BioPhysical Modeling, Characterization and Optimization of Electro-Quasistatic Human Body Communication. - Shovan Maity; Mingxuan He; Mayukh Nath; Debayan Das; Baibhab Chatterjee; Shreyas Sen (CoRR, 2018)

TONG: a wearable system to remind people of interpersonal distance. - Shuo Li; Yifan Yang; Mingxuan He; Ying Wang; Cheng Yao (UbiComp/ISWC Adjunct, 2019)

Bio-Physical Modeling, Characterization, and Optimization of Electro-Quasistatic Human Body Communication. - Shovan Maity; Mingxuan He; Mayukh Nath; Debayan Das; Baibhab Chatterjee; Shreyas Sen (IEEE Trans. Biomed. Eng., 2019)

Novel pose measurement with optimized principal component analysis for unknown spacecraft based on point cloud. - Guiyang Zhang; Ju Huo; Zhanyu Zhang; Mingxuan He; Jinjie Zhang; Muyao Xue (ICMIP, 2020)

Newton: A DRAM-maker's Accelerator-in-Memory (AiM) Architecture for Machine Learning. - Mingxuan He; Choungki Song; Ilkon Kim; Chunseok Jeong; Seho Kim; Il Park 001; Mithuna Thottethodi; T. N. Vijaykumar (MICRO, 2020)

Booster: An Accelerator for Gradient Boosting Decision Trees. - Mingxuan He; T. N. Vijaykumar; Mithuna Thottethodi (CoRR, 2020)

Cascading Failures and the Robustness of Cooperation in a Unified Scale-Free Network Model. - Mingxuan He; Matthew Gao; Yang Gao; Fernanda M. Eliott (COMPLEX NETWORKS, 2021)

Attention cutting and padding learning for fine-grained image recognition. - Zhuo Cheng; Hongjian Li; Xiaolin Duan; Xiangyan Zeng; Mingxuan He; Hao Luo (Multim. Tools Appl., 2021)

Booster: An Accelerator for Gradient Boosting Decision Trees Training and Inference. - Mingxuan He; Mithuna Thottethodi; T. N. Vijaykumar (IPDPS, 2022)

Heterogeneous Hyperthreading. - Mingxuan He; Fangping Liu; Sang Wook Stephen Do (IPDPS (Workshops), 2024)

Efficient Sparse Processing-in-Memory Architecture (ESPIM) for Machine Learning Inference. - Mingxuan He; Mithuna Thottethodi; T. N. Vijaykumar (CoRR, 2024)

Low-Latency Adaptive Distributed Stream Join System Based on a Flexible Join Model. - Qihang Wang; Decheng Zuo; Zhan Zhang 006; Yanjun Shu; Xin Liu; Mingxuan He (Proc. ACM Manag. Data, 2024)

A Gaussian Temporal Based Graph Convolutional Network for Traffic Operation Flow Forecasting. - Jiahao Zhang; Shulan Guo; Shangda Xiao; Mingxuan He; Hequn Xian; Zesheng Cheng (ICCCN, 2025)