Hi, I am Yutai Hou. I am now a computer science PhD of Harbin Institute of Technology advised by Wanxiang Che. My research interest focuses on Natural Language Processing, Dialogue System, Nature Language Generation
Working on Drug discovery with NLP and low-resource ML. | Mentor: Yingce Xia
Working on Meta Learning for few-shot sequence labeling. | Mentor: Han Liu
Working on low resource task-oriented chat bot. | Mentor: Meng Fang
Working on Data2Text, e.g generate product description or sport news. | Mentor: Chin-yew Lin
Yutai Hou, Cheng Chen, Xianzhen Luo, Bohan Li, Wanxiang Che. Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging (ACL 2022, Findings, CCF A) [paper] [code]
Yutai Hou, Xinghao Wang, Cheng Chen, Bohan Li, Wanxiang Che, Zhigang Chen. FewJoint: few-shot learning for joint dialogue understanding (IJMLC 2022, ESI, IF=4.38) [paper]
Yutai Hou, Hongyuan Dong, Xinghao Wang, Bohan Li, Wanxiang Che. MetaPrompting: Learning to Learn Better Prompts. (COLING 2022, CCF B) [paper]
Bohan Li, Yutai Hou, Wanxiang Che. Data Augmentation Approaches in Natural Language Processing: A Survey. (OpenAI 2022) [paper]
Yang Xu, Yutai Hou, Wanxiang Che. Language Anisotropic Cross-Lingual Model Editing. (Preprint) [paper]
Yutai Hou, Yongkui Lai, Cheng Chen, Wanxiang Che, Ting Liu. Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling (ACL 2021, Findings, CCF A) [paper]
Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu. C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling (AAAI 2021, CCF A) [paper] [code]
Yutai Hou, Yongkui Lai, Yushan Wu, Wanxiang Che, Ting Liu. Few-shot Learning for Multi-label Intent Detection (AAAI 2021, CCF A) [paper] [code]
Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu. Discovering Drug-Target Interaction Knowledge from Biomedical Literature (preprint) [paper] [code]
Yingce Xia, Jinhua Zhu, Lijun Wu, Yang Fan, Shufang Xie, Yutai Hou, Tao Qin. When Transformer Meets Graph Neural Networks (KDD 2021 - OGB-LSC)
Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Yijia Liu, Han Liu and Ting Liu. Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network (ACL 2020, CCF A) [paper] [code] [data] [slides][video]
Yutai Hou, Jiafeng Mao, Yongkui Lai, Cheng Chen, Wanxiang Che, Zhigang Chen, Ting Liu. FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding (Preprint 2020) [paper] [code] [data]
Sanyuan Chen, Yutai Hou, Yiming Cui, Wanxiang Che, Ting Liu, Xiangzhan Yu. Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting. (EMNLP 2020, CCF B) [paper] [code]
Yutai Hou, Yongkui Lai, Wanxiang Che. Meta Dialog Platform: a toolkit platform for NLP Few-Shot Learning (Project) 80+ Stars [Link]
Yuxuan Wang, Yutai Hou, Wanxiang Che, and Ting Liu. Static to Dynamic Word Representations: A Survey (JMLC, SCI IF=3.753) [paper]
Yutai Hou, Meng Fang, Wanxiang Che, and Ting Liu. A Corpus-free State2Seq User Simulator for Task-oriented Dialogue (CCL 2019, EI) Best poster [paper] [code] [slides]
Yutai Hou, Z Zhou, Y Liu, N Wang, W Che, H Liu, T Liu. Few-Shot Sequence Labeling with Label Dependency Transfer and Pair-wise Embedding [paper] [code]
CETC Scholarship
National Scholarship
Best Poster of CCL2019
National University Internet Application Innovation Competition (3rd)
Microsoft Research Asia · Stars of Tomorrow Internship Award (Top10%)
HIT Outstanding Graduate
Top 100 Graduation Thesis
People Scholarship (Second)
People Scholarship (Third)
Suzhou Industrial Park Scholarship
IBM Bluemix Developer Contest
First Prize, National Mathematical Modeling Contest Northeast Division
People Scholarship (Third)
Outstanding Youth League Cadre/ member
Outstanding Youth League Cadre/ member
Outstanding Student Cadre of the University
Outstanding Youth League Cadre/ member
I really welcome all kinds of academic discussions, or just simply making friends.
Drop me a line at ythou AT ir DOT hit DOT edu DOT cn