Zhiliang Tian
Orcid: 0000-0002-8906-5198
According to our database1,
Zhiliang Tian
authored at least 42 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification.
CoRR, 2024
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features.
CoRR, 2024
Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank.
CoRR, 2024
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation.
CoRR, 2024
2023
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.
CoRR, 2023
CoRR, 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.
CoRR, 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Retrieval-Augmented GPT-3.5-Based Text-to-SQL Framework with Sample-Aware Prompting and Dynamic Revision Chain.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies.
Proceedings of the IEEE International Conference on Acoustics, 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer.
CoRR, 2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation.
Proceedings of the Database Systems for Advanced Applications, 2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2017
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017