Multi-feature content-based product image retrieval based on region of main object. - Lunshao Chai; Honggang Zhang 002; Zhen Qin 001; Jie Yu; Yonggang Qi (ICICS, 2011)

Improving multi-target tracking via social grouping. - Zhen Qin 001; Christian R. Shelton (CVPR, 2012)

Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval. - Lunshao Chai; Zhen Qin 001; Honggang Zhang 002; Jun Guo 002; Christian R. Shelton (ICIP, 2012)

Ordered histogram of shapemes: An ordered bag-of-features based shape descriptor for efficient shape matching. - Lunshao Chai; Zhen Qin 001; Qun Li 002; Honggang Zhang 002; Jun Guo 002 (ICIP, 2013)

Representative reference-set and betweenness centrality for scene image categorization. - Qun Li 002; Zhen Qin 001; Lunshao Chai; Honggang Zhang 002; Jun Guo 002; Bir Bhanu (ICIP, 2013)

A new multi-scale fuzzy model for Histogram-Based Descriptors. - Lunshao Chai; Zhen Qin 001; Honggang Zhang 002; Jun Guo 002; Bir Bhanu (ICME Workshops, 2013)

MFSC: A new shape descriptor with robustness to deformations. - Lunshao Chai; Zhen Qin 001; Honggang Zhang 002; Jun Guo 002; Bir Bhanu (ICME Workshops, 2013)

Social grouping for target handover in multi-view video. - Zhen Qin 001; Christian R. Shelton; Lunshao Chai (ICME, 2013)

Unsupervised Sentiment-Bearing Feature Selection for Document-Level Sentiment Classification. - Yan Li 035; Zhen Qin 001; Weiran Xu; Heng Ji; Jun Guo 002 (IEICE Trans. Inf. Syst., 2013)

An Online Learned Elementary Grouping Model for Multi-target Tracking. - Xiaojing Chen; Zhen Qin 001; Le An; Bir Bhanu (CVPR, 2014)

Documents clustering based on max-correntropy nonnegative matrix factorization. - Le Li; Jianjun Yang; Yang Xu; Zhen Qin 001; Honggang Zhang 002 (ICMLC, 2014)

Confidence Estimation and Reputation Analysis in Aspect Extraction. - Yan Li 035; Hui Wang; Zhen Qin 001; Weiran Xu; Jun Guo 002 (ICPR, 2014)

Document Clustering Based On Max-Correntropy Non-Negative Matrix Factorization. - Le Li; Jianjun Yang; Yang Xu; Zhen Qin 001; Honggang Zhang 002 (CoRR, 2014)

Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models. - Zhen Qin 001; Christian R. Shelton (UAI, 2015)

Improving tag matrix completion for image annotation and retrieval. - Zhen Qin 001; Chun-Guang Li; Honggang Zhang 002; Jun Guo 002 (VCIP, 2015)

A holistic model of mining product aspects and associated sentiments from online reviews. - Yan Li 035; Zhen Qin 001; Weiran Xu; Jun Guo 002 (Multim. Tools Appl., 2015)

Modeling Social and Temporal Context for Video Analysis. - Zhen Qin 001 (2015)

Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video. - Zhen Qin 001; Christian R. Shelton (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context. - Xiaojing Chen; Zhen Qin 001; Le An; Bir Bhanu (IEEE Trans. Circuits Syst. Video Technol., 2016)

Event Detection in Continuous Video: An Inference in Point Process Approach. - Zhen Qin 001; Christian R. Shelton (IEEE Trans. Image Process., 2017)

Hawkes Process Inference With Missing Data. - Christian R. Shelton; Zhen Qin 001; Chandini Shetty (AAAI, 2018)

Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. - Jiaming Shen; Maryam Karimzadehgan; Michael Bendersky; Zhen Qin 001; Donald Metzler (CIKM, 2018)

Multi-Level Common Space Learning for Person Re-Identification. - Le An; Zhen Qin 001; Xiaojing Chen; Songfan Yang (IEEE Trans. Circuits Syst. Video Technol., 2018)

Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. - Pan Li 005; Zhen Qin 001; Xuanhui Wang; Donald Metzler (KDD, 2019)

Personalized Online Spell Correction for Personal Search. - Jai Prakash Gupta 001; Zhen Qin 001; Michael Bendersky; Donald Metzler (WWW, 2019)

Making Deep Neural Networks Robust to Label Noise: Cross-Training With a Novel Loss Function. - Zhen Qin 001; Zhengwen Zhang; Yan Li 035; Jun Guo 002 (IEEE Access, 2019)

Improving Recommendation Quality in Google Drive. - Suming J. Chen; Zhen Qin 001; Zac Wilson; Brian Calaci; Michael Rose; Ryan Evans; Sean Abraham; Donald Metzler; Sandeep Tata; Mike Colagrosso (KDD, 2020)

Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. - Zhen Qin 001; Suming J. Chen; Donald Metzler; Yongwoo Noh; Jingzheng Qin; Xuanhui Wang (KDD, 2020)

Multitask Mixture of Sequential Experts for User Activity Streams. - Zhen Qin 001; Yicheng Cheng; Zhe Zhao 001; Zhe Chen; Donald Metzler; Jingzheng Qin (KDD, 2020)

Parameter Tuning in Personal Search Systems. - Suming J. Chen; Xuanhui Wang; Zhen Qin 001; Donald Metzler (WSDM, 2020)

Training Machine Learning Models With Causal Logic. - Ang Li 009; Suming J. Chen; Jingzheng Qin; Zhen Qin 001 (WWW (Companion Volume), 2020)

Stabilizing Neural Search Ranking Models. - Ruilin Li; Zhen Qin 001; Xuanhui Wang; Suming J. Chen; Donald Metzler (WWW, 2020)

Matching Cross Network for Learning to Rank in Personal Search. - Zhen Qin 001; Zhongliang Li; Michael Bendersky; Donald Metzler (WWW, 2020)

Are Pretrained Convolutions Better than Pretrained Transformers? - Yi Tay; Mostafa Dehghani 001; Jai Prakash Gupta 001; Vamsi Aribandi; Dara Bahri; Zhen Qin 001; Donald Metzler (ACL/IJCNLP (1), 2021)

Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? - Zhen Qin 001; Le Yan; Honglei Zhuang; Yi Tay; Rama Kumar Pasumarthi; Xuanhui Wang; Michael Bendersky; Marc Najork (ICLR, 2021)

OmniNet: Omnidirectional Representations from Transformers. - Yi Tay; Mostafa Dehghani 001; Vamsi Aribandi; Jai Prakash Gupta 001; Philip Pham; Zhen Qin 001; Dara Bahri; Da-Cheng Juan; Donald Metzler (ICML, 2021)

Ensemble Distillation for BERT-Based Ranking Models. - Honglei Zhuang; Zhen Qin 001; Shuguang Han; Xuanhui Wang; Michael Bendersky; Marc Najork (ICTIR, 2021)

Bootstrapping Recommendations at Chrome Web Store. - Zhen Qin 001; Honglei Zhuang; Rolf Jagerman; Xinyu Qian; Po Hu; Dan Chary Chen; Xuanhui Wang; Michael Bendersky; Marc Najork (KDD, 2021)

Improving Cloud Storage Search with User Activity. - Rolf Jagerman; Weize Kong; Rama Kumar Pasumarthi; Zhen Qin 001; Michael Bendersky; Marc Najork (WSDM, 2021)

Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. - Nan Wang; Zhen Qin 001; Xuanhui Wang; Hongning Wang (WSDM, 2021)

Diversification-Aware Learning to Rank using Distributed Representation. - Le Yan; Zhen Qin 001; Rama Kumar Pasumarthi; Xuanhui Wang; Michael Bendersky (WWW, 2021)

Cross-Positional Attention for Debiasing Clicks. - Honglei Zhuang; Zhen Qin 001; Xuanhui Wang; Michael Bendersky; Xinyu Qian; Po Hu; Dan Chary Chen (WWW, 2021)

Are Pre-trained Convolutions Better than Pre-trained Transformers? - Yi Tay; Mostafa Dehghani 001; Jai Prakash Gupta 001; Dara Bahri; Vamsi Aribandi; Zhen Qin 001; Donald Metzler (CoRR, 2021)

Born Again Neural Rankers. - Zhen Qin 001; Le Yan; Yi Tay; Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Marc Najork (CoRR, 2021)

Rank4Class: A Ranking Formulation for Multiclass Classification. - Nan Wang; Zhen Qin 001; Le Yan; Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Marc Najork (CoRR, 2021)

ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. - Kai Hui 001; Honglei Zhuang; Tao Chen 008; Zhen Qin 001; Jing Lu; Dara Bahri; Ji Ma 004; Jai Prakash Gupta 001; Cícero Nogueira dos Santos; Yi Tay; Donald Metzler (ACL (Findings), 2022)

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. - Yi Tay; Vinh Q. Tran 002; Sebastian Ruder; Jai Prakash Gupta 001; Hyung Won Chung; Dara Bahri; Zhen Qin 001; Simon Baumgartner; Cong Yu 001; Donald Metzler (ICLR, 2022)

Rax: Composable Learning-to-Rank Using JAX. - Rolf Jagerman; Xuanhui Wang; Honglei Zhuang; Zhen Qin 001; Michael Bendersky; Marc Najork (KDD, 2022)

Scale Calibration of Deep Ranking Models. - Le Yan; Zhen Qin 001; Xuanhui Wang; Michael Bendersky; Marc Najork (KDD, 2022)

Transformer Memory as a Differentiable Search Index. - Yi Tay; Vinh Tran 002; Mostafa Dehghani 001; Jianmo Ni; Dara Bahri; Harsh Mehta; Zhen Qin 001; Kai Hui 001; Zhe Zhao 001; Jai Prakash Gupta 001; Tal Schuster; William W. Cohen; et al. (NeurIPS, 2022)

On Optimizing Top-K Metrics for Neural Ranking Models. - Rolf Jagerman; Zhen Qin 001; Xuanhui Wang; Michael Bendersky; Marc Najork (SIGIR, 2022)

Revisiting Two-tower Models for Unbiased Learning to Rank. - Le Yan; Zhen Qin 001; Honglei Zhuang; Xuanhui Wang; Michael Bendersky; Marc Najork (SIGIR, 2022)

Retrieval Augmentation for T5 Re-ranker using External Sources. - Kai Hui 001; Tao Chen 008; Zhen Qin 001; Honglei Zhuang; Fernando Diaz 001; Mike Bendersky; Don Metzler (CoRR, 2022)

Regression Compatible Listwise Objectives for Calibrated Ranking. - Aijun Bai; Rolf Jagerman; Zhen Qin 001; Pratyush Kar; Bing-Rong Lin; Xuanhui Wang; Michael Bendersky; Marc Najork (CoRR, 2022)

Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. - Aijun Bai; Rolf Jagerman; Zhen Qin 001; Le Yan; Pratyush Kar; Bing-Rong Lin; Xuanhui Wang; Michael Bendersky; Marc Najork (CIKM, 2023)

PaRaDe: Passage Ranking using Demonstrations with LLMs. - Andrew Drozdov; Honglei Zhuang; Zhuyun Dai; Zhen Qin 001; Razieh Rahimi; Xuanhui Wang; Dana Alon; Mohit Iyyer; Andrew McCallum; Donald Metzler; Kai Hui 001 (EMNLP (Findings), 2023)

Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. - Yunan Zhang 001; Le Yan; Zhen Qin 001; Honglei Zhuang; Jiaming Shen; Xuanhui Wang; Michael Bendersky; Marc Najork (KDD, 2023)

RD-Suite: A Benchmark for Ranking Distillation. - Zhen Qin 001; Rolf Jagerman; Rama Kumar Pasumarthi; Honglei Zhuang; He Zhang; Aijun Bai; Kai Hui 001; Le Yan; Xuanhui Wang (NeurIPS, 2023)

Learning List-Level Domain-Invariant Representations for Ranking. - Ruicheng Xian; Honglei Zhuang; Zhen Qin 001; Hamed Zamani; Jing Lu; Ji Ma 004; Kai Hui 001; Han Zhao 002; Xuanhui Wang; Michael Bendersky (NeurIPS, 2023)

RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. - Honglei Zhuang; Zhen Qin 001; Rolf Jagerman; Kai Hui 001; Ji Ma 004; Jing Lu; Jianmo Ni; Xuanhui Wang; Michael Bendersky (SIGIR, 2023)

Query Expansion by Prompting Large Language Models. - Rolf Jagerman; Honglei Zhuang; Zhen Qin 001; Xuanhui Wang; Michael Bendersky (CoRR, 2023)

Learning to Rank when Grades Matter. - Le Yan; Zhen Qin 001; Gil I. Shamir; Dong Lin; Xuanhui Wang; Mike Bendersky (CoRR, 2023)

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. - Zhen Qin 001; Rolf Jagerman; Kai Hui 001; Honglei Zhuang; Junru Wu; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Donald Metzler; Xuanhui Wang; Michael Bendersky (CoRR, 2023)

PaRaDe: Passage Ranking using Demonstrations with Large Language Models. - Andrew Drozdov; Honglei Zhuang; Zhuyun Dai; Zhen Qin 001; Razieh Rahimi; Xuanhui Wang; Dana Alon; Mohit Iyyer; Andrew McCallum; Donald Metzler; Kai Hui 001 (CoRR, 2023)

On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. - Jing Nathan Yan; Tianqi Liu 002; Justin T. Chiu; Jiaming Shen; Zhen Qin 001; Yue Yu 001; Yao Zhao; Charu Lakshmanan; Yair Kurzion; Alexander M. Rush; Jialu Liu; Michael Bendersky (CoRR, 2023)

Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers. - Minghan Li 002; Honglei Zhuang; Kai Hui 001; Zhen Qin 001; Jimmy Lin; Rolf Jagerman; Xuanhui Wang; Michael Bendersky (CoRR, 2023)

Predicting Text Preference Via Structured Comparative Reasoning. - Jing Nathan Yan; Tianqi Liu 002; Justin T. Chiu; Jiaming Shen; Zhen Qin 001; Yue Yu 001; Charumathi Lakshmanan; Yair Kurzion; Alexander M. Rush; Jialu Liu; Michael Bendersky (ACL (1), 2024)

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. - Yue Yu 001; Jiaming Shen; Tianqi Liu 002; Zhen Qin 001; Jing Nathan Yan; Jialu Liu; Chao Zhang 014; Michael Bendersky (ACL (1), 2024)

PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. - Rongzhi Zhang; Jiaming Shen; Tianqi Liu 002; Haorui Wang; Zhen Qin 001; Feng Han; Jialu Liu; Simon Baumgartner; Michael Bendersky; Chao Zhang 014 (ACL (Findings), 2024)

Multilingual Fine-Grained News Headline Hallucination Detection. - Jiaming Shen; Tianqi Liu 002; Jialu Liu; Zhen Qin 001; Jay Pavagadhi; Simon Baumgartner; Michael Bendersky (EMNLP (Findings), 2024)

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. - Le Yan; Zhen Qin 001; Honglei Zhuang; Rolf Jagerman; Xuanhui Wang; Michael Bendersky; Harrie Oosterhuis (EMNLP, 2024)

Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. - Harrie Oosterhuis; Rolf Jagerman; Zhen Qin 001; Xuanhui Wang; Michael Bendersky (KDD, 2024)

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. - Zhen Qin 001; Rolf Jagerman; Kai Hui 001; Honglei Zhuang; Junru Wu; Le Yan; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Donald Metzler; Xuanhui Wang; Michael Bendersky (NAACL-HLT (Findings), 2024)

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. - Honglei Zhuang; Zhen Qin 001; Kai Hui 001; Junru Wu; Le Yan; Xuanhui Wang; Michael Bendersky (NAACL (Short Papers), 2024)

Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? - Minghan Li 002; Honglei Zhuang; Kai Hui 001; Zhen Qin 001; Jimmy Lin; Rolf Jagerman; Xuanhui Wang; Michael Bendersky (SIGIR, 2024)

Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. - Jiaming Shen; Ran Xu 002; Yennie Jun; Zhen Qin 001; Tianqi Liu 002; Carl Yang 001; Yi Liang; Simon Baumgartner; Michael Bendersky (CoRR, 2024)

LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification. - Zhen Qin 001; Junru Wu; Jiaming Shen; Tianqi Liu 002; Xuanhui Wang (CoRR, 2024)

RRM: Robust Reward Model Training Mitigates Reward Hacking. - Tianqi Liu 002; Wei Xiong 015; Jie Ren 006; Lichang Chen; Junru Wu; Rishabh Joshi; Yang Gao; Jiaming Shen; Zhen Qin 001; Tianhe Yu; Daniel Sohn; Anastasiia Makarova; et al. (CoRR, 2024)

Integrating Planning into Single-Turn Long-Form Text Generation. - Yi Liang; You Wu 001; Honglei Zhuang; Li Chen; Jiaming Shen; Yiling Jia; Zhen Qin 001; Sumit Sanghai; Xuanhui Wang; Carl Yang 001; Michael Bendersky (CoRR, 2024)

RRM: Robust Reward Model Training Mitigates Reward Hacking. - Tianqi Liu 002; Wei Xiong 015; Jie Ren 006; Lichang Chen; Junru Wu; Rishabh Joshi; Yang Gao; Jiaming Shen; Zhen Qin 001; Tianhe Yu; Daniel Sohn; Anastasia Makarova; et al. (ICLR, 2025)

Building Math Agents with Multi-Turn Iterative Preference Learning. - Wei Xiong 015; Chengshuai Shi; Jiaming Shen; Aviv Rosenberg 002; Zhen Qin 001; Daniele Calandriello; Misha Khalman; Rishabh Joshi; Bilal Piot; Mohammad Saleh; Chi Jin; Tong Zhang 001; et al. (ICLR, 2025)

Inference Scaling for Long-Context Retrieval Augmented Generation. - Zhenrui Yue; Honglei Zhuang; Aijun Bai; Kai Hui 001; Rolf Jagerman; Hansi Zeng; Zhen Qin 001; Dong Wang 002; Xuanhui Wang; Michael Bendersky (ICLR, 2025)

LiPO: Listwise Preference Optimization through Learning-to-Rank. - Tianqi Liu 002; Zhen Qin 001; Junru Wu; Jiaming Shen; Misha Khalman; Rishabh Joshi; Yao Zhao; Mohammad Saleh; Simon Baumgartner; Jialu Liu; Peter J. Liu; Xuanhui Wang (NAACL (Long Papers), 2025)

Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation. - Krisztian Balog; Don Metzler; Zhen Qin 001 (SIGIR, 2025)

Optimizing Compound Retrieval Systems. - Harrie Oosterhuis; Rolf Jagerman; Zhen Qin 001; Xuanhui Wang (SIGIR, 2025)

MAS-PD: Transferable Adversarial Attack Against Vision-Transformers-Based SAR Image Classification Task. - Boshi Zheng; Jiabin Liu; Yunjie Li; Yan Li 035; Zhen Qin 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. - Bowen Jin; Jinsung Yoon; Zhen Qin 001; Ziqi Wang 003; Wei Xiong 015; Yu Meng 001; Jiawei Han 001; Sercan Ö. Arik (CoRR, 2025)

Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs? - Hansi Zeng; Kai Hui 001; Honglei Zhuang; Zhen Qin 001; Zhenrui Yue; Hamed Zamani; Dana Alon (CoRR, 2025)

Hybrid Latent Reasoning via Reinforcement Learning. - Zhenrui Yue; Bowen Jin; Huimin Zeng 001; Honglei Zhuang; Zhen Qin 001; Jinsung Yoon; Lanyu Shang; Jiawei Han 001; Dong Wang 002 (CoRR, 2025)

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation. - Junru Wu; Le Yan; Zhen Qin 001; Honglei Zhuang; Paul Suganthan G. C.; Tianqi Liu 002; Zhe Dong; Xuanhui Wang; Harrie Oosterhuis (CoRR, 2025)