主要负责和参与的科研项目包括：
主持国家自然科学基金优秀青年科学基金项目、国家重点研发、北京市自然基金面上项目、省重点研发等科研项目课题20余项。 近五年在IEEE TPAMI、TKDE、TPDS、TC、ACM TOIS、JMLR、WWW、NeurIPS、AAAI、IJCAI等国际旗舰学术期刊或会议发表论文100余篇，授权发明专利近30件，第一作者论文获ESI热点论文1篇（ACM TOIS 2021）、高被引论文6篇（IEEE TKDE 2019、2021，TITS 2019、Information Science 2020、2021，IEEE TPAMI 2022），国际旗舰学术会议Best Paper Runner Up奖1篇（ACM CIKM 2022），国际旗舰学术会议最佳论文提名4篇（ICDM 2021、CIKM 2022），谷歌学术引用超过5800余次。
部分国际会议论文：
[1] Hao Peng, Jianxin Li, Philip S. Yu, etc. Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. IJCAI2019.（CCF A） [2] Hao Peng, Jianixn Li, Qiang Yang, etc. Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN. WWW2018. （CCF A） [3] Hao Peng, Jianxin Li, Yangqiu Song, etc. Incrementally learning the hierarchical softmax function for neural language models. AAAI2017.（CCF A） [4] Hao Peng, Jianxin Li, Lifang He, etc. Motif-matching based Subgraph-level Attentional Convolutional Network for Graph Classification. AAAI2020.（CCF A） [5] Dongcheng Zou, Hao Peng*, Xiang Huang, etc. SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. WWW2023. (CCF A)
部分国际期刊论文：
[1] Hao Peng, Ruitong Zhang, Shaoning Li, etc. Reinforced, incremental and cross-lingual event detection from social messages. IEEE TPAMI, 2022. (CCF A) [2] Hao Peng, Jianxin Li, Philip S. Yu, etc. Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. IEEE TKDE 2020. (CCF A) [3] Hao Peng, Ruitong Zhang, etc. Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks. ACM Transactions on Information Systems, 2021. (CCF A) [4] Hao Peng, Jianxin Li, Philip S. Yu, etc. Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks. IEEE TC, 2021. (CCF A) [5] Jiaqian Ren, Hao Peng*, Philip S. Yu, etc. Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection. IEEE TKDE 2023. (CCF A) |
