Hongliang Fei - RankMe

64 papers A* 19A 10B 4C 1Misc 2Journal 16Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	AMO Sampler: Enhancing Text Rendering with Overshooting. CVPR Xixi Hu, Keyang Xu, Bo Liu, Qiang Liu, Hongliang Fei
2025	J	`jnl`	Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage. CoRR Peiyu Yu, Suraj Kothawade, Sirui Xie, Ying Nian Wu, Hongliang Fei
2025	J	`jnl`	Improving Rectified Flow with Boundary Conditions. CoRR Xixi Hu, Runlong Liao, Keyang Xu, Bo Liu, Yeqing Li, Eugene Ie, Hongliang Fei, Qiang Liu
2024	J	`jnl`	AMO Sampler: Enhancing Text Rendering with Overshooting. CoRR Xixi Hu, Keyang Xu, Bo Liu, Qiang Liu, Hongliang Fei
2024	—	`conf`	Efficient Transformer Adaptation with Soft Token Merging. CVPR Workshops Xin Yuan, Hongliang Fei, Jinoo Baek
2024	J	`jnl`	Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. CoRR Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Shixin Luo, Zarana Parekh, Andrew Bunner, Hongliang Fei, Roopal Garg, Mandy Guo, Ivana Kajic, Yeqing Li, Henna Nandwani, Jordi Pont-Tuset, Yasumasa Onoe, Sarah Rosston, Su Wang, Wenlei Zhou, Kevin Swersky, David J. Fleet, Jason M. Baldridge, Oliver Wang
2024	J	`jnl`	Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. Trans. Mach. Learn. Res. 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, Mandy Guo, Wenlei Zhou, Sarah Rosston, Roopal Garg, Hongliang Fei, Jordi Pont-Tuset, Su Wang, Henna Nandwani, Andrew Bunner, Kevin Swersky, David J. Fleet, Oliver Wang, Jason M. Baldridge
2024	—	`conf`	Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution. WACV (Workshops) Xin Yuan, Jinoo Baek, Keyang Xu, Omer Tov, Hongliang Fei
2024	J	`jnl`	Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution. CoRR Xin Yuan, Jinoo Baek, Keyang Xu, Omer Tov, Hongliang Fei
2023	—	`conf`	Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. ACL (Findings) Yue Zhang, Hongliang Fei, Ping Li
2023	A	`conf`	Learning Latent Structural Relations with Message Passing Prior. WACV Shaogang Ren, Hongliang Fei, Dingcheng Li, Ping Li
2022	B	`conf`	Boost CTR Prediction for New Advertisements via Modeling Visual Content. IEEE Big Data Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li
2022	J	`jnl`	Boost CTR Prediction for New Advertisements via Modeling Visual Content. CoRR Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li
2022	A*	`conf`	Cross-Probe BERT for Fast Cross-Modal Search. SIGIR Tan Yu, Hongliang Fei, Ping Li
2022	B	`conf`	Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. IEEE Big Data Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li
2022	J	`jnl`	Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. CoRR Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li
2022	J	`jnl`	Denoising Enhanced Distantly Supervised Ultrafine Entity Typing. CoRR Yue Zhang, Hongliang Fei, Ping Li
2022	A*	`conf`	EGM: Enhanced Graph-based Model for Large-scale Video Advertisement Search. KDD Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li
2022	A*	`conf`	End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation. SIGIR Yue Zhang, Hongliang Fei, Ping Li
2022	A	`conf`	Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising. CIKM Tan Yu, Jie Liu, Zhipeng Jin, Yi Yang, Hongliang Fei, Ping Li
2022	—	`conf`	PromptGen: Automatically Generate Prompts using Generative Models. NAACL-HLT (Findings) Yue Zhang, Hongliang Fei, Dingcheng Li, Ping Li
2022	J	`jnl`	Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models. CoRR Yue Zhang, Hongliang Fei, Dingcheng Li, Tan Yu, Ping Li
2022	Misc	`conf`	Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. ICTIR Siamak Zamany, Dingcheng Li, Hongliang Fei, Ping Li
2022	B	`conf`	Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. IEEE Big Data Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li
2022	J	`jnl`	Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. CoRR Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li
2022	Misc	`conf`	U-BERT for Fast and Scalable Text-Image Retrieval. ICTIR Tan Yu, Hongliang Fei, Ping Li
2021	—	`conf`	A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation. EMNLP (Findings) Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li
2021	A	`conf`	Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval. CIKM Tan Yu, Yi Yang, Hongliang Fei, Yi Li, Xiaodong Chen, Ping Li
2021	—	`conf`	Cross-lingual Cross-modal Pretraining for Multimodal Retrieval. NAACL-HLT Hongliang Fei, Tan Yu, Ping Li
2021	A*	`conf`	Cross-lingual Language Model Pretraining for Retrieval. WWW Puxuan Yu, Hongliang Fei, Ping Li
2021	A*	`conf`	GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction. SIGIR Hongliang Fei, Jingyuan Zhang, Xingxuan Zhou, Junhao Zhao, Xinyang Qi, Ping Li
2021	A*	`conf`	Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval. SIGIR Tan Yu, Yi Yang, Yi Li, Lin Liu, Hongliang Fei, Ping Li
2021	A*	`conf`	Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. KDD Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li
2021	A*	`conf`	ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction. SIGIR Yue Zhang, Hongliang Fei, Ping Li
2020	A*	`conf`	Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning. ACL Hongliang Fei, Ping Li
2020	A	`conf`	Sample Optimization For Display Advertising. CIKM Hongliang Fei, Shulong Tan, Pengju Guo, Wenbo Zhang, Hongfang Zhang, Ping Li
2019	A*	`conf`	Coreference Aware Representation Learning for Neural Named Entity Recognition. IJCAI Zeyu Dai, Hongliang Fei, Ping Li
2019	A	`conf`	Deep Skip-Gram Networks for Text Classification. SDM Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li
2019	—	`conf`	End-to-end Deep Reinforcement Learning Based Coreference Resolution. ACL (1) Hongliang Fei, Xu Li, Dingcheng Li, Ping Li
2019	A*	`conf`	Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction. KDD Hongliang Fei, Shulong Tan, Ping Li
2018	—	`conf`	Local Graph Clustering by Multi-network Random Walk with Restart. PAKDD (3) Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Bill Yu, John Yen, Xiang Zhang
2017	A*	`conf`	Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network. ICDM Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
2017	A*	`conf`	Cross-Network Clustering and Cluster Ranking for Medical Diagnosis. ICDE Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
2016	J	`jnl`	Analytics for understanding customer behavior in the energy and utility industry. IBM J. Res. Dev. Younghun Kim, Aleksandr Y. Aravkin, Hongliang Fei, A. Zondervan, M. Wolf
2016	A*	`conf`	Augmented LSTM Framework to Construct Medical Self-Diagnosis Android. ICDM Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang
2014	A	`conf`	Batch Mode Active Learning with Hierarchical-Structured Embedded Variance. SDM Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, Alok N. Choudhary
2014	J	`jnl`	Structured Sparse Boosting for Graph Classification. ACM Trans. Knowl. Discov. Data Hongliang Fei, Jun Huan
2013	J	`jnl`	A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams. IEEE Trans. Knowl. Data Eng. Ruoyi Jiang, Hongliang Fei, Jun Huan
2013	J	`jnl`	Computational prediction of toxicity. Int. J. Data Min. Bioinform. Meenakshi Mishra, Hongliang Fei, Jun Huan
2013	A*	`conf`	Heat pump detection from coarse grained smart meter data with positive and unlabeled learning. KDD Hongliang Fei, Younghun Kim, Sambit Sahu, Milind R. Naphade, Sanjay K. Mamidipalli, John Hutchinson
2013	J	`jnl`	Structured feature selection and task relationship inference for multi-task learning. Knowl. Inf. Syst. Hongliang Fei, Jun Huan
2012	—	`—`	Learning from Structured Data with High Dimensional Structured Input and Output Domain. Hongliang Fei
2012	—	`conf`	Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach. DASFAA (1) Xin Huang, Hong Cheng, Jiong Yang, Jeffrey Xu Yu, Hongliang Fei, Jun Huan
2011	A*	`conf`	Anomaly localization for network data streams with graph joint sparse PCA. KDD Ruoyi Jiang, Hongliang Fei, Jun Huan
2011	A	`conf`	Content based social behavior prediction: a multi-task learning approach. CIKM Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Jun Huan
2011	A*	`conf`	Structured Feature Selection and Task Relationship Inference for Multi-task Learning. ICDM Hongliang Fei, Jun Huan
2010	A*	`conf`	Boosting with structure information in the functional space: an application to graph classification. KDD Hongliang Fei, Jun Huan
2010	—	`conf`	Computational prediction of toxicity. BIBM Meenakshi Mishra, Hongliang Fei, Jun Huan
2010	A	`conf`	Regularization and feature selection for networked features. CIKM Hongliang Fei, Brian Quanz, Jun Huan
2009	B	`conf`	Anomaly Detection with Sensor Data for Distributed Security. ICCCN 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	—	`conf`	GLSVM: Integrating Structured Feature Selection and Large Margin Classification. ICDM Workshops Hongliang Fei, Brian Quanz, Jun Huan
2009	A	`conf`	L2 norm regularized feature kernel regression for graph data. CIKM Hongliang Fei, Jun Huan
2008	C	`conf`	Structure feature selection for chemical compound classification. BIBE Hongliang Fei, Jun Huan
2008	A	`conf`	Structure feature selection for graph classification. CIKM Hongliang Fei, Jun Huan