Zhen Qin

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 66

Top Venues

University of California, Riverside, USA (PHD)

Education History

University of California, Riverside, USA

PHD

Publications

Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. ACL (1) (2024)
Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky
Multilingual Fine-Grained News Headline Hallucination Detection. CoRR (2024)
Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. KDD (2024)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. ACL (Findings) (2024)
Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
Predicting Text Preference Via Structured Comparative Reasoning. ACL (1) (2024)
Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky
Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. CoRR (2024)
Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. CoRR (2024)
Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. CoRR (2024)
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
PaRaDe: Passage Ranking using Demonstrations with Large Language Models. CoRR (2023)
Rolf Jagerman, Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky
Query Expansion by Prompting Large Language Models. CoRR (2023)
Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
Learning List-Level Domain-Invariant Representations for Ranking. NeurIPS (2023)
Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers. CoRR (2023)
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
PaRaDe: Passage Ranking using Demonstrations with LLMs. EMNLP (Findings) (2023)
Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. CoRR (2023)
Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Yao Zhao, Charu Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. CoRR (2023)
Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. SIGIR (2023)
Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. CoRR (2023)
Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
RD-Suite: A Benchmark for Ranking Distillation. CoRR (2023)
Le Yan, Zhen Qin, Gil I. Shamir, Dong Lin, Xuanhui Wang, Mike Bendersky
Learning to Rank when Grades Matter. CoRR (2023)
Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD (2023)
Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM (2023)
Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. CoRR (2023)
Aijun Bai, Rolf Jagerman, Zhen Qin, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
Regression Compatible Listwise Objectives for Calibrated Ranking. CoRR (2022)
Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cícero Nogueira dos Santos, Yi Tay, Donald Metzler
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. ACL (Findings) (2022)
Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
Transformer Memory as a Differentiable Search Index. CoRR (2022)
Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
Scale Calibration of Deep Ranking Models. KDD (2022)
Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
Learning List-Level Domain-Invariant Representations for Ranking. CoRR (2022)
Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR (2022)
Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
Transformer Memory as a Differentiable Search Index. NeurIPS (2022)
Kai Hui, Tao Chen, Zhen Qin, Honglei Zhuang, Fernando Diaz, Mike Bendersky, Don Metzler
Retrieval Augmentation for T5 Re-ranker using External Sources. CoRR (2022)
Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. CoRR (2022)
Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
On Optimizing Top-K Metrics for Neural Ranking Models. SIGIR (2022)
Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cícero Nogueira dos Santos, Yi Tay, Don Metzler
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. CoRR (2022)
Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork
Rax: Composable Learning-to-Rank Using JAX. KDD (2022)
Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. ICLR (2022)
Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. CoRR (2022)
Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Born Again Neural Rankers. CoRR (2021)
Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. WSDM (2021)
Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky
Diversification-Aware Learning to Rank using Distributed Representation. WWW (2021)
Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork
Bootstrapping Recommendations at Chrome Web Store. KDD (2021)
Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork
Improving Cloud Storage Search with User Activity. WSDM (2021)
Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Vamsi Aribandi, Dara Bahri, Zhen Qin, Donald Metzler
Are Pretrained Convolutions Better than Pretrained Transformers? ACL/IJCNLP (1) (2021)
Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR (2021)
Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Dara Bahri, Vamsi Aribandi, Zhen Qin, Donald Metzler
Are Pre-trained Convolutions Better than Pre-trained Transformers? CoRR (2021)
Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. CoRR (2021)
Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
OmniNet: Omnidirectional Representations from Transformers. CoRR (2021)
Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR (2021)
Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork
Ensemble Distillation for BERT-Based Ranking Models. ICTIR (2021)
Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
OmniNet: Omnidirectional Representations from Transformers. ICML (2021)
Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen
Cross-Positional Attention for Debiasing Clicks. WWW (2021)
Ruilin Li, Zhen Qin, Xuanhui Wang, Suming J. Chen, Donald Metzler
Stabilizing Neural Search Ranking Models. WWW (2020)
Zhen Qin, Zhongliang Li, Michael Bendersky, Donald Metzler
Matching Cross Network for Learning to Rank in Personal Search. WWW (2020)
Zhen Qin, Yicheng Cheng, Zhe Zhao, Zhe Chen, Donald Metzler, Jingzheng Qin
Multitask Mixture of Sequential Experts for User Activity Streams. KDD (2020)
Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler
Parameter Tuning in Personal Search Systems. WSDM (2020)
Suming J. Chen, Zhen Qin, Zac Wilson, Brian Calaci, Michael Rose, Ryan Evans, Sean Abraham, Donald Metzler, Sandeep Tata, Mike Colagrosso
Improving Recommendation Quality in Google Drive. KDD (2020)
Zhen Qin, Suming J. Chen, Donald Metzler, Yongwoo Noh, Jingzheng Qin, Xuanhui Wang
Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. KDD (2020)
Ang Li, Suming J. Chen, Jingzheng Qin, Zhen Qin
Training Machine Learning Models With Causal Logic. WWW (Companion Volume) (2020)
Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. KDD (2019)
Jai Prakash Gupta, Zhen Qin, Michael Bendersky, Donald Metzler
Personalized Online Spell Correction for Personal Search. WWW (2019)
Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CIKM (2018)
Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CoRR (2018)
Le An, Zhen Qin, Xiaojing Chen, Songfan Yang
Multi-Level Common Space Learning for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 28 (8) (2018)
Christian R. Shelton, Zhen Qin, Chandini Shetty
Hawkes Process Inference With Missing Data. AAAI (2018)
Zhen Qin, Christian R. Shelton
Event Detection in Continuous Video: An Inference in Point Process Approach. IEEE Trans. Image Process. 26 (12) (2017)
Xiaojing Chen, Zhen Qin, Le An, Bir Bhanu
Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context. IEEE Trans. Circuits Syst. Video Technol. 26 (12) (2016)
Zhen Qin, Christian R. Shelton
Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video. IEEE Trans. Pattern Anal. Mach. Intell. 38 (10) (2016)
Zhen Qin, Christian R. Shelton
Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models. UAI (2015)
Xiaojing Chen, Zhen Qin, Le An, Bir Bhanu
An Online Learned Elementary Grouping Model for Multi-target Tracking. CVPR (2014)
Lunshao Chai, Zhen Qin, Qun Li, Honggang Zhang, Jun Guo
Ordered histogram of shapemes: An ordered bag-of-features based shape descriptor for efficient shape matching. ICIP (2013)
Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Bir Bhanu
MFSC: A new shape descriptor with robustness to deformations. ICME Workshops (2013)
Qun Li, Zhen Qin, Lunshao Chai, Honggang Zhang, Jun Guo, Bir Bhanu
Representative reference-set and betweenness centrality for scene image categorization. ICIP (2013)
Zhen Qin, Christian R. Shelton, Lunshao Chai
Social grouping for target handover in multi-view video. ICME (2013)
Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Bir Bhanu
A new multi-scale fuzzy model for Histogram-Based Descriptors. ICME Workshops (2013)
Zhen Qin, Christian R. Shelton
Improving multi-target tracking via social grouping. CVPR (2012)
Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Christian R. Shelton
Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval. ICIP (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhen Qin