Yi Fang

According to our database, Yi Fang authored at least 60 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning.

Yuan Wang, Zhiqiang Tao, Yi Fang

IEEE Trans. Knowl. Data Eng., September, 2024

Supervised probabilistic latent semantic analysis with applications to controversy analysis of legislative bills.

Eyor Alemayehu, Yi Fang

Intell. Data Anal., 2024

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems.

Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang

CoRR, 2024

Meta Learning to Rank for Sparsely Supervised Queries.

Xuyang Wu, Ajit Puthenputhussery, Hongwei Shang, Changsung Kang, Yi Fang

CoRR, 2024

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering.

Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang

CoRR, 2024

Table Transformers for Imputing Textual Attributes.

Ting-Ruen Wei, Yuan Wang, Yoshitaka Inoue, Hsin-Tai Wu, Yi Fang

CoRR, 2024

AMD: Automatic Multi-step Distillation of Large-scale Vision Models.

Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu

CoRR, 2024

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts.

Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang

CoRR, 2024

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs.

Yi Fang, Moxin Li, Wenjie Wang, Hui Lin, Fuli Feng

CoRR, 2024

Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models.

Xuyang Wu, Zhiyuan Peng, Sravanthi Rajanala, Hsin-Tai Wu, Yi Fang

CoRR, 2024

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models.

Zhiyuan Peng, Xuyang Wu, Qifan Wang, Sravanthi Rajanala, Yi Fang

CoRR, 2024

Mathematical Foundation and Corrections for Full Range Head Pose Estimation.

Huei-Chung Hu, Xuyang Wu, Yuan Wang, Yi Fang, Hsin-Tai Wu

CoRR, 2024

Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning.

Guohao Sun, Yue Bai, Xueying Yang, Yi Fang, Yun Fu, Zhiqiang Tao

Proceedings of the ACM on Web Conference 2024, 2024

Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers.

Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.

Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models.

Zhiyuan Peng, Xuyang Wu, Yi Fang

CoRR, 2023

A Submodular Optimization Framework for Imbalanced Text Classification With Data Augmentation.

Eyor Alemayehu, Yi Fang

IEEE Access, 2023

AMICA: Alleviating Misinformation for Chinese Americans.

Xiaoxiao Shang, Ye Chen, Yi Fang, Yuhong Liu, Subramaniam Vincent

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

An Empirical Study of Selection Bias in Pinterest Ads Retrieval.

Yuan Wang, Peifeng Yin, Zhiqiang Tao, Hari Venkatesan, Jin Lai, Yi Fang, PJ Xiao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Entity-aware Multi-task Learning for Query Understanding at Walmart.

Zhiyuan Peng, Vachik S. Dave, Nicole McNabb, Rahul Sharnagat, Alessandro Magnani, Ciya Liao, Yi Fang, Sravanthi Rajanala

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Learning user preferences through online conversations via personalized memory transfer.

Nagaarchana Godavarthy, Yuan Wang, Travis Ebesu, Un Suthee, Min Xie, Yi Fang

Inf. Retr. J., 2022

A Multi-task Learning Framework for Product Ranking with BERT.

Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, Yi Fang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Deep Partial Multiplex Network Embedding.

Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

WebFormer: The Web-page Transformer for Structure Information Extraction.

Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Meta-learning Approach to Fair Ranking.

Yuan Wang, Zhiqiang Tao, Yi Fang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DIANES: A DEI Audit Toolkit for News Sources.

Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang, Subramaniam Vincent

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Two-sided Rank Consistent Ordinal Regression for Interpretable Music Key Recommendation.

Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang

Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

Fairness of Machine Learning in Search Engines.

Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Multi-label Classification of Short Texts with Label Correlated Recurrent Neural Networks.

Zhiyuan Peng, Behnoush Abdollahi, Min Xie, Yi Fang

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Karaoke Key Recommendation Via Personalized Competence-Based Rating Prediction.

Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

node2hash: Graph aware deep semantic text hashing.

Suthee Chaidaroon, Dae Hoon Park, Yi Chang, Yi Fang

Inf. Process. Manag., 2020

Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services.

Yuan Wang, Chenwei Wang, Yinan Ling, Keita Yokoyama, Hsin-Tai Wu, Yi Fang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

User click prediction for personalized job recommendation.

Miao Jiang, Yi Fang, Huangming Xie, Jike Chong, Meng Meng

World Wide Web, 2019

Neural Compatibility Ranking for Text-based Fashion Matching.

Suthee Chaidaroon, Yi Fang, Min Xie, Alessandro Magnani

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Fault-tolerant tile mining.

Haibing Lu, Wendong Zhu, Joseph Phan, Manoochehr Ghiassi, Yi Fang, Yuan Hong, Xiaoyun He

Expert Syst. Appl., 2018

Collaborative Memory Network for Recommendation Systems.

Travis Ebesu, Bin Shen, Yi Fang

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Deep Semantic Text Hashing with Weak Supervision.

Suthee Chaidaroon, Travis Ebesu, Yi Fang

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Attentive Contextual Denoising Autoencoder for Recommendation.

Yogesh Jhamb, Travis Ebesu, Yi Fang

Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

2017

Cost-Effective Online Trending Topic Detection and Popularity Prediction in Microblogging.

Zhongchen Miao, Kai Chen, Yi Fang, Jianhua He, Yi Zhou, Wenjun Zhang, Hongyuan Zha

ACM Trans. Inf. Syst., 2017

Product review summarization through question retrieval and diversification.

Mengwen Liu, Yi Fang, Alexander G. Choulos, Dae Hoon Park, Xiaohua Hu

Inf. Retr. J., 2017

Which used product is more sellable? A time-aware approach.

Mengwen Liu, Wanying Ding, Dae Hoon Park, Yi Fang, Rui Yan, Xiaohua Hu

Inf. Retr. J., 2017

Neural Semantic Personalized Ranking for item cold-start recommendation.

Travis Ebesu, Yi Fang

Inf. Retr. J., 2017

A dual-perspective latent factor model for group-aware social event recommendation.

Yogesh Jhamb, Yi Fang

Inf. Process. Manag., 2017

Neural Citation Network for Context-Aware Citation Recommendation.

Travis Ebesu, Yi Fang

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Variational Deep Semantic Hashing for Text Documents.

Suthee Chaidaroon, Yi Fang

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016

Retrieving Non-Redundant Questions to Summarize a Product Review.

Mengwen Liu, Yi Fang, Dae Hoon Park, Xiaohua Hu, Zhengtao Yu

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Cross-Language Microblog Retrieval using Latent Semantic Modeling.

Archana Godavarthy, Yi Fang

Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

A Unified Energy-based Framework for Learning to Rank.

Yi Fang, Mengwen Liu

Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

A Utility Maximization Framework for Privacy Preservation of User Generated Content.

Yi Fang, Archana Godavarthy, Haibing Lu

Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text.

Dae Hoon Park, Yi Fang, Mengwen Liu, ChengXiang Zhai

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

DDTA 2016: The Workshop on Data-Driven Talent Acquisition.

Yi Fang, Maarten de Rijke, Huangming Xie

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Related entity finding by unified probabilistic models.

Yi Fang, Luo Si

World Wide Web, 2015

SP-SVM: Large Margin Classifier for Data on Multiple Manifolds.

Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Collaborative Language Models for Localized Query Prediction.

Yi Fang, Ziad Al Bawab, Jean-François Crespo

ACM Trans. Interact. Intell. Syst., 2014

Where not to go?: detecting road hazards using twitter.

Avinash Kumar, Miao Jiang, Yi Fang

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Modeling the dynamics of personal expertise.

Yi Fang, Archana Godavarthy

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Dynamic Workflow Adjustment with Security Constraints.

Haibing Lu, Yuan Hong, Yanjiang Yang, Yi Fang, Lian Duan

Proceedings of the Data and Applications Security and Privacy XXVIII, 2014

2013

A Pattern Matching Approach to Streaming Slot Filling.

Hung Nguyen, Yi Fang, Sandhya Gade, Vijay Mysore, Juan Hu, Sabita Pandit, Aparna Srinivasan, Miao Jiang

Proceedings of The Twenty-Second Text REtrieval Conference, 2013

Topical authority propagation on microblogs.

Juan Hu, Yi Fang, Archana Godavarthy

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Emotion tagging for comments of online news by meta classification with heterogeneous information sources.

Ying Zhang, Yi Fang, Xiaojun Quan, Lin Dai, Luo Si, Xiaojie Yuan

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012