刘杜钢

副研究员

学习&工作经历：

2012.09-2016.06 福建师范大学，信息与计算科学，本科

2016.09-2019.06 厦门大学，计算机技术，硕士

2019.09-2022.12 深圳大学，计算机科学与技术，博士

邮箱：liudugang@gml.ac.cn; dugang.ldg@gmail.com
主页：dgliu.github.io

研究领域：推荐系统，因果推断，在线营销，人工智能

发表论文论著：

Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang, Zhong Ming. Pairwise intent graph embedding learning for context-aware recommendation. Proceedings of the 17th ACM Conference on Recommender Systems (RecSys), 2023.

Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He. Explicit feature interaction-aware uplift network for online marketing. Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2023.

Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He. DIWIFT: Discovering instance-wise influential features for tabular data. In Proceedings of the ACM Web Conference 2023 (WWW). 2023.

Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming. User-event graph embedding learning for context-aware recommendation. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD). 2022, 1051–1059.

Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming. A general knowledge distillation framework for counterfactual recommendation via uniform data. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). 2020, 831–840.

Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming. Augmenting legal judgment prediction with contrastive case relations. In Proceedings of the 29th International Conference on Computational Linguistics (COLING). 2022, 2658--2667.

Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming. Self-sampling training and evaluation for the accuracy-bias tradeoff in recommendation. In Proceedings of the 28th International Conference on Database Systems for Advanced Applications (DASFAA). 2023.

Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming. Mitigating confounding bias in recommendation via information bottleneck. In Proceedings of the 15th ACM Conference on Recommender Systems (RecSys). 2021, 351–360.

Dugang Liu, Chen Lin, Zhilin Zhang, Yanghua Xiao and Hanghang Tong. Spiral of silence in recommender systems. In Proceedings of the 12th ACM International Conference on Web Search and Data Mining (WSDM), 2019, 222-230.

Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming. Bounding system-induced biases in recommender systems with a randomized dataset. ACM Transactions on Information Systems (TOIS). 2023. doi:10.1145/3582002.

Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming. KDCRec: Knowledge distillation for counterfactual recommendation via uniform data. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2022. doi:10.1109/TKDE.2022.3199585.

Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming. Debiased representation learning in recommendation via information bottleneck. ACM Transactions on Recommender Systems (ACM TORS). 2022. doi:10.1145/3568030.

申请专利：

刘杜钢; 潘微科; 明仲. 用于法律判决的编码器训练方法、判决预测方法和设备