Shiwen Ni (倪仕文)
I am now an Assistant Professor/Postdoc in Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences. I received my Ph.D. degree from Department of Computer Science and Information Engineering, National Cheng Kung University. I was selected as an honorary member of the Phi Tau Phi Scholastic Honor Society in 2023. I received the Institute of Information & Computing Machinery (IICM) Ph.D.Dissertation Award -Outstanding in 2023.
My research interest includes (but is not limited to) Deep Learning、Natural Language Processing、Large Language Model and AI for Science.
For a full list of publications and citation counts, visit my Google Scholar page.
You can contact me via email: sw.ni@siat.ac.cn.
Work
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Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Assistant Professor/Postdoc, 2023.02~Present
Education
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National Cheng Kung University, Computer Science and Information Engineering, Doctor of Engineering, Tainan, 2019.09~2022.12
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Wuhan University, Mechanical Engineering, Master of Engineering, Wuhan, 2017.09~2019.06
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Henan Agricultural University, Mechanical Design Manufacturing and Automation, bachelor of Engineering, Zhengzhou, 2013.09~2017.06
Service
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(Technical) program committee of EMNLP 2023, ECML-PKDD 2023 2024, AACIP 2023, AFccT 2023, AICS 2022 2023 2024, CNIOT 2022 2023.
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Reviewer of Information Processing and Management, CAAI Transactions on Intelligence Technolog, Social Network Analysis and Mining, Multimedia Systems, International Journal of Machine Learning and Cybernetics, Journal of Web Engineering, ACL ARR 2023 2024, COLING 2024, NeurIPS 2023 2024, EMNLP 2023, ICASSP 2023 2024, IJCAI 2022 2023, KDD 2022, AAMAS 2022, CIKM 2022, PAKDD 2022, ICTAI 2021, etc.
Publication
2020 ~ now
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Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang*, Bowen Zhang*, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu, Ye Li, Jianping Fan. MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property, LREC-COLING 2024.
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Shiwen Ni, Min Yang*, Ruifeng Xu, Chengming Li, Xiping Hu. Layer-wise Regularized Dropout for Neural Language Models, LREC-COLING 2024.
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Shiwen Ni, Jiawen Li, Min Yang, Hung-Yu Kao*. DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding, IEEE/ACM Transactions on Audio, Speech and Language Processing, 2023.
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Shiwen Ni, Hung-Yu Kao*. KPT++: Refined Knowledgeable Prompt Tuning for Few-shot Text Classification, Knowledge-Based Systems, 2023.
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Shiwen Ni, Hung-Yu Kao*. Masked Siamese Prompt Tuning for Few-Shot Natural Language Understanding. IEEE Transactions on Artificial Intelligence, 2023.
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Jiawen Li, Ronghui Li, Shiwen Ni, Hung-Yu Kao*. EPRD: Exploiting prior knowledge for evidence-providing automatic rumor detection, Neurocomputing, 2023.
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Shiwen Ni, Jiawen Li, Hung-Yu Kao*. R-AT: Regularized Adversarial Training for Natural Language Understanding, EMNLP 2022.
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Shiwen Ni, Jiawen Li, Hung-Yu Kao*. True or False: Does the Deep Learning Model Learn to Detect Rumors? TAAI 2021.
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Jiawen Li, Shiwen Ni, Hung-Yu Kao*. Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection, ACL-IJCNLP 2021.
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Shiwen Ni, Jiawen Li, Hung-Yu Kao*. MVAN: Multi-View Attention Networks for Fake News Detection on Social Media, IEEE ACCESS, 2021.
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Shiwen Ni, Hung-Yu Kao*. PSForest: Improving Deep Forest via Feature Pooling and Error Screening, ACML 2020.