Selected Publications
- [1] 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.
- [2] 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.
- [3] 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.
- [4] 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).
- [5] 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.
- [6] 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.
- [7] D. Wang, W. Chen, X. Liu, X. Li, F. M. Ghannouchi and Z. Feng, "A 24–44 GHz Broadband Transmit–Receive Front End in 0.13-μm SiGe BiCMOS for Multistandard 5G Applications," in IEEE Transactions on Microwave Theory and Techniques, July 2021.
- [8] Peiru Yang, Hongjun Wang, Yingzhuo Huang, Shuai Yang, Ya Zhang, Liang Huang, Yuesong Zhang, Guoxin Wang, Shizhong Yang, Liang He, Yongfeng Huang, LMKG: A Large-Scale and Multi-Source Medical Knowledge Graph for Intelligent Medicine Applications, Knowledge-Based Systems, Volume 284, 2024.
- [9] Zhihua Fang, Liang He, Lin Li and Ying Hu, Improving Speaker Verification With Noise-Aware Label Ensembling and Sample Selection: Learning and Correcting Noisy Speaker Labels, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32, pp. 2988-3001, 2024, doi: 10.1109/TASLP.2024.3407527.
- [10] Kunting Li, Yong Hu, Liang He&, Fandong Meng, and Jie Zhou. C-LLM: Learn to Check Chinese Spelling Errors Character by Character. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 5944–5957 (EMNLP 2024, main long paper), Miami, Florida, USA. Association for Computational Linguistics.
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