Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks. - Huan Gui; Yizhou Sun; Jiawei Han 001; George Brova (CIKM, 2014)

Robust Tensor Decomposition with Gross Corruption. - Quanquan Gu; Huan Gui; Jiawei Han 001 (NIPS, 2014)

Network A/B Testing: From Sampling to Estimation. - Huan Gui; Ya Xu; Anmol Bhasin; Jiawei Han 001 (WWW, 2015)

Downside management in recommender systems. - Huan Gui; Haishan Liu; Xiangrui Meng; Anmol Bhasin; Jiawei Han 001 (ASONAM, 2016)

Large-Scale Embedding Learning in Heterogeneous Event Data. - Huan Gui; Jialu Liu; Fangbo Tao; Meng Jiang 001; Brandon Norick; Jiawei Han 001 (ICDM, 2016)

Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation. - Huan Gui; Jiawei Han 001; Quanquan Gu (ICML, 2016)

Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. - Liyuan Liu; Xiang Ren 001; Qi Zhu 008; Shi Zhi; Huan Gui; Heng Ji 001; Jiawei Han 001 (EMNLP, 2017)

PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. - Yu Shi 002; Po-Wei Chan; Honglei Zhuang; Huan Gui; Jiawei Han 001 (KDD, 2017)

Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017. - Qi Zhu 008; Hongwei Ng; Liyuan Liu; Ziwei Ji; Bingjie Jiang; Jiaming Shen; Huan Gui (CoRR, 2017)

Integrating Knowledge from Latent and Explicit Features for Triple Scoring - Team Radicchio's Triple Scorer at WSDM Cup 2017. - Liang-Wei Chen; Bhargav Mangipudi; Jayachandu Bandlamudi; Richa Sehgal; Yun Hao; Meng Jiang 001; Huan Gui (CoRR, 2017)

Embedding Learning with Events in Heterogeneous Information Networks. - Huan Gui; Jialu Liu; Fangbo Tao; Meng Jiang 001; Brandon Norick; Lance M. Kaplan; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2017)

Low-rank estimation and embedding learning: theory and applications - Huan Gui (2017)

Empower Sequence Labeling with Task-Aware Neural Language Model. - Liyuan Liu; Jingbo Shang; Xiang Ren 001; Frank Fangzheng Xu; Huan Gui; Jian Peng 001; Jiawei Han 001 (AAAI, 2018)

AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. - Yu Shi 002; Huan Gui; Qi Zhu 008; Lance M. Kaplan; Jiawei Han 001 (SDM, 2018)

Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings. - Huan Gui; Qi Zhu 008; Liyuan Liu; Aston Zhang; Jiawei Han 001 (CoRR, 2018)

Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication. - Zhe Zhao 001; Qingyun Liu 003; Huan Gui; Bang An; Lichan Hong; Ed H. Chi (CoRR, 2023)

Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems. - Huan Gui; Ruoxi Wang; Ke Yin; Long Jin; Maciej Kula; Taibai Xu; Lichan Hong; Ed H. Chi (CoRR, 2023)

LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. - Yuji Roh; Qingyun Liu 003; Huan Gui; Zhe Yuan; Yujin Tang; Steven Euijong Whang; Liang Liu 017; Shuchao Bi; Lichan Hong; Ed H. Chi; Zhe Zhao 001 (ICML, 2024)

ReMem: Mutual Information-Aware Fine-tuning of Pretrained Vision Transformers for Effective Knowledge Distillation. - Chengyu Dong; Huan Gui; Noveen Sachdeva; Long Jin; Ke Yin; Jingbo Shang; Lichan Hong; Ed H. Chi; Zhe Zhao 001 (CoRR, 2025)