| 2024 | ICML | LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. | Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao |
| 2018 | AAAI | Empower Sequence Labeling with Task-Aware Neural Language Model. | Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han |
| 2018 | SDM | AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. | Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han |
| 2017 | EMNLP | Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. | Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han |
| 2017 | KDD | PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. | Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han |
| 2016 | ICDM | Large-Scale Embedding Learning in Heterogeneous Event Data. | Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Jiawei Han |
| 2016 | ICML | Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation. | Huan Gui, Jiawei Han, Quanquan Gu |
| 2015 | WWW | Network A/B Testing: From Sampling to Estimation. | Huan Gui, Ya Xu, Anmol Bhasin, Jiawei Han |
| 2014 | CIKM | Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks. | Huan Gui, Yizhou Sun, Jiawei Han, George Brova |