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Mingjie Liu

2001–2026 年に発表

267
論文数
25,928
被引用数
68
h 指数
180
i10 指数

被引用数

Mingjie Liu の年別被引用数1988 年: 被引用 1 件2002 年: 被引用 3 件2003 年: 被引用 5 件2004 年: 被引用 7 件2005 年: 被引用 11 件2006 年: 被引用 9 件2007 年: 被引用 7 件2008 年: 被引用 9 件2009 年: 被引用 23 件2010 年: 被引用 26 件2011 年: 被引用 42 件2012 年: 被引用 77 件2013 年: 被引用 88 件2014 年: 被引用 140 件2015 年: 被引用 140 件2016 年: 被引用 147 件2017 年: 被引用 175 件2018 年: 被引用 302 件2019 年: 被引用 436 件2020 年: 被引用 668 件2021 年: 被引用 650 件2022 年: 被引用 595 件2023 年: 被引用 567 件2024 年: 被引用 950 件2025 年: 被引用 1,128 件2026 年: 被引用 571 件1989〜2001 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 2,665 件、この内訳の 38.7%アメリカ合衆国: 引用元論文 1,131 件、この内訳の 16.4%ドイツ: 引用元論文 236 件、この内訳の 3.4%オーストラリア: 引用元論文 211 件、この内訳の 3.1%イギリス: 引用元論文 207 件、この内訳の 3%韓国: 引用元論文 199 件、この内訳の 2.9%日本: 引用元論文 192 件、この内訳の 2.8%カナダ: 引用元論文 186 件、この内訳の 2.7%香港: 引用元論文 182 件、この内訳の 2.6%シンガポール: 引用元論文 160 件、この内訳の 2.3%インド: 引用元論文 148 件、この内訳の 2.1%フランス: 引用元論文 122 件、この内訳の 1.8%
0%38.7%その他 18.2%

機関

分野

  • Computer Science31.5%
  • Engineering25.4%
  • Materials Science11.8%
  • Biochemistry, Genetics and Molecular Biology9.8%
  • Energy7.3%
  • Medicine5.6%
  • その他8.6%

トピック

  • Advanced Sensor and Energy Harvesting Materials5.6%
  • Hydrogels: synthesis, properties, applications4.3%
  • Advanced Materials and Mechanics2.5%
  • Electrocatalysts for Energy Conversion2.1%
  • Surface Modification and Superhydrophobicity1.9%
  • Topic Modeling1.7%
  • その他81.9%

共著者

全論文

検索で開く
  1. ChipNeMo: Domain-Adapted LLMs for Chip Design

    著者: Mingjie Liu, Ene, Teodor-Dumitru, Robert Kirby, Chris Cheng, Nathaniel Pinckney, Rongjian Liang, Alben, Jonah, Himyanshu Anand, Sanmitra Banerjee, I. Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Clay, Sharon, Bill Dally, Dang, Laura, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Jindal, Ankit, Brucek Khailany, Kokai, George, Kishor Kunal, Xiaowei Li, Lind, Charley, Hao Liu, Stuart F. Oberman, Sujeet Omar, Pasandi, Ghasem, Sreedhar Pratty, Raiman, Jonathan, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Suthar, Pratik P, Tej, Varun, Turner, Walker, Kaizhe Xu, Haoxing Ren - arXiv (Cornell University), CoRR 2023 被引用: 195

  2. ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

    著者: Mingjie Liu, Shizhe Diao, Ximing Lu, Jian Hu, Xin Dong, Yejin Choi, Jan Kautz, Yi Dong - NeurIPS 2025 被引用: 180

  3. Invited Paper: VerilogEval: Evaluating Large Language Models for Verilog Code Generation

    著者: Mingjie Liu, Nathaniel Ross Pinckney, Brucek Khailany, Haoxing Ren - IEEE/ACM International Conference on Computer Aided Design (ICCAD) 2023 被引用: 159

  4. UAV-YOLO: Small Object Detection on Unmanned Aerial Vehicle Perspective

    著者: Mingjie Liu, Xianhao Wang, Anjian Zhou, Xiuyuan Fu, Yiwei Ma, Chang Hao Piao - Sensors 2020 被引用: 343

  5. GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

    著者: Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Peter Belcak, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov - ArXiv.org, CoRR 2026 被引用: 80

  6. Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library

    著者: Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo, Yancheng He, Ju Huang, Jiaheng Liu, Zhendong Li, Xiaoyang Li, Zichen Liu, Haizhou Zhao, Dakai An, Lunxi Cao, Qiyang Cao, Wanxi Deng, Feilei Du, Yiliang Gu, Jiahe Li, Xiang Li, Mingjie Liu, Yijia Luo, Zihe Liu, Yadao Wang, Pei Wang, Tianyuan Wu, Yanan Wu, Yuheng Zhao, Shuaibing Zhao, Jin Yang, Siran Yang, Yingshui Tan, Huimin Yi, Yuchi Xu, Yujin Yuan, Xingyao Zhang, Lin Qu, Wenbo Su, Wei Wang, Jiamang Wang, Bo Zheng - ArXiv.org, CoRR 2025 被引用: 77

  7. RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Model

    著者: Yunda Tsai, Mingjie Liu, Haoxing Ren - ACM/IEEE Design Automation Conference, DAC 2024 被引用: 77

  8. RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models

    著者: Yun-Da Tsai, Mingjie Liu, Haoxing Ren - arXiv (Cornell University), CoRR 2023 被引用: 74

  9. A timing engine inspired graph neural network model for pre-routing slack prediction

    著者: Zizheng Guo, Mingjie Liu, Jiaqi Gu, Shuhan Zhang, David Z. Pan, Yibo Lin - ACM/IEEE Design Automation Conference, DAC 2022 被引用: 115

  10. VerilogEval: Evaluating Large Language Models for Verilog Code Generation

    著者: Mingjie Liu, Nathaniel Ross Pinckney, Brucek Khailany, Haoxing Ren - arXiv (Cornell University), CoRR 2023 被引用: 59

  11. Revisiting VerilogEval: A Year of Improvements in Large-Language Models for Hardware Code Generation

    著者: Nathaniel Ross Pinckney, Christopher Batten, Mingjie Liu, Haoxing Ren, Brucek Khailany - ACM Transactions on Design Automation of Electronic Systems, ACM Trans. Design Autom. Electr. Syst. 2025 被引用: 45

  12. Tough, Antifreezing, and Piezoelectric Organohydrogel as a Flexible Wearable Sensor for Human–Machine Interaction

    著者: Yongdong Shi, Youjun Guan, Mingjie Liu, Xinchang Kang, Yu Tian, Weicheng Deng, Peng Yu, Chengyun Ning, Lei Zhou, Rumin Fu, Guoxin Tan - ACS Nano 2024 被引用: 203

  13. Anti‐freezing, Conductive Self‐healing Organohydrogels with Stable Strain‐Sensitivity at Subzero Temperatures

    著者: Qinfeng Rong, Wenwei Lei, Lie Chen, Yongai Yin, Jiajia Zhou, Mingjie Liu - Angewandte Chemie International Edition 2017 被引用: 716

  14. Deep CT to MR Synthesis Using Paired and Unpaired Data

    著者: Cheng-Bin Jin, Hakil Kim, Mingjie Liu, Wonmo Jung, Seongsu Joo, Eunsik Park, Young Saem Ahn, In Ho Han, Jae Il Lee, Xuenan Cui - Sensors 2019 被引用: 224

  15. CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair

    著者: Mingjie Liu, Yun-Da Tsai, Wenfei Zhou, Haoxing Ren - ICLR 2025 被引用: 63

  16. MAGICAL: An Open- Source Fully Automated Analog IC Layout System from Netlist to GDSII

    著者: Hao Chen, Mingjie Liu, Biying Xu, Keren Zhu, Xiyuan Tang, Shaolan Li, Yibo Lin, Nan Sun, David Z. Pan - IEEE Design and Test, IEEE Des. Test 2020 被引用: 68

  17. Bioinspired Nanocomposite Hydrogels with Highly Ordered Structures

    著者: Ziguang Zhao, Ruochen Fang, Qinfeng Rong, Mingjie Liu - Advanced Materials 2017 被引用: 362

  18. Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification

    著者: Nathaniel Ross Pinckney, Chenhui Deng, Chia-Tung Ho, Yun-Da Tsai, Mingjie Liu, Wenfei Zhou, Brucek Khailany, Haoxing Ren - ArXiv.org, CoRR 2025 被引用: 35

  19. ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration

    著者: Hongjin Su, Shizhe Diao, Ximing Lu, Mingjie Liu, Jiacheng Xu, Dong Xin, Yonggan Fu, Peter Belcak, Hanrong Ye, Hongxu Yin, Yi Dong, Evelina Bakhturina, Tao Yu, Yejin Choi, Jan Kautz, Pavlo Molchanov - ArXiv.org, CoRR 2025 被引用: 29

  20. Thermoresponsive actuation enabled by permittivity switching in an electrostatically anisotropic hydrogel

    著者: Youn Soo Kim, Mingjie Liu, Yasuhiro Ishida, Yasuo Ebina, Minoru Osada, Takayoshi Sasaki, Takaaki Hikima, Masaki Takata, Takuzo Aida - Nature Materials 2015 被引用: 647

  21. Conductive Hydrogels as Smart Materials for Flexible Electronic Devices

    著者: Qinfeng Rong, Wenwei Lei, Mingjie Liu - Chemistry - A European Journal 2018 被引用: 331

  22. MAGICAL: Toward Fully Automated Analog IC Layout Leveraging Human and Machine Intelligence: Invited Paper

    著者: Biying Xu, Keren Zhu, Mingjie Liu, Yibo Lin, Shaolan Li, Xiyuan Tang, Nan Sun, David Z. Pan - IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2019 被引用: 79

  23. DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning

    著者: Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov - ArXiv.org, CoRR 2025 被引用: 27

  24. Exploring Logic Optimizations with Reinforcement Learning and Graph Convolutional Network

    著者: Keren Zhu, Mingjie Liu, Hao Chen, Zheng Zhao, David Z. Pan - ACM/IEEE Workshop on Machine Learning for CAD, MLCAD 2020 被引用: 76