About Me
Hi! I'm a PhD student in the Department of Computer Science at ETH Zurich, co-advised by Mrinmaya Sachan and Antoine Bosselut. Before ETH Zurich, I got my MPhil degree in the Department of Computer Science and Engineering at CUHK, co-advised by Ming-Chang Yang and James Cheng, and my Bachelor degree in the Advanced Class in Mathematics and Physics at HUST.
Research Philosophy
Knowledge is often organized as structures, and it is inextricably linked with data, model, and task. Thus, my research mainly focuses on the understanding and improving foundation models from the view of knowledge.
model interpretation, knowledge enhancement, graph-based machine learning, information theory
Selected Publications
Full list can be found in Google Scholar.
- Adapters for Enhanced Modeling of Multilingual Knowledge and Text
Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan.
EMNLP 2022 (Findings)
Best Paper at MRL Workshop
[paper] [code] [slides] - What Has Been Enhanced in my Knowledge-Enhanced Language Model?
Yifan Hou, Guoji Fu, Mrinmaya Sachan.
EMNLP 2022 (Findings)
[paper] [code] - Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach
Yifan Hou, Mrinmaya Sachan.
ACL 2021
[paper] [code] - Measuring and Improving the Use of Graph Information in Graph Neural Networks
Yifan Hou, Jian Zhang, James Cheng, Kaili Ma, Richard T. B. Ma, Hongzhi Chen, Ming-Chang Yang.
ICLR 2020
[paper] [code] - A Representation Learning Framework for Property Graphs
Yifan Hou, Hongzhi Chen, Changji Li, James Cheng, Ming-Chang Yang.
KDD 2019
[paper] [code]
My Service
2022 Reviewer: ICML, NeurIPS, EMNLP
2023 Reviewer: EACL, ACL, ICML, NeurIPS, EMNLP
Experience
- Summer intern at TTIC in 2020
Project: Extracting and analyzing the structured multimodal information on webpages
Advisor: Mrinmaya Sachan - Summer intern at NUS in 2019
Project: Analysis of graph neural networks based on information theory
Advisor: Richard T. B. Ma - Summer exchange at UIUC in 2017
Project: Data analysis with social networks on Gephi
Selected Awards
Several representative awards are listed below.
| Year | Award |
|---|---|
| 2022 | Best Paper Award (MRL Workshop) |
| 2022 | Outstanding Reviewer (ICML) |
| 2022 | SDSC Ph.D. Fellowship (SDSC) |
| 2020 | Faculty Outstanding MPhil Thesis Award (CUHK) |
| 2019 | Student Travel Award (KDD) |
| 2018 | Outstanding Graduates Awards (HUST) |
| 2016 | China National Scholarship (HUST) |