个人简历
学术论文
发表期刊论文(部分):
"JTFA: a Joint Time-Frequency Attention Sheme for Leakage Detection in Water Distribution Networks", submitted, 2024.
"Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control", submitted, 2024.
"Learn from Expert State: A Reward-Free Reinforcement Learning Method for Robot Arm Manipulation", submitted, 2024.
“Leakage Detection in Water Distribution Networks Using a Transformer Model with Data Normalization under Different Leak Scenarios”,Sensors, 2024.
"Enhancing Overlapped Speech Detection and Speaker Counting with Spatially-Infused Spectro-Temporal Conformer", IEEE Trans. Audio, Speech, and Language Processing, 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, 2024.
"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):
"MatCo: Computing Match Cover of Subgraph Query over Graph Data", submitted, 2024.
"A Joint Time-Frequency Transformer for Leakage Detection in Water Distribution Networks Using Frequency Decomposition and Selection", submitted, 2024.
"UniArray: Unified Spectral-Spatial Modeling for Array-Geometry-Agnostic Speeh Separation", submitted, 2024.
"Fast Kernel-Based Density-Ratio Estimation", submitted, 2024.
"Adapting OpenAI's Whisper for Speech Recognition on Code-Switch Mandarin-English SEAME and ASRU2019 Datasets", Proc. APSIPA, 2024.
“An Attention Model based Approach for Leakage Detection in Water Distribution Networks using Normal Pressure Data”, Proc. Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2024.
"Bridging Speech and Text: Enhancing ASR with Pinyin-to-Character Pre-training in Large Language Models", Proc. International Symposium on Chinese Spoken Language Processing, 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