Co-Reduction of Torque Ripple for Outer Rotor Flux-Switching PM Motor Using Systematic Multi-Level Design and Control Schemes. - Xiaoyong Zhu; Zixuan Xiang; Chao Zhang 016; Li Quan 001; Yi Du; Weiwei Gu (IEEE Trans. Ind. Electron., 2017)

Robust Adaptive Control of Hydraulic System With Input Saturation and Valve Dead-Zone. - Weiwei Gu; Jianyong Yao; Zhikai Yao; Jingzhong Zheng (IEEE Access, 2018)

Link Prediction via Graph Attention Network. - Weiwei Gu; Fei Gao; Xiaodan Lou; Jiang Zhang 006 (CoRR, 2019)

Exploring small-world network with an elite-clique: Bringing embeddedness theory into the dynamic evolution of a venture capital network. - Weiwei Gu; Jar-der Luo; Jifan Liu (Soc. Networks, 2019)

Defining and identifying the optimal embedding dimension of networks. - Weiwei Gu; Aditya Tandon; Yong-Yeol Ahn; Filippo Radicchi (CoRR, 2020)

Application of Color Doppler Ultrasound in the Treatment of Vascular Diseases Around the Cardia. - Guangjun Yan; Zhijiang Li; Weiwei Gu; Jie Lin; Xingyu Hong; Winni Smith; Crystal Jones (J. Medical Imaging Health Informatics, 2020)

Predicting Tie Strength of Chinese Guanxi by Using Big Data of Social Networks. - Xin Gao; Jar-Der Luo; Kunhao Yang; Xiaoming Fu 001; Loring Liu; Weiwei Gu (J. Soc. Comput., 2020)

A Survey on Consensus Mechanisms for Blockchain Technology. - Weiwei Gu; Jianan Li; Zekai Tang (CAIBDA, 2021)

Assessing the Attraction of Cities on Venture Capital From a Scaling Law Perspective. - Ruiqi Li; Lingyun Lu; Tianyu Cui; Weiwei Gu; Shaodong Ma; Gang Xu; Harry Eugene Stanley (IEEE Access, 2021)

Schrödinger's Code: Undefined behavior in theory and practice. - Terence Kelly; Weiwei Gu; Vladimir Maksimovski (ACM Queue, 2021)

Learning Universal Network Representation via Link Prediction by Graph Convolutional Neural Network. - Weiwei Gu; Fei Gao; Ruiqi Li; Jiang Zhang 006 (J. Soc. Comput., 2021)

An Empirical Study on Finding Spans. - Weiwei Gu; Boyuan Zheng; Yunmo Chen; Tongfei Chen; Benjamin Van Durme (EMNLP, 2022)

A Fast Dynamic Adaptive Sampling Algorithm for Large-Scale Online Social Networks. - Jing Jin; Gang Lu; Weiwei Gu (ICCSE (1), 2022)

A Divisive Approach for All Pairs Shortest Path on Large-Scale Graphs with Limited Resources. - Yanwei Liu; Gang Lu; Weiwei Gu (ICCSE (1), 2022)

Unveiling Latent Structure of Venture Capital Syndication Networks. - Weiwei Gu; Ao Yang; Lingyun Lu; Ruiqi Li (Entropy, 2022)

Iterative Document-level Information Extraction via Imitation Learning. - Yunmo Chen; William Gantt; Weiwei Gu; Tongfei Chen; Aaron Steven White; Benjamin Van Durme (EACL, 2023)

Improving Link Prediction Accuracy of Network Embedding Algorithms via Rich Node Attribute Information. - Weiwei Gu; Jinqiang Hou; Weiyi Gu (J. Soc. Comput., 2023)

EasyGraph: A multifunctional, cross-platform, and effective library for interdisciplinary network analysis. - Min Gao 004; Zheng Li; Ruichen Li; Chenhao Cui; Xinyuan Chen; Bodian Ye; Yupeng Li 001; Weiwei Gu; Qingyuan Gong; Xin Wang 002; Yang Chen 001 (Patterns, 2023)

Interactive Visual Task Learning for Robots. - Weiwei Gu; Anant Sah; Nakul Gopalan (AAAI, 2024)

An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning. - Senquan Wang; Weiwei Gu (ICBBT, 2024)

Learning Temporally Composable Task Segmentations with Language. - Divyanshu Raj; Omkar Patil; Weiwei Gu; Chitta Baral; Nakul Gopalan (IROS, 2024)

Continual Skill and Task Learning via Dialogue. - Weiwei Gu; Suresh Kondepudi; Lixiao Huang; Nakul Gopalan (CoRR, 2024)

MWTP: A heterogeneous multiplex representation learning framework for link prediction of weak ties. - Weiwei Gu; Linbi Lv; Gang Lu; Ruiqi Li (Neural Networks, 2025)

Stable High-Frequency Components Recovery via Multichannel Absorption Compensation. - Zelin Li; Shaohua Zhang; Guofa Li; Weiwei Gu (IEEE Trans. Geosci. Remote. Sens., 2025)

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects. - Anmol Gupta; Weiwei Gu; Omkar Patil; Jun Ki Lee; Nakul Gopalan (CoRR, 2025)

Assessing the Robustness and Reducibility of Multiplex Networks with Embedding-Aided Interlayer Similarities. - Haoran Nan; Senquan Wang; Chun Ouyang 003; Yanchen Zhou; Weiwei Gu (CoRR, 2025)