Application of Spatial Reasoning in Predicting Rainfall Situation for Two Disjoint Areas. - Jian Li; Yanbo Huang; Rujing Yao; Yuanyuan Zhang (CCTA (2), 2015)

Method and Dataset Mining in Scientific Papers. - Rujing Yao; Linlin Hou; Yingchun Ye; Ji Zhang 001; Jian Wu (IEEE BigData, 2019)

Method and Dataset Mining in Scientific Papers. - Rujing Yao; Linlin Hou; Yingchun Ye; Ou Wu; Ji Zhang 001; Jian Wu (CoRR, 2019)

Deep Human Answer Understanding for Natural Reverse QA. - Rujing Yao; Linlin Hou; Lei Yang; Jie Gui; Qing Yin; Ou Wu (CoRR, 2019)

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention. - Linlin Hou; Ji Zhang 001; Ou Wu; Ting Yu 004; Zhen Wang 037; Zhao Li 007; Jianliang Gao; Yingchun Ye; Rujing Yao (CoRR, 2020)

AI Marker-based Large-scale AI Literature Mining. - Rujing Yao; Yingchun Ye; Ji Zhang 001; Shuxiao Li; Ou Wu (CoRR, 2020)

Compensation Learning. - Rujing Yao; Mengyang Li; Ou Wu (CoRR, 2021)

Mitigating sentimental bias via a polar attention mechanism. - Tao Yang 033; Rujing Yao; Qing Yin; Qiang Tian; Ou Wu (Int. J. Data Sci. Anal., 2021)

Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention. - Linlin Hou; Ji Zhang 001; Ou Wu; Ting Yu 004; Zhen Wang 037; Zhao Li 007; Jianliang Gao; Yingchun Ye; Rujing Yao (Knowl. Based Syst., 2022)

Deep human answer understanding for natural reverse QA. - Rujing Yao; Linlin Hou; Lei Yang; Jie Gui; Ou Wu (Knowl. Based Syst., 2022)

Exploring developments of the AI field from the perspective of methods, datasets, and metrics. - Rujing Yao; Yingchun Ye; Ji Zhang 001; Shuxiao Li; Ou Wu (Inf. Process. Manag., 2023)

Improved PageRank and New Indices for Academic Impact Evaluation Using AI Papers as Case Studies. - Rui Wang; Shijie Li; Qing Yin; Ji Zhang; Rujing Yao; Ou Wu (J. Inf. Sci., 2024)

A Taxonomy for Learning with Perturbation and Algorithms. - Rujing Yao; Ou Wu (ACM Trans. Knowl. Discov. Data, 2024)

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning. - Rujing Yao; Yang Wu; Chenghao Wang; Jingwei Xiong; Fang Wang; Xiaozhong Liu (NAACL (Long Papers), 2025)

Intelligent Legal Assistant: An Interactive Clarification System for Legal Question Answering. - Rujing Yao; Yiquan Wu 001; Tong Zhang 005; Xuhui Zhang; Yuting Huang 001; Yang Wu; Jiayin Yang; Changlong Sun; Fang Wang 014; Xiaozhong Liu (WWW (Companion Volume), 2025)

Data Optimization in Deep Learning: A Survey. - Ou Wu; Rujing Yao (IEEE Trans. Knowl. Data Eng., 2025)

Rethinking learning difficulty and uncertainty of samples with a target perturbation-aware bias-variance decomposition. - Rujing Yao; Ou Wu; Fang Wang (Int. J. Mach. Learn. Cybern., 2025)