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; Xiaoying Jia 001; Xipeng Li; Minyi Guo; Yuhao Zhu 001 (SC, 2020)

TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors. - Yuelin Zhang; Jia Yan; Zehuan Wang; Xiaoyan Peng; Yutong Tian; Shukai Duan 001 (CoRR, 2021)

Local Manifold Embedding Cross-Domain Subspace Learning for Drift Compensation of Electronic Nose Data. - Yutong Tian; Jia Yan; Danhong Yi; Yuelin Zhang; Zehuan Wang; Tianhang Yu; Xiaoyan Peng; Shukai Duan 001 (IEEE Trans. Instrum. Meas., 2021)

Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference. - Zehuan Wang; 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 (RecSys, 2022)

Al0.87Ga0.13N/Al0.64Ga0.36N HFET with fT >17 GHz and Vbr > 360 V. - Jiahao Chen 007; Kenneth Stephenson; Md Abdullah Mamun; Zehuan Wang; Parthasarathy Seshadri; Asif Khan 011; Chirag Gupta (DRC, 2024)

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 (RecSys, 2024)

IntentPrism: Human-AI Intent Manifestation for Web Information Foraging. - Zehuan Wang; Jiaqi Xiao; Jingwei Sun 005; Can Liu 003 (CHI Extended Abstracts, 2025)