Accelerating sparse DNN models without hardware-support via tile-wise sparsity. - Cong Guo 003; Bo Yang Hsueh; Jingwen Leng; Yuxian Qiu; Yue Guan 003; Zehuan Wang 001; Xiaoying Jia 001; Xipeng Li; Minyi Guo; Yuhao Zhu 001 (SC, 2020)

Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference. - Zehuan Wang 001; Yingcan Wei; Minseok Lee; Matthias Langer; Fan Yu; Jie Liu; Shijie Liu; Daniel G. Abel; Xu Guo; Jianbing Dong; Ji Shi; Kunlun Li (RecSys, 2022)

A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models. - Yingcan Wei; Matthias Langer; Fan Yu; Minseok Lee; Jie Liu; Ji Shi; Zehuan Wang 001 (RecSys, 2022)

Embedding Optimization for Training Large-scale Deep Learning Recommendation Systems with EMBark. - Shijie Liu; Nan Zheng; Hui Kang; Xavier Simmons; Junjie Zhang; Matthias Langer; Wenjing Zhu; Minseok Lee; Zehuan Wang 001 (RecSys, 2024)

HierarchicalKV: A GPU Hash Table with Cache Semantics for Continuous Online Embedding Storage. - Haidong Rong; Jiashu Yao; Matthias Langer; Shijie Liu; Li Fan; Dongxin Wang; Jia He; Jinglin Chen; Jiaheng Rang; Julian Qian; Mengyao Xu; Fan Yu; et al. (CoRR, 2026)