Zhiyuan Zhang
Orcid: 0000-0001-5550-8897Affiliations:
- Peking University, School of Computer Science, MOE Key Laboratory of Computational Linguistics, Beijing, China
According to our database1,
Zhiyuan Zhang
authored at least 28 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction.
CoRR, 2023
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2021
CoRR, 2021
Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network.
CoRR, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
CoRR, 2019
Automatic Translating Between Ancient Chinese and Contemporary Chinese with Limited Aligned Corpora.
Proceedings of the Natural Language Processing and Chinese Computing, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018