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ORCIDQianren Mao
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2020 – today
- 2025
[c14]Qianren Mao, Weifeng Jiang, Junnan Liu, Chenghua Lin, Qian Li, Xianqing Wen, Jianxin Li, Jinhu Lu:
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence. NAACL (Findings) 2025: 5571-5585- [i12]Zhijun Chen, Jingzheng Li, Pengpeng Chen, Zhuoran Li, Kai Sun, Yuankai Luo, Qianren Mao, Dingqi Yang, Hailong Sun, Philip S. Yu:
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble. CoRR abs/2502.18036 (2025) - [i11]Qianren Mao, Qili Zhang, Hanwen Hao, Zhentao Han, Runhua Xu, Weifeng Jiang, Qi Hu, Zhijun Chen, Tyler Zhou, Bo Li, Yangqiu Song, Jin Dong, Jianxin Li, Philip S. Yu:
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation. CoRR abs/2504.19101 (2025) - 2024
- [c13]Junnan Liu, Qianren Mao, Weifeng Jiang, Jianxin Li:
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning. ICML 2024 - [i10]Qi Hu, Weifeng Jiang, Haoran Li, Zihao Wang, Jiaxin Bai, Qianren Mao, Yangqiu Song, Lixin Fan, Jianxin Li:
FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning. CoRR abs/2402.14609 (2024) - [i9]Qian Li
, Cheng Ji, Shu Guo, Yong Zhao, Qianren Mao, Shangguang Wang, Yuntao Wei, Jianxin Li:
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction. CoRR abs/2404.12006 (2024) - [i8]Junnan Liu, Qianren Mao, Weifeng Jiang, Jianxin Li:
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning. CoRR abs/2409.12865 (2024) - [i7]Qianren Mao, Weifeng Jiang, Junnan Liu, Chenghua Lin, Qian Li, Xianqing Wen, Jianxin Li, Jinhu Lu:
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence. CoRR abs/2412.00883 (2024) - [i6]Qianren Mao, Yangyifei Luo, Jinlong Zhang, Hanwen Hao, Zhilong Cao, Xiaolong Wang, Xiao Guan, Zhenting Huang, Weifeng Jiang, Shuyu Guo, Zhentao Han, Qili Zhang, Siyuan Tao, Yujie Liu, Junnan Liu, Zhixing Tan, Jie Sun, Bo Li, Xudong Liu, Richong Zhang, Jianxin Li:
XRAG: eXamining the Core - Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation. CoRR abs/2412.15529 (2024) - 2023
- [c12]Junnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang:
POINE2: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs. ECAI 2023: 1521-1528 - [c11]Weifeng Jiang, Qianren Mao, Chenghua Lin, Jianxin Li, Ting Deng, Weiyi Yang, Zheng Wang:
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. EMNLP 2023: 4015-4030 - [c10]Junnan Liu, Qianren Mao, Chenghua Lin, Yangqiu Song, Jianxin Li:
LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs. EMNLP (Findings) 2023: 4578-4586 - [c9]Qianren Mao, Shaobo Zhao, Jiarui Li, Xiaolei Gu, Shizhu He, Bo Li, Jianxin Li:
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders. EMNLP (Findings) 2023: 4929-4941 - [c8]Zhijun Chen, Hailong Sun, Wanhao Zhang, Chunyi Xu, Qianren Mao, Pengpeng Chen:
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler. KDD 2023: 274-285 - [i5]Weifeng Jiang, Qianren Mao, Jianxin Li, Chenghua Lin, Weiyi Yang, Ting Deng, Zheng Wang:
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. CoRR abs/2305.12074 (2023) - [i4]Zhijun Chen, Hailong Sun, Wanhao Zhang, Chunyi Xu, Qianren Mao, Pengpeng Chen:
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler. CoRR abs/2309.05086 (2023) - [i3]Qianren Mao, Shaobo Zhao, Jiarui Li, Xiaolei Gu, Shizhu He, Bo Li, Jianxin Li:
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders. CoRR abs/2310.18992 (2023) - 2022
- [j4]Qianren Mao, Xi Li, Bang Liu, Shu Guo, Peng Hao, Jianxin Li, Lihong Wang:
Attend and select: A segment selective transformer for microblog hashtag generation. Knowl. Based Syst. 254: 109581 (2022) - [j3]Qianren Mao, Jianxin Li, Chenghua Lin, Congwen Chen, Hao Peng, Lihong Wang, Philip S. Yu:
Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks. IEEE ACM Trans. Audio Speech Lang. Process. 30: 622-634 (2022) - [j2]Qianren Mao, Jianxin Li, Hao Peng, Shizhu He, Lihong Wang, Philip S. Yu, Zheng Wang:
Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1665-1678 (2022) - [c7]Yiming Wang, Qianren Mao, Junnan Liu, Weifeng Jiang, Hongdong Zhu, Jianxin Li:
Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization. COLING 2022: 6447-6456 - [c6]Qianren Mao, Jianxin Li, JiaZheng Wang, Xi Li, Peng Hao, Lihong Wang, Zheng Wang:
Explicitly Modeling Importance and Coherence for Timeline Summarization. ICASSP 2022: 8062-8066 - [c5]Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang:
HiGIL: Hierarchical Graph Inference Learning for Fact Checking. ICDM 2022: 329-337 - [c4]Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang:
MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. SIGIR 2022: 2617-2622 - 2021
- [j1]Qianren Mao, Xi Li, Hao Peng, Jianxin Li, Dongxiao He, Shu Guo, Min He, Lihong Wang:
Event prediction based on evolutionary event ontology knowledge. Future Gener. Comput. Syst. 115: 76-89 (2021) - [c3]Lihong Wang, Juwei Yue, Shu Guo, Jiawei Sheng, Qianren Mao, Zhenyu Chen, Shenghai Zhong, Chen Li:
Multi-level Connection Enhanced Representation Learning for Script Event Prediction. WWW 2021: 3524-3533 - [i2]Xi Li, Qianren Mao, Hao Peng, Hongdong Zhu, Jianxin Li, Zheng Wang:
Automated Timeline Length Selection for Flexible Timeline Summarization. CoRR abs/2105.14201 (2021) - [i1]Qianren Mao, Xi Li, Hao Peng, Bang Liu, Shu Guo, Jianxin Li, Lihong Wang, Philip S. Yu:
Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation. CoRR abs/2106.03151 (2021)
2010 – 2019
- 2019
- [c2]Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang:
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. IJCAI 2019: 5139-5145 - 2018
- [c1]Jun Li, Peiyuan Sun, Qianren Mao, Jianxin Li:
Path-Graph Fusion Based Community Detection over Heterogeneous Information Network. HPCC/SmartCity/DSS 2018: 274-281
Coauthor Index
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