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Zhen Qin 0001
Person information
- affiliation: Google, Mountain View, CA, USA
- affiliation (PhD 2015): University of California, Riverside, Computer Science and Engineering Department, USA
Other persons with the same name
- Zhen Qin — disambiguation page
- Zhen Qin 0002
— University of Electronic Science and Technology of China, Chengdu, China
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2020 – today
- 2024
- [c55]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: 10040-10060 - [c54]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: 14002-14024 - [c53]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: 15623-15636 - [c52]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. EMNLP 2024: 410-423 - [c51]Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky:
Multilingual Fine-Grained News Headline Hallucination Detection. EMNLP (Findings) 2024: 7862-7875 - [c50]Harrie Oosterhuis
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. KDD 2024: 2307-2317 - [c49]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. NAACL (Short Papers) 2024: 358-370 - [c48]Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky:
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. NAACL-HLT (Findings) 2024: 1504-1518 - [c47]Minghan Li
Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? SIGIR 2024: 2321-2326 - [i34]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:
LiPO: Listwise Preference Optimization through Learning-to-Rank. CoRR abs/2402.01878 (2024) - [i33]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 abs/2404.11791 (2024) - [i32]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. CoRR abs/2406.02886 (2024) - [i31]Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky:
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. CoRR abs/2407.02464 (2024) - [i30]Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky:
Multilingual Fine-Grained News Headline Hallucination Detection. CoRR abs/2407.15975 (2024) - [i29]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 abs/2407.16008 (2024) - [i28]Zhen Qin, Junru Wu, Jiaming Shen, Tianqi Liu, Xuanhui Wang:
LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification. CoRR abs/2408.03359 (2024) - [i27]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:
Building Math Agents with Multi-Turn Iterative Preference Learning. CoRR abs/2409.02392 (2024) - [i26]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:
RRM: Robust Reward Model Training Mitigates Reward Hacking. CoRR abs/2409.13156 (2024) - [i25]Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky:
Inference Scaling for Long-Context Retrieval Augmented Generation. CoRR abs/2410.04343 (2024) - [i24]Yi Liang, You Wu, Honglei Zhuang, Li Chen, Jiaming Shen, Yiling Jia, Zhen Qin, Sumit Sanghai, Xuanhui Wang, Carl Yang, Michael Bendersky:
Integrating Planning into Single-Turn Long-Form Text Generation. CoRR abs/2410.06203 (2024) - 2023
- [c46]Aijun Bai
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM 2023: 4502-4508 - [c45]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: 14242-14252 - [c44]Yunan Zhang
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD 2023: 5618-5627 - [c43]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. NeurIPS 2023 - [c42]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 - [c41]Honglei Zhuang
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. SIGIR 2023: 2308-2313 - [i23]Rolf Jagerman, Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky:
Query Expansion by Prompting Large Language Models. CoRR abs/2305.03653 (2023) - [i22]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 abs/2306.04455 (2023) - [i21]Le Yan, Zhen Qin, Gil I. Shamir, Dong Lin, Xuanhui Wang, Mike Bendersky:
Learning to Rank when Grades Matter. CoRR abs/2306.08650 (2023) - [i20]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 abs/2306.17563 (2023) - [i19]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 abs/2310.14122 (2023) - [i18]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 abs/2310.14408 (2023) - [i17]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 abs/2311.07099 (2023) - [i16]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 abs/2311.08390 (2023) - [i15]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 abs/2311.09175 (2023) - 2022
- [c40]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: 3747-3758 - [c39]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 - [c38]Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork
Rax: Composable Learning-to-Rank Using JAX. KDD 2022: 3051-3060 - [c37]Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
Scale Calibration of Deep Ranking Models. KDD 2022: 4300-4309 - [c36]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 - [c35]Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
On Optimizing Top-K Metrics for Neural Ranking Models. SIGIR 2022: 2303-2307 - [c34]Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR 2022: 2410-2414 - [i14]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 abs/2202.06991 (2022) - [i13]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 abs/2204.11458 (2022) - [i12]Kai Hui, Tao Chen, Zhen Qin, Honglei Zhuang, Fernando Diaz, Mike Bendersky, Don Metzler:
Retrieval Augmentation for T5 Re-ranker using External Sources. CoRR abs/2210.05145 (2022) - [i11]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 abs/2210.10634 (2022) - [i10]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 abs/2211.01494 (2022) - [i9]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 abs/2212.10764 (2022) - [i8]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 abs/2212.13937 (2022) - 2021
- [c33]Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Vamsi Aribandi
Are Pretrained Convolutions Better than Pretrained Transformers? ACL/IJCNLP (1) 2021: 4349-4359 - [c32]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 - [c31]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: 10193-10202 - [c30]Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork
Ensemble Distillation for BERT-Based Ranking Models. ICTIR 2021: 131-136 - [c29]Zhen Qin, Honglei Zhuang, Rolf Jagerman
Bootstrapping Recommendations at Chrome Web Store. KDD 2021: 3483-3491 - [c28]Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. WSDM 2021: 481-489 - [c27]Rolf Jagerman
Improving Cloud Storage Search with User Activity. WSDM 2021: 508-516 - [c26]Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky:
Diversification-Aware Learning to Rank using Distributed Representation. WWW 2021: 127-136 - [c25]Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen:
Cross-Positional Attention for Debiasing Clicks. WWW 2021: 788-797 - [i7]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 abs/2103.01075 (2021) - [i6]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 abs/2105.03322 (2021) - [i5]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 abs/2106.12672 (2021) - [i4]Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Born Again Neural Rankers. CoRR abs/2109.15285 (2021) - [i3]Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR abs/2112.09727 (2021) - 2020
- [c24]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: 2359-2367 - [c23]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: 2900-2908 - [c22]Zhen Qin, Yicheng Cheng, Zhe Zhao, Zhe Chen, Donald Metzler, Jingzheng Qin:
Multitask Mixture of Sequential Experts for User Activity Streams. KDD 2020: 3083-3091 - [c21]Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler:
Parameter Tuning in Personal Search Systems. WSDM 2020: 97-105 - [c20]Ang Li, Suming J. Chen, Jingzheng Qin, Zhen Qin:
Training Machine Learning Models With Causal Logic. WWW (Companion Volume) 2020: 557-561 - [c19]Ruilin Li, Zhen Qin, Xuanhui Wang, Suming J. Chen, Donald Metzler:
Stabilizing Neural Search Ranking Models. WWW 2020: 2725-2732 - [c18]Zhen Qin, Zhongliang Li, Michael Bendersky, Donald Metzler:
Matching Cross Network for Learning to Rank in Personal Search. WWW 2020: 2835-2841
2010 – 2019
- 2019
- [j7]Zhen Qin, Zhengwen Zhang, Yan Li
Making Deep Neural Networks Robust to Label Noise: Cross-Training With a Novel Loss Function. IEEE Access 7: 130893-130902 (2019) - [c17]Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler:
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. KDD 2019: 2032-2040 - [c16]Jai Prakash Gupta, Zhen Qin, Michael Bendersky, Donald Metzler:
Personalized Online Spell Correction for Personal Search. WWW 2019: 2785-2791 - 2018
- [j6]Le An
Multi-Level Common Space Learning for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1777-1787 (2018) - [c15]Christian R. Shelton, Zhen Qin, Chandini Shetty:
Hawkes Process Inference With Missing Data. AAAI 2018: 6425-6432 - [c14]Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler:
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CIKM 2018: 2127-2135 - [i2]Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler:
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CoRR abs/1809.05618 (2018) - 2017
- [j5]Zhen Qin
Event Detection in Continuous Video: An Inference in Point Process Approach. IEEE Trans. Image Process. 26(12): 5680-5691 (2017) - 2016
- [j4]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): 2082-2095 (2016) - [j3]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): 2226-2239 (2016) - 2015
- [b1]Zhen Qin:
Modeling Social and Temporal Context for Video Analysis. University of California, Riverside, USA, 2015 - [j2]Yan Li, Zhen Qin, Weiran Xu, Jun Guo:
A holistic model of mining product aspects and associated sentiments from online reviews. Multim. Tools Appl. 74(23): 10177-10194 (2015) - [c13]Zhen Qin, Christian R. Shelton:
Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models. UAI 2015: 722-731 - [c12]Zhen Qin, Chun-Guang Li, Honggang Zhang, Jun Guo:
Improving tag matrix completion for image annotation and retrieval. VCIP 2015: 1-4 - 2014
- [c11]Xiaojing Chen, Zhen Qin, Le An, Bir Bhanu
An Online Learned Elementary Grouping Model for Multi-target Tracking. CVPR 2014: 1242-1249 - [c10]Le Li, Jianjun Yang, Yang Xu, Zhen Qin, Honggang Zhang:
Documents clustering based on max-correntropy nonnegative matrix factorization. ICMLC 2014: 850-855 - [c9]Yan Li, Hui Wang, Zhen Qin, Weiran Xu, Jun Guo:
Confidence Estimation and Reputation Analysis in Aspect Extraction. ICPR 2014: 3612-3617 - [i1]Le Li, Jianjun Yang, Yang Xu, Zhen Qin, Honggang Zhang:
Document Clustering Based On Max-Correntropy Non-Negative Matrix Factorization. CoRR abs/1410.0993 (2014) - 2013
- [j1]Yan Li, Zhen Qin, Weiran Xu, Heng Ji, Jun Guo:
Unsupervised Sentiment-Bearing Feature Selection for Document-Level Sentiment Classification. IEICE Trans. Inf. Syst. 96-D(12): 2805-2813 (2013) - [c8]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: 2929-2933 - [c7]Qun Li, Zhen Qin, Lunshao Chai, Honggang Zhang, Jun Guo, Bir Bhanu
Representative reference-set and betweenness centrality for scene image categorization. ICIP 2013: 3254-3258 - [c6]Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Bir Bhanu
A new multi-scale fuzzy model for Histogram-Based Descriptors. ICME Workshops 2013: 1-6 - [c5]Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Bir Bhanu
MFSC: A new shape descriptor with robustness to deformations. ICME Workshops 2013: 1-4 - [c4]Zhen Qin, Christian R. Shelton
Social grouping for target handover in multi-view video. ICME 2013: 1-6 - 2012
- [c3]Zhen Qin, Christian R. Shelton
Improving multi-target tracking via social grouping. CVPR 2012: 1972-1978 - [c2]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: 1941-1944 - 2011
- [c1]Lunshao Chai, Honggang Zhang, Zhen Qin, Jie Yu, Yonggang Qi:
Multi-feature content-based product image retrieval based on region of main object. ICICS 2011: 1-5
Coauthor Index
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