Knowledge-Aware and Retrieval-Based Models for Distantly Supervised Relation Extraction. - Xuemiao Zhang; Kejun Deng; Leilei Zhang; Zhouxing Tan; Junfei Liu (PRICAI (1), 2019)

Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension. - Xuemiao Zhang; Kun Zhou 002; Sirui Wang; Fuzheng Zhang; Zhongyuan Wang 006; Junfei Liu (COLING, 2020)

Adaptively Multi-Objective Adversarial Training for Dialogue Generation. - Xuemiao Zhang; Zhouxing Tan; Xiaoning Zhang; Yang Cao; Rui Yan 001 (IJCAI, 2020)

Knowledge-embodied attention for distantly supervised relation extraction. - Kejun Deng; Xuemiao Zhang; Songtao Ye; Junfei Liu (Intell. Data Anal., 2020)

Adaptive Semi-Supervised Learning from Stronger Augmented Transformations of Medical Texts. - Xuemiao Zhang; Junfei Liu (BIBM, 2023)

Adversarial Training with Comprehensive Objective for Medical Image Report Generation. - Xuemiao Zhang; Junfei Liu (BIBM, 2023)

Adaptively Multi-Objective Adversarial Training for Medical Image Report Generation. - Xuemiao Zhang; Junfei Liu (BIBM, 2023)

Adaptive semi-supervised learning from stronger augmentation transformations of discrete text information. - Xuemiao Zhang; Zhouxing Tan; Fengyu Lu; Rui Yan 001; Junfei Liu (Knowl. Inf. Syst., 2024)

Enhancing LLMs via High-Knowledge Data Selection. - Feiyu Duan; Xuemiao Zhang; Sirui Wang; Haoran Que; Yuqi Liu; Wenge Rong; Xunliang Cai (AAAI, 2025)

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy. - Xuemiao Zhang; Feiyu Duan; Liangyu Xu; Yongwei Zhou; Sirui Wang; Rongxiang Weng; Jingang Wang; Xunliang Cai (ACL (Findings), 2025)

Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data. - Xuemiao Zhang; Liangyu Xu; Feiyu Duan; Yongwei Zhou; Sirui Wang; Rongxiang Weng; Jingang Wang; Xunliang Cai (ACL (Findings), 2025)

Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data. - Xuemiao Zhang; Liangyu Xu; Feiyu Duan; Yongwei Zhou; Sirui Wang; Jingang Wang; Xunliang Cai (CoRR, 2025)

FIRE: Flexible Integration of Data Quality Ratings for Effective Pre-Training. - Liangyu Xu; Xuemiao Zhang; Feiyu Duan; Sirui Wang; Jingang Wang; Xunliang Cai (CoRR, 2025)