Does Multilevel Semantic Representation Improve Text Categorization? - Cheng Wang 002; Haojin Yang; Christoph Meinel (DEXA (1), 2015)

Visual-Textual Late Semantic Fusion Using Deep Neural Network for Document Categorization. - Cheng Wang 002; Haojin Yang; Christoph Meinel (ICONIP (1), 2015)

Deep Semantic Mapping for Cross-Modal Retrieval. - Cheng Wang 002; Haojin Yang; Christoph Meinel (ICTAI, 2015)

An Improved System For Real-Time Scene Text Recognition. - Haojin Yang; Cheng Wang 002; Xiaoyin Che; Sheng Luo 002; Christoph Meinel (ICMR, 2015)

Concept-Based Multimodal Learning for Topic Generation. - Cheng Wang 002; Haojin Yang; Xiaoyin Che; Christoph Meinel (MMM (1), 2015)

Action Recognition in Surveillance Video Using ConvNets and Motion History Image. - Sheng Luo 002; Haojin Yang; Cheng Wang 002; Xiaoyin Che; Christoph Meinel (ICANN (2), 2016)

Real-Time Action Recognition in Surveillance Videos Using ConvNets. - Sheng Luo 002; Haojin Yang; Cheng Wang 002; Xiaoyin Che; Christoph Meinel (ICONIP (3), 2016)

Exploring multimodal video representation for action recognition. - Cheng Wang 002; Haojin Yang; Christoph Meinel (IJCNN, 2016)

Punctuation Prediction for Unsegmented Transcript Based on Word Vector. - Xiaoyin Che; Cheng Wang 002; Haojin Yang; Christoph Meinel (LREC, 2016)

Image Captioning with Deep Bidirectional LSTMs. - Cheng Wang 002; Haojin Yang; Christian Bartz; Christoph Meinel (ACM Multimedia, 2016)

SceneTextReg: A Real-Time Video OCR System. - Haojin Yang; Cheng Wang 002; Christian Bartz; Christoph Meinel (ACM Multimedia, 2016)

A deep semantic framework for multimodal representation learning. - Cheng Wang 002; Haojin Yang; Christoph Meinel (Multim. Tools Appl., 2016)

Deep learning of multimodal representations. - Cheng Wang 002 (2016)

LRMM: Learning to Recommend with Missing Modalities. - Cheng Wang 002; Mathias Niepert; Hui Li 057 (EMNLP, 2018)

Image Captioning with Deep Bidirectional LSTMs and Multi-Task Learning. - Cheng Wang 002; Haojin Yang; Christoph Meinel (ACM Trans. Multim. Comput. Commun. Appl., 2018)

State-Regularized Recurrent Neural Networks. - Cheng Wang 002; Mathias Niepert (ICML, 2019)

RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems. - Cheng Wang 002; Mathias Niepert; Hui Li 057 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Learning Slice-Aware Representations with Mixture of Attentions. - Cheng Wang 002; Sungjin Lee; Sunghyun Park; Han Li; Young-Bum Kim; Ruhi Sarikaya (ACL/IJCNLP (Findings), 2021)

Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs. - Cheng Wang 002; Carolin Lawrence; Mathias Niepert (ICLR, 2021)

Handling Long-Tail Queries with Slice-Aware Conversational Systems. - Cheng Wang 002; Sun Kim; Taiwoo Park; Sajal Choudhary; Sunghyun Park; Young-Bum Kim; Ruhi Sarikaya; Sungjin Lee (CoRR, 2021)

Transformer Uncertainty Estimation with Hierarchical Stochastic Attention. - Jiahuan Pei; Cheng Wang 002; György Szarvas (AAAI, 2022)

Deploying a Retrieval based Response Model for Task Oriented Dialogues. - Lahari Poddar; György Szarvas; Cheng Wang 002; Jorge Balazs; Pavel Danchenko; Patrick Ernst (EMNLP (Industry Track), 2022)

Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study. - Cheng Wang 002; Jorge Balazs; György Szarvas; Patrick Ernst; Lahari Poddar; Pavel Danchenko (EMNLP (Industry Track), 2022)

State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions. - Cheng Wang 002; Carolin Lawrence; Mathias Niepert (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Calibrating Verbalized Probabilities for Large Language Models. - Cheng Wang 002; Gyuri Szarvas; Georges Balazs; Pavel Danchenko; Patrick Ernst (CoRR, 2024)