A New Substring Searching Algorithm. - Xiao Zhao; Sihui Li; Yun Yang; Yuyan Chao; Lifeng He (IEICE Trans. Inf. Syst., 2014)

Big Data Equi-Join Optimization Algorithms on Spark Cloud Computing Platform. - Sihui Li; Wei Xu (ICCCS (1), 2018)

Intuitive Control of a Robotic Arm and Hand System With Pneumatic Haptic Feedback. - Sihui Li; Raagini Rameshwar; Ann Marie Votta; Cagdas D. Onal (IEEE Robotics Autom. Lett., 2019)

Towards General Infeasibility Proofs in Motion Planning*. - Sihui Li; Neil T. Dantam (IROS, 2020)

An Integrated Approach to Context-Sensitive Moral Cognition in Robot Cognitive Architectures. - Ryan Blake Jackson; Sihui Li; Santosh Balajee Banisetty; Sriram Siva; Hao Zhang 011; Neil Dantam; Tom Williams 001 (IROS, 2021)

Learning Proofs of Motion Planning Infeasibility. - Sihui Li; Neil Dantam (Robotics: Science and Systems, 2021)

Semantic-Based Sports Music Information Fusion and Retrieval in Wireless Sensor Networks. - Qiaolin Yu; Xiaofei Liu; Sihui Li; Lei Hou; Chengdong Zhu; Ying Lin (J. Sensors, 2021)

Inorganic Thermoelectric Fibers: A Review of Materials, Fabrication Methods, and Applications. - Jiwu Xin; Abdul Basit; Sihui Li; Sylvain Danto; Swee Chuan Tjin; Lei Wei (Sensors, 2021)

Sapphire at SemEval-2022 Task 4: A Patronizing and Condescending Language Detection Model Based on Capsule Networks. - Sihui Li; Xiaobing Zhou (SemEval@NAACL, 2022)

Exponential Convergence of Infeasibility Proofs for Kinematic Motion Planning. - Sihui Li; Neil T. Dantam (WAFR, 2022)

Mapping the 2021 October Flood Event in the Subsiding Taiyuan Basin by Multitemporal SAR Data. - Hao Feng; Lu Zhang 034; Jie Dong 003; Sihui Li; Qixuan Zhao; Jiayin Luo; Mingsheng Liao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Sample-Driven Connectivity Learning for Motion Planning in Narrow Passages. - Sihui Li; Neil T. Dantam (ICRA, 2023)

Consistent Solutions for Optimizing Search Space of Beam Search. - Yehui Xu; Sihui Li; Chujun Pu; Jin Wang 008; Xiaobing Zhou (NLPCC (3), 2023)

Knowledge Graph Completing with Dual Confrontation Learning Model based on Variational Information Bottleneck Method. - Song Han; Zhengyi Guan; Sihui Li; Jin Wang 008; Xiaobing Zhou (QRS, 2023)

Failure Explanation in Privacy-Sensitive Contexts: An Integrated Systems Approach. - Sihui Li; Sriram Siva; Terran Mott; Tom Williams 001; Hao Zhang 011; Neil Dantam (RO-MAN, 2023)

Wasserstein distance based multi-scale adversarial domain adaptation method for remaining useful life prediction. - Huaitao Shi; Chengzhuang Huang; Xiaochen Zhang; Jinbao Zhao; Sihui Li (Appl. Intell., 2023)

A sampling and learning framework to prove motion planning infeasibility. - Sihui Li; Neil T. Dantam (Int. J. Robotics Res., 2023)

GPU-Accelerated Monte Carlo Simulation for a Single-Photon Underwater Lidar. - Yupeng Liao; Mingjia Shangguan; Zhifeng Yang; Zaifa Lin; Yuanlun Wang; Sihui Li (Remote. Sens., 2023)

Prediction of fault evolution and remaining useful life for rolling bearings with spalling fatigue using digital twin technology. - Weiying Meng; Yutong Wang; Xiaochen Zhang; Sihui Li; Xu Bai; Lingling Hou (Appl. Intell., 2023)

Scaling Infeasibility Proofs via Concurrent, Codimension-One, Locally-Updated Coxeter Triangulation. - Sihui Li; Neil T. Dantam (IEEE Robotics Autom. Lett., 2023)

A Sampling Ensemble for Asymptotically Complete Motion Planning with Volume-Reducing Workspace Constraints. - Sihui Li; Matthew A. Schack; Aakriti Upadhyay; Neil T. Dantam (IROS, 2024)

Classifiers Guided Controllable Text Generation for Discrete Diffusion Language Models. - Hang Jiang; Guoyong Cai; Sihui Li (NLPCC (3), 2024)

Scaling Motion Planning Infeasibility Proofs. - Sihui Li; Neil T. Dantam (CoRR, 2024)

A novel autism spectrum disorder identification method: spectral graph network with brain-population graph structure joint learning. - Sihui Li; Duo Li; Rui Zhang 094; Feilong Cao (Int. J. Mach. Learn. Cybern., 2024)