钟雄虎
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钟雄虎,1982年生,博士,教授,博士生导师,湖南大学岳麓学者,入选湖南省“百人计划”,并获湖南省“湖湘高层次人才聚集工程”创新项目支持,湖南省委网络安全和信息化专委会委员,国家重点研发计划“长江黄河重点流域水资源与水环境综合治理”评审专家。本科与硕士毕业于西北工业大学,博士毕业于英国爱丁堡大学。在新加坡南洋理工大学从事研究工作多年,并于2013年和2014年分别应邀和英国Surrey大学和德国波恩大学展开项目合作研究,2017年-2018年间担任美国Xylem水务集团智慧水务首席数据科学家。

目前主要研究方向为人工智能与数据资产管理、声信号感知与识别、智慧水务/水利及相关应用。主持国际国内重大研究项目与企业横向项目多项。在IEEE-TSP,TASLP,TITS,JIoT上发表论文90余篇,获国际会议最佳论文奖2项。曾担任多个SCI期刊客座编辑,现任SCI期刊IETSignalProcessing期刊编委。

Email:xzhong@hnu.edu.cn
中文名: 钟雄虎 英文名:
学历: 博士 职称: 教授
联系电话: 电子邮件: xzhong@hnu.edu.cn
研究方向: 人工智能与数据资产管理、声信号感知与识别、智慧水务/水利及相关应用.
联系地址: 湖南省长沙市岳麓区麓山南路2号,湖南大学信息科学与工程学院(410082)
所属机构:  计算机科学系  学院教师
个人简历

首席数据科学家,Xylem水务集团(Xylem Inc., US),2017-2018

博士后,新加坡南洋理工大学(Nanyang Technological University, Singapore),2010-2016

博士,英国爱丁堡大学(The University of Edinburgh, UK), 2006年—2010年

硕士,西北工业大学, 2003年—2006年

本科,西北工业大学, 1999年—2003年


访问教授,新加坡南洋理工大学,2020年

访问学者,英国Surrey大学,2014年

访问学者,德国波恩大学,2013年


 团队常年招聘博士后与博士研究生,博士后除国家、学校与学院所提供的薪酬待遇外,个人提供不低于10万元的奖金资助,表现优秀的博士研究生奖学金超1万元/月;支持并推荐学生申请CSC奖学金同国外顶尖学府联合培养。

24年入学硕士生还有少量名额,课题组提供与大型央企/国企/大厂项目合作的机会,帮助学生提高科研与项目开发能力,对于表现特别优秀的学生资助参加国际会议并提供高额奖学金。

学术论文

发表期刊论文(部分):

“Leakage Detection in Water Distribution Networks Using a Transformer Model with Data Normalization under Different Leak Scenarios”,submitted, 2024

"Enhancing Overlapped Speech Detection and Speaker Counting with  Spatially-Infused Spectro-Temporal Conformer", submitted, 2024.

 "FR-GNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction", IEEE Internet of Things Journal, 2024.

  "Uncertainty-aware and class-balanced domain adaptation for object detection in driving scenes", IEEE Transactions on Intelligent Transportation Systems, 2023.

"Black-box Attacks on Graph Neural Networks via White-box Methods with Performance Guarantees",IEEE Internet of Things Journal,2023.

Z. Liu, J. Yang, X. Zhong, W. Wang, H. Chen, and Y. Chang, "A Novel Composite Graph Neural Network", IEEE Transactions on Neural Networks and Learning Systems, 2023.

Y. Shan, J. Yang, X. Li, X. Zhong, and Y. Chang, "GLAE: A Graph-learnable Auto-encoder for Single-cell RNA-seq Analysis", Information Science, 2022.

C. Xue, X. Zhong, M. Cai, H. Chen, and W. Wang, "Audio-visual Event Localization by Learning Spatial and Semantic Co-attention", IEEE Transactions on Multimedia, 2021.

J. Yang, W. Chen, X. Zhong, and W. Wang, "Multiple Acoustic Source Localization in Microphone Array Network," IEEE Transactions on Audio, Speech and Language Processing,2020. 

T.K. Chan, C.S. Chin, Hao Chen, and X. Zhong,“A Comprehensive Review of Driver Analysis Utilizing Smartphones,” IEEE Transactions on Intelligent Transportation Systems, 2019.

R. Rabiee, X. Zhong, Y. Yan, and W.-P. Tay, “LaIF: A Lane-Level Self-Positioning Scheme for Vehicles in GNSS-Denied Environments,” IEEE Transactions on Intelligent Transportation Systems, 2019.

Teck K. Chan, C. S. Chin, and X. Zhong, “Review of Current Technologies and Proposed Methodologies for Water Distributed Network Leakage Detection,” IEEE Access,2018.

J. Yang, X. Zhong, and W.-P. Tay, “A Dynamic Bayesian Nonparametric Model for Blind Calibration of Sensor Networks,” IEEE Internet of Things Journal, 2018.

Y. Yan, X. Shen, F. Hua, and X. Zhong,“On the Semidefinite Programming Algorithm for Energy-Based Acoustic Source Localization in Sensor Networks,” IEEE Sensors Journal, vol. 18, no. 21, pp. 8835-8846, 2018.

 C.S. Chin, X. Zhong, M. Hamdan, R. Cui, J. C. Cano, and Jose R. Martinez-de Dios,“Editorial: Intelligent Autonomous Transport Systems Design and Simulation”, Journal of Advanced Transportation, vol. 2018, 2018.

X. Xiao, S. Zhao, D. H. Nguyen, X. Zhong, D. L. Jones, E.S. Chng and H. Li, “Speech Dereverberation for Enhancement and Recognition using Deep Neural Networks and Feature Adaptation”,EURASIP Journal on Advances in Signal Processing, no. 1, pp. 1-18, 2016.

Y. Xiong,X. Zhong,“Linear Fitting Kalman Filter”,IET Signal Processing, vol. 10, no. 4, pp. 404-412, 2016.

X. Zhong and James R. Hopgood,“A Time-frequency Masking Based Random Finite Set Particle Filtering Method for Multiple Acoustic Source Detection and Tracking”,IEEE Transactions on Audio, Speech and Language Processing, vol. 23, no. 12, pp. 2356 - 2370, 2015.

Y. Yan, H. Wang, X. Shen and X. Zhong,“Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks”,Sensors, vo. 15, no. 8, pp. 19157-19180, 2015.

Y. Yan, H. Wang, X. Shen, K. He, “TDOA Based Source Collaborative Localization via Semidefinite Relaxation in Sensor Networks”,International Journal of Distributed Sensor Networks, vol. 2015, pp. 1-16, 2015.

X. Chen, W. Wang, X. Zhong and A. Alinaghi,“Reverberant Speech Separation with Probabilistic Time-Frequency Masking based on B-format Recordings”,Speech Communications, vol. 68, pp. 41-54, 2015. 

X. Zhong, A. Mohammadi, A. B. Premkumar and A. Asif, “A Distributed Particle Filtering Approach for Multiple Wideband Acoustic Source Tracking Using an Acoustic Vector Sensor Network”,Signal Processing, vol. 108, pp. 589-603, 2015. 

X. Zhong, A. B. Premkumar and H. Wang, “Wideband Acoustic Source Tracking in Three Dimensional Space Using a Distributed Acoustic Vector Sensor Array”,IEEE Sensors Journal, vol. 14, pp. 2502-2513, 2014.

X. Zhong and James R. Hopgood, “Particle Filtering for Time-delay of Arrival based Room Acoustic Source Tracking: Mutiple Nonconcurrent Speakers", Signal Processing, vol. 96, pp. 382-394, 2014.

X. Zhong and A. B. Premkumar, “Multiple Wideband Source Detection and Tracking Using a Distributed Acoustic Vector Sensor Array: A Random Finite Set Approach”,Signal Processing, vol.94, pp. 583-594, 2014.

X. Zhong, A. B. Premkumar and A. S. Madhukumar, “Particle Filtering for Acoustic Source Tracking in Impulsive Noise with Alpha-stable Process”,IEEE Sensors Journal, vol. 13, no. 2, pp. 589-600, Feb. 2013. 

V. N. Hari, A. B. Premkumar and X. Zhong, “A Decoupled Approach for Near-Field Source Localization Using a Single Acoustic Vector Sensor”, Circuits, Systems and Signal Processing, vol. 32, no. 2, pp. 843-859, 2013. 

X. Zhong and A. B. Premkumar, “Particle Filtering Approaches for Multiple Acoustic Source Detection and 2-D Direction of Arrival Estimation Using a Single Acoustic Vector Sensor”,IEEE Transactions on Signal Processing, vol. 60, no. 9, pp. 4719-4733, Sep. 2012. 

X. Zhong, A. B. Premkumar and A. S. Madhukumar, “Particle Filtering and Posterior Cramer-Rao Bound for 2-D Direction of Arrival Localization and Tracking Using an Acoustic Vector Sensor”,IEEE Sensors Journal, vol. 12, no. 2, pp. 363-377, Feb. 2012.


发表会议论文(部分):

"Fast Kernel-Based Density-Ratio Estimation", submitted, 2024


“An Attention Model based Approach for Leakage Detection in Water Distribution Networks using Normal Pressure Data”, submitted, 2024.


W. Chen, X. Zhong, and E. Chng, "Ehancing Low-latency Speaker Diarization with Spatial Dictionary Learning," Proc. ICASSP, 2024.


Z. Liao, F. Xiong, J. Luo, M. Cai, E. Chng, J. Feng, and X. Zhong, "Blind Estimation of Room Impulse Response from Monaural Reverberant Speech with Segmental Generative Neural Network," Proc. Interspeech, 2023.


Y. Hu, C. Chen, H. Zou, X. Zhong, E. Chng, "Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech Separation," Proc. ICASSP, 2023.


X. Ren, J. Luo, X. Zhong, and M. Cai, "Emotion-aware audio-driven face animation via contrastive feature disentanglement," Proc. Interspeech, 2023.


J. Luo, J. Yang,  E. S. Chng, and X. Zhong, “Vision Transformer based Audio Classification using Patch-level Feature Fusion," Proc. APSIPA, 2022.


W. Chen, C. Xue, and X. Zhong, "Cramér-Rao Lower Bound for DOA Estimation with an Array of Directional Microphones in Reverberant Environments," Proc. Interspeech, 2021.


W Chen, E. S. Chng, Van Tung Pham, and X. Zhong, “Overlapped Speech Detection based on Spectral and Spatial Feature Fusion," Proc. Interspeech, 2021.


CS. Chin,  N B. Kamsani,  X. Zhong, R. Cui, “Unity3D Serious Game Engine for High Fidelity Virtual Reality Training of Remotely-Operated Vehicle Pilot,” In Proceedings of the 10th International Conference on Modelling, Identification and Control, 2018.


X. Zhong, R. Rabiee, Y. Yan, and W.-P. Tay, “A Particle Filter for Vehicle Tracking with Lane Level Accuracy Under GNSS-Denied Environments,” In Proceedings of the IEEE 20th International Conference on Intelligent Transportation Systems (ITSC2017), 2017.


X. Zhong, Y. Yan, W.-P. Tay, “Posterior Cram\'er-Rao lower bound for mobile emitter tracking based on a TDOA-FDOA multi-measurement model,” In Proceedings of the 16th IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB 2016), Oct. 2016. 


X. Zhong, Wee Peng Tay, Mei Leng, S. G. Razul, and C. M. S. See, “TDOA-FDOA based multiple target detection and

tracking in the presence of measurement errors and biases,” In Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, Aug. 2016. 特邀论文


X. Zhong, V. N. Hari, W. Wang, X. Shen and H. Wang, “Particle Filtering for Channel Parameter Tracking in a Noisy Shallow Ocean Environment Using a Vertical Array,” In Proceedings of the 5th Asia-Pacific Conference on Synthetic Aperture Radar, 2015.


X. Zhong, W. Wang, M. Naqvi, and E. Chng, “A Bayesian Performance Bound for Time-Delay of Arrival based Acoustic Source Tracking in a Reverberant Environment,” In Proceedings of the 17th International Conference on Information Fusion, Spain, Jul. 2014. 特邀论文


X. Zhong, A. Mohammadi, A. B. Premkumar and A. Asif, “A Distributed Particle Filtering for Wideband Acoustic Source Tracking Using an Acoustic Vector Sensor Network,'' In Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP14), Singapore, Apr. 2014. 


X. Zhong, W. Wang, A. Alinaghi and A. B. Premkumar, “Acoustic Vector Sensor based Reverberant Speech Separation with Probabilistic Time-frequency Masking,” In Proceedings of European Signal Processing Conference (EUSIPCO13), Morocco, 2013. 


X. Zhong, A. Mohammadi, W. Wang, A. B. Premkumar and A. Asif, “Acoustic Source Tracking in a Reverberant Environment Using a Pairwise Synchronous Microphone Network,” In Proceedings of the 16th International Conference on Information Fusion, Turkey, 2013. 特邀论文


X. Zhong, A. B. Premkumar and W. Wang “Direction of Arrival Tracking of an Underwater Acoustic Source Using Model based Approaches: Real Data Experiments,”  In Proceedings of IEEE TENCON Spring Conference, Australia, 2013.


X. Zhong, V. N. Hari and A. B. Premkumar, “An Optimal Importance Sampling based Particle Filtering for Channel Parameter Estimation in Shallow Ocean,” In Proceedings of the 1st IEEE Global Conference on Consumer Electronics (GCCE 2012), Japan, Oct. 2012.


X. Zhong, A. B. Premkumar and Lau Chiew Tong, “An Extended Information PF for Wideband Acoustic Source Tracking Using a Distributed AVS Array,” In Proceedings of European Signal Processing Conference (EUSIPCO12), Romania, Aug. 2012.


X. Zhong and A. B. Premkumar, “A Random Finite Set Approach for Joint Detection and Tracking of Multiple Wideband Sources Using a Distributed Acoustic Vector Sensor Array,” In Proceedings of the 15th International Conference on Information Fusion, Singapore, Jul. 2012.


X. Zhong, Z. Madadi and A. B. Premkumar, “Performance Study of Vertical Acoustic Vector Sensor Array based 3-D Position Tracking in a Shallow Ocean Environment,” In Proceedings of the 11th International Conference on Information Science, Signal Processing, and Their Applications (ISSPA 2012), Canada, Jul. 2012. 


X. Zhong, A. B. Premkumar and A. S. Madhukumar, “A Random Finite Set Approach for Tracking Time-varying Number of Acoustic Sources Using a Single Acoustic Vector Sensor,”  In Proceedings of Acoustic, Speech and Signal Processing, IEEE International Conference on (ICASSP12), Japan, Mar. 2012.


X. Zhong, A. B. Premkumar and A. S. Madhukumar, “Direction of Arrival Tracking in Impulsive Noise Using Particle Filter with Fractional Lower Order Moment Likelihood},” In Proceedings of the 8th International Conference on Information, Communications and Signal Processing (ICICS11),  Singapore, Dec. 2011. 


X. Zhong, A. B. Premkumar and A. S. Madhukumar, “Particle Filtering for 2-D Direction of Arrival Tracking Using an Acoustic Vector Sensor},” In Proceedings of 2011 European Signal Processing Conference (EUSIPCO11), Spain, Aug. 2011. 


X. Zhong, A. B. Premkumar, A. S. Madhukumar and Lau Chiew Tong, “Multi-modality Likelihood Based Particle Filtering for 2-D Direction of Arrival Tracking Using a Single Acoustic Vector Sensor,” In Proceedings of International Conference on Multimedia and Expo, Workshop on Acoustics and Video Coding and Communication, IEEE (ICME11), Spain, Jul. 2011. 


X. Zhong, V. N. Hari, A. B. Premkumar and A. S. Madhukumar, “Particle Filtering with Enhanced Likelihood Model for Underwater Acoustic Source DOA Tracking,” In Proceedings of OCEANS, IEEE (OCEANS11), Spain, Jun. 2011. 


X. Zhong and James R. Hopgood, “Time-frequency Masking Based Multiple Acoustic Source Tracking Applying Rao-Blackwellised Monte Carlo Data Association,” In Proceedings of Statistical Signal Processing, IEEE Workshop on (SSP09), Cardiff, U.K., 2009.


X. Zhong and James R. Hopgood, “Nonconcurrent Multiple Speakers Tracking based on Extended Kalman Particle Filter,” In Proceedings of Acoustic, Speech and Signal Processing, IEEE International Conference on (ICASSP08), Las Vegas, U.S., 2008. 


X. Zhong, S. Song and C. Pei, “A Time-varying Autoregressive Parameters Estimation Method Based on Kalman Particle Filter with Forgetting Factors,” In Proceedings of Computer as a Tool, Europe International Conference on (EUROCON05),  Belgrade, 2005. 


J. Yang, W. P. Tay and X. Zhong, “\emph{A dynamic Bayesian nonparametric model for blind calibration of sensor networks," the 2017 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP17), 2017.


F. Quitin, V. Govindaraj, X. Zhong and W.-P. Tay, “Virtual multi-antenna array for estimating the

angle-of-arrival of a RF transmitter,” the IEEE 84th Vehicular Technology Conference (VTC2016-Fall), Sep. 2016.


S. Zhao, X. Xiao, Z. Zhang, Thi Ngoc Tho Nguyen, X. Zhong, B. Ren, L. Wang, Douglas L. Jones, Eng Siong Chng, Haizhou Li, “Robust Speech Recognition Using Beamforming With Adaptive Microphone Gains and Multichannel Noise Reduction”, In Proceedings of IEEE Workshop on Automatic Speech Recognition and Understanding, 2015.


X. Xiao, S. Zhao, X. Zhong, E.Siong Chng, and H. Li, “Learning to Estimate Reverberation Time in Noisy and Reverberant Rooms,” In Proceedings of the International Conference of Interspeech, 2015.


Y. Xiong, X. Zhong and R. Yang, “The Linear Fitting Kalman Filter for Nonlinear Tracking,” In Proceedings of the 5th Asia-Pacific Conference on Synthetic Aperture Radar, 2015.


X. Xiao, S. Zhao, X. Zhong, E.Siong Chng, and H. Li, A Learning-based Approach to Direction of Arrival Estimation in Noisy and Reverberant Environments,” In Proceedings of the 2015 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP15), 2015.


V. Kilic, X. Zhong, M. Barnard, W. Wang and J. Kittler, “Audio-Visual Tracking of a Variable Number of Speakers with a Random Finite Set Approach,” In Proceedings of the 17th International Conference on Information Fusion, Spain, Jul. 2014.


X. Xiao, S. Zhao, D. Hoang Ha Nguyen, X. Zhong, D. L. Jones, E.Siong Chng, H. Li, “The NTU-ADSC System for Reverberation Challenge 2014,” In Proceedings of the 2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP14), Italy, May 2014.


V. N. Hari, X. Zhong and A. B. Premkumar,  “Near-Field/far-field Source Localization with an Acoustic Vector Sensor Array Using Polynomial Rooting,” In Proceedings of  the 12th Symposium on Ocean Electronics (SYMPOL 2013), India, 2013. (荣获最佳论文奖)


A. Mohammadi, A. Asif, X. Zhong and A. B. Premkumar, “Decentralized Bayesian Estimation with Quantized Observations: Theoretical Performance Bounds,” In Proceedings of IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), U.S., 2013.


X. Chen, A. Alinaghi, X. Zhong and W. Wang “Acoustic Vector Sensor based Speech Source Separation with Mixed Gaussian-Laplacian Distributions,” In Proceedings of the 18th International Conference on Digital Signal Processing, Greece, 2013.




授课:

人工智能,本科生,春季

科研状况

科研项目(部分):

2024年-2025年,“分洪闸多维智慧管控平台关键技术研究”,湖南建投集团,主持

2024年-2025年,“污水处理工艺与运维智能化技术研究”,湖南智源科技有限公司,主持

2024年-2026年,“数据资产确权、安全以及隐私保护算法研究”,湖南xx信息科技有限公司,主持

2024年-2025年,“长距离输水管线智能化运维技术研究”,深圳xx科技有限公司,主持

2024年-2025年,“二次供水降噪方法研究”,长沙水业集团,主持

2022年-2025年“管线资产信息化运维技术研究”,深圳xx科技有限公司主持

2022年-2023年“供水管线安全监测关键技术研究”,中建五局主持

2022年-2023年“智慧水务关键技术研究”,湖南省建工集团主持

2022年-2023年“大湾区某供冷管网监测技术研究”,深圳xx科技有限公司主持

2021年-2022年,“语音质量评估研究”,阿里巴巴达摩院,主持

2020年-2021年,“目标说话人提取与语音分离技术研究”,湖南***教育科技有限公司,主持

2020年-2021年,“基于大规模麦克风阵列xxx研究”,阿里巴巴达摩院,主持

2020年-2023年,“基于分布式麦克风阵列网络的一体化多声源检测、跟踪与信号分离研究”,国家自然科学基金面上,主持

2019年-2022年,“智慧水务/水利关键技术研究”,湖湘高层次人才创新项目,主持

2019年-2023年,“人工智能、大数据及相关应用研究”,中央高校研究基金,主持

2018年-2023年,新加坡EDB智慧水务重点项目“基于大数据融合与学习的供水管网异常监测、定位与预警(Big Data Fusion and Learning for Integrated Early Warning, Detection, Localization and Classification of Water Distribution Network Anomalies)” ,主持

2015年-2018年,新加坡重大国际合作研究项目“NTU/NXP V2X Communication Testbed”,主持子项目

2014年-2017年,新加坡淡马锡实验室国防项目“MAISON”,主要完成人

2011年-2014年,新加坡淡马锡实验室国防项目“MARGOR”,主要完成人

2010年-2013年,新加坡国防科工局项目“Modeling of Shallow Ocean Signal and Noise and Techniques for Detection and Localization of Weak Signals” ,主要完成人