu Yao, Jason Xue, Qirong Ho

CoRR, January, 2026

ColdCode: Cold Data Encoding for Enhanced Reliability and Lifetime in 3D NAND Flash.

Qiao Li, Shangyu Wu, Zheng Wan, Yufei Cui, Jie Zhang, Chun Jason Xue

Proceedings of the 21st European Conference on Computer Systems, 2026

ClawMobile: Rethinking Smartphone-Native Agentic Systems.

Hongchao Du, Shangyu Wu, Qiao Li, Riwei Pan, Jinheng Li, Youcheng Sun, Chun Jason Xue

Proceedings of the Sixth European Workshop on Machine Learning and Systems, EuroMLSys 2026, 2026

2025

Nav-EE: Navigation-Guided Early Exiting for Efficient Vision-Language Models in Autonomous Driving.

Haibo Hu, Lianming Huang, Xinyu Wang, Yufei Cui, Shangyu Wu, Nan Guan, Chun Jason Xue

CoRR, October, 2025

Beyond Semantic Similarity: Reducing Unnecessary API Calls via Behavior-Aligned Retriever.

Yixin Chen, Ying Xiong, Shangyu Wu, Yufei Cui, Xue (Steve) Liu, Nan Guan, Chun Jason Xue

CoRR, August, 2025

A²ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization.

Junhui He, Junna Xing, Nan Wang, Rui Xu, Shangyu Wu, Peng Zhou, Qiang Liu, Chun Jason Xue, Qingan Li

CoRR, February, 2025

EvoP: Robust LLM Inference via Evolutionary Pruning.

Shangyu Wu, Hongchao Du, Ying Xiong, Shuai Chen, Tei-Wei Kuo, Nan Guan, Chun Jason Xue

Proceedings of the Natural Language Processing and Chinese Computing, 2025

FlexInfer: Breaking Memory Constraint via Flexible and Efficient Offloading for On-Device LLM Inference.

Hongchao Du, Shangyu Wu, Arina Kharlamova, Nan Guan, Chun Jason Xue

Proceedings of the 5th Workshop on Machine Learning and Systems, 2025

MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization.

Chun Hu, Junhui He, Shangyu Wu, Yuxin He, Chun Jason Xue, Qingan Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

GeneQuery: Generalized Gene Expression Prediction from Histology Images via Image-Gene QA.

Ying Xiong, Linjing Liu, Yufei Cui, Shangyu Wu, Xue Liu, Antoni B. Chan, Chun Jason Xue

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

A²ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization.

Junhui He, Junna Xing, Nan Wang, Rui Xu, Shangyu Wu, Peng Zhou, Qiang Liu, Chun Jason Xue, Qingan Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

GeneQuery: A General QA-based Framework for Spatial Gene Expression Predictions from Histology Images.

Ying Xiong, Linjing Liu, Yufei Cui, Shangyu Wu, Xue Liu, Antoni B. Chan, Chun Jason Xue

CoRR, 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