A practical network coding and routing scheme based on maximum flow combination. - Lianlong Wu; Kevin Curran (Int. J. Netw. Manag., 2012)

Evolutionary Machine Learning for RTS Game StarCraft. - Lianlong Wu; Andrew Markham (AAAI, 2017)

Data Science with Vadalog: Bridging Machine Learning and Reasoning. - Luigi Bellomarini; Ruslan R. Fayzrakhmanov; Georg Gottlob; Andrey Kravchenko; Eleonora Laurenza; Yavor Nenov; Stéphane Reissfelder; Emanuel Sallinger; Evgeny Sherkhonov; Lianlong Wu (MEDI, 2018)

Evolutionary Learning of Existential Rules. - Lianlong Wu (IJCAI, 2019)

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. - Yuhang Song 001; Jianyi Wang; Thomas Lukasiewicz; Zhenghua Xu 001; Mai Xu; Zihan Ding; Lianlong Wu (CoRR, 2019)

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. - Yuhang Song 001; Andrzej Wojcicki; Thomas Lukasiewicz; Jianyi Wang; Abi Aryan; Zhenghua Xu 001; Mai Xu; Zihan Ding; Lianlong Wu (AAAI, 2020)

An Evolutionary Algorithm for Rule Learning over Knowledge Graphs. - Lianlong Wu; Emanuel Sallinger; Evgeny Sherkhonov; Sahar Vahdati; Georg Gottlob (KR4L@ECAI, 2020)

Evolutionary rule learning in knowledge graphs with industry applications. - Lianlong Wu (2021)

Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports. - Zehua Cheng; Lianlong Wu; Thomas Lukasiewicz; Emanuel Sallinger; Georg Gottlob (EDBT/ICDT Workshops, 2022)

Rule Learning over Knowledge Graphs with Genetic Logic Programming. - Lianlong Wu; Emanuel Sallinger; Evgeny Sherkhonov; Sahar Vahdati; Georg Gottlob (ICDE, 2022)

Hybrid Learning System for Large-scale Medical Image Analysis. - Zehua Cheng; Lianlong Wu (IJCAI, 2022)

Data science with Vadalog: Knowledge Graphs with machine learning and reasoning in practice. - Luigi Bellomarini; Ruslan R. Fayzrakhmanov; Georg Gottlob; Andrey Kravchenko; Eleonora Laurenza; Yavor Nenov; Stéphane Reissfelder; Emanuel Sallinger; Evgeny Sherkhonov; Sahar Vahdati; Lianlong Wu (Future Gener. Comput. Syst., 2022)

Generation of Visual Representations for Multi-Modal Mathematical Knowledge. - Lianlong Wu; Seewon Choi; Daniel Raggi; Aaron Stockdill; Grecia Garcia Garcia; Fiorenzo Colarusso; Peter C.-H. Cheng; Mateja Jamnik (AAAI, 2024)

CauSkelNet: Causal Representation Learning for Human Behaviour Analysis. - Xingrui Gu; Chuyi Jiang; Erte Wang; Zekun Wu 003; Qiang Cui; Leimin Tian; Lianlong Wu; Siyang Song; Chuang Yu (CoRR, 2024)