| 2024 | ACL | DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference. | Jialong Wu, Linhai Zhang, Deyu Zhou, Guoqiang Xu |
| 2024 | ACL | STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models. | Linhai Zhang, Jialong Wu, Deyu Zhou, Guoqiang Xu |
| 2024 | PAKDD | MDAN: Multi-distribution Adaptive Networks for LTV Prediction. | Wenshuang Liu, Guoqiang Xu, Bada Ye, Xinji Luo, Yancheng He, Cunxiang Yin |
| 2024 | SIGIR | Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation. | Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma |
| 2024 | SIGIR | TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision. | Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang |
| 2023 | ICANN | UIT: Unifying Pre-training Objectives for Image-Text Understanding. | Guoqiang Xu, Shenggang Yan |
| 2022 | PAKDD | Causal Enhanced Uplift Model. | Xiaofeng He, Guoqiang Xu, Cunxiang Yin, Zhongyu Wei, Yuncong Li, Yancheng He, Jing Cai |
| 2022 | PAKDD | Learning Discriminative Representation Base on Attention for Uplift. | Guoqiang Xu, Cunxiang Yin, Yuchen Zhang, Yuncong Li, Yancheng He, Jing Cai, Zhongyu Wei |
| 2022 | RecSys | Modeling User Repeat Consumption Behavior for Online Novel Recommendation. | Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong |
| 2021 | AAAI | Curriculum-Meta Learning for Order-Robust Continual Relation Extraction. | Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu |
| 2015 | IJCNN | Solving the data imbalance problem of P300 detection via Random Under-Sampling Bagging SVMs. | Xiaofeng Shi, Guoqiang Xu, Furao Shen, Jinxi Zhao |
| 2013 | IJCNN | The effect of methods addressing the class imbalance problem on P300 detection. | Guoqiang Xu, Furao Shen, Jinxi Zhao |