Path-Graph Fusion Based Community Detection over Heterogeneous Information Network. - Jun Li; Peiyuan Sun; Qianren Mao; Jianxin Li 002 (HPCC/SmartCity/DSS, 2018)

Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. - Qianren Mao; Jianxin Li 002; Senzhang Wang; Yuanning Zhang; Hao Peng 001; Min He; Lihong Wang (IJCAI, 2019)

Multi-level Connection Enhanced Representation Learning for Script Event Prediction. - Lihong Wang; Juwei Yue; Shu Guo; Jiawei Sheng; Qianren Mao; Zhenyu Chen; Shenghai Zhong; Chen Li 046 (WWW, 2021)

Automated Timeline Length Selection for Flexible Timeline Summarization. - Xi Li 001; Qianren Mao; Hao Peng 001; Hongdong Zhu; Jianxin Li 002; Zheng Wang 001 (CoRR, 2021)

Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation. - Qianren Mao; Xi Li 001; Hao Peng 001; Bang Liu; Shu Guo; Jianxin Li 002; Lihong Wang; Philip S. Yu (CoRR, 2021)

Event prediction based on evolutionary event ontology knowledge. - Qianren Mao; Xi Li 001; Hao Peng 001; Jianxin Li 002; Dongxiao He; Shu Guo; Min He; Lihong Wang (Future Gener. Comput. Syst., 2021)

Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization. - Yiming Wang 011; Qianren Mao; Junnan Liu; Weifeng Jiang; Hongdong Zhu; Jianxin Li 002 (COLING, 2022)

Explicitly Modeling Importance and Coherence for Timeline Summarization. - Qianren Mao; Jianxin Li 002; JiaZheng Wang; Xi Li 001; Peng Hao; Lihong Wang; Zheng Wang 001 (ICASSP, 2022)

HiGIL: Hierarchical Graph Inference Learning for Fact Checking. - Qianren Mao; Yiming Wang 010; Chenghong Yang; Linfeng Du; Hao Peng 001; Jia Wu 001; Jianxin Li 002; Zheng Wang 001 (ICDM, 2022)

MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. - Qianren Mao; Hongdong Zhu; Junnan Liu; Cheng Ji 001; Hao Peng 001; Jianxin Li 002; Lihong Wang; Zheng Wang 001 (SIGIR, 2022)

Attend and select: A segment selective transformer for microblog hashtag generation. - Qianren Mao; Xi Li 001; Bang Liu; Shu Guo; Peng Hao; Jianxin Li 002; Lihong Wang (Knowl. Based Syst., 2022)

Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks. - Qianren Mao; Jianxin Li 002; Chenghua Lin; Congwen Chen; Hao Peng 001; Lihong Wang; Philip S. Yu (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge. - Qianren Mao; Jianxin Li 002; Hao Peng 001; Shizhu He; Lihong Wang; Philip S. Yu; Zheng Wang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

POINE2: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs. - Junnan Liu; Qianren Mao; Jianxin Li 002; Xingcheng Fu; Zheng Wang 001 (ECAI, 2023)

DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. - Weifeng Jiang; Qianren Mao; Chenghua Lin; Jianxin Li 002; Ting Deng; Weiyi Yang; Zheng Wang 001 (EMNLP, 2023)

LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs. - Junnan Liu; Qianren Mao; Chenghua Lin; Yangqiu Song; Jianxin Li 002 (EMNLP (Findings), 2023)

Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders. - Qianren Mao; Shaobo Zhao; Jiarui Li; Xiaolei Gu; Shizhu He; Bo Li 005; Jianxin Li 002 (EMNLP (Findings), 2023)

Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler. - Zhijun Chen; Hailong Sun 001; Wanhao Zhang; Chunyi Xu; Qianren Mao; Pengpeng Chen (KDD, 2023)

KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning. - Junnan Liu; Qianren Mao; Weifeng Jiang; Jianxin Li 002 (ICML, 2024)

FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning. - Qi Hu; Weifeng Jiang; Haoran Li 003; Zihao Wang 001; Jiaxin Bai; Qianren Mao; Yangqiu Song; Lixin Fan; Jianxin Li 002 (CoRR, 2024)

Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction. - Qian Li 033; Cheng Ji 001; Shu Guo; Yong Zhao; Qianren Mao; Shangguang Wang; Yuntao Wei; Jianxin Li 002 (CoRR, 2024)

XRAG: eXamining the Core - Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation. - Qianren Mao; Yangyifei Luo; Jinlong Zhang; Hanwen Hao; Zhilong Cao; Xiaolong Wang; Xiao Guan; Zhenting Huang; Weifeng Jiang; Shuyu Guo; Zhentao Han; Qili Zhang; et al. (CoRR, 2024)

Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence. - Qianren Mao; Weifeng Jiang; Junnan Liu; Chenghua Lin; Qian Li 033; Xianqing Wen; Jianxin Li 002; Jinhu Lu (NAACL (Findings), 2025)

Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs. - Qi Hu; Weifeng Jiang; Haoran Li 003; Zihao Wang 001; Jiaxin Bai; Qianren Mao; Yangqiu Song; Lixin Fan; Jianxin Li 002 (Trans. Mach. Learn. Res., 2025)

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble. - Zhijun Chen; Jingzheng Li; Pengpeng Chen; Zhuoran Li; Kai Sun; Yuankai Luo; Qianren Mao; Dingqi Yang; Hailong Sun 001; Philip S. Yu (CoRR, 2025)

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation. - Qianren Mao; Qili Zhang; Hanwen Hao; Zhentao Han; Runhua Xu; Weifeng Jiang; Qi Hu; Zhijun Chen; Tyler Zhou; Bo Li 005; Yangqiu Song; Jin Dong; et al. (CoRR, 2025)