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Haifeng Chen

1995–2026 年に発表

別表記
Haifeng, Chen
526
論文数
26,493
被引用数
78
h 指数
317
i10 指数

被引用数

Haifeng Chen の年別被引用数1963 年: 被引用 1 件1965 年: 被引用 1 件1975 年: 被引用 1 件1997 年: 被引用 1 件2000 年: 被引用 1 件2001 年: 被引用 2 件2002 年: 被引用 5 件2003 年: 被引用 14 件2004 年: 被引用 22 件2005 年: 被引用 42 件2006 年: 被引用 73 件2007 年: 被引用 89 件2008 年: 被引用 99 件2009 年: 被引用 126 件2010 年: 被引用 112 件2011 年: 被引用 84 件2012 年: 被引用 92 件2013 年: 被引用 155 件2014 年: 被引用 120 件2015 年: 被引用 185 件2016 年: 被引用 151 件2017 年: 被引用 194 件2018 年: 被引用 288 件2019 年: 被引用 705 件2020 年: 被引用 1,071 件2021 年: 被引用 1,487 件2022 年: 被引用 1,374 件2023 年: 被引用 1,410 件2024 年: 被引用 1,857 件2025 年: 被引用 1,575 件2026 年: 被引用 465 件1964 年は被引用が無いため表示していません1966〜1974 年は被引用が無いため表示していません1976〜1996 年は被引用が無いため表示していません1998〜1999 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 4,526 件、この内訳の 33.1%アメリカ合衆国: 引用元論文 2,599 件、この内訳の 19%イギリス: 引用元論文 514 件、この内訳の 3.7%ドイツ: 引用元論文 479 件、この内訳の 3.5%オーストラリア: 引用元論文 463 件、この内訳の 3.4%カナダ: 引用元論文 382 件、この内訳の 2.8%インド: 引用元論文 350 件、この内訳の 2.6%韓国: 引用元論文 314 件、この内訳の 2.3%フランス: 引用元論文 305 件、この内訳の 2.2%日本: 引用元論文 298 件、この内訳の 2.2%香港: 引用元論文 253 件、この内訳の 1.8%イタリア: 引用元論文 234 件、この内訳の 1.7%
0%33.1%その他 21.7%

機関

分野

  • Computer Science44.4%
  • Biochemistry, Genetics and Molecular Biology14.2%
  • Medicine13.3%
  • Engineering10.5%
  • Decision Sciences3.4%
  • Materials Science1.8%
  • その他12.4%

トピック

  • Anomaly Detection Techniques and Applications4.8%
  • Network Security and Intrusion Detection3.4%
  • Time Series Analysis and Forecasting2.9%
  • Advanced Graph Neural Networks2.8%
  • Topic Modeling2.3%
  • Stock Market Forecasting Methods1.6%
  • その他82.2%

共著者

全論文

検索で開く
  1. A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

    著者: Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell - Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017 被引用: 1,395

  2. Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

    著者: Bo Zong, Song Qi, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Dae-Ki Cho, Haifeng Chen - 2018 被引用: 1,091

  3. Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

    著者: Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao - ACM Computing Surveys, ACM Comput. Surv. 2025 被引用: 157

  4. Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

    著者: Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong, Qingsong Wen - ACM Computing Surveys 2026 被引用: 121

  5. You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis

    著者: Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen - Proceedings 2020 Network and Distributed System Security Symposium, NDSS 2020 被引用: 213

  6. SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

    著者: Peng Xia, Jianwen Chen, Hanyang Wang, Jiaqi Liu, Kaide Zeng, Yu Wang, Siwei Han, Yiyang Zhou, Xujiang Zhao, Haifeng Chen, Zeyu Zheng, Cihang Xie, Huaxiu Yao - arXiv (Cornell University), CoRR 2026 被引用: 98

  7. NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks

    著者: Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang - SIGKDD International Conference on Knowledge Discovery & Data Mining 2018 被引用: 345

  8. Parameterized Explainer for Graph Neural Network

    著者: Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang - NeurIPS 2020 被引用: 830

  9. The histone mark H3K36me2 recruits DNMT3A and shapes the intergenic DNA methylation landscape

    著者: Daniel N. Weinberg, Simon Papillon‐Cavanagh, Haifeng Chen, Yuan Yue, Xiao Chen, Kartik Rajagopalan, Cynthia Horth, John T. McGuire, Xinjing Xu, Hamid Nikbakht, Agata E. Lemiesz, Dylan M. Marchione, Matthew R. Marunde, Matthew J. Meiners, Marcus A. Cheek, Michael‐Christopher Keogh, Eric Bareke, Anissa Djedid, Ashot S. Harutyunyan, Nada Jabado, Benjamin A. García, Haitao Li, C. David Allis, Jacek Majewski, Chao Lü - Nature 2019 被引用: 563

  10. Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization

    著者: Xianjun Yang, Yan Li, Xinlu Zhang, Haifeng Chen, Wei Cheng - arXiv (Cornell University), CoRR 2023 被引用: 123

  11. DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text

    著者: Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang, Haifeng Chen - ICLR 2024 被引用: 196

  12. Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection

    著者: Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen - International Conference on Multimedia, ACM Multimedia 2021 被引用: 93

  13. Mesenchymal stromal exosome–functionalized scaffolds induce innate and adaptive immunomodulatory responses toward tissue repair

    著者: Ni Su, Yaoyao Hao, Fang Wang, Wenda Hou, Haifeng Chen, Ying Luo - Science Advances 2021 被引用: 154

  14. Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition

    著者: Haifeng Chen, Dongmei Jiang, Hichem Sahli - IEEE Transactions on Multimedia, IEEE Trans. Multim. 2020 被引用: 132

  15. A Survey on Detection of LLMs-Generated Content

    著者: Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng - Findings of the Association for Computational Linguistics: EMNLP 2024, EMNLP (Findings) 2024 被引用: 45

  16. H3K27M induces defective chromatin spread of PRC2-mediated repressive H3K27me2/me3 and is essential for glioma tumorigenesis

    著者: Ashot S. Harutyunyan, Brian Krug, Haifeng Chen, Simon Papillon‐Cavanagh, Michele Zeinieh, Nicolas Jay, Shriya Deshmukh, Carol Chen, Jad I. Belle, Leonie G. Mikael, Dylan M. Marchione, Rui Li, Hamid Nikbakht, Bo Hu, Gaël Cagnone, Warren Cheung, Abdulshakour Mohammadnia, Denise Béchet, Damien Faury, Melissa K. McConechy, Manav Pathania, Siddhant U. Jain, Benjamin Ellezam, Alexander G. Weil, Alexandre Montpetit, Paolo Salomoni, Tomi Pastinen, Chao Lü, Peter W. Lewis, Benjamin A. García, Claudia L. Kleinman, Nada Jabado, Jacek Majewski - Nature Communications 2019 被引用: 392

  17. MixLLM: Dynamic Routing in Mixed Large Language Models

    著者: Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen - Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL (Long Papers) 2025 被引用: 38

  18. Structurally and Functionally Optimized Silk‐Fibroin–Gelatin Scaffold Using 3D Printing to Repair Cartilage Injury In Vitro and In Vivo

    著者: Weili Shi, Muyang Sun, Xiaoqing Hu, Bo Ren, Jin Cheng, Chenxi Li, Xiaoning Duan, Xin Fu, Jiying Zhang, Haifeng Chen, Yingfang Ao - Advanced Materials 2017 被引用: 482

  19. Multi-Modal and Multi-Scale Fusion 3D Object Detection of 4D Radar and LiDAR for Autonomous Driving

    著者: Li Wang, Xinyu Zhang, Jun Li, Baowei Xv, Rong Fu, Haifeng Chen, Lei Yang, Dafeng Jin, Lijun Zhao - IEEE Transactions on Vehicular Technology, IEEE Trans. Veh. Technol. 2022 被引用: 71

  20. Interpretable Click-Through Rate Prediction through Hierarchical Attention

    著者: Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang - Conference on Web Search and Data Mining, WSDM 2020 被引用: 121

  21. A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

    著者: Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla - AAAI Conference on Artificial Intelligence 2019 被引用: 805

  22. TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop

    著者: Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen - NeurIPS 2025 被引用: 31

  23. Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models

    著者: Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) 2024 被引用: 26

  24. Advances in Porous Scaffold Design for Bone and Cartilage Tissue Engineering and Regeneration

    著者: Alice Cheng, Zvi Schwartz, Adrian Kahn, Xiyu Li, Zhenxing Shao, Muyang Sun, Yingfang Ao, Barbara D. Boyan, Haifeng Chen - Tissue Engineering Part B Reviews 2018 被引用: 265