ATLAS: a probabilistic algorithm for high dimensional similarity search. - Jiaqi Zhai; Yin Lou; Johannes Gehrke (SIGMOD Conference, 2011)

Generating Representative Headlines for News Stories. - Xiaotao Gu; Yuning Mao; Jiawei Han 001; Jialu Liu; You Wu 001; Cong Yu 001; Daniel Finnie; Hongkun Yu 001; Jiaqi Zhai; Nicholas Zukoski (WWW, 2020)

Research on Diffusion Mechanism of Green Innovation of Cloud Manufacturing Enterprises Based on BA Scale-Free Agglomeration Network Game. - Jianzhong Xu; Jiaqi Zhai; Feng'en Li; Xichen Lv (IEEE Access, 2020)

More Efficient Trapdoor-Permutation-Based Sequential Aggregate Signatures with Lazy Verification. - Jiaqi Zhai; Jian Liu 004; Lusheng Chen (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Model-Agnostic Graph Regularization for Few-Shot Learning. - Ethan Shen; Maria Brbic; Nicholas Monath; Jiaqi Zhai; Manzil Zaheer; Jure Leskovec (CoRR, 2021)

Revisiting Neural Retrieval on Accelerators. - Jiaqi Zhai; Zhaojie Gong; Yueming Wang; Xiao Sun 013; Zheng Yan 007; Fu Li; Xing Liu (KDD, 2023)

FPGA-Based Vehicle Detection and Tracking Accelerator. - Jiaqi Zhai; Bin Li 023; Shunsen Lv; Qinglei Zhou (Sensors, 2023)

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations. - Jiaqi Zhai; Lucy Liao; Xing Liu; Yueming Wang; Rui Li; Xuan Cao; Leon Gao; Zhaojie Gong; Fangda Gu; Jiayuan He 008; Yinghai Lu; Yu Shi (ICML, 2024)

Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention. - Rengan Xu; Junjie Yang; Yifan Xu; Hong Li; Xing Liu; Devashish Shankar; Haoci Zhang; Meng Liu; Boyang Li; Yuxi Hu 001; Mingwei Tang; Zehua Zhang; et al. (RecSys, 2024)

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations. - Jiaqi Zhai; Lucy Liao; Xing Liu; Yueming Wang; Rui Li; Xuan Cao; Leon Gao; Zhaojie Gong; Fangda Gu; Michael He; Yinghai Lu; Yu Shi (CoRR, 2024)

Efficient Retrieval with Learned Similarities. - Bailu Ding; Jiaqi Zhai (CoRR, 2024)

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Yejin Lee 010; Anna Y. Sun; Basil Hosmer; Bilge Acun; Can Balioglu; Changhan Wang; Charles David Hernandez; Christian Puhrsch; Daniel Haziza; Driss Guessous; Francisco Massa; Jacob Kahn; et al. (CoRR, 2024)

AccelES: Accelerating Top-K SpMV for Embedding Similarity via Low-bit Pruning. - Jiaqi Zhai; Xuanhua Shi; Kaiyi Huang; Chencheng Ye 001; Weifang Hu; Bingsheng He; Hai Jin 001 (HPCA, 2025)

Retrieval with Learned Similarities. - Bailu Ding; Jiaqi Zhai (WWW, 2025)

CFP: Low-overhead Profiling-based Intra-operator Parallelism Generation by Preserving Communication-Free Structures. - Weifang Hu; Xuanhua Shi; Chang Wu; Yunkai Zhang; Xuan Peng; Jiaqi Zhai; Hai Jin 001; Yongluan Zhou; Xuehai Qian (CoRR, 2025)

Request-Only Optimization for Recommendation Systems. - Liang Guo; Wei Li; Lucy Liao; Huihui Cheng; Rui Zhang; Yu Shi; Yueming Wang; Yanzun Huang; Keke Zhai; Pengchao Wang; Timothy Shi; Xuan Cao; et al. (CoRR, 2025)