Qianren Mao

Orcid: 0000-0003-0780-0628

According to our database1, Qianren Mao authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning.
CoRR, 2024

2023
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

POINE<sup>2</sup>: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Attend and select: A segment selective transformer for microblog hashtag generation.
Knowl. Based Syst., 2022

MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

HiGIL: Hierarchical Graph Inference Learning for Fact Checking.
Proceedings of the IEEE International Conference on Data Mining, 2022

Explicitly Modeling Importance and Coherence for Timeline Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2022

Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Event prediction based on evolutionary event ontology knowledge.
Future Gener. Comput. Syst., 2021

Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation.
CoRR, 2021

Automated Timeline Length Selection for Flexible Timeline Summarization.
CoRR, 2021

Multi-level Connection Enhanced Representation Learning for Script Event Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2019
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Path-Graph Fusion Based Community Detection over Heterogeneous Information Network.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018


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