Zhiliang Tian

Orcid: 0000-0002-8906-5198

According to our database1, Zhiliang Tian authored at least 42 papers between 2017 and 2024.

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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

TVT: Training-Free Vision Transformer Search on Tiny Datasets.
CoRR, 2023

Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models.
CoRR, 2023

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.
CoRR, 2023

A Case-Based Reasoning Framework for Adaptive Prompting in Cross-Domain Text-to-SQL.
CoRR, 2023

A Multi-view Meta-learning Approach for Multi-modal Response Generation.
Proceedings of the ACM Web Conference 2023, 2023

Hashtag-Guided Low-Resource Tweet Classification.
Proceedings of the ACM Web Conference 2023, 2023

Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval.
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

EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Progressive Meta-Pooling Learning for Lightweight Image Classification Model.
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

Semi-Supervised Lifelong Language Learning.
CoRR, 2022

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue.
CoRR, 2022

SeqPATE: Differentially Private Text Generation via Knowledge Distillation.
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

Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation.
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

Semi-Supervised Lifelong Language Learning.
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
Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation.
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
Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

Learning to Abstract for Memory-augmented Conversational Response Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017
Diversifying Neural Conversation Model with Maximal Marginal Relevance.
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


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