Honglei Zhuang

Orcid: 0000-0001-8134-1509

According to our database1, Honglei Zhuang authored at least 61 papers between 2011 and 2024.

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Bibliography

2024
Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers.
CoRR, 2024

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing.
CoRR, 2024

A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

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

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels.
CoRR, 2023

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

RD-Suite: A Benchmark for Ranking Distillation.
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

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

How Does Generative Retrieval Scale to Millions of Passages?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

2022
Retrieval Augmentation for T5 Re-ranker using External Sources.
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

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

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

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

Interpretable Ranking with Generalized Additive Models.
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
What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher's Performance in Online Education.
CoRR, 2020

RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble.
CoRR, 2020

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

DyCRS: Dynamic Interpretable Postoperative Complication Risk Scoring.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Separate and Attend in Personal Email Search.
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

Joint Aspect-Sentiment Analysis with Minimal User Guidance.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 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

Mining Text Outliers in Document Directories.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Adaptive Double-Exploration Tradeoff for Outlier Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Text mining with word embedding for outlier and sentiment analysis
PhD thesis, 2019

Aspect-Based Sentiment Analysis with Minimal Guidance.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Spherical Text Embedding.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams.
ACM Trans. Intell. Syst. Technol., 2018

2017
Identifying Outlier Arms in Multi-Armed Bandit.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Identifying Semantically Deviating Outlier Documents.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Multi-Dimensional, Phrase-Based Summarization in Text Cubes.
IEEE Data Eng. Bull., 2016

Knowledge Fragment Enrichment Using Domain Knowledge Base.
Proceedings of the Social Media Processing - 5th National Conference, 2016

GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015
Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Debiasing Crowdsourced Batches.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Query-Based Outlier Detection in Heterogeneous Information Networks.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

2014
Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Role-Aware Conformity Modeling and Analysis in Social Networks.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
SAE: social analytic engine for large networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Influence Maximization in Dynamic Social Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Actively learning to infer social ties.
Data Min. Knowl. Discov., 2012

Inferring Geographic Coincidence in Ephemeral Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
Learning to Infer Social Ties in Large Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011


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