Towards Cross-Platform Inference on Edge Devices with Emerging Neuromorphic Architecture. - Shangyu Wu; Yi Wang 003; Amelie Chi Zhou; Rui Mao 001; Zili Shao; Tao Li 006 (DATE, 2019)

Towards Read-Intensive Key-Value Stores with Tidal Structure Based on LSM-Tree. - Yi Wang 003; Shangyu Wu; Rui Mao 001 (ASP-DAC, 2020)

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 001; Yi Wang 003 (CODES+ISSS, 2022)

NFL: Robust Learned Index via Distribution Transformation. - Shangyu Wu; Yufei Cui; Jinghuan Yu; Xuan Sun 003; Tei-Wei Kuo; Chun Jason Xue (Proc. VLDB Endow., 2022)

Bits-Ensemble: Toward Light-Weight Robust Deep Ensemble by Bits-Sharing. - Yufei Cui; Shangyu Wu; Qiao Li 001; Antoni B. Chan; Tei-Wei Kuo; Chun Jason Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Tidal-Tree-Mem: Toward Read-Intensive Key-Value Stores With Tidal Structure Based on LSM-Tree. - Chenlin Ma; Hao Yang; Shangyu Wu; Yi Wang 003; Rui Mao 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification. - Junhui He; Shangyu Wu; Weidong Wen; Chun Jason Xue; Qingan Li (EMNLP, 2024)

LeaderKV: Improving Read Performance of KV Stores via Learned Index and Decoupled KV Table. - Yi Wang 003; Jianan Yuan; Shangyu Wu; Huan Liu; Jiaxian Chen; Chenlin Ma; Jianbin Qin (ICDE, 2024)

ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion. - Shangyu Wu; Ying Xiong; Yufei Cui; Xue Liu 001; Buzhou Tang; Tei-Wei Kuo; Chun Jason Xue (ICLR, 2024)

Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion. - Shangyu Wu; Ying Xiong; Yufei Cui; Xue Liu 001; Buzhou Tang; Tei-Wei Kuo; 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 001; Tei-Wei Kuo; Nan Guan; Chun Jason Xue (CoRR, 2024)

Retrieval-Augmented Generation for Natural Language Processing: A Survey. - Shangyu Wu; Ying Xiong; Yufei Cui; Haolun Wu; Can Chen 005; Ye Yuan 017; Lianming Huang; Xue Liu 001; Tei-Wei Kuo; Nan Guan; Chun Jason Xue (CoRR, 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 001; Antoni B. Chan; Chun Jason Xue (CoRR, 2024)

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 (ACL (Findings), 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 (EuroMLSys, 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, 2025)

EvoP: Robust LLM Inference via Evolutionary Pruning. - Shangyu Wu; Hongchao Du; Ying Xiong; Shuai Chen; Tei-Wei Kuo; Nan Guan; Chun Jason Xue (CoRR, 2025)

AD-EE: Early Exiting for Fast and Reliable Vision-Language Models in Autonomous Driving. - Lianming Huang; Haibo Hu; Yufei Cui; Jiacheng Zuo; Shangyu Wu; Nan Guan; Chun Jason Xue (CoRR, 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, 2025)