| 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 | 373 | 2016 |
| KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation Y Xing*, Z Shi*, Z Meng*, Y Ma, R Wattenhofer ACL 2021, 2021 | 50 | 2021 |
| Towards Robust Graph Contrastive Learning N Jovanović, Z Meng, L Faber, R Wattenhofer Workshop on Self-Supervised Learning for the Web (SSL @ WWW 2021), 2021 | 43 | 2021 |
| 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 | 42 | 2021 |
| Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection Z Meng, L Mou, Z Jin CIKM 2017, 2017 | 35 | 2017 |
| A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples Z Meng, R Wattenhofer COLING 2020, 2020 | 34 | 2020 |
| Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models Z Meng, L Mou, Z Jin LREC 2018, 2018 | 24 | 2018 |
| Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations Y Fei, Z Meng, N Ping, R Wattenhofer, M Sachan EMNLP 2022, 2022 | 23 | 2022 |
| Bert is Robust! A Case Against Word Substitution-Based Adversarial Attacks J Hauser, Z Meng, D Pascual, R Wattenhofer ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 21* | 2023 |
| 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 | 20 | 2022 |
| Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks Z Meng*, Y Dong*, M Sachan, R Wattenhofer NAACL 2022, 2022 | 15* | 2022 |
| ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs Z Ding, R Qi, Z Li, B He, J Wu, Y Ma, Z Meng, Z Han, V Tresp ISWC 2023, 2023 | 13* | 2023 |
| 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 Science …, 2016 | 3 | 2016 |
| 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 | 1 | 2016 |
Roger WattenhoferETH Zurich確認したメール アドレス: ethz.ch
