Junfan Chen

According to our database, Junfan Chen authored at least 40 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Including Co-Relation via Concatenate Operator for Static and Temporal Knowledge Graph Embedding.

Likang Xiao, Richong Zhang, Junfan Chen, Lei Zhang

ACM Trans. Inf. Syst., September, 2025

A multi-projection recurrent model for hypernym detection and discovery.

Xuefeng Zhang, Junfan Chen, Zheyan Luo, Yuhang Bai, Chunming Hu, Richong Zhang

Frontiers Comput. Sci., April, 2025

A Graph-based Verification Framework for Fact-Checking.

Yani Huang, Richong Zhang, Zhijie Nie, Junfan Chen, Xuefeng Zhang

CoRR, March, 2025

Preserving Label Correlation for Multi-label Text Classification by Prototypical Regularizations.

Fanshuang Kong, Richong Zhang, Xiaohui Guo, Junfan Chen, Ziqiao Wang

Proceedings of the ACM on Web Conference 2025, 2025

Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models.

Xiyang Liu, Chunming Hu, Richong Zhang, Junfan Chen, Baowen Xu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing.

Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Richong Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding.

Dongdong Kuang, Richong Zhang, Zhijie Nie, Junfan Chen, Jaein Kim

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities.

Junchi Chen, Richong Zhang, Junfan Chen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification.

Junfan Chen, Richong Zhang, Xiaohan Jiang, Chunming Hu

ACM Trans. Inf. Syst., September, 2024

Zero-Shot Cross-Lingual Named Entity Recognition via Progressive Multi-Teacher Distillation.

Zhuoran Li, Chunming Hu, Richong Zhang, Junfan Chen, Xiaohui Guo

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Author Name Disambiguation via Paper Association Refinement and Compositional Contrastive Embedding.

Dezhi Liu, Richong Zhang, Junfan Chen, Xinyue Chen

Proceedings of the ACM on Web Conference 2024, 2024

DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification.

Junfan Chen, Richong Zhang, Yaowei Zheng, Qianben Chen, Chunming Hu, Yongyi Mao

Proceedings of the ACM on Web Conference 2024, 2024

Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification.

Junfan Chen, Richong Zhang, Jiarui Wang, Chunming Hu, Yongyi Mao

Proceedings of the ACM on Web Conference 2024, 2024

Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching.

Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo, Richong Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Attentional Neural Integral Equation for Temporal Knowledge Graph Forecasting.

Likang Xiao, Zijie Chen, Richong Zhang, Junfan Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Progressively Modality Freezing for Multi-Modal Entity Alignment.

Yani Huang, Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization.

Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

A Neural Expectation-Maximization Framework for Noisy Multi-Label Text Classification.

Junfan Chen, Richong Zhang, Jie Xu, Chunming Hu, Yongyi Mao

IEEE Trans. Knowl. Data Eng., November, 2023

Semi-Supervised Entity Alignment With Global Alignment and Local Information Aggregation.

Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao

IEEE Trans. Knowl. Data Eng., October, 2023

AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime.

Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao

CoRR, 2023

Word Sense Disambiguation by Refining Target Word Embedding.

Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao

Proceedings of the ACM Web Conference 2023, 2023

Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion.

Likang Xiao, Richong Zhang, Zijie Chen, Junfan Chen

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Open-Set Semi-Supervised Text Classification with Latent Outlier Softening.

Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification.

Weiyi Yang, Richong Zhang, Junfan Chen, Lihong Wang, Jaein Kim

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multi-Mask Label Mapping for Prompt-Based Learning.

Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime.

Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Text Style Transferring via Adversarial Masking and Styled Filling.

Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning.

Jirui Qi, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Hierarchical N-Gram Framework for Zero-Shot Link Prediction.

Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models.

Ling Ge, Chunming Hu, Guanghui Ma, Junshuang Wu, Junfan Chen, Jihong Liu, Hong Zhang, Wenyi Qin, Richong Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Towards Robust False Information Detection on Social Networks with Contrastive Learning.

Guanghui Ma, Chunming Hu, Ling Ge, Junfan Chen, Hong Zhang, Richong Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition.

Zhuoran Li, Chunming Hu, Xiaohui Guo, Junfan Chen, Wenyi Qin, Richong Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification.

Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Augmenting Embedding Projection With Entity Descriptions for Knowledge Graph Completion.

Junfan Chen, Jie Xu, Manhui Bo, Hongwu Tang

IEEE Access, 2021

Hypernym Discovery via a Recurrent Mapping Model.

Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen, Yongyi Mao

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

On Scalar Embedding of Relative Positions in Attention Models.

Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Parallel Interactive Networks for Multi-Domain Dialogue State Generation.

Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Neural Dialogue State Tracking with Temporally Expressive Networks.

Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework.

Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Conditional VAE-Based Conversation Model.

Junfan Chen, Richong Zhang, Yongyi Mao, Binfeng Wang, Jianhang Qiao

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019