Forecasting Question Answering over Temporal Knowledge Graphs. - Zifeng Ding; Ruoxia Qi; Zongyue Li; Bailan He; Jingpei Wu; Yunpu Ma; Zhao Meng; Zhen Han 003; Volker Tresp (CoRR, 2022)

Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning. - Zifeng Ding; Jingpei Wu; Zongyue Li; Yunpu Ma; Volker Tresp (ECML/PKDD (3), 2023)

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs. - Zifeng Ding; Zongyue Li; Ruoxia Qi; Jingpei Wu; Bailan He; Yunpu Ma; Zhao Meng; Shuo Chen 014; Ruotong Liao; Zhen Han 003; Volker Tresp (ISWC, 2023)

Autoregressive Policy Optimization for Constrained Allocation Tasks. - David Winkel; Niklas Strauß; Maximilian Bernhard; Zongyue Li; Thomas Seidl 001; Matthias Schubert (NeurIPS, 2024)

Cluster-Based Effective Generation of AI-Driven Literature Surveys. - Zongyue Li; Xiaofei Lu; Jing Chen; Haishan Wang; Xu Wang; Qinghui Shi; Dejun Xue; Yanhong Bi; Zixuan Huang (NLPCC (5), 2024)