MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions. - Wenqi Jiang 001; Zhenhao He; Shuai Zhang 007; Thomas B. Preußer; Kai Zeng 002; Liang Feng; Jiansong Zhang 001; Tongxuan Liu; Yong Li 020; Jingren Zhou 001; Ce Zhang 001; Gustavo Alonso (CoRR, 2020)

Distributed Recommendation Inference on FPGA Clusters. - Yu Zhu; Zhenhao He; Wenqi Jiang 001; Kai Zeng 002; Jingren Zhou 001; Gustavo Alonso (FPL, 2021)

FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters. - Wenqi Jiang 001; Zhenhao He; Shuai Zhang 007; Kai Zeng 002; Liang Feng; Jiansong Zhang 001; Tongxuan Liu; Yong Li 020; Jingren Zhou 001; Ce Zhang 001; Gustavo Alonso (KDD, 2021)

MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions. - Wenqi Jiang 001; Zhenhao He; Shuai Zhang 007; Thomas B. Preußer; Kai Zeng 002; Liang Feng; Jiansong Zhang 001; Tongxuan Liu; Yong Li 020; Jingren Zhou 001; Ce Zhang 001; Gustavo Alonso (MLSys, 2021)

Switch Spaces: Learning Product Spaces with Sparse Gating. - Shuai Zhang 007; Yi Tay; Wenqi Jiang 001; Da-Cheng Juan; Ce Zhang 001 (CoRR, 2021)

Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning. - Shaoxiong Ji; Wenqi Jiang 001; Anwar Walid; Xue Li 001 (IEEE Intell. Syst., 2022)

Data-Informed Geometric Space Selection. - Shuai Zhang 007; Wenqi Jiang 001 (NeurIPS, 2023)

Co-design Hardware and Algorithm for Vector Search. - Wenqi Jiang 001; Shigang Li 002; Yu Zhu; Johannes de Fine Licht; Zhenhao He; Runbin Shi; Cédric Renggli; Shuai Zhang 007; Theodoros Rekatsinas; Torsten Hoefler; Gustavo Alonso (SC, 2023)

Data Processing with FPGAs on Modern Architectures. - Wenqi Jiang 001; Dario Korolija; Gustavo Alonso (SIGMOD Conference Companion, 2023)

SwiftSpatial: Spatial Joins on Modern Hardware. - Wenqi Jiang 001; Martin Parvanov; Gustavo Alonso (CoRR, 2023)

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. - Qi Chen 009; Xiubo Geng; Corby Rosset; Carolyn Buractaon; Jingwen Lu; Tao Shen 001; Kun Zhou 002; Chenyan Xiong; Yeyun Gong; Paul N. Bennett; Nick Craswell; Xing Xie 001; et al. (WWW (Companion Volume), 2024)

PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design. - Wenqi Jiang 001; Shuai Zhang 007; Boran Han; Jie Wang 022; Bernie Wang 001; Tim Kraska (CoRR, 2024)

Accelerating Graph-based Vector Search via Delayed-Synchronization Traversal. - Wenqi Jiang 001; Hang Hu; Torsten Hoefler; Gustavo Alonso (CoRR, 2024)

Efficient Tabular Data Preprocessing of ML Pipelines. - Yu Zhu; Wenqi Jiang 001; Gustavo Alonso (CoRR, 2024)

Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models. - Wenqi Jiang 001; Marco Zeller; Roger Waleffe; Torsten Hoefler; Gustavo Alonso (Proc. VLDB Endow., 2024)

RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving. - Wenqi Jiang 001; Suvinay Subramanian; Cat Graves; Gustavo Alonso; Amir Yazdanbakhsh; Vidushi Dadu (ISCA, 2025)

PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism. - Wenqi Jiang 001; Shuai Zhang 007; Boran Han; Jie Wang 022; Bernie Wang 001; Tim Kraska (KDD (1), 2025)

Multi-Tenant SmartNICs for In-Network Preprocessing of Recommender Systems. - Yu Zhu; Wenqi Jiang 001; Gustavo Alonso (CoRR, 2025)

SwiftSpatial: Spatial Joins on Modern Hardware. - Wenqi Jiang 001; Oleh-Yevhen Khavrona; Martin Parvanov; Gustavo Alonso (Proc. ACM Manag. Data, 2025)