Zhen Qin

Orcid: 0000-0001-6739-134X

Affiliations:
  • Google, Mountain View, CA, USA
  • University of California, Riverside, Computer Science and Engineering Department, USA (PhD 2015)


According to our database1, Zhen Qin authored at least 60 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

On What Basis? Predicting Text Preference Via Structured Comparative Reasoning.
CoRR, 2023

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning.
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

Learning to Rank when Grades Matter.
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

Towards Disentangling Relevance and Bias in Unbiased Learning to Rank.
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
Regression Compatible Listwise Objectives for Calibrated Ranking.
CoRR, 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

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

Transformer Memory as a Differentiable Search Index.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization.
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

Are Pre-trained Convolutions Better than Pre-trained Transformers?
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

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

Improving Cloud Storage Search with User Activity.
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

OmniNet: Omnidirectional Representations from Transformers.
Proceedings of the 38th International Conference on Machine Learning, 2021

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

Are Pretrained Convolutions Better than Pretrained Transformers?
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Matching Cross Network for Learning to Rank in Personal Search.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

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

Training Machine Learning Models With Causal Logic.
Proceedings of the Companion of The 2020 Web Conference 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

Multitask Mixture of Sequential Experts for User Activity Streams.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Improving Recommendation Quality in Google Drive.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Personalized Online Spell Correction for Personal Search.
Proceedings of the World Wide Web Conference, 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

2018
Multi-Level Common Space Learning for Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2018

Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Hawkes Process Inference With Missing Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Event Detection in Continuous Video: An Inference in Point Process Approach.
IEEE Trans. Image Process., 2017

2016
Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context.
IEEE Trans. Circuits Syst. Video Technol., 2016

Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015
Modeling Social and Temporal Context for Video Analysis.
PhD thesis, 2015

Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2014
An Online Learned Elementary Grouping Model for Multi-target Tracking.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Social grouping for target handover in multi-view video.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

MFSC: A new shape descriptor with robustness to deformations.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

A new multi-scale fuzzy model for Histogram-Based Descriptors.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Representative reference-set and betweenness centrality for scene image categorization.
Proceedings of the IEEE International Conference on Image Processing, 2013

Ordered histogram of shapemes: An ordered bag-of-features based shape descriptor for efficient shape matching.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Improving multi-target tracking via social grouping.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012


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