Generic Attention-model Explainability by Weighted Relevance Accumulation. - Yiming Huang 002; Aozhe Jia; Xiaodan Zhang 003; Jiawei Zhang 002 (MMAsia, 2023)

STFM: Enhancing Autism Spectrum Disorder Classification Through Ensemble Learning-Based Fusion of Temporal and Spatial fMRI Patterns. - Ziyu Zhou; Yiming Huang 002; Yining Wang; Yin Liang (PRICAI (3), 2023)

CoC-GAN: Employing Context Cluster for Unveiling a New Pathway in Image Generation. - Zihao Wang; Yiming Huang 002; Ziyu Zhou (CoRR, 2023)

SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting. - Ziyu Zhou; Gengyu Lyu; Yiming Huang 002; Zihao Wang; Ziyu Jia; Zhen Yang 004 (IJCAI, 2024)

MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds. - Zihao Wang; Yiming Huang 002; Gengyu Lyu; Yucheng Zhao; Ziyu Zhou; Bochen Xie; Zhen Yang 004; Yongjian Deng (AAAI, 2025)

RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection. - Yiming Huang 002; Junyan Zhang; Zihao Wang; Biquan Bie; Xuming Hu; Yi R. (May) Fung; Xinlei He 001 (CoRR, 2025)

An Empirical Study of the Anchoring Effect in LLMs: Existence, Mechanism, and Potential Mitigations. - Yiming Huang 002; Biquan Bie; Zuqiu Na; Weilin Ruan; Songxin Lei; Yutao Yue; Xinlei He 001 (CoRR, 2025)

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? - Junyan Zhang; Yiming Huang 002; Shuliang Liu; Yubo Gao; Xuming Hu (CoRR, 2025)