Xuanhui Wang

Orcid: 0009-0000-1388-1423

According to our database1, Xuanhui Wang authored at least 110 papers between 2003 and 2024.

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Bibliography

2024
Integrating Planning into Single-Turn Long-Form Text Generation.
CoRR, 2024

Inference Scaling for Long-Context Retrieval Augmented Generation.
CoRR, 2024

LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification.
CoRR, 2024

LiPO: Listwise Preference Optimization through Learning-to-Rank.
CoRR, 2024

Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers.
CoRR, 2023

PaRaDe: Passage Ranking using Demonstrations with Large Language Models.
CoRR, 2023

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.
CoRR, 2023

Learning to Rank when Grades Matter.
CoRR, 2023

Query Expansion by Prompting Large Language Models.
CoRR, 2023

RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Metric-agnostic Ranking Optimization.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning List-Level Domain-Invariant Representations for Ranking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RD-Suite: A Benchmark for Ranking Distillation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Disentangling Relevance and Bias in Unbiased Learning to Rank.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

LibAUC: A Deep Learning Library for X-Risk Optimization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PaRaDe: Passage Ranking using Demonstrations with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
An improved Faster R-CNN model for multi-object tomato maturity detection in complex scenarios.
Ecol. Informatics, 2022

Regression Compatible Listwise Objectives for Calibrated Ranking.
CoRR, 2022

Revisiting Two-tower Models for Unbiased Learning to Rank.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

On Optimizing Top-K Metrics for Neural Ranking Models.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Scale Calibration of Deep Ranking Models.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Rax: Composable Learning-to-Rank Using JAX.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

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

2021
Search and Discovery in Personal Email Collections.
Found. Trends Inf. Retr., 2021

Rank4Class: A Ranking Formulation for Multiclass Classification.
CoRR, 2021

Born Again Neural Rankers.
CoRR, 2021

Distilling Interpretable Models into Human-Readable Code.
CoRR, 2021

Cross-Positional Attention for Debiasing Clicks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Diversification-Aware Learning to Rank using Distributed Representation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Interpretable Ranking with Generalized Additive Models.
Proceedings of the WSDM '21, 2021

Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction.
Proceedings of the WSDM '21, 2021

Bootstrapping Recommendations at Chrome Web Store.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Ensemble Distillation for BERT-Based Ranking Models.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Unbiased Learning to Rank via Propensity Ratio Scoring.
CoRR, 2020

Interpretable Learning-to-Rank with Generalized Additive Models.
CoRR, 2020

Learning-to-Rank with BERT in TF-Ranking.
CoRR, 2020

Stabilizing Neural Search Ranking Models.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Parameter Tuning in Personal Search Systems.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Feature Transformation for Neural Ranking Models.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Permutation Equivariant Document Interaction Network for Neural Learning to Rank.
Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020

2019
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking.
CoRR, 2019

Addressing Trust Bias for Unbiased Learning-to-Rank.
Proceedings of the World Wide Web Conference, 2019

Estimating Position Bias without Intrusive Interventions.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

2018
Learning Groupwise Scoring Functions Using Deep Neural Networks.
CoRR, 2018

Offline Comparison of Ranking Functions using Randomized Data.
CoRR, 2018

Position Bias Estimation for Unbiased Learning to Rank in Personal Search.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Learning with Sparse and Biased Feedback for Personal Search.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

The LambdaLoss Framework for Ranking Metric Optimization.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Situational Context for Ranking in Personal Search.
Proceedings of the 26th International Conference on World Wide Web, 2017

Learning from User Interactions in Personal Search via Attribute Parameterization.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016
Learning to Rank with Selection Bias in Personal Search.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015
CelebrityNet: A Social Network Constructed from Large-Scale Online Celebrity Images.
ACM Trans. Multim. Comput. Commun. Appl., 2015

2014
Bug characteristics in open source software.
Empir. Softw. Eng., 2014

2013
Towards Twitter context summarization with user influence models.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

2012
Bandits with Generalized Linear Models.
Proceedings of the Workshop on On-line Trading of Exploration and Exploitation 2, 2012

Coverage-based search result diversification.
Inf. Retr., 2012

Diversifying Search Results through Pattern-Based Subtopic Modeling.
Int. J. Semantic Web Inf. Syst., 2012

Model news relatedness through user comments.
Proceedings of the 21st World Wide Web Conference, 2012

Learning to rank with multi-aspect relevance for vertical search.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Impact of Spam Exposure on User Engagement.
Proceedings of the 21th USENIX Security Symposium, Bellevue, WA, USA, August 8-10, 2012, 2012

Vote calibration in community question-answering systems.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Personalized click shaping through lagrangian duality for online recommendation.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Multi-faceted ranking of news articles using post-read actions.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Modeling Perceived Relevance for Tail Queries without Click-Through Data
CoRR, 2011

Learning to model relatedness for news recommendation.
Proceedings of the 20th International Conference on World Wide Web, 2011

Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Learning to re-rank web search results with multiple pairwise features.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Click shaping to optimize multiple objectives.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

An exploration of pattern-based subtopic modeling for search result diversification.
Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011

2010
University of Delaware at Diverstiy Task of Web Track 2010.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

2009
Improving Web Search for Difficult Queries
PhD thesis, 2009

Massive Implicit Feedback: Organizing Search Logs into Topic Maps for Collaborative Surfing.
Proceedings of the Workshop on Understanding the User, 2009

Mining broad latent query aspects from search sessions.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Locality Preserving Nonnegative Matrix Factorization.
Proceedings of the IJCAI 2009, 2009

Probabilistic dyadic data analysis with local and global consistency.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Beyond hyperlinks: organizing information footprints in search logs to support effective browsing.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
DirichletRank: Solving the zero-one gap problem of PageRank.
ACM Trans. Inf. Syst., 2008

A study of methods for negative relevance feedback.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Mining term association patterns from search logs for effective query reformulation.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Instant Web Retrieval for Instance-Attribute Queries.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Learn from web search logs to organize search results.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Mining correlated bursty topic patterns from coordinated text streams.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Detect and Track Latent Factors with Online Nonnegative Matrix Factorization.
Proceedings of the IJCAI 2007, 2007

Shine: search heterogeneous interrelated entities.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Improve retrieval accuracy for difficult queries using negative feedback.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

2006
Mining clickthrough data for collaborative web search.
Proceedings of the 15th international conference on World Wide Web, 2006

CWS: a comparative web search system.
Proceedings of the 15th international conference on World Wide Web, 2006

Latent semantic analysis for multiple-type interrelated data objects.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Language Model Information Retrieval with Document Expansion.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Subjectivity Categorization of Weblog with Part-of-Speech Based Smoothing.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Have things changed now?: an empirical study of bug characteristics in modern open source software.
Proceedings of the 1st Workshop on Architectural and System Support for Improving Software Dependability, 2006

2005
UIUC/MUSC at TREC 2005 Genomics Track.
Proceedings of the Fourteenth Text REtrieval Conference, 2005

Dirichlet PageRank.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Accurate language model estimation with document expansion.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

2004
Web page clustering enhanced by summarization.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

2003
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003


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