Huan Gui

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Dependency Trees

Multi Relational Data

Sequence Labeling

Information Networks

Top Venues

Publications

Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. CoRR (2024)
Huan Gui, Ruoxi Wang, Ke Yin, Long Jin, Maciej Kula, Taibai Xu, Lichan Hong, Ed H. Chi
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems. CoRR (2023)
Zhe Zhao, Qingyun Liu, Huan Gui, Bang An, Lichan Hong, Ed H. Chi
Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication. CoRR (2023)
Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. SDM (2018)
Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. CoRR (2018)
Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han
Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings. CoRR (2018)
Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han
Empower Sequence Labeling with Task-Aware Neural Language Model. AAAI (2018)
Qi Zhu, Hongwei Ng, Liyuan Liu, Ziwei Ji, Bingjie Jiang, Jiaming Shen, Huan Gui
Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017. CoRR (2017)
Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Lance M. Kaplan, Jiawei Han
Embedding Learning with Events in Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 29 (11) (2017)
Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. EMNLP (2017)
Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han
PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. KDD (2017)
Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. CoRR (2017)
Liang-Wei Chen, Bhargav Mangipudi, Jayachandu Bandlamudi, Richa Sehgal, Yun Hao, Meng Jiang, Huan Gui
Integrating Knowledge from Latent and Explicit Features for Triple Scoring - Team Radicchio's Triple Scorer at WSDM Cup 2017. CoRR (2017)
Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han
PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. CoRR (2017)
Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han
Empower Sequence Labeling with Task-Aware Neural Language Model. CoRR (2017)
Huan Gui, Haishan Liu, Xiangrui Meng, Anmol Bhasin, Jiawei Han
Downside management in recommender systems. ASONAM (2016)
Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Jiawei Han
Large-Scale Embedding Learning in Heterogeneous Event Data. ICDM (2016)
Huan Gui, Jiawei Han, Quanquan Gu
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation. ICML (2016)
Huan Gui, Ya Xu, Anmol Bhasin, Jiawei Han
Network A/B Testing: From Sampling to Estimation. WWW (2015)
Huan Gui, Yizhou Sun, Jiawei Han, George Brova
Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks. CIKM (2014)
Quanquan Gu, Huan Gui, Jiawei Han
Robust Tensor Decomposition with Gross Corruption. NIPS (2014)