| 2025 | CVPR | AMO Sampler: Enhancing Text Rendering with Overshooting. | Xixi Hu, Keyang Xu, Bo Liu, Qiang Liu, Hongliang Fei |
| 2025 | ICCV | Improving Rectified Flow with Boundary Conditions. | Xixi Hu, Runlong Liao, Keyang Xu, Bo Liu, Yeqing Li, Eugene Ie, Hongliang Fei, Qiang Liu |
| 2024 | CVPR | Efficient Transformer Adaptation with Soft Token Merging. | Xin Yuan, Hongliang Fei, Jinoo Baek |
| 2024 | WACV | Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution. | Xin Yuan, Jinoo Baek, Keyang Xu, Omer Tov, Hongliang Fei |
| 2023 | ACL | Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. | Yue Zhang, Hongliang Fei, Ping Li |
| 2023 | WACV | Learning Latent Structural Relations with Message Passing Prior. | Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li |
| 2022 | CIKM | Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising. | Tan Yu, Jie Liu, Zhipeng Jin, Yi Yang, Hongliang Fei, Ping Li |
| 2022 | ICTIR | U-BERT for Fast and Scalable Text-Image Retrieval. | Tan Yu, Hongliang Fei, Ping Li |
| 2022 | ICTIR | Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. | Siamak Zamany, Dingcheng Li, Hongliang Fei, Ping Li |
| 2022 | KDD | EGM: Enhanced Graph-based Model for Large-scale Video Advertisement Search. | Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li |
| 2022 | NAACL | PromptGen: Automatically Generate Prompts using Generative Models. | Yue Zhang, Hongliang Fei, Dingcheng Li, Ping Li |
| 2022 | SIGIR | Cross-Probe BERT for Fast Cross-Modal Search. | Tan Yu, Hongliang Fei, Ping Li |
| 2022 | SIGIR | End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation. | Yue Zhang, Hongliang Fei, Ping Li |
| 2021 | CIKM | Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval. | Tan Yu, Yi Yang, Hongliang Fei, Yi Li, Xiaodong Chen, Ping Li |
| 2021 | EMNLP | A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. | Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li |
| 2021 | KDD | Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. | Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li |
| 2021 | NAACL | Cross-lingual Cross-modal Pretraining for Multimodal Retrieval. | Hongliang Fei, Tan Yu, Ping Li |
| 2021 | WWW | Cross-lingual Language Model Pretraining for Retrieval. | Puxuan Yu, Hongliang Fei, Ping Li |
| 2021 | SIGIR | GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction. | Hongliang Fei, Jingyuan Zhang, Xingxuan Zhou, Junhao Zhao, Xinyang Qi, Ping Li |
| 2021 | SIGIR | Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval. | Tan Yu, Yi Yang, Yi Li, Lin Liu, Hongliang Fei, Ping Li |
| 2021 | SIGIR | ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction. | Yue Zhang, Hongliang Fei, Ping Li |
| 2020 | ACL | Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning. | Hongliang Fei, Ping Li |
| 2020 | CIKM | Sample Optimization For Display Advertising. | Hongliang Fei, Shulong Tan, Pengju Guo, Wenbo Zhang, Hongfang Zhang, Ping Li |
| 2019 | ACL | End-to-end Deep Reinforcement Learning Based Coreference Resolution. | Hongliang Fei, Xu Li, Dingcheng Li, Ping Li |
| 2019 | IJCAI | Coreference Aware Representation Learning for Neural Named Entity Recognition. | Zeyu Dai, Hongliang Fei, Ping Li |
| 2019 | KDD | Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction. | Hongliang Fei, Shulong Tan, Ping Li |
| 2019 | SDM | Deep Skip-Gram Networks for Text Classification. | Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li |
| 2018 | PAKDD | Local Graph Clustering by Multi-network Random Walk with Restart. | Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Bill Yu, John Yen, Xiang Zhang |
| 2017 | ICDE | Cross-Network Clustering and Cluster Ranking for Medical Diagnosis. | Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang |
| 2017 | ICDM | Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network. | Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang |
| 2016 | ICDM | Augmented LSTM Framework to Construct Medical Self-Diagnosis Android. | Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang |
| 2014 | SDM | Batch Mode Active Learning with Hierarchical-Structured Embedded Variance. | Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, Alok N. Choudhary |
| 2013 | KDD | Heat pump detection from coarse grained smart meter data with positive and unlabeled learning. | Hongliang Fei, Younghun Kim, Sambit Sahu, Milind R. Naphade, Sanjay K. Mamidipalli, John Hutchinson |
| 2012 | DASFAA | Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach. | Xin Huang, Hong Cheng, Jiong Yang, Jeffrey Xu Yu, Hongliang Fei, Jun Huan |
| 2011 | CIKM | Content based social behavior prediction: a multi-task learning approach. | Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Jun Huan |
| 2011 | ICDM | Structured Feature Selection and Task Relationship Inference for Multi-task Learning. | Hongliang Fei, Jun Huan |
| 2011 | KDD | Anomaly localization for network data streams with graph joint sparse PCA. | Ruoyi Jiang, Hongliang Fei, Jun Huan |
| 2010 | CIKM | Regularization and feature selection for networked features. | Hongliang Fei, Brian Quanz, Jun Huan |
| 2010 | KDD | Boosting with structure information in the functional space: an application to graph classification. | Hongliang Fei, Jun Huan |
| 2009 | CIKM | L2 norm regularized feature kernel regression for graph data. | Hongliang Fei, Jun Huan |
| 2009 | ICCCN | Anomaly Detection with Sensor Data for Distributed Security. | Brian Quanz, Hongliang Fei, Jun Huan, Joseph B. Evans, Victor Frost, Gary J. Minden, Daniel D. Deavours, Leon S. Searl, Daniel DePardo, Martin Kuehnhausen, Daniel Fokum, Matt Zeets, Angela Oguna |
| 2009 | ICDM | GLSVM: Integrating Structured Feature Selection and Large Margin Classification. | Hongliang Fei, Brian Quanz, Jun Huan |
| 2008 | BIBE | Structure feature selection for chemical compound classification. | Hongliang Fei, Jun Huan |
| 2008 | CIKM | Structure feature selection for graph classification. | Hongliang Fei, Jun Huan |