Zheng-Hua Tan

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 202

Top Venues

CoRR

IEEE ACM Trans. Audio Speech Lang. Process.

ICASSP

INTERSPEECH

Publications

Mathias Bach Pedersen, Søren Holdt Jensen, Zheng-Hua Tan, Jesper Jensen
Data-Driven Non-Intrusive Speech Intelligibility Prediction Using Speech Presence Probability. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Andreas Jonas Fuglsig, Jesper Jensen, Zheng-Hua Tan, Lars Søndergaard Bertelsen, Jens Christian Lindof, Jan Østergaard
Minimum Processing Near-End Listening Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Holger Severin Bovbjerg, Jesper Jensen, Jan Østergaard, Zheng-Hua Tan
Self-supervised Pretraining for Robust Personalized Voice Activity Detection in Adverse Conditions. CoRR (2023)
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho
Radio Sensing with Large Intelligent Surface for 6G. ICASSP (2023)
Sharon Gannot, Zheng-Hua Tan, Martin Haardt, Nancy F. Chen, Hoi-To Wai, Ivan Tashev, Walter Kellermann, Justin Dauwels
Data Science Education: The Signal Processing Perspective [SP Education]. IEEE Signal Process. Mag. 40 (7) (2023)
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky
PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs. CoRR (2023)
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky
PAC-Bayesian bounds for learning LTI-ss systems with input from empirical loss. CoRR (2023)
Holger Severin Bovbjerg, Zheng-Hua Tan
Improving Label-Deficient Keyword Spotting Through Self-Supervised Pretraining. ICASSP Workshops (2023)
Juan F. Montesinos, Daniel Michelsanti, Gloria Haro, Zheng-Hua Tan, Jesper Jensen
Speech inpainting: Context-based speech synthesis guided by video. CoRR (2023)
Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard, Jesper Jensen, Tommy Sonne Alstrøm, Tobias May
Investigating the Design Space of Diffusion Models for Speech Enhancement. CoRR (2023)
Iván López-Espejo, Amin Edraki, Wai-Yip Chan, Zheng-Hua Tan, Jesper Jensen
On the deficiency of intelligibility metrics as proxies for subjective intelligibility. Speech Commun. 150 (2023)
Iván López-Espejo, Ram C. M. C. Shekar, Zheng-Hua Tan, Jesper Jensen, John H. L. Hansen
Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting. ICASSP (2023)
Yiming Zhang, Hong Yu, Ruoyi Du, Zheng-Hua Tan, Wenwu Wang, Zhanyu Ma, Yuan Dong
ACTUAL: Audio Captioning With Caption Feature Space Regularization. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, Zheng-Hua Tan
Masked Autoencoders with Multi-Window Attention Are Better Audio Learners. CoRR (2023)
Daniel Michelsanti, Zheng-Hua Tan, Sergi Rotger-Griful, Jesper Jensen
A Vision-Assisted Hearing Aid System Based on Deep Learning. ICASSP Workshops (2023)
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky
Explicit construction of the minimum error variance estimator for stochastic LTI-ss systems. Autom. 153 (2023)
Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard, Jesper Jensen, Tommy Sonne Alstrøm, Tobias May
Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Sampler. CoRR (2023)
Zhanyu Ma, Xiaoou Lu, Jiyang Xie, Zhen Yang, Jing-Hao Xue, Zheng-Hua Tan, Bo Xiao, Jun Guo
On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Yuying Xie, Thomas Arildsen, Zheng-Hua Tan
Improved Disentangled Speech Representations Using Contrastive Learning in Factorized Hierarchical Variational Autoencoder. EUSIPCO (2023)
Andreas Jonas Fuglsig, Jesper Jensen, Zheng-Hua Tan, Lars Søndergaard Bertelsen, Jens Christian Lindof, Jan Østergaard
Joint Minimum Processing Beamforming and Near-end Listening Enhancement. CoRR (2023)
Iván López-Espejo, Zheng-Hua Tan, John H. L. Hansen, Jesper Jensen
Deep Spoken Keyword Spotting: An Overview. IEEE Access 10 (2022)
Mathias Bach Pedersen, Asger Heidemann Andersen, Søren Holdt Jensen, Zheng-Hua Tan, Jesper Jensen
Training Data-Driven Speech Intelligibility Predictors on Heterogeneous Listening Test Data. IEEE Access 10 (2022)
Claus M. Larsen, Peter Koch, Zheng-Hua Tan
Adversarial Multi-Task Deep Learning for Noise-Robust Voice Activity Detection with Low Algorithmic Delay. INTERSPEECH (2022)
Cristian J. Vaca-Rubio, Dariush Salami, Petar Popovski, Elisabeth de Carvalho, Zheng-Hua Tan, Stephan Sigg
User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars. EUSIPCO (2022)
Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre, David Gregoratti, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
Floor Map Reconstruction Through Radio Sensing and Learning By a Large Intelligent Surface. CoRR (2022)
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky
PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models. CoRR (2022)
Chien-Cheng Wu, Zheng-Hua Tan, Cedomir Stefanovic
AoI and Throughput Optimization for Hybrid Traffic in Cellular Uplink Using Reinforcement Learning. VTC Spring (2022)
Fan Yu, Shiliang Zhang, Pengcheng Guo, Yihui Fu, Zhihao Du, Siqi Zheng, Weilong Huang, Lei Xie, Zheng-Hua Tan, DeLiang Wang, Yanmin Qian, Kong Aik Lee, Zhijie Yan, Bin Ma, Xin Xu, Hui Bu
Summary on the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge. ICASSP (2022)
Jiyang Xie, Zhanyu Ma, Jianjun Lei, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo
Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Cristian J. Vaca-Rubio, Dariush Salami, Petar Popovski, Elisabeth de Carvalho, Zheng-Hua Tan, Stephan Sigg
User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars. CoRR (2022)
Poul Hoang, Zheng-Hua Tan, Jan Mark de Haan, Jesper Jensen
The Minimum Overlap-Gap Algorithm for Speech Enhancement. IEEE Access 10 (2022)
Poul Hoang, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen
Multichannel Speech Enhancement With Own Voice-Based Interfering Speech Suppression for Hearing Assistive Devices. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Andreas Jonas Fuglsig, Jesper Jensen, Zheng-Hua Tan, Lars Søndergaard Bertelsen, Jens Christian Lindof, Jan Østergaard
Minimum Processing Near-end Listening Enhancement. CoRR (2022)
Christian Heider Nielsen, Zheng-Hua Tan
Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise. CoRR (2022)
Fan Yu, Shiliang Zhang, Pengcheng Guo, Yihui Fu, Zhihao Du, Siqi Zheng, Weilong Huang, Lei Xie, Zheng-Hua Tan, DeLiang Wang, Yanmin Qian, Kong Aik Lee, Zhijie Yan, Bin Ma, Xin Xu, Hui Bu
Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge. CoRR (2022)
Iván López-Espejo, Ram C. M. C. Shekar, Zheng-Hua Tan, Jesper Jensen, John H. L. Hansen
Filterbank Learning for Small-Footprint Keyword Spotting Robust to Noise. CoRR (2022)
Andreas Jonas Fuglsig, Jan Østergaard, Jesper Jensen, Lars Søndergaard Bertelsen, Peter Mariager, Zheng-Hua Tan
Joint Far- and Near-End Speech Intelligibility Enhancement Based on the Approximated Speech Intelligibility Index. ICASSP (2022)
Holger Severin Bovbjerg, Zheng-Hua Tan
Improving Label-Deficient Keyword Spotting Using Self-Supervised Pretraining. CoRR (2022)
Yuying Xie, Thomas Arildsen, Zheng-Hua Tan
Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder. CoRR (2022)
Bjørn Uttrup Dideriksen, Kristoffer Derosche, Zheng-Hua Tan
iVAE-GAN: Identifiable VAE-GAN Models for Latent Representation Learning. IEEE Access 10 (2022)
Achintya Kumar Sarkar, Zheng-Hua Tan
On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification. CoRR (2022)
Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre, David Gregoratti, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface. MLSP (2022)
Iván López-Espejo, Zheng-Hua Tan, John H. L. Hansen, Jesper Jensen
Deep Spoken Keyword Spotting: An Overview. CoRR (2021)
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
Assessing Wireless Sensing Potential With Large Intelligent Surfaces. IEEE Open J. Commun. Soc. 2 (2021)
Yuying Xie, Thomas Arildsen, Zheng-Hua Tan
Disentangled Speech Representation Learning Based on Factorized Hierarchical Variational Autoencoder with Self-Supervised Objective. MLSP (2021)
Anders E. Kalør, Daniel Michelsanti, Federico Chiariotti, Zheng-Hua Tan, Petar Popovski
Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices. CoRR (2021)
Chien-Cheng Wu, Petar Popovski, Zheng-Hua Tan, Cedomir Stefanovic
Design of AoI-Aware 5G Uplink Scheduler Using Reinforcement Learning. 5GWF (2021)
Anders E. Kalør, Daniel Michelsanti, Federico Chiariotti, Zheng-Hua Tan, Petar Popovski
Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices. SPAWC (2021)
Wei Rao, Yihui Fu, Yanxin Hu, Xin Xu, Yvkai Jv, Jiangyu Han, Zhongjie Jiang, Lei Xie, Yannan Wang, Shinji Watanabe, Zheng-Hua Tan, Hui Bu, Tao Yu, Shidong Shang
Conferencingspeech Challenge: Towards Far-Field Multi-Channel Speech Enhancement for Video Conferencing. ASRU (2021)
Achintya Kumar Sarkar, Zheng-Hua Tan
Self-segmentation of pass-phrase utterances for deep feature learning in text-dependent speaker verification. Comput. Speech Lang. 70 (2021)
Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen, Jesper Jensen
On TasNet for Low-Latency Single-Speaker Speech Enhancement. CoRR (2021)
Max Væhrens, Andreas Jonas Fuglsig, Anders Post Jacobsen, Nicolai Almskou Rasmussen, Victor Mølbach Nissen, Joachim Roland Hejslet, Zheng-Hua Tan
Improvement of Noise-Robust Single-Channel Voice Activity Detection with Spatial Pre-processing. CoRR (2021)
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihály Petreczky
PAC-Bayesian theory for stochastic LTI systems. CDC (2021)
Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jun Guo
Deep InterBoost networks for small-sample image classification. Neurocomputing 456 (2021)
Wei Rao, Yihui Fu, Yanxin Hu, Xin Xu, Yvkai Jv, Jiangyu Han, Zhongjie Jiang, Lei Xie, Yannan Wang, Shinji Watanabe, Zheng-Hua Tan, Hui Bu, Tao Yu, Shidong Shang
INTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing. CoRR (2021)
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihály Petreczky
PAC-Bayesian theory for stochastic LTI systems. CoRR (2021)
Achintya Kumar Sarkar, Md. Sahidullah, Zheng-Hua Tan
Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification. CoRR (2021)
Chien-Cheng Wu, Petar Popovski, Zheng-Hua Tan, Cedomir Stefanovic
Design of AoI-Aware 5G Uplink Scheduler UsingReinforcement Learning. CoRR (2021)
Achintya Kumar Sarkar, Zheng-Hua Tan
Vocal Tract Length Perturbation for Text-Dependent Speaker Verification With Autoregressive Prediction Coding. IEEE Signal Process. Lett. 28 (2021)
Morten Østergaard Nielsen, Jan Østergaard, Jesper Jensen, Zheng-Hua Tan
Compression of DNNs Using Magnitude Pruning and Nonlinear Information Bottleneck Training. MLSP (2021)
Md. Sahidullah, Achintya Kumar Sarkar, Ville Vestman, Xuechen Liu, Romain Serizel, Tomi Kinnunen, Zheng-Hua Tan, Emmanuel Vincent
UIAI System for Short-Duration Speaker Verification Challenge 2020. SLT (2021)
Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen
A Novel Loss Function and Training Strategy for Noise-Robust Keyword Spotting. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky
Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems. CoRR (2021)
Giovanni Morrone, Daniel Michelsanti, Zheng-Hua Tan, Jesper Jensen
Audio-Visual Speech Inpainting with Deep Learning. ICASSP (2021)
Daniel Michelsanti, Zheng-Hua Tan, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu, Jesper Jensen
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Andreas Jonas Fuglsig, Jan Østergaard, Jesper Jensen, Lars Søndergaard Bertelsen, Peter Mariager, Zheng-Hua Tan
Joint Far- and Near-End Speech Intelligibility Enhancement based on the Approximated Speech Intelligibility Index. CoRR (2021)
Poul Hoang, Zheng-Hua Tan, Jan Mark de Haan, Jesper Jensen
Joint Maximum Likelihood Estimation of Power Spectral Densities and Relative Acoustic Transfer Functions for Acoustic Beamforming. ICASSP (2021)
Zeyu Song, Dongliang Chang, Zhanyu Ma, Xiaoxu Li, Zheng-Hua Tan
CC-Loss: Channel Correlation Loss for Image Classification. ICPR (2020)
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Robin Jess-Williams, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting. CrownCom (2020)
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Robin Jess-Williams, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting. CoRR (2020)
Md. Sahidullah, Achintya Kumar Sarkar, Ville Vestman, Xuechen Liu, Romain Serizel, Tomi Kinnunen, Zheng-Hua Tan, Emmanuel Vincent
UIAI System for Short-Duration Speaker Verification Challenge 2020. CoRR (2020)
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
Assessing Wireless Sensing Potential with Large Intelligent Surfaces. CoRR (2020)
Daniel Michelsanti, Olga Slizovskaia, Gloria Haro, Emilia Gómez, Zheng-Hua Tan, Jesper Jensen
Vocoder-Based Speech Synthesis from Silent Videos. CoRR (2020)
Juan M. Martín-Doñas, Jesper Jensen, Zheng-Hua Tan, Angel M. Gomez, Antonio M. Peinado
Online Multichannel Speech Enhancement Based on Recursive EM and DNN-Based Speech Presence Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen
Improved External Speaker-Robust Keyword Spotting for Hearing Assistive Devices. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Daniel Michelsanti, Zheng-Hua Tan, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu, Jesper Jensen
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation. CoRR (2020)
Miklas S. Kristoffersen, Sven Ewan Shepstone, Zheng-Hua Tan
Context-Aware Recommendations for Televisions Using Deep Embeddings with Relaxed N-Pairs Loss Objective. CoRR (2020)
Achintya Kumar Sarkar, Zheng-Hua Tan
On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors. CoRR (2020)
Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer. CoRR (2020)
Giovanni Morrone, Daniel Michelsanti, Zheng-Hua Tan, Jesper Jensen
Audio-Visual Speech Inpainting with Deep Learning. CoRR (2020)
Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen, Jesper Jensen
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Daniel Michelsanti, Olga Slizovskaia, Gloria Haro, Emilia Gómez, Zheng-Hua Tan, Jesper Jensen
Vocoder-Based Speech Synthesis from Silent Videos. INTERSPEECH (2020)
Bhaskar D. Rao, Zheng-Hua Tan
Highlights From the Machine Learning for Signal Processing Technical Committee [In the Spotlight]. IEEE Signal Process. Mag. 37 (6) (2020)
Saeid Samizade, Zheng-Hua Tan, Chao Shen, Xiaohong Guan
Adversarial Example Detection by Classification for Deep Speech Recognition. ICASSP (2020)
Achintya Kumar Sarkar, Zheng-Hua Tan
Vocal Tract Length Perturbation for Text-Dependent Speaker Verification with Autoregressive Prediction Coding. CoRR (2020)
Poul Hoang, Zheng-Hua Tan, Thomas Lunner, Jan Mark de Haan, Jesper Jensen
Maximum Likelihood Estimation of the Interference-Plus-Noise Cross Power Spectral Density Matrix for Own Voice Retrieval. ICASSP (2020)
Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen
Exploring Filterbank Learning for Keyword Spotting. CoRR (2020)
Miklas Strøm Kristoffersen, Sven Ewan Shepstone, Zheng-Hua Tan
The Importance of Context When Recommending TV Content: Dataset and Algorithms. IEEE Trans. Multim. 22 (6) (2020)
Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo
OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer. IEEE Trans. Image Process. 29 (2020)
Zeyu Song, Dongliang Chang, Zhanyu Ma, Xiaoxu Li, Zheng-Hua Tan
CC-Loss: Channel Correlation Loss For Image Classification. CoRR (2020)
Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization. CoRR (2020)
Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen
Exploring Filterbank Learning for Keyword Spotting. EUSIPCO (2020)
Zheng-Hua Tan, Achintya Kumar Sarkar, Najim Dehak
rVAD: An unsupervised segment-based robust voice activity detection method. Comput. Speech Lang. 59 (2020)
Achintya Kumar Sarkar, Himangshu Sarma, Priyanka Dwivedi, Zheng-Hua Tan
Data augmentation enhanced speaker enrollment for text-dependent speaker verification. CoRR (2020)
Miklas S. Kristoffersen, Jacob L. Wieland, Sven Ewan Shepstone, Zheng-Hua Tan, Vinoba Vinayagamoorthy
Deep Joint Embeddings of Context and Content for Recommendation. CoRR (2019)
Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen
Deep-learning-based audio-visual speech enhancement in presence of Lombard effect. Speech Commun. 115 (2019)
Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo
Soft Dropout And Its Variational Bayes Approximation. MLSP (2019)
Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen
On Training Targets and Objective Functions for Deep-learning-based Audio-visual Speech Enhancement. ICASSP (2019)
Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen, Jesper Jensen
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement. CoRR (2019)
Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen
Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect. CoRR (2019)

Zheng-Hua Tan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Zheng-Hua Tan