According to our database1, Qingming Tang authored at least 21 papers between 2010 and 2020.
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Unsupervised Pre-training of Bidirectional Speech Encoders via Masked Reconstruction.
Towards Disentangled Representations for Human Retargeting by Multi-view Learning.
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets.
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Hierarchical Residual-pyramidal Model for Large Context Based Media Presence Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019
Controllable Paraphrase Generation with a Syntactic Exemplar.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
An efficient data gathering algorithm for large-scale wireless sensor networks with mobile sinks.
Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart.
Acoustic Feature Learning Using Cross-Domain Articulatory Measurements.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Variational Sequential Labelers for Semi-Supervised Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets.
Proceedings of the Computer Vision - ECCV 2018, 2018
Load balanced and efficient data collection protocol for wireless sensor networks.
BASIC: BCR assembly from single cells.
Up Torrent: An Efficient Data Collection Protocol in Wireless Sensor Networks.
Ad Hoc & Sensor Wireless Networks, 2017
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis.
Proceedings of the Interspeech 2017, 2017
Network Inference by Learned Node-Specific Degree Prior.
Learning Scale Free Network by Node Specific Degree Prior.
Exact Hybrid Covariance Thresholding for Joint Graphical Lasso.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Learning Scale-Free Networks by Dynamic Node Specific Degree Prior.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Bermuda: de novo assembly of transcripts with new insights for handling uneven coverage.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2010