Cheng Wang

Orcid: 0000-0001-9177-9563

Affiliations:
  • NEC Laboratories Europe GmbH, Heidelberg, Germany
  • University of Potsdam, Hasso Plattner Institute, Germany (PhD 2017)


According to our database1, Cheng Wang authored at least 24 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

2022
Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Deploying a Retrieval based Response Model for Task Oriented Dialogues.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Transformer Uncertainty Estimation with Hierarchical Stochastic Attention.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Handling Long-Tail Queries with Slice-Aware Conversational Systems.
CoRR, 2021

Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Slice-Aware Representations with Mixture of Attentions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems.
IEEE Trans. Neural Networks Learn. Syst., 2020

2019
State-Regularized Recurrent Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Image Captioning with Deep Bidirectional LSTMs and Multi-Task Learning.
ACM Trans. Multim. Comput. Commun. Appl., 2018

LRMM: Learning to Recommend with Missing Modalities.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016
Deep learning of multimodal representations.
PhD thesis, 2016

A deep semantic framework for multimodal representation learning.
Multim. Tools Appl., 2016

SceneTextReg: A Real-Time Video OCR System.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Image Captioning with Deep Bidirectional LSTMs.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Punctuation Prediction for Unsegmented Transcript Based on Word Vector.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Exploring multimodal video representation for action recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Real-Time Action Recognition in Surveillance Videos Using ConvNets.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Action Recognition in Surveillance Video Using ConvNets and Motion History Image.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Concept-Based Multimodal Learning for Topic Generation.
Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

An Improved System For Real-Time Scene Text Recognition.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Deep Semantic Mapping for Cross-Modal Retrieval.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Visual-Textual Late Semantic Fusion Using Deep Neural Network for Document Categorization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Does Multilevel Semantic Representation Improve Text Categorization?
Proceedings of the Database and Expert Systems Applications, 2015


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