Xiaodong Cui

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 93

Top Venues

Publications

Keke Tang, Wenyu Zhao, Weilong Peng, Xiang Fang, Xiaodong Cui, Peican Zhu, Zhihong Tian
Reparameterization Head for Efficient Multi-Input Networks. ICASSP (2024)
Peican Zhu, Zechen Pan, Keke Tang, Xiaodong Cui, Jinhuan Wang, Qi Xuan
Node Injection Attack Based on Label Propagation Against Graph Neural Network. CoRR (2024)
Zijun Pu, Qunfei Zhang, Yangtao Xue, Peican Zhu, Xiaodong Cui
A Novel Multi-Feature Fusion Model Based on Pre-Trained Wav2vec 2.0 for Underwater Acoustic Target Recognition. Remote. Sens. 16 (13) (2024)
Peican Zhu, Botao Wang, Keke Tang, Haifeng Zhang, Xiaodong Cui, Zhen Wang
A knowledge-guided graph attention network for emotion-cause pair extraction. Knowl. Based Syst. 286 (2024)
Jiaxin Wan, Zhiliang Qin, Xiaodong Cui, Fanlin Yang, Benjun Ma
Application of Sample Enhancement Method Combining Superpixel Segmentation and Active Learning in MBES Seafloor Sediment Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
Training Nonlinear Transformers for Efficient In-Context Learning: A Theoretical Learning and Generalization Analysis. CoRR (2024)
A F. M. Saif, Xiaodong Cui, Han Shen, Songtao Lu, Brian Kingsbury, Tianyi Chen
Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization. CoRR (2024)
Hui Wan, Hongkang Li, Songtao Lu, Xiaodong Cui, Marina Danilevsky
How Can Personalized Context Help? Exploring Joint Retrieval of Passage and Personalized Context. ICASSP (2024)
A F. M. Saif, Xiaodong Cui, Han Shen, Songtao Lu, Brian Kingsbury, Tianyi Chen
Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization. ICASSP (2024)
Jiaheng Hua, Xiaodong Cui, Xianghua Li, Keke Tang, Peican Zhu
Multimodal fake news detection through data augmentation-based contrastive learning. Appl. Soft Comput. 136 (2023)
Jianan Shi, Xiaodong Cui, Zeyu Zhu, Lingling Zhang, Jing Han
A Transformer-Based OFDM Receiver for Underwater Acoustic Communication. ICSPCC (2023)
Jiaxin Wan, Zhiliang Qin, Xiaodong Cui, Muhammad Yasir, Benjun Ma
Seafloor Habitat Mapping by Combining Multiple Features From Optic and Acoustic Data: A Case Study From Ganquan Island, South China Sea. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Xiaodong Cui, George Saon, Brian Kingsbury
Improving RNN Transducer Acoustic Models for English Conversational Speech Recognition. INTERSPEECH (2023)
George Saon, Ankit Gupta, Xiaodong Cui
Diagonal State Space Augmented Transformers for Speech Recognition. CoRR (2023)
Haiyang Hu, Chengkai Feng, Xiaodong Cui, Kai Zhang, Xianhai Bu, Fanlin Yang
A Sample Enhancement Method Based on Simple Linear Iterative Clustering Superpixel Segmentation Applied to Multibeam Seabed Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Qi Li, Xingyu Li, Xiaodong Cui, Keke Tang, Peican Zhu
HEPT Attack: Heuristic Perpendicular Trial for Hard-label Attacks under Limited Query Budgets. CIKM (2023)
George Saon, Ankit Gupta, Xiaodong Cui
Diagonal State Space Augmented Transformers for Speech Recognition. ICASSP (2023)
Han Shen, Songtao Lu, Xiaodong Cui, Tianyi Chen
Distributed Offline Policy Optimization Over Batch Data. AISTATS (2023)
Hui Wan, Hongkang Li, Songtao Lu, Xiaodong Cui, Marina Danilevsky
How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context. CoRR (2023)
Xiaodong Cui, Ashish Mittal, Songtao Lu, Wei Zhang, George Saon, Brian Kingsbury
Soft Random Sampling: A Theoretical and Empirical Analysis. CoRR (2023)
Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data. ICML (2023)
Xiaodong Cui, George Saon, Tohru Nagano, Masayuki Suzuki, Takashi Fukuda, Brian Kingsbury, Gakuto Kurata
Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing. CoRR (2022)
Xiaoming Zhang, Fan Zhang, Xiaodong Cui, Wei Zhang
Speech Emotion Recognition with Complementary Acoustic Representations. SLT (2022)
Xiaodong Cui, George Saon, Tohru Nagano, Masayuki Suzuki, Takashi Fukuda, Brian Kingsbury, Gakuto Kurata
Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing. INTERSPEECH (2022)
Jiaxin Wan, Zhiliang Qin, Xiaodong Cui, Fanlin Yang, Muhammad Yasir, Benjun Ma, Xueqin Liu
MBES Seabed Sediment Classification Based on a Decision Fusion Method Using Deep Learning Model. Remote. Sens. 14 (15) (2022)
Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Kailash Gopalakrishnan
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. INTERSPEECH (2022)
Songtao Lu, Xiaodong Cui, Mark S. Squillante, Brian Kingsbury, Lior Horesh
Decentralized Bilevel Optimization for Personalized Client Learning. ICASSP (2022)
Xiaodong Cui, Fanlin Yang, Ziyin Wu, Kai Zhang, Miao Fan, Bo Ai
Deep-Sea Sediment Mixed Pixel Decomposition Based on Multibeam Backscatter Intensity Segmentation. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Kailash Gopalakrishnan
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. CoRR (2022)
Hui Wang, Haoran Ke, Yizhe Chen, Jinhuo Wang, Fei Yan, Xiaodong Cui
Promotion of Interface Fusion of Solid Polymer Electrolyte and Cathode by Ultrasonic Vibration. Sensors 22 (5) (2022)
Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. NeurIPS (2022)
Xiaodong Cui, Songtao Lu, Brian Kingsbury
Federated Acoustic Modeling for Automatic Speech Recognition. ICASSP (2021)
Mingke Xu, Fan Zhang, Xiaodong Cui, Wei Zhang
Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation. ICASSP (2021)
Xiaodong Cui, Songtao Lu, Brian Kingsbury
Federated Acoustic Modeling For Automatic Speech Recognition. CoRR (2021)
Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung
Asynchronous Decentralized Distributed Training of Acoustic Models. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Mingke Xu, Fan Zhang, Xiaodong Cui, Wei Zhang
Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation. CoRR (2021)
Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung
Asynchronous Decentralized Distributed Training of Acoustic Models. CoRR (2021)
Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training. CoRR (2021)
Wei Zhang, Mingrui Liu, Yu Feng, Xiaodong Cui, Brian Kingsbury, Yuhai Tu
Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent. CoRR (2021)
Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan
4-Bit Quantization of LSTM-Based Speech Recognition Models. Interspeech (2021)
Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan
4-bit Quantization of LSTM-based Speech Recognition Models. CoRR (2021)
Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske
Reducing Exposure Bias in Training Recurrent Neural Network Transducers. Interspeech (2021)
Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske
Reducing Exposure Bias in Training Recurrent Neural Network Transducers. CoRR (2021)
Wei Zhang, Ziming Huang, Yada Zhu, Guangnan Ye, Xiaodong Cui, Fan Zhang
On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation. ACL/IJCNLP (1) (2021)
Wei Zhang, Ziming Huang, Yada Zhu, Guangnan Ye, Xiaodong Cui, Fan Zhang
On Sample Based Explanation Methods for NLP: Efficiency, Faithfulness, and Semantic Evaluation. CoRR (2021)
Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny
Improving Efficiency in Large-Scale Decentralized Distributed Training. ICASSP (2020)
Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu
Map Generation from Large Scale Incomplete and Inaccurate Data Labels. KDD (2020)
Tao You, Peng Wang, Danyang Jia, Fei Yang, Xiaodong Cui, Chen Liu
The effects of heterogeneity of updating rules on cooperation in spatial network. Appl. Math. Comput. 372 (2020)
Xiao Sun, Naigang Wang, Chia-Yu Chen, Jiamin Ni, Ankur Agrawal, Xiaodong Cui, Swagath Venkataramani, Kaoutar El Maghraoui, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan
Ultra-Low Precision 4-bit Training of Deep Neural Networks. NeurIPS (2020)
Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training. NeurIPS (2020)
Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu
Map Generation from Large Scale Incomplete and Inaccurate Data Labels. CoRR (2020)
Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition. CoRR (2020)
Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. ICLR (2020)
Mingrui Liu, Wei Zhang, Youssef Mroueh, Xiaodong Cui, Jarret Ross, Tianbao Yang, Payel Das
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets. NeurIPS (2020)
Conrad M. Albrecht, Rui Zhang, Xiaodong Cui, Marcus Freitag, Hendrik F. Hamann, Levente J. Klein, Ulrich Finkler, Fernando J. Marianno, Johannes Schmude, Norman Bobroff, Wei Zhang, Carlo Siebenschuh, Siyuan Lu
Change Detection from Remote Sensing to Guide OpenStreetMap Labeling. ISPRS Int. J. Geo Inf. 9 (7) (2020)
Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance. IJCAI (2020)
Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies. IEEE Signal Process. Mag. 37 (3) (2020)
Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny
Improving Efficiency in Large-Scale Decentralized Distributed Training. CoRR (2020)
Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition. CoRR (2019)
Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny
A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition. INTERSPEECH (2019)
Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny
Distributed Deep Learning Strategies for Automatic Speech Recognition. ICASSP (2019)
Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny
Distributed Deep Learning Strategies For Automatic Speech Recognition. CoRR (2019)
Xiaodong Cui, Michael Picheny
Acoustic Model Optimization Based on Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition. INTERSPEECH (2019)
Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. CoRR (2019)
Xiaodong Cui, Michael Picheny
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition. CoRR (2019)
Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
Task-Based Learning via Task-Oriented Prediction Network. CoRR (2019)
Khoi-Nguyen C. Mac, Xiaodong Cui, Wei Zhang, Michael Picheny
Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition. CoRR (2019)
David Haws, Xiaodong Cui
Cyclegan Bandwidth Extension Acoustic Modeling for Automatic Speech Recognition. ICASSP (2019)
Michael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon
Challenging the Boundaries of Speech Recognition: The MALACH Corpus. INTERSPEECH (2019)
Khoi-Nguyen C. Mac, Xiaodong Cui, Wei Zhang, Michael Picheny
Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition. INTERSPEECH (2019)
Xiao Sun, Jungwook Choi, Chia-Yu Chen, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Xiaodong Cui, Wei Zhang, Kailash Gopalakrishnan
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks. NeurIPS (2019)
Michael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon
Challenging the Boundaries of Speech Recognition: The MALACH Corpus. CoRR (2019)
Mingrui Liu, Youssef Mroueh, Wei Zhang, Xiaodong Cui, Jerret Ross, Tianbao Yang, Payel Das
Decentralized Parallel Algorithm for Training Generative Adversarial Nets. CoRR (2019)
Xiaodong Cui, Wei Zhang, Zoltán Tüske, Michael Picheny
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks. NeurIPS (2018)
Xiaodong Cui, Lin Zhang, Jia Meng, Manjeet K. Rao, Yidong Chen, Yufei Huang
MeTDiff: A Novel Differential RNA Methylation Analysis for MeRIP-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (2) (2018)
Xiaodong Cui, Wei Zhang, Zoltán Tüske, Michael Picheny
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks. CoRR (2018)
Tom Sercu, George Saon, Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Brian Kingsbury, Abhinav Sethy
Network architectures for multilingual speech representation learning. ICASSP (2017)
Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael J. Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang
Dilated Recurrent Neural Networks. NIPS (2017)
George Saon, Gakuto Kurata, Tom Sercu, Kartik Audhkhasi, Samuel Thomas, Dimitrios Dimitriadis, Xiaodong Cui, Bhuvana Ramabhadran, Michael Picheny, Lynn-Li Lim, Bergul Roomi, Phil Hall
English Conversational Telephone Speech Recognition by Humans and Machines. INTERSPEECH (2017)
Xiaodong Cui, Vaibhava Goel, George Saon
Embedding-Based Speaker Adaptive Training of Deep Neural Networks. INTERSPEECH (2017)
Xiaodong Cui, Vaibhava Goel, George Saon
Embedding-Based Speaker Adaptive Training of Deep Neural Networks. CoRR (2017)
Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael J. Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang
Dilated Recurrent Neural Networks. CoRR (2017)
George Saon, Gakuto Kurata, Tom Sercu, Kartik Audhkhasi, Samuel Thomas, Dimitrios Dimitriadis, Xiaodong Cui, Bhuvana Ramabhadran, Michael Picheny, Lynn-Li Lim, Bergul Roomi, Phil Hall
English Conversational Telephone Speech Recognition by Humans and Machines. CoRR (2017)
Xiaodong Cui, Vaibhava Goel
Maximum Likelihood Nonlinear Transformations Based on Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 24 (11) (2016)
Steven J. Rennie, Xiaodong Cui, Vaibhava Goel
Efficient non-linear feature adaptation using Maxout networks. ICASSP (2016)
Xiaodong Cui, Jia Meng, Shaowu Zhang, Yidong Chen, Yufei Huang
A peaks by modeling biological variances in MeRIP-seq data. Bioinform. 32 (12) (2016)
Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
Data augmentation for deep convolutional neural network acoustic modeling. ICASSP (2015)
Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, Abhinav Sethy, Kartik Audhkhasi, Xiaodong Cui, Ellen Kislal, Lidia Mangu, Markus Nußbaum-Thom, Michael Picheny, Zoltán Tüske, Pavel Golik, Ralf Schlüter, Hermann Ney, Mark J. F. Gales, Kate M. Knill, Anton Ragni, Haipeng Wang, Philip C. Woodland
Multilingual representations for low resource speech recognition and keyword search. ASRU (2015)
Xiaodong Cui, Vaibhava Goel
Maximum likelihood nonlinear transformations based on deep neural networks. ICASSP (2015)
Xiaodong Cui, Zhen Wei, Lin Zhang, Hui Liu, Lei Sun, Shaowu Zhang, Yufei Huang, Jia Meng
Sketching the distribution of transcriptomic features on RNA transcripts with Travis coordinates. BIBM (2015)
Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
Data Augmentation for Deep Neural Network Acoustic Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 23 (9) (2015)
Steven J. Rennie, Pierre L. Dognin, Xiaodong Cui, Vaibhava Goel
Annealed dropout trained maxout networks for improved LVCSR. ICASSP (2015)
Xiaodong Cui, Jia Meng, Shaowu Zhang, Yufei Huang
Modeling of replicates variances for detecting RNA methylation site in MERIP-SEQ data. ChinaSIP (2015)
Jia Cui, Bhuvana Ramabhadran, Xiaodong Cui, Andrew Rosenberg, Brian Kingsbury, Abhinav Sethy
Recent improvements in neural network acoustic modeling for LVCSR in low resource languages. INTERSPEECH (2014)
Lin Zhang, Jia Meng, Hui Liu, Xiaodong Cui, Shao-Wu Zhang, Yidong Chen, Yufei Huang
Detecting differentially methylated mRNA from MeRIP-Seq with likelihood ratio test. GlobalSIP (2014)
Markus Nußbaum-Thom, Xiaodong Cui, Ralf Schlüter, Vaibhava Goel, Hermann Ney
A family of discriminative training criteria based on the F-divergence for deep neural networks. ICASSP (2014)
Raul Fernandez, Jia Cui, Andrew Rosenberg, Bhuvana Ramabhadran, Xiaodong Cui
Exploiting vocal-source features to improve ASR accuracy for low-resource languages. INTERSPEECH (2014)
Xiaodong Cui, Brian Kingsbury, Jia Cui, Bhuvana Ramabhadran, Andrew Rosenberg, Mohammad Sadegh Rasooli, Owen Rambow, Nizar Habash, Vaibhava Goel
Improving deep neural network acoustic modeling for audio corpus indexing under the IARPA babel program. INTERSPEECH (2014)
Yu-Chen Zhang, Shao-Wu Zhang, Lian Liu, Lin Zhang, Hui Liu, Xiaodong Cui, Yufei Huang, Jia Meng
Differential analysis of RNA methylome with improved spatial resolution. GlobalSIP (2014)
Xiaodong Cui, Vaibhava Goel, Brian Kingsbury
Data Augmentation for deep neural network acoustic modeling. ICASSP (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiaodong Cui