Yi Fang

Orcid: 0000-0001-6572-4315

Affiliations:
  • Santa Clara University, Department of Computer Science and Engineering, Santa Clara, CA, USA
  • Purdue University, West Lafayette, IN, USA (PhD 2012)


According to our database1, Yi Fang authored at least 98 papers between 2006 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Towards Sample-Efficient and Stable Reinforcement Learning for LLM-based Recommendation.
CoRR, February, 2026

Submodular Evaluation Subset Selection in Automatic Prompt Optimization.
CoRR, January, 2026

2025
Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers.
CoRR, July, 2025

Strategic XFC Charging Station Placement in Equilibrium Traffic Networks.
IEEE Trans. Intell. Transp. Syst., April, 2025

Evaluating Social Biases in LLM Reasoning.
CoRR, February, 2025

A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics.
CoRR, February, 2025

Meta-Learning to Rank for Sparsely Supervised Queries.
ACM Trans. Inf. Syst., January, 2025

Diffusion Models in Recommendation Systems: A Survey.
CoRR, January, 2025

Measuring Large Language Models Capacity to Annotate Journalistic Sourcing.
CoRR, January, 2025

Soft prompt tuning for augmenting dense retrieval with large language models.
Knowl. Based Syst., 2025

Semi-supervised named entity recognition with data augmentation by structured consistency training.
Expert Syst. Appl., 2025

Multimodal deep learning for enhanced breast cancer diagnosis on sonography.
Comput. Biol. Medicine, 2025

Fairness-Aware Race and Ethnicity Detection From Names.
IEEE Access, 2025

ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

RaCT: Ranking-aware Chain-of-Thought Optimization for LLMs.
Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering.
Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, 2025

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning.
IEEE Trans. Knowl. Data Eng., September, 2024

Table Transformers for imputing textual attributes.
Pattern Recognit. Lett., 2024

Supervised probabilistic latent semantic analysis with applications to controversy analysis of legislative bills.
Intell. Data Anal., 2024

Fairness in Search Systems.
Found. Trends Inf. Retr., 2024

ChainRank-DPO: Chain Rank Direct Preference Optimization for LLM Rankers.
CoRR, 2024

CLERF: Contrastive LEaRning for Full Range Head Pose Estimation.
CoRR, 2024

RAG-ConfusionQA: A Benchmark for Evaluating LLMs on Confusing Questions.
CoRR, 2024

Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications.
CoRR, 2024

Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models.
CoRR, 2024

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models.
CoRR, 2024

Mathematical Foundation and Corrections for Full Range Head Pose Estimation.
CoRR, 2024

Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AMD: Automatic Multi-step Distillation of Large-Scale Vision Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models.
CoRR, 2023

A Submodular Optimization Framework for Imbalanced Text Classification With Data Augmentation.
IEEE Access, 2023

AMICA: Alleviating Misinformation for Chinese Americans.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Entity-aware Multi-task Learning for Query Understanding at Walmart.
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.
Inf. Retr. J., 2022

A Multi-task Learning Framework for Product Ranking with BERT.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Deep Partial Multiplex Network Embedding.
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.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Meta-learning Approach to Fair Ranking.
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.
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.
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.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Game Theoretic Approach to Extreme Fast Charging Location.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Multi-label Classification of Short Texts with Label Correlated Recurrent Neural Networks.
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.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
node2hash: Graph aware deep semantic text hashing.
Inf. Process. Manag., 2020

Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
User click prediction for personalized job recommendation.
World Wide Web, 2019

Neural Compatibility Ranking for Text-based Fashion Matching.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018
Fault-tolerant tile mining.
Expert Syst. Appl., 2018

Collaborative Memory Network for Recommendation Systems.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Deep Semantic Text Hashing with Weak Supervision.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Attentive Contextual Denoising Autoencoder for Recommendation.
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.
ACM Trans. Inf. Syst., 2017

Product review summarization through question retrieval and diversification.
Inf. Retr. J., 2017

Which used product is more sellable? A time-aware approach.
Inf. Retr. J., 2017

Neural Semantic Personalized Ranking for item cold-start recommendation.
Inf. Retr. J., 2017

A dual-perspective latent factor model for group-aware social event recommendation.
Inf. Process. Manag., 2017

Neural Citation Network for Context-Aware Citation Recommendation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Variational Deep Semantic Hashing for Text Documents.
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.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Cross-Language Microblog Retrieval using Latent Semantic Modeling.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

A Unified Energy-based Framework for Learning to Rank.
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.
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.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

DDTA 2016: The Workshop on Data-Driven Talent Acquisition.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Related entity finding by unified probabilistic models.
World Wide Web, 2015

SP-SVM: Large Margin Classifier for Data on Multiple Manifolds.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Collaborative Language Models for Localized Query Prediction.
ACM Trans. Interact. Intell. Syst., 2014

Where not to go?: detecting road hazards using twitter.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Modeling the dynamics of personal expertise.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Dynamic Workflow Adjustment with Security Constraints.
Proceedings of the Data and Applications Security and Privacy XXVIII, 2014

2013
A Pattern Matching Approach to Streaming Slot Filling.
Proceedings of The Twenty-Second Text REtrieval Conference, 2013

Topical authority propagation on microblogs.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Probabilistic approaches to entity retrieval
PhD thesis, 2012

Expertise Retrieval.
Found. Trends Inf. Retr., 2012

Mining contrastive opinions on political texts using cross-perspective topic model.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Emotion tagging for comments of online news by meta classification with heterogeneous information sources.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

A latent pairwise preference learning approach for recommendation from implicit feedback.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Discriminative probabilistic models for expert search in heterogeneous information sources.
Inf. Retr., 2011

Enhanced predictions of wood properties using hybrid models of PCR and PLS with high-dimensional NIR spectral data.
Ann. Oper. Res., 2011

Analysis of an expert search query log.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Identifying similar people in professional social networks with discriminative probabilistic models.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Matrix co-factorization for recommendation with rich side information and implicit feedback.
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, 2011

2010
Discriminative graphical models for faculty homepage discovery.
Inf. Retr., 2010

Purdue at TREC 2010 Entity Track: A Probabilistic Framework for Matching Types Between Candidate and Target Entities.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

Discriminative models of integrating document evidence and document-candidate associations for expert search.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

2009
Entity Retrieval with Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers.
Proceedings of The Eighteenth Text REtrieval Conference, 2009

2008
Robust Probabilistic Multivariate Calibration Model.
Technometrics, 2008

Combining gene sequence similarity and textual information for gene function annotation in the literature.
Inf. Retr., 2008

Incremental Anomaly Detection Approach for Characterizing Unusual Profiles.
Proceedings of the Knowledge Discovery from Sensor Data, 2008

2006
Health monitoring of a shaft transmission system via hybrid models of PCR and PLS.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Online change detection: Monitoring land cover from remotely sensed data.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006


  Loading...