I-mRMR: Incremental Max-Relevance, and Min-Redundancy Feature Selection. - Yeliang Xiu; Suyun Zhao; Hong Chen 001; Cuiping Li 001 (APWeb/WAIM (2), 2019)

Influence Maximization Based Active Learning in Noisy Setting. - Yeliang Xiu; Hui Ma (ADMA, 2020)

Deep Active Learning by Model Interpretability. - Qiang Liu 006; Zhaocheng Liu; Xiaofang Zhu; Yeliang Xiu; Jun Zhu 001 (CoRR, 2020)

Discernibility matrix based incremental feature selection on fused decision tables. - Ye Liu; Lidi Zheng; Yeliang Xiu; Hong Yin; Suyun Zhao; Xizhao Wang; Hong Chen 001; Cuiping Li 001 (Int. J. Approx. Reason., 2020)

LogicNMR: Probing the Non-monotonic Reasoning Ability of Pre-trained Language Models. - Yeliang Xiu; Zhanhao Xiao; Yongmei Liu 001 (EMNLP (Findings), 2022)

LTRAG: Enhancing Autoformalization and Self-refinement for Logical Reasoning with Thought-Guided RAG. - Ruikang Hu; Shaoyu Lin; Yeliang Xiu; Yongmei Liu 001 (ACL (Findings), 2025)