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个人信息Personal Information
教授
博士生导师
硕士生导师
教师英文名称：Wenhua Chen
教师拼音名称：chenwenhua
办公地点：10-205, Rohm Building, Tsinghua Univ.
性别：男
联系方式：chenwh@tsinghua.edu.cn
学位：博士学位
- X. Li et al., "A High-Efficiency 142-182-GHz SiGe BiCMOS Power Amplifier With Broadband Slotline-Based Power Combining Technique," in IEEE Journal of Solid-State Circuits，2021.
- G. Lv, W. Chen, X. Chen, S. Wan, F. M. Ghannouchi and Z. Feng, "A Fully Integrated 3.5-/4.9-GHz Dual-Band GaN MMIC Doherty Power Amplifier Based on Multi-Resonant Circuits," in IEEE Transactions on Microwave Theory and Techniques, 2021.
- X. Li et al., "A 250-310 GHz Power Amplifier with 15-dB Peak Gain in 130-nm SiGe BiCMOS Process for Terahertz Wireless System," in IEEE Transactions on Terahertz Science and Technology, 2021.
- Y. Wang, W. Chen, X. Li, S. Li and P. Zhou, "305-325 GHz Non-Reciprocal Isolator Based on Peak-Control Gain-boosting Magnetless Non-reciprocal Metamaterials," 2021 IEEE Radio Frequency Integrated Circuits Symposium (RFIC).
- X. Liu, W. Chen, J. Chu, F. M. Ghannouchi and Z. Feng, "Multi-Stream Spatial Digital Predistortion for Fully-Connected Hybrid Beamforming Massive MIMO Transmitters," in IEEE Transactions on Circuits and Systems I: Regular Papers, 2021.
- G. Lv, W. Chen, X. Chen, F. M. Ghannouchi and Z. Feng, "A Fully Integrated 47.6% Fractional Bandwidth GaN MMIC Distributed Efficient Power Amplifier With Modified Input Matching and Power Splitting Network," in IEEE Transactions on Microwave Theory and Techniques, 2021.
- [17] Li L., Zhang H,, Wang J. , Huang X.(*), Zhong Q. , Wu X.(*). (2021). Forecasting Significant Wave Height based on Transformer. CLIVAR Exchanges (Special Issue: Advances in Climate Prediction Using Artificial Intelligence ). No.81, Nov. 2021
- [18] Shi, P., Lu, H., Leung, L.R., He, Y., Wang, B., Yang, K., Yu, L., Liu, L., Huang, W., Xu, S. , Liu, J., Huang, X., Li, L. and Lin, Y.(2021). Significant land contributions to interannual predictability of East Asian summer monsoon rainfall. Earth's Future, 9(2), p.e2020EF001762.
- [19] Dou, X., Liao, C., Wang, H., Huang, Y., Tu, Y., Huang, X., Peng, Y., Zhu, B., Tan, J., Deng, Z. and Wu, N.(2021). Estimates of daily ground-level NO2 concentrations in China based on Random Forest model integrated K-means. Advances in Applied Energy, 2, p.100017.
- [20] Xiao, Q., Geng, G., Cheng, J., Liang, F., Li, R., Meng, X., Xue, T., Huang, X., Kan, H., Zhang, Q. and He, K.(2021). Evaluation of gap-filling approaches in satellite-based daily PM2. 5 prediction models. Atmospheric Environment, 244, p.117921.