Cong Liu
Orcid: 0009-0003-0328-423XAffiliations:
- IFLYTEK Research, Hefei, China
- Microsoft Research Asia, Beijing, China (former)
- University of Science and Technology of China, Hefei, China (former)
According to our database1,
Cong Liu
authored at least 37 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
Dynamic facial expression recognition with pseudo-label guided multi-modal pre-training.
IET Comput. Vis., February, 2024
2023
1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking.
CoRR, 2023
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation.
CoRR, 2023
SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction.
CoRR, 2023
Proceedings of the 32nd USENIX Security Symposium, 2023
Handwritten Chemical Structure Image to Structure-Specific Markup Using Random Conditional Guided Decoder.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Self-Supervised Audio-Visual Speech Representations Learning by Multimodal Self-Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023
The Multimodal Information Based Speech Processing (Misp) 2022 Challenge: Audio-Visual Diarization And Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
IEEE Trans. Cogn. Dev. Syst., 2022
CoRR, 2022
Few-shot X-ray Prohibited Item Detection: A Benchmark and Weak-feature Enhancement Network.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
The First Multimodal Information Based Speech Processing (Misp) Challenge: Data, Tasks, Baselines And Results.
Proceedings of the IEEE International Conference on Acoustics, 2022
Wider & Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021
2018
Fast and Robust Detection of Anatomical Landmarks Using Cascaded 3D Convolutional Networks Guided by Linear Square Regression.
Proceedings of the Biometric Recognition - 13th Chinese Conference, 2018
2017
IEEE ACM Trans. Audio Speech Lang. Process., 2017
2016
Joint training of DNNs by incorporating an explicit dereverberation structure for distant speech recognition.
EURASIP J. Adv. Signal Process., 2016
2015
Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency.
CoRR, 2015
Multi-task deep neural network acoustic models with model adaptation using discriminative speaker identity for whisper recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
A unified speaker-dependent speech separation and enhancement system based on deep neural networks.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015
2013
A cluster-based multiple deep neural networks method for large vocabulary continuous speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013
Incoherent training of deep neural networks to de-correlate bottleneck features for speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Investigation of deep neural networks (DNN) for large vocabulary continuous speech recognition: Why DNN surpasses GMMS in acoustic modeling.
Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, 2012
2011
Trust Region-Based Optimization for Maximum Mutual Information Estimation of HMMs in Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2011
2010
Proceedings of the 7th International Symposium on Chinese Spoken Language Processing, 2010
A bounded trust region optimization for discriminative training of HMMS in speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
A trust region based optimization for maximum mutual information estimation of HMMS in speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
IEEE Trans. Speech Audio Process., 2008
Exploiting Non-Target Region Information for Confidence Measure Based on Bayesian Information Criterion.
Proceedings of the 6th International Symposium on Chinese Spoken Language Processing, 2008
2007
A Constrained Line Search Optimization for Discriminative Training in Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007