Huang Hu

According to our database1, Huang Hu authored at least 22 papers between 2018 and 2022.

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Bibliography

2022
Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning.
Proceedings of the Interspeech 2022, 2022

RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Multimodal Dialogue Response Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

FORCE: A Framework of Rule-Based Conversational Recommender System.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph.
CoRR, 2021

Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Re-entry Prediction for Online Conversations via Self-Supervised Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Learning Neural Templates for Recommender Dialogue System.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Maria: A Visual Experience Powered Conversational Agent.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Open Domain Dialogue Generation with Latent Images.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Open Domain Dialogue Generation with Latent Images.
CoRR, 2020

NASE: : Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Neural Response Generation with Meta-words.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Playing 20 Question Game with Policy-Based Reinforcement Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018


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