Structure feature selection for chemical compound classification. - Hongliang Fei; Jun Huan (BIBE, 2008)

Structure feature selection for graph classification. - Hongliang Fei; Jun Huan (CIKM, 2008)

L2 norm regularized feature kernel regression for graph data. - Hongliang Fei; Jun Huan (CIKM, 2009)

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; et al. (ICCCN, 2009)

GLSVM: Integrating Structured Feature Selection and Large Margin Classification. - Hongliang Fei; Brian Quanz; Jun Huan (ICDM Workshops, 2009)

Regularization and feature selection for networked features. - Hongliang Fei; Brian Quanz; Jun Huan (CIKM, 2010)

Boosting with structure information in the functional space: an application to graph classification. - Hongliang Fei; Jun Huan (KDD, 2010)

Content based social behavior prediction: a multi-task learning approach. - Hongliang Fei; Ruoyi Jiang; Yuhao Yang 007; Bo Luo; Jun Huan (CIKM, 2011)

Anomaly localization for network data streams with graph joint sparse PCA. - Ruoyi Jiang; Hongliang Fei; Jun Huan (KDD, 2011)

Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach. - Xin Huang 001; Hong Cheng 001; Jiong Yang 001; Jeffrey Xu Yu; Hongliang Fei; Jun Huan (DASFAA (1), 2012)

Learning from Structured Data with High Dimensional Structured Input and Output Domain. - Hongliang Fei (2012)

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 (KDD, 2013)

Computational prediction of toxicity. - Meenakshi Mishra; Hongliang Fei; Jun Huan (Int. J. Data Min. Bioinform., 2013)

Structured feature selection and task relationship inference for multi-task learning. - Hongliang Fei; Jun Huan (Knowl. Inf. Syst., 2013)

A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams. - Ruoyi Jiang; Hongliang Fei; Jun Huan (IEEE Trans. Knowl. Data Eng., 2013)

Batch Mode Active Learning with Hierarchical-Structured Embedded Variance. - Yu Cheng 001; Zhengzhang Chen; Hongliang Fei; Fei Wang; Alok N. Choudhary (SDM, 2014)

Structured Sparse Boosting for Graph Classification. - Hongliang Fei; Jun Huan (ACM Trans. Knowl. Discov. Data, 2014)

Augmented LSTM Framework to Construct Medical Self-Diagnosis Android. - Chaochun Liu; Huan Sun 001; Nan Du 001; Shulong Tan; Hongliang Fei; Wei Fan 001; Tao Yang 012; Hao Wu; Yaliang Li; Chenwei Zhang (ICDM, 2016)

Analytics for understanding customer behavior in the energy and utility industry. - Younghun Kim; Aleksandr Y. Aravkin; Hongliang Fei; A. Zondervan; M. Wolf (IBM J. Res. Dev., 2016)

Cross-Network Clustering and Cluster Ranking for Medical Diagnosis. - Jingchao Ni; Hongliang Fei; Wei Fan 001; Xiang Zhang 001 (ICDE, 2017)

Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network. - Jingchao Ni; Hongliang Fei; Wei Fan 001; Xiang Zhang 001 (ICDM, 2017)

Local Graph Clustering by Multi-network Random Walk with Restart. - Yaowei Yan; Dongsheng Luo; Jingchao Ni; Hongliang Fei; Wei Fan 001; Xiong Bill Yu; John Yen; Xiang Zhang 001 (PAKDD (3), 2018)

End-to-end Deep Reinforcement Learning Based Coreference Resolution. - Hongliang Fei; Xu Li 001; Dingcheng Li; Ping Li 001 (ACL (1), 2019)

Coreference Aware Representation Learning for Neural Named Entity Recognition. - Zeyu Dai; Hongliang Fei; Ping Li 001 (IJCAI, 2019)

Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction. - Hongliang Fei; Shulong Tan; Ping Li 001 (KDD, 2019)

Deep Skip-Gram Networks for Text Classification. - Chaochun Liu; Yaliang Li; Hongliang Fei; Ping Li 001 (SDM, 2019)

Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning. - Hongliang Fei; Ping Li 001 (ACL, 2020)

Sample Optimization For Display Advertising. - Hongliang Fei; Shulong Tan; Pengju Guo; Wenbo Zhang; Hongfang Zhang; Ping Li 001 (CIKM, 2020)

Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval. - Tan Yu; Yi Yang 031; Hongliang Fei; Yi Li; Xiaodong Chen; Ping Li 001 (CIKM, 2021)

A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. - Dingcheng Li; Hongliang Fei; Shaogang Ren; Ping Li 001 (EMNLP (Findings), 2021)

Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. - Shulong Tan; Zhaozhuo Xu; Weijie Zhao 001; Hongliang Fei; Zhixin Zhou; Ping Li 001 (KDD, 2021)

Cross-lingual Cross-modal Pretraining for Multimodal Retrieval. - Hongliang Fei; Tan Yu; Ping Li 001 (NAACL-HLT, 2021)

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 001 (SIGIR, 2021)

Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval. - Tan Yu; Yi Yang 031; Yi Li; Lin Liu; Hongliang Fei; Ping Li 001 (SIGIR, 2021)

ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction. - Yue Zhang; Hongliang Fei; Ping Li 001 (SIGIR, 2021)

Cross-lingual Language Model Pretraining for Retrieval. - Puxuan Yu; Hongliang Fei; Ping Li 001 (WWW, 2021)

Boost CTR Prediction for New Advertisements via Modeling Visual Content. - Tan Yu; Zhipeng Jin; Jie Liu; Yi Yang 001; Hongliang Fei; Ping Li 001 (IEEE Big Data, 2022)

Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. - Tan Yu; Jie Liu; Yi Yang 031; Yi Li; Hongliang Fei; Ping Li 001 (IEEE Big Data, 2022)

Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. - Tan Yu; Jun Zhi; Yufei Zhang; Jian Li; Hongliang Fei; Ping Li 001 (IEEE Big Data, 2022)

Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising. - Tan Yu; Jie Liu; Zhipeng Jin; Yi Yang 031; Hongliang Fei; Ping Li 001 (CIKM, 2022)

U-BERT for Fast and Scalable Text-Image Retrieval. - Tan Yu; Hongliang Fei; Ping Li 001 (ICTIR, 2022)

Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. - Siamak Zamany; Dingcheng Li; Hongliang Fei; Ping Li 001 (ICTIR, 2022)

EGM: Enhanced Graph-based Model for Large-scale Video Advertisement Search. - Tan Yu; Jie Liu; Yi Yang 031; Yi Li; Hongliang Fei; Ping Li 001 (KDD, 2022)

PromptGen: Automatically Generate Prompts using Generative Models. - Yue Zhang; Hongliang Fei; Dingcheng Li; Ping Li 001 (NAACL-HLT (Findings), 2022)

Cross-Probe BERT for Fast Cross-Modal Search. - Tan Yu; Hongliang Fei; Ping Li 001 (SIGIR, 2022)

End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation. - Yue Zhang; Hongliang Fei; Ping Li 001 (SIGIR, 2022)

Boost CTR Prediction for New Advertisements via Modeling Visual Content. - Tan Yu; Zhipeng Jin; Jie Liu; Yi Yang 031; Hongliang Fei; Ping Li 001 (CoRR, 2022)

Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models. - Yue Zhang; Hongliang Fei; Dingcheng Li; Tan Yu; Ping Li 001 (CoRR, 2022)

Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. - Yue Zhang; Hongliang Fei; Ping Li 001 (ACL (Findings), 2023)

Learning Latent Structural Relations with Message Passing Prior. - Shaogang Ren; Hongliang Fei; Dingcheng Li; Ping Li 001 (WACV, 2023)

Efficient Transformer Adaptation with Soft Token Merging. - Xin Yuan; Hongliang Fei; Jinoo Baek (CVPR Workshops, 2024)

Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution. - Xin Yuan; Jinoo Baek; Keyang Xu; Omer Tov; Hongliang Fei (WACV (Workshops), 2024)

Imagen 3. - Jason Baldridge; Jakob Bauer; Mukul Bhutani; Nicole Brichtova; Andrew Bunner; Kelvin Chan; Yichang Chen; Sander Dieleman; Yuqing Du; Zach Eaton-Rosen; Hongliang Fei; Nando de Freitas; et al. (CoRR, 2024)

Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. - Cristina Nader Vasconcelos; Abdullah Rashwan; Austin Waters; Trevor Walker; Keyang Xu; Jimmy Yan; Rui Qian; Yeqing Li; Shixin Luo; Yasumasa Onoe; Zarana Parekh; Ivana Kajic; et al. (Trans. Mach. Learn. Res., 2024)

AMO Sampler: Enhancing Text Rendering with Overshooting. - Xixi Hu 001; Keyang Xu; Bo Liu 042; Qiang Liu 001; Hongliang Fei (CVPR, 2025)

Improving Rectified Flow with Boundary Conditions. - Xixi Hu 001; Runlong Liao; Keyang Xu; Bo Liu 042; Yeqing Li; Eugene Ie; Hongliang Fei; Qiang Liu 001 (CoRR, 2025)