Comparing different approaches for model parameters identification in short time. - Linghan Li; Bastian Kanning; Christian Schenck; Bernd Kuhfuss (ISSPIT, 2011)

Enhanced AllJoyn Network with Centralized Management. - Linghan Li; Yonghua Li; Jiaru Lin; Tianle Zhang (ISCTCS, 2014)

Beyond Horror and Fear: Exploring Player Experience Invoked by Emotional Challenge in VR Games. - Xiaolan Peng; Jin Huang 009; Linghan Li; Chen Gao; Hui Chen 020; Feng Tian 001; Hongan Wang (CHI Extended Abstracts, 2019)

A Scale Balanced Loss for Bounding Box Regression. - Degang Sun; Yang Yang 087; Min Li; Jian Yang 009; Bo Meng; Ruwen Bai; Linghan Li; Junxing Ren (IEEE Access, 2020)

Big data audit based on financial sharing service model. - Linghan Li; Yan Feng; Lei Li (J. Intell. Fuzzy Syst., 2020)

Slow and Steady Feature Analysis Based Status Monitoring for Gas-liquid Two-phase Flow in Horizontal Pipe. - Linghan Li; Shumei Zhang; Feng Dong 001 (I2MTC, 2021)

A Motion-based Seq-bbox Matching Method for Video Object Detection. - Min Li; Linghan Li; Ruwen Bai; Junxing Ren; Bo Meng; Yang Yang 087 (ISCC, 2021)

Complete Video-Level Representations for Action Recognition. - Min Li; Ruwen Bai; Bo Meng; Junxing Ren; Miao Jiang; Yang Yang 087; Linghan Li; Hong Du (IEEE Access, 2021)

Flow State Characterization of Horizontal Oil-gas-water Three-phase flow Using Independent Slow and Steady Feature Analysis. - Linghan Li; Shumei Zhang; Feng Dong 001 (I2MTC, 2022)

CoA-DLinkNet: Connectivity-Enhanced Dual-Branch Road Extraction Network Based on D-LinkNet. - Linghan Li; Heliu Chen; Renjie He; Yuchao Dai; Mingyi He (APSIPA ASC, 2023)

Deep Canonical Variate Analysis with Interpretable Attribute Guidance for Three-Phase Flow Process Monitoring. - Linghan Li; Shumei Zhang; Feng Dong 001; Feng Dong 006 (I2MTC, 2024)

HEAMWalk: Heterogeneous Network Embedding Based on Attribute Combined Multi-view Random Walks. - Xiangtao Chen; Shurui Fang; Ying Wang; Linghan Li; Xinguo Lu (ICIC (13), 2024)

Manifold regularized deep canonical variate analysis with interpretable attribute guidance for three-phase flow process monitoring. - Linghan Li; Feng Dong 001; Shumei Zhang (Expert Syst. Appl., 2024)

Zero-Shot State Identification of Industrial Gas-Liquid Two-Phase Flow via Supervised Deep Slow and Steady Feature Analysis. - Linghan Li; Xinyi Han; Feng Dong 001; Shumei Zhang (IEEE Trans. Ind. Informatics, 2024)

Zero-shot Learning Model with Dynamic and Static Feature Fusion for Industrial Gas-liquid Two-phase Flow State Identification. - Xinyi Han; Linghan Li; Shumei Zhang; Feng Dong 001; Feng Dong 006 (I2MTC, 2025)

Attribute Causality-Guided State Monitoring Model for Oil-gas-water Three-phase Flow Processes. - Xinyi Wang; Linghan Li; Feng Dong 001; Feng Dong 006 (I2MTC, 2025)

Interpretable local-global monitoring network for three-phase flow processes with concurrent analysis of independence and high-order temporal correlation. - Linghan Li; Shumei Zhang; Feng Dong (Neurocomputing, 2025)