Yi Fang

114 papers A* 22A 7B 2C 1Misc 9Journal 58Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Submodular Evaluation Subset Selection in Automatic Prompt Optimization.
CoRR
Jinming Nian, Zhiyuan Peng, Hongwei Shang, Dae Hoon Park, Yi Fang
2026 J jnl
Towards Sample-Efficient and Stable Reinforcement Learning for LLM-based Recommendation.
CoRR
Hongxun Ding, Keqin Bao, Jizhi Zhang, Yi Fang, Wenxin Xu, Fuli Feng, Xiangnan He
2025 J jnl
A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics.
CoRR
Ting-Ruen Wei, Haowei Liu, Xuyang Wu, Yi Fang
2025 J jnl
Diffusion Models in Recommendation Systems: A Survey.
CoRR
Ting-Ruen Wei, Yi Fang
2025 B conf
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems.
COLING
Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2025 — conf
Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning.
EMNLP (Findings)
Xuyang Wu, Jinming Nian, Ting-Ruen Wei, Zhiqiang Tao, Hsin-Tai Wu, Yi Fang
2025 A* conf
ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions.
SIGIR
Zhiyuan Peng, Jinming Nian, Alexandre V. Evfimievski, Yi Fang
2025 J jnl
Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers.
CoRR
Zhiyuan Peng, Ting-Ruen Wei, Tingyu Song, Yilun Zhao, Yi Fang
2025 — conf
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts.
EMNLP (Findings)
Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2025 J jnl
Evaluating Social Biases in LLM Reasoning.
CoRR
Xuyang Wu, Jinming Nian, Zhiqiang Tao, Yi Fang
2025 J jnl
Fairness-Aware Race and Ethnicity Detection From Names.
IEEE Access
Xiaoxiao Shang, Zhiyuan Peng, Subramaniam Vincent, Yi Fang
2025 J jnl
Measuring Large Language Models Capacity to Annotate Journalistic Sourcing.
CoRR
Subramaniam Vincent, Phoebe Wang, Zhan Shi, Sahas Koka, Yi Fang
2025 J jnl
Meta-Learning to Rank for Sparsely Supervised Queries.
ACM Trans. Inf. Syst.
Xuyang Wu, Ajit Puthenputhussery, Hongwei Shang, Changsung Kang, Yi Fang
2025 J jnl
Multimodal deep learning for enhanced breast cancer diagnosis on sonography.
Comput. Biol. Medicine
Ting-Ruen Wei, Aileen Chang, Young Kang, Mahesh Patel, Yi Fang, Yuling Yan
2025 — conf
RaCT: Ranking-aware Chain-of-Thought Optimization for LLMs.
SIGIR-AP
Haowei Liu, Xuyang Wu, Guohao Sun, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2025 J jnl
Semi-supervised named entity recognition with data augmentation by structured consistency training.
Expert Syst. Appl.
Zhiyuan Peng, Behnoush Abdollahi, Min Xie, Yi Fang
2025 J jnl
Soft prompt tuning for augmenting dense retrieval with large language models.
Knowl. Based Syst.
Zhiyuan Peng, Xuyang Wu, Qifan Wang, Yi Fang
2025 J jnl
Strategic XFC Charging Station Placement in Equilibrium Traffic Networks.
IEEE Trans. Intell. Transp. Syst.
Cheng Fang, Xi Chen, Xiang Li, Yi Fang, Sihang Li, Shiqi Shao, Michele Samorani, Haibing Lu
2025 Misc conf
W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering.
ICTIR
Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang
2024 J jnl
A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning.
IEEE Trans. Knowl. Data Eng.
Yuan Wang, Zhiqiang Tao, Yi Fang
2024 — conf
AMD: Automatic Multi-step Distillation of Large-Scale Vision Models.
ECCV (65)
Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu
2024 J jnl
AMD: Automatic Multi-step Distillation of Large-scale Vision Models.
CoRR
Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu
2024 A* conf
Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning.
WWW
Guohao Sun, Yue Bai, Xueying Yang, Yi Fang, Yun Fu, Zhiqiang Tao
2024 J jnl
CLERF: Contrastive LEaRning for Full Range Head Pose Estimation.
CoRR
Ting-Ruen Wei, Haowei Liu, Huei-Chung Hu, Xuyang Wu, Yi Fang, Hsin-Tai Wu
2024 J jnl
ChainRank-DPO: Chain Rank Direct Preference Optimization for LLM Rankers.
CoRR
Haowei Liu, Xuyang Wu, Guohao Sun, Zhiqiang Tao, Yi Fang
2024 — conf
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers.
NAACL-HLT
Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2024 J jnl
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers.
CoRR
Yuan Wang, Xuyang Wu, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2024 J jnl
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems.
CoRR
Xuyang Wu, Shuowei Li, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2024 — conf
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.
EMNLP (Findings)
Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2024 J jnl
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.
CoRR
Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2024 J jnl
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts.
CoRR
Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang
2024 J jnl
Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications.
CoRR
Ethan Lin, Zhiyuan Peng, Yi Fang
2024 J jnl
Fairness in Search Systems.
Found. Trends Inf. Retr.
Yi Fang, Ashudeep Singh, Zhiqiang Tao
2024 J jnl
Mathematical Foundation and Corrections for Full Range Head Pose Estimation.
CoRR
Huei-Chung Hu, Xuyang Wu, Yuan Wang, Yi Fang, Hsin-Tai Wu
2024 J jnl
Meta Learning to Rank for Sparsely Supervised Queries.
CoRR
Xuyang Wu, Ajit Puthenputhussery, Hongwei Shang, Changsung Kang, Yi Fang
2024 J jnl
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models.
CoRR
Xuyang Wu, Zhiyuan Peng, Sravanthi Rajanala, Hsin-Tai Wu, Yi Fang
2024 J jnl
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models.
CoRR
Zhiyuan Peng, Xuyang Wu, Qifan Wang, Sravanthi Rajanala, Yi Fang
2024 J jnl
RAG-ConfusionQA: A Benchmark for Evaluating LLMs on Confusing Questions.
CoRR
Zhiyuan Peng, Jinming Nian, Alexandre V. Evfimievski, Yi Fang
2024 J jnl
Supervised probabilistic latent semantic analysis with applications to controversy analysis of legislative bills.
Intell. Data Anal.
Eyor Alemayehu, Yi Fang
2024 J jnl
Table Transformers for Imputing Textual Attributes.
CoRR
Ting-Ruen Wei, Yuan Wang, Yoshitaka Inoue, Hsin-Tai Wu, Yi Fang
2024 J jnl
Table Transformers for imputing textual attributes.
Pattern Recognit. Lett.
Ting-Ruen Wei, Yuan Wang, Yoshitaka Inoue, Hsin-Tai Wu, Yi Fang
2024 J jnl
W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering.
CoRR
Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang
2023 J jnl
A Submodular Optimization Framework for Imbalanced Text Classification With Data Augmentation.
IEEE Access
Eyor Alemayehu, Yi Fang
2023 A* conf
AMICA: Alleviating Misinformation for Chinese Americans.
SIGIR
Xiaoxiao Shang, Ye Chen, Yi Fang, Yuhong Liu, Subramaniam Vincent
2023 A* conf
An Empirical Study of Selection Bias in Pinterest Ads Retrieval.
KDD
Yuan Wang, Peifeng Yin, Zhiqiang Tao, Hari Venkatesan, Jin Lai, Yi Fang, PJ Xiao
2023 A* conf
Entity-aware Multi-task Learning for Query Understanding at Walmart.
KDD
Zhiyuan Peng, Vachik S. Dave, Nicole McNabb, Rahul Sharnagat, Alessandro Magnani, Ciya Liao, Yi Fang, Sravanthi Rajanala
2023 J jnl
Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models.
CoRR
Zhiyuan Peng, Xuyang Wu, Yi Fang
2022 A* conf
A Meta-learning Approach to Fair Ranking.
SIGIR
Yuan Wang, Zhiqiang Tao, Yi Fang
2022 A* conf
A Multi-task Learning Framework for Product Ranking with BERT.
WWW
Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, Yi Fang
2022 J jnl
A Multi-task Learning Framework for Product Ranking with BERT.
CoRR
Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, Yi Fang
2022 A* conf
DIANES: A DEI Audit Toolkit for News Sources.
SIGIR
Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang, Subramaniam Vincent
2022 J jnl
DIANES: A DEI Audit Toolkit for News Sources.
CoRR
Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang, Subramaniam Vincent
2022 — conf
Deep Partial Multiplex Network Embedding.
WWW (Companion Volume)
Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu
2022 J jnl
Deep Partial Multiplex Network Embedding.
CoRR
Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu
2022 A conf
Fairness of Machine Learning in Search Engines.
CIKM
Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin
2022 J jnl
Learning user preferences through online conversations via personalized memory transfer.
Inf. Retr. J.
Nagaarchana Godavarthy, Yuan Wang, Travis Ebesu, Un Suthee, Min Xie, Yi Fang
2022 Misc conf
Two-sided Rank Consistent Ordinal Regression for Interpretable Music Key Recommendation.
ICTIR
Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang
2022 A* conf
WebFormer: The Web-page Transformer for Structure Information Extraction.
WWW
Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu
2022 J jnl
WebFormer: The Web-page Transformer for Structure Information Extraction.
CoRR
Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu
2021 C conf
Game Theoretic Approach to Extreme Fast Charging Location.
ISCAS
Haibing Lu, Xi Chen, Jiangpeng Dai, Bin Wu, Yi Fang, Michele Samorani, Zhen Li
2021 Misc conf
Karaoke Key Recommendation Via Personalized Competence-Based Rating Prediction.
ICASSP
Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang
2021 Misc conf
Multi-label Classification of Short Texts with Label Correlated Recurrent Neural Networks.
ICTIR
Zhiyuan Peng, Behnoush Abdollahi, Min Xie, Yi Fang
2020 — conf
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services.
IEEE BigData
Yuan Wang, Chenwei Wang, Yinan Ling, Keita Yokoyama, Hsin-Tai Wu, Yi Fang
2020 J jnl
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services.
CoRR
Yuan Wang, Chenwei Wang, Yinan Ling, Keita Yokoyama, Hsin-Tai Wu, Yi Fang
2020 J jnl
node2hash: Graph aware deep semantic text hashing.
Inf. Process. Manag.
Suthee Chaidaroon, Dae Hoon Park, Yi Chang, Yi Fang
2019 A* conf
Neural Compatibility Ranking for Text-based Fashion Matching.
SIGIR
Suthee Chaidaroon, Yi Fang, Min Xie, Alessandro Magnani
2019 Misc ed.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019.
ICTIR
Yi Fang, Yi Zhang, James Allan, Krisztian Balog, Ben Carterette, Jiafeng Guo
2019 J jnl
User click prediction for personalized job recommendation.
World Wide Web
Miao Jiang, Yi Fang, Huangming Xie, Jike Chong, Meng Meng
2018 Misc conf
Attentive Contextual Denoising Autoencoder for Recommendation.
ICTIR
Yogesh Jhamb, Travis Ebesu, Yi Fang
2018 A* conf
Collaborative Memory Network for Recommendation Systems.
SIGIR
Travis Ebesu, Bin Shen, Yi Fang
2018 J jnl
Collaborative Memory Network for Recommendation Systems.
CoRR
Travis Ebesu, Bin Shen, Yi Fang
2018 A* conf
Deep Semantic Text Hashing with Weak Supervision.
SIGIR
Suthee Chaidaroon, Travis Ebesu, Yi Fang
2018 J jnl
Fault-tolerant tile mining.
Expert Syst. Appl.
Haibing Lu, Wendong Zhu, Joseph Phan, Manoochehr Ghiassi, Yi Fang, Yuan Hong, Xiaoyun He
2017 J jnl
A dual-perspective latent factor model for group-aware social event recommendation.
Inf. Process. Manag.
Yogesh Jhamb, Yi Fang
2017 J jnl
Cost-Effective Online Trending Topic Detection and Popularity Prediction in Microblogging.
ACM Trans. Inf. Syst.
Zhongchen Miao, Kai Chen, Yi Fang, Jianhua He, Yi Zhou, Wenjun Zhang, Hongyuan Zha
2017 A* conf
Neural Citation Network for Context-Aware Citation Recommendation.
SIGIR
Travis Ebesu, Yi Fang
2017 J jnl
Neural Semantic Personalized Ranking for item cold-start recommendation.
Inf. Retr. J.
Travis Ebesu, Yi Fang
2017 J jnl
Product review summarization through question retrieval and diversification.
Inf. Retr. J.
Mengwen Liu, Yi Fang, Alexander G. Choulos, Dae Hoon Park, Xiaohua Hu
2017 A* conf
Variational Deep Semantic Hashing for Text Documents.
SIGIR
Suthee Chaidaroon, Yi Fang
2017 J jnl
Variational Deep Semantic Hashing for Text Documents.
CoRR
Suthee Chaidaroon, Yi Fang
2017 J jnl
Which used product is more sellable? A time-aware approach.
Inf. Retr. J.
Mengwen Liu, Wanying Ding, Dae Hoon Park, Yi Fang, Rui Yan, Xiaohua Hu
2016 Misc conf
A Unified Energy-based Framework for Learning to Rank.
ICTIR
Yi Fang, Mengwen Liu
2016 Misc conf
A Utility Maximization Framework for Privacy Preservation of User Generated Content.
ICTIR
Yi Fang, Archana Godavarthy, Haibing Lu
2016 Misc conf
Cross-Language Microblog Retrieval using Latent Semantic Modeling.
ICTIR
Archana Godavarthy, Yi Fang
2016 A conf
DDTA 2016: The Workshop on Data-Driven Talent Acquisition.
CIKM
Yi Fang, Maarten de Rijke, Huangming Xie
2016 A conf
Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text.
CIKM
Dae Hoon Park, Yi Fang, Mengwen Liu, ChengXiang Zhai
2016 A* conf
Retrieving Non-Redundant Questions to Summarize a Product Review.
SIGIR
Mengwen Liu, Yi Fang, Dae Hoon Park, Xiaohua Hu, Zhengtao Yu
2015 J jnl
Related entity finding by unified probabilistic models.
World Wide Web
Yi Fang, Luo Si
2015 A* conf
SP-SVM: Large Margin Classifier for Data on Multiple Manifolds.
AAAI
Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach
2014 J jnl
Collaborative Language Models for Localized Query Prediction.
ACM Trans. Interact. Intell. Syst.
Yi Fang, Ziad Al Bawab, Jean-François Crespo
2014 B conf
Dynamic Workflow Adjustment with Security Constraints.
DBSec
Haibing Lu, Yuan Hong, Yanjiang Yang, Yi Fang, Lian Duan
2014 A* conf
Modeling the dynamics of personal expertise.
SIGIR
Yi Fang, Archana Godavarthy
2014 A* conf
Where not to go?: detecting road hazards using twitter.
SIGIR
Avinash Kumar, Miao Jiang, Yi Fang
2013 — conf
A Pattern Matching Approach to Streaming Slot Filling.
TREC
Hung Nguyen, Yi Fang, Sandhya Gade, Vijay Mysore, Juan Hu, Sabita Pandit, Aparna Srinivasan, Miao Jiang
2013 A conf
Topical authority propagation on microblogs.
CIKM
Juan Hu, Yi Fang, Archana Godavarthy
2012 A conf
A latent pairwise preference learning approach for recommendation from implicit feedback.
CIKM
Yi Fang, Luo Si
2012 A* conf
Emotion tagging for comments of online news by meta classification with heterogeneous information sources.
SIGIR
Ying Zhang, Yi Fang, Xiaojun Quan, Lin Dai, Luo Si, Xiaojie Yuan
2012 J jnl
Expertise Retrieval.
Found. Trends Inf. Retr.
Krisztian Balog, Yi Fang, Maarten de Rijke, Pavel Serdyukov, Luo Si
2012 A conf
Mining contrastive opinions on political texts using cross-perspective topic model.
WSDM
Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu
2012 — —
Probabilistic approaches to entity retrieval
Yi Fang
2011 A* conf
Analysis of an expert search query log.
SIGIR
Yi Fang, Naveen Somasundaram, Luo Si, Jeongwoo Ko, Aditya P. Mathur
2011 J jnl
Discriminative probabilistic models for expert search in heterogeneous information sources.
Inf. Retr.
Yi Fang, Luo Si, Aditya P. Mathur
2011 J jnl
Enhanced predictions of wood properties using hybrid models of PCR and PLS with high-dimensional NIR spectral data.
Ann. Oper. Res.
Yi Fang, Jong In Park, Young-Seon Jeong, Myong K. Jeong, Seung H. Baek, Hyun-Woo Cho
2011 A* conf
Identifying similar people in professional social networks with discriminative probabilistic models.
SIGIR
Suleyman Cetintas, Monica Rogati, Luo Si, Yi Fang
2011 — conf
Matrix co-factorization for recommendation with rich side information and implicit feedback.
HetRec@RecSys
Yi Fang, Luo Si
2010 J jnl
Discriminative graphical models for faculty homepage discovery.
Inf. Retr.
Yi Fang, Luo Si, Aditya P. Mathur
2010 A* conf
Discriminative models of integrating document evidence and document-candidate associations for expert search.
SIGIR
Yi Fang, Luo Si, Aditya P. Mathur
2010 — conf
Purdue at TREC 2010 Entity Track: A Probabilistic Framework for Matching Types Between Candidate and Target Entities.
TREC
Yi Fang, Luo Si, Naveen Somasundaram, Salman Al-Ansari, Zhengtao Yu, Yantuan Xian
2009 — conf
Entity Retrieval with Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers.
TREC
Yi Fang, Luo Si, Zhengtao Yu, Yantuan Xian, Yangbo Xu
2008 J jnl
Combining gene sequence similarity and textual information for gene function annotation in the literature.
Inf. Retr.
Luo Si, Danni Yu, Daisuke Kihara, Yi Fang
2008 — conf
Incremental Anomaly Detection Approach for Characterizing Unusual Profiles.
KDD Workshop on Knowledge Discovery from Sensor Data
Yi Fang, Olufemi A. Omitaomu, Auroop R. Ganguly
2008 J jnl
Robust Probabilistic Multivariate Calibration Model.
Technometrics
Yi Fang, Myong K. Jeong
2006 A conf
Health monitoring of a shaft transmission system via hybrid models of PCR and PLS.
SDM
Yi Fang, Hyun-Woo Cho, Myong Kee Jeong
2006 — conf
Online change detection: Monitoring land cover from remotely sensed data.
ICDM Workshops
Yi Fang, Auroop R. Ganguly, Nagendra Singh, Veeraraghavan Vijayaraj, Neal Feierabend, David T. Potere