Cheng Wang

38 papers A* 6B 4Journal 18Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
Calibrating Verbalized Probabilities for Large Language Models.
CoRR
Cheng Wang, Gyuri Szarvas, Georges Balazs, Pavel Danchenko, Patrick Ernst
2024 J jnl
Towards Unbiased Calibration using Meta-Regularization.
Trans. Mach. Learn. Res.
Cheng Wang, Jacek Golebiowski
2023 J jnl
Calibration in Deep Learning: A Survey of the State-of-the-Art.
CoRR
Cheng Wang
2023 J jnl
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions.
IEEE Trans. Pattern Anal. Mach. Intell.
Cheng Wang, Carolin Lawrence, Mathias Niepert
2022 — conf
Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study.
EMNLP (Industry Track)
Cheng Wang, Jorge Balazs, György Szarvas, Patrick Ernst, Lahari Poddar, Pavel Danchenko
2022 — conf
Deploying a Retrieval based Response Model for Task Oriented Dialogues.
EMNLP (Industry Track)
Lahari Poddar, György Szarvas, Cheng Wang, Jorge Balazs, Pavel Danchenko, Patrick Ernst
2022 J jnl
Deploying a Retrieval based Response Model for Task Oriented Dialogues.
CoRR
Lahari Poddar, György Szarvas, Cheng Wang, Jorge Balazs, Pavel Danchenko, Patrick Ernst
2022 J jnl
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions.
CoRR
Cheng Wang, Carolin Lawrence, Mathias Niepert
2022 A* conf
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention.
AAAI
Jiahuan Pei, Cheng Wang, György Szarvas
2021 J jnl
Handling Long-Tail Queries with Slice-Aware Conversational Systems.
CoRR
Cheng Wang, Sun Kim, Taiwoo Park, Sajal Choudhary, Sunghyun Park, Young-Bum Kim, Ruhi Sarikaya, Sungjin Lee
2021 — conf
Learning Slice-Aware Representations with Mixture of Attentions.
ACL/IJCNLP (Findings)
Cheng Wang, Sungjin Lee, Sunghyun Park, Han Li, Young-Bum Kim, Ruhi Sarikaya
2021 J jnl
Learning Slice-Aware Representations with Mixture of Attentions.
CoRR
Cheng Wang, Sungjin Lee, Sunghyun Park, Han Li, Young-Bum Kim, Ruhi Sarikaya
2021 J jnl
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention.
CoRR
Jiahuan Pei, Cheng Wang, György Szarvas
2021 A* conf
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs.
ICLR
Cheng Wang, Carolin Lawrence, Mathias Niepert
2020 J jnl
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems.
IEEE Trans. Neural Networks Learn. Syst.
Cheng Wang, Mathias Niepert, Hui Li
2020 J jnl
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs.
CoRR
Cheng Wang, Carolin Lawrence, Mathias Niepert
2019 J jnl
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems.
CoRR
Cheng Wang, Mathias Niepert, Hui Li
2019 A* conf
State-Regularized Recurrent Neural Networks.
ICML
Cheng Wang, Mathias Niepert
2019 J jnl
State-Regularized Recurrent Neural Networks.
CoRR
Cheng Wang, Mathias Niepert
2018 J jnl
Image Captioning with Deep Bidirectional LSTMs and Multi-Task Learning.
ACM Trans. Multim. Comput. Commun. Appl.
Cheng Wang, Haojin Yang, Christoph Meinel
2018 A* conf
LRMM: Learning to Recommend with Missing Modalities.
EMNLP
Cheng Wang, Mathias Niepert, Hui Li
2018 J jnl
LRMM: Learning to Recommend with Missing Modalities.
CoRR
Cheng Wang, Mathias Niepert, Hui Li
2017 J jnl
RRA: Recurrent Residual Attention for Sequence Learning.
CoRR
Cheng Wang
2016 J jnl
A deep semantic framework for multimodal representation learning.
Multim. Tools Appl.
Cheng Wang, Haojin Yang, Christoph Meinel
2016 — conf
Action Recognition in Surveillance Video Using ConvNets and Motion History Image.
ICANN (2)
Sheng Luo, Haojin Yang, Cheng Wang, Xiaoyin Che, Christoph Meinel
2016 — —
Deep learning of multimodal representations.
Cheng Wang
2016 B conf
Exploring multimodal video representation for action recognition.
IJCNN
Cheng Wang, Haojin Yang, Christoph Meinel
2016 A* conf
Image Captioning with Deep Bidirectional LSTMs.
ACM Multimedia
Cheng Wang, Haojin Yang, Christian Bartz, Christoph Meinel
2016 J jnl
Image Captioning with Deep Bidirectional LSTMs.
CoRR
Cheng Wang, Haojin Yang, Christian Bartz, Christoph Meinel
2016 B conf
Punctuation Prediction for Unsegmented Transcript Based on Word Vector.
LREC
Xiaoyin Che, Cheng Wang, Haojin Yang, Christoph Meinel
2016 — conf
Real-Time Action Recognition in Surveillance Videos Using ConvNets.
ICONIP (3)
Sheng Luo, Haojin Yang, Cheng Wang, Xiaoyin Che, Christoph Meinel
2016 A* conf
SceneTextReg: A Real-Time Video OCR System.
ACM Multimedia
Haojin Yang, Cheng Wang, Christian Bartz, Christoph Meinel
2015 B conf
An Improved System For Real-Time Scene Text Recognition.
ICMR
Haojin Yang, Cheng Wang, Xiaoyin Che, Sheng Luo, Christoph Meinel
2015 — conf
Concept-Based Multimodal Learning for Topic Generation.
MMM (1)
Cheng Wang, Haojin Yang, Xiaoyin Che, Christoph Meinel
2015 B conf
Deep Semantic Mapping for Cross-Modal Retrieval.
ICTAI
Cheng Wang, Haojin Yang, Christoph Meinel
2015 — conf
Does Multilevel Semantic Representation Improve Text Categorization?
DEXA (1)
Cheng Wang, Haojin Yang, Christoph Meinel
2015 — conf
Visual-Textual Late Semantic Fusion Using Deep Neural Network for Document Categorization.
ICONIP (1)
Cheng Wang, Haojin Yang, Christoph Meinel
2014 — conf
Concept Based Multimodal Learning For Multimedia Retrieval.
Joint Workshop of the German Research Training Groups in Computer Science
Cheng Wang