Zhen Qin - RankMe

111 papers A* 34A 7B 4C 2Misc 2Journal 48Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Building Math Agents with Multi-Turn Iterative Preference Learning. ICLR Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv Rosenberg, Zhen Qin, Daniele Calandriello, Misha Khalman, Rishabh Joshi, Bilal Piot, Mohammad Saleh, Chi Jin, Tong Zhang, Tianqi Liu
2025	J	`jnl`	Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs? CoRR Hansi Zeng, Kai Hui, Honglei Zhuang, Zhen Qin, Zhenrui Yue, Hamed Zamani, Dana Alon
2025	J	`jnl`	Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation. CoRR Junru Wu, Le Yan, Zhen Qin, Honglei Zhuang, Paul Suganthan G. C., Tianqi Liu, Zhe Dong, Xuanhui Wang, Harrie Oosterhuis
2025	J	`jnl`	Hybrid Latent Reasoning via Reinforcement Learning. CoRR Zhenrui Yue, Bowen Jin, Huimin Zeng, Honglei Zhuang, Zhen Qin, Jinsung Yoon, Lanyu Shang, Jiawei Han, Dong Wang
2025	A*	`conf`	Inference Scaling for Long-Context Retrieval Augmented Generation. ICLR Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
2025	A*	`conf`	LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. ICML Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik
2025	J	`jnl`	LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. CoRR Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik
2025	—	`conf`	LiPO: Listwise Preference Optimization through Learning-to-Rank. NAACL (Long Papers) Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman, Rishabh Joshi, Yao Zhao, Mohammad Saleh, Simon Baumgartner, Jialu Liu, Peter J. Liu, Xuanhui Wang
2025	J	`jnl`	MAS-PD: Transferable Adversarial Attack Against Vision-Transformers-Based SAR Image Classification Task. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Boshi Zheng, Jiabin Liu, Yunjie Li, Yan Li, Zhen Qin
2025	A*	`conf`	Optimizing Compound Retrieval Systems. SIGIR Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
2025	J	`jnl`	Optimizing Compound Retrieval Systems. CoRR Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
2025	A*	`conf`	RRM: Robust Reward Model Training Mitigates Reward Hacking. ICLR Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh
2025	A*	`conf`	Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation. SIGIR Krisztian Balog, Don Metzler, Zhen Qin
2025	J	`jnl`	Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation. CoRR Krisztian Balog, Donald Metzler, Zhen Qin
2024	—	`conf`	Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. NAACL (Short Papers) Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
2024	J	`jnl`	Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. CoRR Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky
2024	J	`jnl`	Building Math Agents with Multi-Turn Iterative Preference Learning. CoRR Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv Rosenberg, Zhen Qin, Daniele Calandriello, Misha Khalman, Rishabh Joshi, Bilal Piot, Mohammad Saleh, Chi Jin, Tong Zhang, Tianqi Liu
2024	A*	`conf`	Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? SIGIR Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
2024	A*	`conf`	Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. EMNLP Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
2024	J	`jnl`	Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. CoRR Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
2024	—	`conf`	Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. ACL (1) Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
2024	J	`jnl`	Inference Scaling for Long-Context Retrieval Augmented Generation. CoRR Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
2024	J	`jnl`	Integrating Planning into Single-Turn Long-Form Text Generation. CoRR Yi Liang, You Wu, Honglei Zhuang, Li Chen, Jiaming Shen, Yiling Jia, Zhen Qin, Sumit Sanghai, Xuanhui Wang, Carl Yang, Michael Bendersky
2024	J	`jnl`	LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification. CoRR Zhen Qin, Junru Wu, Jiaming Shen, Tianqi Liu, Xuanhui Wang
2024	—	`conf`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. NAACL-HLT (Findings) Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2024	J	`jnl`	LiPO: Listwise Preference Optimization through Learning-to-Rank. CoRR Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman, Rishabh Joshi, Yao Zhao, Mohammad Saleh, Simon Baumgartner, Jialu Liu, Peter J. Liu, Xuanhui Wang
2024	—	`conf`	Multilingual Fine-Grained News Headline Hallucination Detection. EMNLP (Findings) Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky
2024	J	`jnl`	Multilingual Fine-Grained News Headline Hallucination Detection. CoRR Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky
2024	—	`conf`	PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. ACL (Findings) Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
2024	J	`jnl`	PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. CoRR Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
2024	—	`conf`	Predicting Text Preference Via Structured Comparative Reasoning. ACL (1) 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
2024	J	`jnl`	RRM: Robust Reward Model Training Mitigates Reward Hacking. CoRR Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasiia Makarova, Jeremiah Z. Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh
2024	A*	`conf`	Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. KDD Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
2024	J	`jnl`	Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. CoRR Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. CoRR Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. CoRR Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
2023	J	`jnl`	Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers. CoRR Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. CoRR Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2023	A*	`conf`	Learning List-Level Domain-Invariant Representations for Ranking. NeurIPS Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Learning to Rank when Grades Matter. CoRR Le Yan, Zhen Qin, Gil I. Shamir, Dong Lin, Xuanhui Wang, Mike Bendersky
2023	J	`jnl`	On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. CoRR 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
2023	—	`conf`	PaRaDe: Passage Ranking using Demonstrations with LLMs. EMNLP (Findings) Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
2023	J	`jnl`	PaRaDe: Passage Ranking using Demonstrations with Large Language Models. CoRR Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
2023	J	`jnl`	Query Expansion by Prompting Large Language Models. CoRR Rolf Jagerman, Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky
2023	A*	`conf`	RD-Suite: A Benchmark for Ranking Distillation. NeurIPS Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
2023	J	`jnl`	RD-Suite: A Benchmark for Ranking Distillation. CoRR Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
2023	A*	`conf`	RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. SIGIR Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
2023	A	`conf`	Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
2023	A*	`conf`	Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A*	`conf`	Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. ICLR Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
2022	—	`conf`	ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. ACL (Findings) 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
2022	J	`jnl`	ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. CoRR 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
2022	J	`jnl`	Learning List-Level Domain-Invariant Representations for Ranking. CoRR Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
2022	A*	`conf`	On Optimizing Top-K Metrics for Neural Ranking Models. SIGIR Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	J	`jnl`	RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. CoRR Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
2022	A*	`conf`	Rax: Composable Learning-to-Rank Using JAX. KDD Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork
2022	J	`jnl`	Regression Compatible Listwise Objectives for Calibrated Ranking. CoRR Aijun Bai, Rolf Jagerman, Zhen Qin, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	J	`jnl`	Retrieval Augmentation for T5 Re-ranker using External Sources. CoRR Kai Hui, Tao Chen, Zhen Qin, Honglei Zhuang, Fernando Diaz, Mike Bendersky, Don Metzler
2022	A*	`conf`	Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A*	`conf`	Scale Calibration of Deep Ranking Models. KDD Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	J	`jnl`	Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. CoRR Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A*	`conf`	Transformer Memory as a Differentiable Search Index. NeurIPS 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
2022	J	`jnl`	Transformer Memory as a Differentiable Search Index. CoRR 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
2021	A*	`conf`	Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Are Pre-trained Convolutions Better than Pre-trained Transformers? CoRR Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Dara Bahri, Vamsi Aribandi, Zhen Qin, Donald Metzler
2021	—	`conf`	Are Pretrained Convolutions Better than Pretrained Transformers? ACL/IJCNLP (1) Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Vamsi Aribandi, Dara Bahri, Zhen Qin, Donald Metzler
2021	A*	`conf`	Bootstrapping Recommendations at Chrome Web Store. KDD Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Born Again Neural Rankers. CoRR Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. CoRR Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
2021	A*	`conf`	Cross-Positional Attention for Debiasing Clicks. WWW Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen
2021	A*	`conf`	Diversification-Aware Learning to Rank using Distributed Representation. WWW Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky
2021	Misc	`conf`	Ensemble Distillation for BERT-Based Ranking Models. ICTIR Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	A	`conf`	Improving Cloud Storage Search with User Activity. WSDM Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork
2021	A	`conf`	Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. WSDM Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang
2021	A*	`conf`	OmniNet: Omnidirectional Representations from Transformers. ICML Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
2021	J	`jnl`	OmniNet: Omnidirectional Representations from Transformers. CoRR Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
2021	J	`jnl`	Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2020	A*	`conf`	Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. KDD Zhen Qin, Suming J. Chen, Donald Metzler, Yongwoo Noh, Jingzheng Qin, Xuanhui Wang
2020	A*	`conf`	Improving Recommendation Quality in Google Drive. KDD Suming J. Chen, Zhen Qin, Zac Wilson, Brian Calaci, Michael Rose, Ryan Evans, Sean Abraham, Donald Metzler, Sandeep Tata, Mike Colagrosso
2020	A*	`conf`	Matching Cross Network for Learning to Rank in Personal Search. WWW Zhen Qin, Zhongliang Li, Michael Bendersky, Donald Metzler
2020	A*	`conf`	Multitask Mixture of Sequential Experts for User Activity Streams. KDD Zhen Qin, Yicheng Cheng, Zhe Zhao, Zhe Chen, Donald Metzler, Jingzheng Qin
2020	A	`conf`	Parameter Tuning in Personal Search Systems. WSDM Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler
2020	A*	`conf`	Stabilizing Neural Search Ranking Models. WWW Ruilin Li, Zhen Qin, Xuanhui Wang, Suming J. Chen, Donald Metzler
2020	—	`conf`	Training Machine Learning Models With Causal Logic. WWW (Companion Volume) Ang Li, Suming J. Chen, Jingzheng Qin, Zhen Qin
2019	A*	`conf`	Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. KDD Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler
2019	J	`jnl`	Making Deep Neural Networks Robust to Label Noise: Cross-Training With a Novel Loss Function. IEEE Access Zhen Qin, Zhengwen Zhang, Yan Li, Jun Guo
2019	A*	`conf`	Personalized Online Spell Correction for Personal Search. WWW Jai Prakash Gupta, Zhen Qin, Michael Bendersky, Donald Metzler
2018	A*	`conf`	Hawkes Process Inference With Missing Data. AAAI Christian R. Shelton, Zhen Qin, Chandini Shetty
2018	J	`jnl`	Multi-Level Common Space Learning for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. Le An, Zhen Qin, Xiaojing Chen, Songfan Yang
2018	A	`conf`	Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CIKM Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
2018	J	`jnl`	Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CoRR Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
2017	J	`jnl`	Event Detection in Continuous Video: An Inference in Point Process Approach. IEEE Trans. Image Process. Zhen Qin, Christian R. Shelton
2016	J	`jnl`	Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context. IEEE Trans. Circuits Syst. Video Technol. Xiaojing Chen, Zhen Qin, Le An, Bir Bhanu
2016	J	`jnl`	Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video. IEEE Trans. Pattern Anal. Mach. Intell. Zhen Qin, Christian R. Shelton
2015	J	`jnl`	A holistic model of mining product aspects and associated sentiments from online reviews. Multim. Tools Appl. Yan Li, Zhen Qin, Weiran Xu, Jun Guo
2015	A	`conf`	Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models. UAI Zhen Qin, Christian R. Shelton
2015	C	`conf`	Improving tag matrix completion for image annotation and retrieval. VCIP Zhen Qin, Chun-Guang Li, Honggang Zhang, Jun Guo
2015	—	`—`	Modeling Social and Temporal Context for Video Analysis. Zhen Qin
2014	A*	`conf`	An Online Learned Elementary Grouping Model for Multi-target Tracking. CVPR Xiaojing Chen, Zhen Qin, Le An, Bir Bhanu
2014	B	`conf`	Confidence Estimation and Reputation Analysis in Aspect Extraction. ICPR Yan Li, Hui Wang, Zhen Qin, Weiran Xu, Jun Guo
2014	J	`jnl`	Document Clustering Based On Max-Correntropy Non-Negative Matrix Factorization. CoRR Le Li, Jianjun Yang, Yang Xu, Zhen Qin, Honggang Zhang
2014	Misc	`conf`	Documents clustering based on max-correntropy nonnegative matrix factorization. ICMLC Le Li, Jianjun Yang, Yang Xu, Zhen Qin, Honggang Zhang
2013	—	`conf`	A new multi-scale fuzzy model for Histogram-Based Descriptors. ICME Workshops Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Bir Bhanu
2013	—	`conf`	MFSC: A new shape descriptor with robustness to deformations. ICME Workshops Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Bir Bhanu
2013	B	`conf`	Ordered histogram of shapemes: An ordered bag-of-features based shape descriptor for efficient shape matching. ICIP Lunshao Chai, Zhen Qin, Qun Li, Honggang Zhang, Jun Guo
2013	B	`conf`	Representative reference-set and betweenness centrality for scene image categorization. ICIP Qun Li, Zhen Qin, Lunshao Chai, Honggang Zhang, Jun Guo, Bir Bhanu
2013	A	`conf`	Social grouping for target handover in multi-view video. ICME Zhen Qin, Christian R. Shelton, Lunshao Chai
2013	J	`jnl`	Unsupervised Sentiment-Bearing Feature Selection for Document-Level Sentiment Classification. IEICE Trans. Inf. Syst. Yan Li, Zhen Qin, Weiran Xu, Heng Ji, Jun Guo
2012	A*	`conf`	Improving multi-target tracking via social grouping. CVPR Zhen Qin, Christian R. Shelton
2012	B	`conf`	Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval. ICIP Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Christian R. Shelton
2011	C	`conf`	Multi-feature content-based product image retrieval based on region of main object. ICICS Lunshao Chai, Honggang Zhang, Zhen Qin, Jie Yu, Yonggang Qi