Low-Resolution Face Recognition in the Wild with Mixed-Domain Distillation. - Shengwei Zhao; Xindi Gao; Shikun Li; Shiming Ge (BigMM, 2019)

VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results. - Dawei Du; Yue Zhang 011; Liefeng Bo; Hailin Shi; Rui Zhu 005; Bo Han 003; Chunhui Zhang; Guizhong Liu; Han Wu; Hao Wen; Haoran Wang 008; Pengfei Zhu 001; et al. (ICCV Workshops, 2019)

The Seventh Visual Object Tracking VOT2019 Challenge Results. - Matej Kristan; Amanda Berg; Linyu Zheng; Litu Rout; Luc Van Gool; Luca Bertinetto; Martin Danelljan; Matteo Dunnhofer; Meng Ni; Min Young Kim 003; Ming Tang 001; Ming-Hsuan Yang 001; et al. (ICCV Workshops, 2019)

Coupled-View Deep Classifier Learning from Multiple Noisy Annotators. - Shikun Li; Shiming Ge; Yingying Hua; Chunhui Zhang; Hao Wen; Tengfei Liu; Weiqiang Wang (AAAI, 2020)

Super Edge 4-Points Congruent Sets-Based Point Cloud Global Registration. - Shikun Li; Ruodan Lu; Jianya Liu; Liang Guo (Remote. Sens., 2021)

Cascaded Correlation Refinement for Robust Deep Tracking. - Shiming Ge; Chunhui Zhang; Shikun Li; Dan Zeng 001; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2021)

Selective-Supervised Contrastive Learning with Noisy Labels. - Shikun Li; Xiaobo Xia; Shiming Ge; Tongliang Liu (CVPR, 2022)

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning. - Shikun Li; Xiaobo Xia; Hansong Zhang 003; Yibing Zhan; Shiming Ge; Tongliang Liu (NeurIPS, 2022)

VPRNet: Virtual Points Registration Network for Partial-to-Partial Point Cloud Registration. - Shikun Li; Yang Ye; Jianya Liu; Liang Guo (Remote. Sens., 2022)

Student Network Learning via Evolutionary Knowledge Distillation. - Kangkai Zhang; Chunhui Zhang; Shikun Li; Dan Zeng 001; Shiming Ge (IEEE Trans. Circuits Syst. Video Technol., 2022)

Model Conversion via Differentially Private Data-Free Distillation. - Bochao Liu; Pengju Wang; Shikun Li; Dan Zeng 001; Shiming Ge (IJCAI, 2023)

Federated Learning with Label-Masking Distillation. - Jianghu Lu; Shikun Li; Kexin Bao; Pengju Wang; Zhenxing Qian; Shiming Ge (ACM Multimedia, 2023)

Multi-View Stereo Network With Gaussian Distribution Iteration. - Xiaohan Zhang; Shikun Li (IEEE Access, 2023)

Multi-Label Noise Transition Matrix Estimation with Label Correlations: Theory and Algorithm. - Shikun Li; Xiaobo Xia; Hansong Zhang 003; Shiming Ge; Tongliang Liu (CoRR, 2023)

Trustable Co-Label Learning From Multiple Noisy Annotators. - Shikun Li; Tongliang Liu; Jiyong Tan; Dan Zeng 001; Shiming Ge (IEEE Trans. Multim., 2023)

Coupled Confusion Correction: Learning from Crowds with Sparse Annotations. - Hansong Zhang 003; Shikun Li; Dan Zeng 001; Chenggang Yan 001; Shiming Ge (AAAI, 2024)

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. - Hansong Zhang 003; Shikun Li; Pengju Wang; Dan Zeng 001; Shiming Ge (AAAI, 2024)

Learning Natural Consistency Representation for Face Forgery Video Detection. - Daichi Zhang; Zihao Xiao 002; Shikun Li; Fanzhao Lin; Jianmin Li; Shiming Ge (ECCV (83), 2024)

Real-Time Estimation for the Swimming Direction of Robotic Fish Based on IMU Sensors. - Shikun Li; Yufan Zhai; Chen Wang; Guangming Xie (ICRA, 2024)

DANCE: Dual-View Distribution Alignment for Dataset Condensation. - Hansong Zhang 003; Shikun Li; Fanzhao Lin; Weiping Wang 005; Zhenxing Qian; Shiming Ge (IJCAI, 2024)

Multimodal Composition Example Mining for Composed Query Image Retrieval. - Gangjian Zhang; Shikun Li; Shikui Wei; Shiming Ge; Na Cai; Yao Zhao 001 (IEEE Trans. Image Process., 2024)

Three-dimensional truss path planning of cellular robots based on improved sparrow algorithm. - Ye Dai; Shikun Li; Xinda Chen; Xinlei Nie; Xukun Rui; Qihao Zhang (Robotica, 2024)

Research on Reconfiguration Strategies for Self-reconfiguring Modular Robots: A Review. - Ye Dai; Shilong He; Xinlei Nie; Xukun Rui; Shikun Li; Sai He (J. Intell. Robotic Syst., 2024)

Transferring Annotator- and Instance-Dependent Transition Matrix for Learning From Crowds. - Shikun Li; Xiaobo Xia; Jiankang Deng; Shiming Ge; Tongliang Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Improving the Lifelong Planning A-star algorithm to satisfy path planning for space truss cellular robots with dynamic obstacles. - Ye Dai; Weijian Lv; Shikun Li; Muyan Zong (Robotica, 2025)

LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment. - Shikun Li; Shipeng Li; Zhiqin Yang; Xinghua Zhang 001; Gaode Chen; Xiaobo Xia; Hengyu Liu; Zhe Peng (CoRR, 2025)

TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation. - Jiale Zhou 001; Wenhan Wang; Shikun Li; Xiaolei Qu; Xin Guo; Yizhong Liu; Wenzhong Tang; Xun Lin; Yefeng Zheng 001 (CoRR, 2025)