Representation Learning for Knowledge Graph with Dynamic Step. - Yongfang Li; Liang Chang 003; Guanjun Rao; Phatpicha Yochum; Yiqin Luo; Tianlong Gu (ICPCSEE (1), 2018)

Representation Learning for Knowledge Graph with Dynamic Margin. - Yiqin Luo; Liang Chang 003; Guanjun Rao; Wei Chen 105; Tianlong Gu (ISCID (2), 2018)

Collaboration interaction prediction in crowdsourcing via temporal network. - Yiqin Luo; Tongda Zhang; Xiao Sun 012; Minyu Chen (ICCSE, 2021)

Considering Fine-Grained and Coarse-Grained Information for Context-Aware Recommendations. - Yiqin Luo; Yanpeng Sun; Liang Chang 003; Tianlong Gu; Chenzhong Bin; Long Li 005 (Comput. J., 2022)

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis. - Yiqin Luo; Tianlong Gu (BIBM, 2024)

BFFN: A novel balanced feature fusion network for fair facial expression recognition. - Hao Li; Yiqin Luo; Tianlong Gu; Liang Chang 003 (Eng. Appl. Artif. Intell., 2024)

BID-Net: Balanced Incremental Distillation Network for Fair Dermatological Disease Diagnosis. - Yiqin Luo; Tianlong Gu; Fengrui Hao; Liang Chang 003 (ICASSP, 2025)

Mitigating Expression Class Bias with Class-Incremental Learning in Facial Expression Recognition. - Yiqin Luo; Yinghui Li; Tianlong Gu; Liang Chang 003 (ICMR, 2025)

AMGSN: Adaptive mask-guide supervised network for debiased facial expression recognition. - Tianlong Gu; Hao Li; Xuan Feng; Yiqin Luo (Pattern Recognit., 2026)