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Fei Li - IEEE Xplore Author Profile
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Fei Li

Publications
89
Citations
397
Publications by Year
19982025
Co-Authors:
Show All Co-Authors (206)
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Fei Li

Affiliation

Key Laboratory of Aerospace Information Security and Trusted Computing
Ministry of Education
School of Cyber Science and Engineering, Wuhan University, Wuhan, China

Publication Topics

Biography

Fei Li is the associate research professor and doctoral & master supervisor of Wuhan University, the member of Chinese Information Processing Society of China and Chinese Association for Artificial Intelligence. He is mainly engaged in the research of natural language processing, has published more than 70 papers, and served as a reviewer or area chair of ACL, EMNLP, COLING, NAACL, AAAI, etc.(Based on document published on 16 April 2024).
Publications
89
Citations
397
Publications by Year
19982025
Co-Authors:
Show All Co-Authors (206)
Author's Published Works

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Harnessing Dimensional Contrast and Information Compensation for Sentence Embedding Enhancement

Kang He;Yuzhe Ding;Bobo Li;Haining Wang;Fei Li;Chong Teng;Donghong Ji

ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2025 | Conference Paper |
Unsupervised sentence embedding learning excels through positive sample construction and instance-level contrastive learning (ICL). However, this approach can lead to over-compression and dimensional contamination from noisy data augmentation and unconstrained ICL processes. To mitigate these issues, we propose a novel enhancement method, MSSE, which incorporates an Information Compensation Mechan...Show More

Harnessing Dimensional Contrast and Information Compensation for Sentence Embedding Enhancement

Kang He;Yuzhe Ding;Bobo Li;Haining Wang;Fei Li;Chong Teng;Donghong Ji

Year: 2025 | Conference Paper |

A Lightweight Design for Quantum Networks

Min Xu;Yize Tang;Yiliang Wang;Zilong Zhong;Ziheng Xu;Ting Li;Fei Li

2024 4th International Conference on Electronic Information Engineering and Computer (EIECT)
Year: 2024 | Conference Paper |
Processing data through a quantum classifier is a powerful alternative to traditional machine learning. A quantum classifier consists of a series of parameterized quantum circuits that train known quantum data to approximate classification functions and accurately classify unknown data. Considering the development limitations of quantum computers, this paper proposes a kind of lightweight quantum ...Show More

A Lightweight Design for Quantum Networks

Min Xu;Yize Tang;Yiliang Wang;Zilong Zhong;Ziheng Xu;Ting Li;Fei Li

Year: 2024 | Conference Paper |

Algorithms for the Generalized Network Construction Problem

Fei Li

2024 IEEE International Performance, Computing, and Communications Conference (IPCCC)
Year: 2024 | Conference Paper |
This research is motivated by the network construction problem studied in [2], [5], [8]–[10]. It has applications in the areas of overlay network construction and wireless coverage of networks. Given a weighted undirected graph and a list of requests of connectivity constraints on some subsets of vertices, the objective is to form connected subgraphs such that all the connectivity constraints are ...Show More

Algorithms for the Generalized Network Construction Problem

Fei Li

Year: 2024 | Conference Paper |

Generative Biomedical Event Extraction With Constrained Decoding Strategy

Fangfang Su;Chong Teng;Fei Li;Bobo Li;Jun Zhou;Donghong Ji

IEEE/ACM Transactions on Computational Biology and Bioinformatics
Year: 2024 | Volume: 21, Issue: 6 | Journal Article |
Currently, biomedical event extraction has received considerable attention in various fields, including natural language processing, bioinformatics, and computational biomedicine. This has led to the emergence of numerous machine learning and deep learning models that have been proposed and applied to tackle this complex task. While existing models typically adopt an extraction-based approach, whi...Show More

Generative Biomedical Event Extraction With Constrained Decoding Strategy

Fangfang Su;Chong Teng;Fei Li;Bobo Li;Jun Zhou;Donghong Ji

Year: 2024 | Volume: 21, Issue: 6 | Journal Article |

A Balanced Complexity and Performance User Clustering Scheme for Cell-Free Massive MIMO-NOMA Systems

Chengyin Xiong;Zhiwei Yan;Fei Li;Ting Li;Yunchao Song;Guan Gui

ICC 2024 - IEEE International Conference on Communications
Year: 2024 | Conference Paper |
User clustering presents a significant design challenge when implementing non-orthogonal multiple access (NOMA) in multiple-input multiple-output (MIMO) systems. To fully exploit the potential of power domain multiplexing and achieve better performance of NOMA, users must possess significant variations in their channel gains. Consequently, it becomes necessary to cluster users based on their disti...Show More

A Balanced Complexity and Performance User Clustering Scheme for Cell-Free Massive MIMO-NOMA Systems

Chengyin Xiong;Zhiwei Yan;Fei Li;Ting Li;Yunchao Song;Guan Gui

Year: 2024 | Conference Paper |

TKDP: Threefold Knowledge-Enriched Deep Prompt Tuning for Few-Shot Named Entity Recognition

Jiang Liu;Hao Fei;Fei Li;Jingye Li;Bobo Li;Liang Zhao;Chong Teng;Donghong Ji

IEEE Transactions on Knowledge and Data Engineering
Year: 2024 | Volume: 36, Issue: 11 | Journal Article |
Cited by: Papers (4)
Few-shot named entity recognition (NER) exploits limited annotated instances to identify named mentions. Effectively transferring the internal or external resources thus becomes the key to few-shot NER. While the existing prompt tuning methods have shown remarkable few-shot performances, they still fail to make full use of knowledge. In this work, we investigate the integration of rich knowledge t...Show More

TKDP: Threefold Knowledge-Enriched Deep Prompt Tuning for Few-Shot Named Entity Recognition

Jiang Liu;Hao Fei;Fei Li;Jingye Li;Bobo Li;Liang Zhao;Chong Teng;Donghong Ji

Year: 2024 | Volume: 36, Issue: 11 | Journal Article |

HardenVR: Harassment Detection in Social Virtual Reality

Na Wang;Jin Zhou;Jie Li;Bo Han;Fei Li;Songqing Chen

2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Social Virtual Reality (VR) is regarded as one of the most popular VR applications since it transcends geographical barriers, allowing users to interact in simulated environments for various purposes. Despite its promising prospects, there is a growing concern about the harassment issue due to the immersive nature of social VR compared to other online social environments. Existing protections agai...Show More

HardenVR: Harassment Detection in Social Virtual Reality

Na Wang;Jin Zhou;Jie Li;Bo Han;Fei Li;Songqing Chen

Year: 2024 | Conference Paper |

The design of 220GHz multi-section variable-period folded waveguide TWT

Fei Li;Tianjun Ma;Hongxia Yi

2016 IEEE International Conference on Microwave and Millimeter Wave Technology (ICMMT)
Year: 2016 | Conference Paper |
High frequency characteristics of 220GHz folded waveguide slow wave structure were studied and a 220GHz three-section variable period folded waveguide TWT was designed. Compared with three-section uniform-period folded waveguide TWT and two-section variable-period folded waveguide TWT, three-section variable-period folded waveguide TWT had the highest output power and electronic efficiency.Show More

The design of 220GHz multi-section variable-period folded waveguide TWT

Fei Li;Tianjun Ma;Hongxia Yi

Year: 2016 | Conference Paper |

Radar echo simulation of large scale environments including complex targets

Nicolas Douchin;Fei Li

2016 Progress in Electromagnetic Research Symposium (PIERS)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
Guidance of weapon systems relies on sensors to analyze targets signature. Defense weapon systems also need to detect and then identify threats also using sensors. One important class of sensors is millimeter waves radar systems that are very efficient for all weather detection. But such sensors systems are so complex that they need simulation to be tested in a large variety of operational conditi...Show More

Radar echo simulation of large scale environments including complex targets

Nicolas Douchin;Fei Li

Year: 2016 | Conference Paper |

Noninvasive neurostimulation on mice by 5 MHz ultrasound

Guofeng Li;Huixia Zhao;Yanming Wang;Qiuju Jiang;Congzhi Wang;Min Su;Fei Li;Huailing Zhang;Weibao Qiu;Hairong Zheng

2016 IEEE International Ultrasonics Symposium (IUS)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
Ultrasound has been demonstrated to be an effective approach for noninvasive neurostimulation. Low frequency ultrasound (<1 MHz) is preferable as its low ultrasonic attenuation when passing through the skull. High frequency ultrasound is able to provide reduced size of focal region. However, the performance of stimulation with high frequency ultrasound is not proved yet. This study examines the fe...Show More

Noninvasive neurostimulation on mice by 5 MHz ultrasound

Guofeng Li;Huixia Zhao;Yanming Wang;Qiuju Jiang;Congzhi Wang;Min Su;Fei Li;Huailing Zhang;Weibao Qiu;Hairong Zheng

Year: 2016 | Conference Paper |

Acoustic manipulation of microparticles in a sub-wavelength slot between two plates

Chen Wang;Feiyan Cai;Fei Li;Long Meng;Yan Kang;Hairong Zheng

2016 IEEE International Ultrasonics Symposium (IUS)
Year: 2016 | Conference Paper |
The ability to manipulate microparticles or nanoparticles precisely is important for the development of microsystem. Acoustic tweezers are excellent tools for manipulating particles with size approaching or slightly smaller than wavelength. However, manipulation of microparticles with much smaller size requires stronger acoustic confinement and higher intensities than can be provided by these diff...Show More

Acoustic manipulation of microparticles in a sub-wavelength slot between two plates

Chen Wang;Feiyan Cai;Fei Li;Long Meng;Yan Kang;Hairong Zheng

Year: 2016 | Conference Paper |

Design of W band three-section folded waveguide Traveling Wave Tube

Fei Li;Tianjun Ma;Yongliang Liu

2016 IEEE International Vacuum Electronics Conference (IVEC)
Year: 2016 | Conference Paper |
A W band three-section folded waveguide Traveling Wave Tube was designed and optimized by CST simulation. The design results showed nearly 200 watts output power without self-oscillation. Comparing with two-section folded waveguide, three-section folded waveguide slow wave structure can obtain higher and more stable output power even without BeO attenuation in it. So three-section folded waveguide...Show More

Design of W band three-section folded waveguide Traveling Wave Tube

Fei Li;Tianjun Ma;Yongliang Liu

Year: 2016 | Conference Paper |

Wavelet packet-based passive islanding detection method for grid connected photovoltaic inverters

Hieu Thanh Do;Xing Zhang;Haoyuan Li;Fei Li;Tho Thi-Thanh Chu;Ngu Nguyen Viet

2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia)
Year: 2016 | Conference Paper |
Cited by: Papers (3)
In this paper, a new passive islanding detection method for grid-connected photovoltaic inverters is proposed. The proposed method is based on extracting signatures from the high frequency components of voltage at the point of common coupling (PCC), which occur after an islanding condition. These high frequency components contain signature information capable of identifying the islanding condition...Show More

Wavelet packet-based passive islanding detection method for grid connected photovoltaic inverters

Hieu Thanh Do;Xing Zhang;Haoyuan Li;Fei Li;Tho Thi-Thanh Chu;Ngu Nguyen Viet

Year: 2016 | Conference Paper |

Multi-objective visual analysis of PI current regulator for high performance PMSM drives

Haoyuan Li;Xing Zhang;Hieu Thanh Do;Fei Li;Pengpeng Cao;Liqin Fu;Hui Wang

2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia)
Year: 2016 | Conference Paper |
Cited by: Papers (9)
In this paper, a general and visual analysis method is presented, devoting to the design of high performance PI regulator for PMSM drives. The proposed method is based on multi-objective optimization, which allows fitting several performance requirements simultaneously. The complete stable region is obtained based on D-Partition, which is surrounded by PI parameters. By using the proposed approach...Show More

Multi-objective visual analysis of PI current regulator for high performance PMSM drives

Haoyuan Li;Xing Zhang;Hieu Thanh Do;Fei Li;Pengpeng Cao;Liqin Fu;Hui Wang

Year: 2016 | Conference Paper |

Construction of information fusion system based on cloud computing

Xiangdong Hao;Fei Li;Xiaoguang Gao

2015 4th International Conference on Computer Science and Network Technology (ICCSNT)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
With the development of military technology, the large scale war, network war and the Group war have gradually become the main form of future wars. This brings a new demand of large scale multi-sensor data fusion and supercomputing capacity for information fusion system. Aiming at the shortcomings of traditional information fusion system, a new information fusion system is designed based on cloud ...Show More

Construction of information fusion system based on cloud computing

Xiangdong Hao;Fei Li;Xiaoguang Gao

Year: 2015 | Conference Paper |

Incentive mechanisms to enable fair renewable energy trade in smart grids

Huangxin Wang;Jean X. Zhang;Fei Li

2015 Sixth International Green and Sustainable Computing Conference (IGSC)
Year: 2015 | Conference Paper |
Cited by: Papers (3)
In this paper, we build up a renewable/green energy trading market for users in smart grids. Recently, more and more residential homes are equipped with solar panels to generate and consume renewable green solar energy. Unfortunately, there usually exists a mismatch between the supply and the demand of renewable energy for individual users. Thus, a market in which users can trade surplus green ene...Show More

Incentive mechanisms to enable fair renewable energy trade in smart grids

Huangxin Wang;Jean X. Zhang;Fei Li

Year: 2015 | Conference Paper |

Randomization improving online time-sensitive revenue maximization for green data centers

Huangxin Wang;Jean X. Zhang;Bo Yang;Fei Li

2015 Sixth International Green and Sustainable Computing Conference (IGSC)
Year: 2015 | Conference Paper |
Green data centers have become more and more popular recently due to their sustainability. The resource management module within a green data center, which is in charge of dispatching jobs and scheduling energy, becomes especially critical since it directly affects a center's profit and sustainability. The thrust of managing a green data center's machine and energy resources lies at the uncertaint...Show More

Randomization improving online time-sensitive revenue maximization for green data centers

Huangxin Wang;Jean X. Zhang;Bo Yang;Fei Li

Year: 2015 | Conference Paper |

A transition-based model for jointly extracting drugs, diseases and adverse drug events

Fei Li;Donghong Ji;Xiaomei Wei;Tao Qian

2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
Extracting adverse drug events (a.k.a. drug-induced diseases or drug side effects) from the raw text has been widely studied in the biomedical area. It is usually assumed that entities of drugs and diseases are given by a separated named entity recognition model. In this paper, we propose a joint model to extract drugs, diseases and adverse drug events simultaneously. In our model, the structured ...Show More

A transition-based model for jointly extracting drugs, diseases and adverse drug events

Fei Li;Donghong Ji;Xiaomei Wei;Tao Qian

Year: 2015 | Conference Paper |

Spatial selective trapping of microparticles using a quasi-periodic phononic crystal plate

Chen Wang;Feiyan Cai;Fei Li;Long Meng;Liufeng Geng;Yan Kang;Hairong Zheng

2015 IEEE International Ultrasonics Symposium (IUS)
Year: 2015 | Conference Paper |
Acoustic trapping is a powerful manipulation technique widely used in the biological and material sciences. However, selective and tunable manipulation of microparticles is still a challenge. Here, we report a spatial selective trapping of microparticles using a quasi-periodic phononic crystal plate (QP-PCP). By employing three groups of different periodical arrays of gratings on a brass plate con...Show More

Spatial selective trapping of microparticles using a quasi-periodic phononic crystal plate

Chen Wang;Feiyan Cai;Fei Li;Long Meng;Liufeng Geng;Yan Kang;Hairong Zheng

Year: 2015 | Conference Paper |

High sensitivity liquid sensor based on slotted phononic crystal

Liufeng Geng;Shuhong Xie;Feiyan Cai;Fei Li;Long Meng;Chen Wang;Hairong Zheng

2015 IEEE International Ultrasonics Symposium (IUS)
Year: 2015 | Conference Paper |
We theoretically demonstrate a slotted phononic crystals (SPC) can serve as a high sensitivity liquid sensor platform. The sensor mechanism is based on the analysis the transmission spectrums of the SPC filled with different molar concentration liquid mixtures. These transmission peaks are strongly depend both on the liquid sound velocity and on liquid density, which can serve as measure for liqui...Show More

High sensitivity liquid sensor based on slotted phononic crystal

Liufeng Geng;Shuhong Xie;Feiyan Cai;Fei Li;Long Meng;Chen Wang;Hairong Zheng

Year: 2015 | Conference Paper |

Practice and discussion of a collaborative innovation model for ethnic medical technology education and industry

Gen-Hua Zhu;Yao-Kun Xiong;Zhi-Hong Yan;Zhi-Yong Liu;Xiang Zhou;Fei Li

2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)
Year: 2015 | Conference Paper |
The plight of ethnic medical technology, education, and industry in ethnic minorities was examined, and the combined “industry-education-research” experience of Jiangxi University of Traditional Chinese Medicine was analyzed. Facing key scientific issues and technological demands, the development of an innovative collaborative model for ethnic medical technology, education, and industry was examin...Show More

Practice and discussion of a collaborative innovation model for ethnic medical technology education and industry

Gen-Hua Zhu;Yao-Kun Xiong;Zhi-Hong Yan;Zhi-Yong Liu;Xiang Zhou;Fei Li

Year: 2015 | Conference Paper |

Reweighted laplace prior based hyperspectral compressive sensing for unknown sparsity

Lei Zhang;Wei Wei;Yanning Zhang;Chunna Tian;Fei Li

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2015 | Conference Paper |
Cited by: Papers (22)
Compressive sensing(CS) has been exploited for hype-spectral image(HSI) compression in recent years. Though it can greatly reduce the costs of computation and storage, the reconstruction of HSI from a few linear measurements is challenging. The underlying sparsity of HSI is crucial to improve the reconstruction accuracy. However, the sparsity of HSI is unknown in reality and varied with different ...Show More

Reweighted laplace prior based hyperspectral compressive sensing for unknown sparsity

Lei Zhang;Wei Wei;Yanning Zhang;Chunna Tian;Fei Li

Year: 2015 | Conference Paper |

Design based inspection methodology and application in the fab

Jinghua Ke;Ofer Shopen;Fei Li;Wensheng Li;Mike Chang

2015 China Semiconductor Technology International Conference
Year: 2015 | Conference Paper |
Cited by: Papers (1)
As the design rule shrinks, detecting smaller key defects of interest is becoming more challenging for wafer inspection tools. A novel Knight™ Design Based Inspection (KDBI™) system was implemented to extend Applied Materials' inspection tools' capability. Using design data, the KDBI™ Recipe Editor helps to expedite the recipe creation process. A CAD database makes it easy to find the array areas ...Show More

Design based inspection methodology and application in the fab

Jinghua Ke;Ofer Shopen;Fei Li;Wensheng Li;Mike Chang

Year: 2015 | Conference Paper |

Enhanced ambient pressure sensitivity of the subharmonic signal from ultrasound contrast microbubbles

Fei Li;Feiyan Cai;Long Meng;Qiaofeng Jin;Hairong Zhen;Deyu Li

2013 IEEE International Ultrasonics Symposium (IUS)
Year: 2013 | Conference Paper |
Microbubble ultrasound contrast agent (UCA) has been well recognized as a potential noninvasive tool for the blood pressure measurement. A decrease in subharmonic amplitude of 9 to 12 dB has been reported for Levovist, Optison, Definity, Sonazoid, and SonoVue for ambient overpressure values around 180 mmHg. However, a pressure resolution of 3 mmHg is desirable in medical diagnostics, it is still n...Show More

Enhanced ambient pressure sensitivity of the subharmonic signal from ultrasound contrast microbubbles

Fei Li;Feiyan Cai;Long Meng;Qiaofeng Jin;Hairong Zhen;Deyu Li

Year: 2013 | Conference Paper |

Acoustic radiation force on cylindrical particles near subwavelength slits

Chen Wang;Yan Kang;Feiyan Cai;Fei Li;Long Meng;Hairong Zheng

2013 IEEE International Ultrasonics Symposium (IUS)
Year: 2013 | Conference Paper |
We theoretically and experimentally investigate the acoustic radiation force (ARF) on cylindrical steel particle near subwavelength slits. By using finite-difference-time-domain (FDTD) method combined with momentum-flux tensor, the dependence of the ARF on the frequency, width of slit are analyzed, respectively. It is predicted that the particle near the slit surface could suffer a trapping effect...Show More

Acoustic radiation force on cylindrical particles near subwavelength slits

Chen Wang;Yan Kang;Feiyan Cai;Fei Li;Long Meng;Hairong Zheng

Year: 2013 | Conference Paper |

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