Zhao Meng
Zhao Meng
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Cited by
Cited by
How Transferable are Neural Networks in NLP Applications?
L Mou, Z Meng, R Yan, G Li, Y Xu, L Zhang, Z Jin
EMNLP 2016, 2016
Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection
Z Meng, L Mou, Z Jin
CIKM 2017, 2017
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples
Z Meng, R Wattenhofer
COLING 2020, 2020
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
Y Xing*, Z Shi*, Z Meng*, Y Ma, R Wattenhofer
ACL 2021, 2021
Towards Robust Graph Contrastive Learning
N JovanoviŠ, Z Meng, L Faber, R Wattenhofer
Workshop on Self-Supervised Learning for the Web (SSL @ WWW 2021), 2021
Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models
Z Meng, L Mou, Z Jin
LREC 2018, 2018
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers
Z Shi*, Z Meng*, Y Xing, Y Ma, R Wattenhofer
BMVC 2021, 2021
Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks
Z Meng*, Y Dong*, M Sachan, R Wattenhofer
Findings of NAACL 2022, 2022
BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification
J Hauser, Z Meng*, D Pascual*, R Wattenhofer
arXiv preprint arXiv:2109.07403, 2021
Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference
Z Meng, L Mou, G Li, Z Jin
Proceedings of the International Conference on Knowledge Scienceá…, 2016
Forecasting Question Answering over Temporal Knowledge Graphs
Z Ding, R Qi, Z Li, B He, J Wu, Y Ma, Z Meng, Z Han, V Tresp
arXiv preprint arXiv:2208.06501, 2022
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion
G Fu*, Z Meng*, Z Han*, Z Ding, Y Ma, M Schubert, V Tresp, ...
Proceedings of the Sixth Workshop on Structured Prediction for NLP, 22-31, 2022
Leveraging Recurrent Neural Networks for Multimodal Recognition of Social Norm Violation in Dialog
T Zhao, R Zhao, Z Meng, J Cassell
arXiv preprint arXiv:1610.03112, 2016
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