Junfan Chen

According to our database, Junfan Chen authored at least 28 papers between 2019 and 2024.

Collaborative distances:

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

2024

Custom Network Quantization Method for Lightweight CNN Acceleration on FPGAs.

Lingjie Yi, Xianzhong Xie, Yi Wan, Bo Jiang, Junfan Chen

Int. J. Distributed Sens. Networks, January, 2024

A Double Self-Supervised Model for Pitting Detection on Ball Screws.

Xiaoming Wang, Yongxiong Wang, Zhiqun Pan, Guangpeng Wang, Junfan Chen

IEEE Access, 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

SADD: Generative Adversarial Networks via Self-attention and Dual Discriminator in Unsupervised Domain Adaptation.

Zaiyan Dai, Jun Yang, Anfei Fan, Jinyin Jia, Junfan Chen

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 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

A Continuum Robotic Cannula With Tip Following Capability and Distal Dexterity for Intracerebral Hemorrhage Evacuation.

Junyan Yan, Jibiao Chen, Junfan Chen, Wanquan Yan, Qingpeng Ding, Kim Yan, Jingxin Du, Chun Ping Lam, George Kwok Chu Wong, Shing Shin Cheng

IEEE Trans. Biomed. Eng., 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

Two-Dimensional Spatial Resolution in Plane Temperature Monitoring Based on Raman Distributed Temperature Sensor.

Junfan Chen, Ning Sun, Zhongxie Jin

Proceedings of the Machine Learning and Artificial Intelligence, 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