On the Profit Manipulations of Chinese Listed Companies. - Shuangjie Li; Xingxing Chen (NL-MUA, 2011)

XLore: A Large-scale English-Chinese Bilingual Knowledge Graph. - Zhigang Wang; Juanzi Li; Zhichun Wang; Shuangjie Li; Mingyang Li; Dongsheng Zhang; Yao Shi; Yongbin Liu; Peng Zhang 077; Jie Tang 001 (ISWC (Posters & Demos), 2013)

Cross-Lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis. - Zhigang Wang; Juanzi Li; Shuangjie Li; Mingyang Li; Jie Tang 001; Kuo Zhang 001; Kun Zhang (AAAI, 2014)

Providing an effective group-buying aggregation service: a data-driven approach. - Ming Ren; Qiang Wei 001; Shuangjie Li; Guoqing Chen (J. Enterp. Inf. Manag., 2014)

A financial early warning logit model and its efficiency verification approach. - Shuangjie Li; Shao Wang (Knowl. Based Syst., 2014)

Boosting to Build a Large-Scale Cross-Lingual Ontology. - Zhigang Wang; Liangming Pan; Juanzi Li; Shuangjie Li; Mingyang Li; Jie Tang 001 (CCKS, 2016)

Feature selection based on feature curve of subclass problem. - Lei Liu; Bing Zhang; Shidong Wang; Shuangjie Li; Kaixiang Zhang; Shuqin Wang (IJCNN, 2019)

DuIE: A Large-Scale Chinese Dataset for Information Extraction. - Shuangjie Li; Wei He; Yabing Shi; Wenbin Jiang 002; Haijin Liang; Ye Jiang; Yang Zhang; Yajuan Lyu; Yong Zhu 004 (NLPCC (2), 2019)

Feature Selection for High Dimensional Data Using Weighted K-Nearest Neighbors and Genetic Algorithm. - Shuangjie Li; Kaixiang Zhang; Qianru Chen; Shuqin Wang; Shaoqiang Zhang (IEEE Access, 2020)

Online streaming feature selection based on neighborhood rough set. - Shuangjie Li; Kaixiang Zhang; Yali Li; Shuqin Wang; Shaoqiang Zhang (Appl. Soft Comput., 2021)

Seeking Similarities While Removing Differences: Graph Neural Networks Based on Node Correlation. - Shuangjie Li; Baoming Zhang; Jianqing Song; Yifan Xia; Junyuan Xie; Chongjun Wang (ICASSP, 2024)

Similarity-Navigated Conformal Prediction for Graph Neural Networks. - Jianqing Song; Jianguo Huang; Wenyu Jiang; Baoming Zhang; Shuangjie Li; Chongjun Wang (NeurIPS, 2024)

Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise. - Shuangjie Li; Baoming Zhang; Jianqing Song; Gaoli Ruan; Chongjun Wang; Junyuan Xie (CoRR, 2024)

GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck. - Shuangjie Li; Jiangqing Song; Baoming Zhang; Gaoli Ruan; Junyuan Xie; Chongjun Wang (CoRR, 2024)

A Slacks-Based Measure Model for Computing Game Cross-Efficiency. - Tingyang Huang; Shuangjie Li; Fang Liu; Hongyu Diao (Syst., 2024)

The Relationship Between Production Efficiency and Factor Allocation Efficiency: A Case Study Based on Thermal Power in China. - Tingyang Huang; Xiongfei Zhao; Shuangjie Li; Fang Liu (Syst., 2024)

Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification. - Baoming Zhang; Mingcai Chen; Jianqing Song; Shuangjie Li; Jie Zhang; Chongjun Wang (AAAI, 2025)

Graph Neural Networks with Coarse- and Fine-Grained Division for mitigating label noise and sparsity. - Shuangjie Li; Baoming Zhang; Jianqing Song; Gaoli Ruan; Chongjun Wang; Junyuan Xie (Neural Networks, 2025)