The Intelligent Supervision System of Farm Based on "Internet + BDS + GIS". - Wei Fu; X. R. Dong; Weiyi Shuai; Mingqi Yang; Jun Wang (CSPS (3), 2018)

Ballistocardiogram-Based Heart Rate Variation Monitoring Using Unsupervised Learning. - Gang Shen; Mingqi Yang; Biyong Zhang (TE, 2018)

A New Variable-Oriented Propagation Scheme for Constraint Satisfaction Problem. - Zhe Li 017; Mingqi Yang; Zhanshan Li (KSEM (2), 2018)

Phases, Microstructures and Mechanical Properties of CoCrNiCuZn High-Entropy Alloy Prepared by Mechanical Alloying and Spark Plasma Sintering. - Yuchen Sun; Boren Ke; Yulin Li; Kai Yang; Mingqi Yang; Wei Ji 007; Zhengyi Fu (Entropy, 2019)

An elastic manifold learning approach to beat-to-beat interval estimation with ballistocardiography signals. - Gang Shen; Ruidong Ding; Mingqi Yang; Dan Han; Biyong Zhang (Adv. Eng. Informatics, 2020)

Breaking the Expressive Bottlenecks of Graph Neural Networks. - Mingqi Yang; Yanming Shen; Heng Qi; Baocai Yin (CoRR, 2020)

Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks. - Mingqi Yang; Yanming Shen; Heng Qi; Baocai Yin (WWW, 2021)

First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track. - Chengxuan Ying; Mingqi Yang; Shuxin Zheng; Guolin Ke; Shengjie Luo; Tianle Cai; Chenglin Wu; Yuxin Wang; Yanming Shen; Di He 001 (CoRR, 2021)

Improving Spectral Graph Convolution for Learning Graph-level Representation. - Mingqi Yang; Rui Li 086; Yanming Shen; Heng Qi; Baocai Yin (CoRR, 2021)

A New Perspective on the Effects of Spectrum in Graph Neural Networks. - Mingqi Yang; Yanming Shen; Rui Li 086; Heng Qi; Qiang Zhang 008; Baocai Yin (ICML, 2022)

Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering. - Mingqi Yang; Wenjie Feng 001; Yanming Shen; Bryan Hooi (ICML, 2023)

Performance Analysis of DOA Estimation Algorithms Using Physical Parameters in Specific Cases. - Jianwei Zhou; Wenjie Wang 001; Xi Hong; Mingqi Yang; Chenhao Zhang 002 (SSP, 2023)

Breaking the Expression Bottleneck of Graph Neural Networks. - Mingqi Yang; Renjian Wang; Yanming Shen; Heng Qi; Baocai Yin (IEEE Trans. Knowl. Data Eng., 2023)

Paralleling and Accelerating Arc Consistency Enforcement with Recurrent Tensor Computations. - Mingqi Yang (CoRR, 2024)

Bridging Molecular Graphs and Large Language Models. - Runze Wang; Mingqi Yang; Yanming Shen (AAAI, 2025)

On the Almost-Sure Termination of Probabilistic Counter Programs. - Sergei Novozhilov; Mingqi Yang; Mingshuai Chen; Zhiyang Li; Jianwei Yin (CAV (2), 2025)

LemmaHead: RAG Assisted Proof Generation Using Large Language Models. - Tianbo Yang; Mingqi Yang; Hongyi Zhao; Tianshuo Yang (CoRR, 2025)

MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder. - Bowen Zhang; Congchao Guo; Geng Yang; Hang Yu; Haozhe Zhang; Heidi Lei; Jialong Mai; Junjie Yan; Kaiyue Yang; Mingqi Yang; Peikai Huang; Ruiyang Jin; et al. (CoRR, 2025)

Preguss: It Analyzes, It Specifies, It Verifies. - Zhongyi Wang 004; Tengjie Lin; Mingshuai Chen; Mingqi Yang; Haokun Li; Xiao Yi; Shengchao Qin; Jianwei Yin (CoRR, 2025)