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Huan Gui
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2020 – today
- 2024
- [c11]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. ICML 2024 - [i10]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 abs/2402.04644 (2024) - 2023
- [i9]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 abs/2310.03188 (2023) - [i8]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 abs/2311.05884 (2023)
2010 – 2019
- 2018
- [c10]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: 5253-5260 - [c9]Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han:
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. SDM 2018: 144-152 - [i7]Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han:
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. CoRR abs/1803.01848 (2018) - [i6]Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han:
Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings. CoRR abs/1803.03370 (2018) - 2017
- [b1]Huan Gui:
Low-rank estimation and embedding learning: theory and applications. University of Illinois Urbana-Champaign, USA, 2017 - [j1]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): 2428-2441 (2017) - [c8]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: 46-56 - [c7]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: 425-434 - [i5]Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han:
PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. CoRR abs/1706.01177 (2017) - [i4]Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han:
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. CoRR abs/1707.00166 (2017) - [i3]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 abs/1709.04109 (2017) - [i2]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 abs/1712.06922 (2017) - [i1]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 abs/1712.08357 (2017) - 2016
- [c6]Huan Gui, Haishan Liu, Xiangrui Meng, Anmol Bhasin, Jiawei Han:
Downside management in recommender systems. ASONAM 2016: 394-401 - [c5]Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Jiawei Han:
Large-Scale Embedding Learning in Heterogeneous Event Data. ICDM 2016: 907-912 - [c4]Huan Gui, Jiawei Han, Quanquan Gu:
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation. ICML 2016: 2300-2309 - 2015
- [c3]Huan Gui, Ya Xu, Anmol Bhasin, Jiawei Han:
Network A/B Testing: From Sampling to Estimation. WWW 2015: 399-409 - 2014
- [c2]Huan Gui, Yizhou Sun, Jiawei Han, George Brova:
Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks. CIKM 2014: 649-658 - [c1]Quanquan Gu, Huan Gui, Jiawei Han:
Robust Tensor Decomposition with Gross Corruption. NIPS 2014: 1422-1430
Coauthor Index
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