陈俊帆 - 北京航空航天大学

个人简介

软件学院博士后，2022年毕业于北京航空航天大学计算机学院，获工学博士学位，大数据科学与脑机智能高精尖创新中心成员。长期从事自然语言处理和知识图谱方面的研究工作，包括知识图谱补全、信息抽取、少样本/零样本文本分类、对话意图识别、对话状态跟踪等。参与国家自然科学基金面上/青年项目2项。在人工智能和自然语言处理国际顶级会议 ACL、AAAI、EMNLP、COLING、CIKM等发表多篇论文，多次担任AAAI、ACL、EMNLP、COLING等顶级会议PC Member或审稿人。

研究领域

长期从事自然语言处理和知识图谱方面的研究工作，包括知识图谱补全、信息抽取、少样本/零样本文本分类、对话意图识别、对话状态跟踪等

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao: Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. AAAI 2023: 12626-12634 Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao: Multi-Mask Label Mapping for Prompt-Based Learning. AAAI 2023: 13465-13473 Likang Xiao, Richong Zhang, Zijie Chen, Junfan Chen: Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion. ACL (Findings) 2023: 7286-7300 Weiyi Yang, Richong Zhang, Junfan Chen, Lihong Wang, Jaein Kim: Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification. ACL (1) 2023: 16369-16382 Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao: Open-Set Semi-Supervised Text Classification with Latent Outlier Softening. KDD 2023: 226-236 Likang Xiao, Richong Zhang, Zijie Chen, Junfan Chen: Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion. RepL4NLP@ACL 2023: 253-265 Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao: Word Sense Disambiguation by Refining Target Word Embedding. WWW 2023: 1405-1414 Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu: ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. CoRR abs/2305.09269 (2023) Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao: AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime. CoRR abs/2305.09287 (2023) Junyan Yan, Jibiao Chen, Junfan Chen, Wanquan Yan, Qingpeng Ding, Kim Yan, Jingxin Du, Chun Ping Lam, George Kwok Chu Wong, Shing Shin Cheng: A Continuum Robotic Cannula With Tip Following Capability and Distal Dexterity for Intracerebral Hemorrhage Evacuation. IEEE Trans. Biomed. Eng. 69(9): 2958-2969 (2022) Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu: ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. AAAI 2022: 10492-10500 Zhuoran Li, Chunming Hu, Xiaohui Guo, Junfan Chen, Wenyi Qin, Richong Zhang: An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition. ACL (1) 2022: 170-179 Guanghui Ma, Chunming Hu, Ling Ge, Junfan Chen, Hong Zhang, Richong Zhang: Towards Robust False Information Detection on Social Networks with Contrastive Learning. CIKM 2022: 1441-1450 Ling Ge, Chunming Hu, Guanghui Ma, Junshuang Wu, Junfan Chen, Jihong Liu, Hong Zhang, Wenyi Qin, Richong Zhang: E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models. COLING 2022: 1036-1050 Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye: A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. EMNLP (Findings) 2022: 2498-2509 Jirui Qi, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao: Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning. EMNLP (Findings) 2022: 3952-3962 Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao: Text Style Transferring via Adversarial Masking and Styled Filling. EMNLP 2022: 7654-7663 Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye: A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. CoRR abs/2204.10293 (2022) Junfan Chen, Jie Xu, Manhui Bo, Hongwu Tang: Augmenting Embedding Projection With Entity Descriptions for Knowledge Graph Completion. IEEE Access 9: 159955-159964 (2021) Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen: On Scalar Embedding of Relative Positions in Attention Models. AAAI 2021: 14050-14057 Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen, Yongyi Mao: Hypernym Discovery via a Recurrent Mapping Model. ACL/IJCNLP (Findings) 2021: 2912-2921 Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu: Neural Dialogue State Tracking with Temporally Expressive Networks. EMNLP (Findings) 2020: 1570-1579 Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu: Parallel Interactive Networks for Multi-Domain Dialogue State Generation. EMNLP (1) 2020: 1921-1931 Junfan Chen, Ning Sun, Zhongxie Jin: Two-Dimensional Spatial Resolution in Plane Temperature Monitoring Based on Raman Distributed Temperature Sensor. MLIS 2020: 302-309 Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu: Neural Dialogue State Tracking with Temporally Expressive Networks. CoRR abs/2009.07615 (2020) Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu: Parallel Interactive Networks for Multi-Domain Dialogue State Generation. CoRR abs/2009.07616 (2020) Junfan Chen, Richong Zhang, Yongyi Mao, Binfeng Wang, Jianhang Qiao: A Conditional VAE-Based Conversation Model. CCKS 2019: 165-174 Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu: Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. EMNLP/IJCNLP (1) 2019: 326-336 Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu: Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. CoRR abs/1909.05448 (2019)