Zhen Qin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
112
Venues
39
Active years
2006–2026
Best venue rank
A*
Where they publish
- A*ICLR10 papers
- A*KDD10 papers
- A*WWW9 papers
- A*ACL8 papers
- A*SIGIR7 papers
- A*EMNLP7 papers
- A*ICML6 papers
- A*AAAI5 papers
- NationalHCI4 papers
- MulticonferenceICASSP3 papers
- ANAACL3 papers
- BWCNC3 papers
- ACIKM3 papers
- A*CVPR3 papers
- AWSDM3 papers
- BICIP3 papers
- UnrankedICTIR2 papers
- CVCIP2 papers
- A*CRYPTO1 paper
- CCloudCom1 paper
- AICDCS1 paper
- A*ICDE1 paper
- A*INFOCOM1 paper
- BVTC1 paper
- AAISTATS1 paper
- CISCC1 paper
- AICSOC1 paper
- AICWS1 paper
- CICA3PP1 paper
- AInterspeech1 paper
- ARecSys1 paper
- AUAI1 paper
- NationalICMLC1 paper
- BICPR1 paper
- BSmartComp1 paper
- CHIS1 paper
- BICTAI1 paper
- CSNPD1 paper
- CUIC1 paper
Papers
112 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Learning Spatial Decay for Vision Transformers. | Yuxin Mao, Zhen Qin, Jinxing Zhou, Bin Fan, Jing Zhang, Yiran Zhong, Yuchao Dai |
| 2026 | CRYPTO | Permutation-Based Hashing with Stronger (Second) Preimage Resistance. | Siwei Sun, Shun Li, Zhiyu Zhang, Charlotte Lefevre, Bart Mennink, Zhen Qin, Dengguo Feng |
| 2026 | HCI | Design and Research of Smart Clothing for Patients with Moderate to Advanced Alzheimer's Disease Based on Nursing Needs. | Zhen Qin, Fang Dong, Jing Yang, Lin Zhao |
| 2026 | HCI | Design of Vehicle Cleaning Devices Based on the SICAS-AHP Model from the Perspective of the Sharing Economy. | Jing Yang, Zhenghan Qian, Zhen Qin |
| 2026 | ICTIR | Exposure-Based Reinforcement Learning to Rank. | Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang |
| 2026 | WWW | Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures. | Yicheng Zhang, Zhen Qin, Zhaomin Wu, Jian Hou, Shuiguang Deng |
| 2026 | SIGIR | EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection. | Ancheng Xu, Zhihao Yang, Jingpeng Li, Guanghu Yuan, Longze Chen, Liang Yan, Jiehui Zhou, Zhen Qin, Hengyu Chang, Yukun Chen, Hamid Alinejad-Rokny, Min Yang |
| 2025 | AAAI | Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling. | Hui Deng, Jiawei Shi, Zhen Qin, Yiran Zhong, Yuchao Dai |
| 2025 | ACL | Federated Data-Efficient Instruction Tuning for Large Language Models. | Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang Deng |
| 2025 | ACL | ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration. | Yunkun Wang, Yue Zhang, Zhen Qin, Chen Zhi, Binhua Li, Fei Huang, Yongbin Li, Shuiguang Deng |
| 2025 | ACL | AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks. | Wenhua Zhang, Weicheng Li, Xuanrong Rao, Lixin Zou, Xiangyang Luo, Chubin Zhuang, Yongjie Hong, Zhen Qin, Hengyun Chang, Chenliang Li, Bo Zheng |
| 2025 | CloudCom | KAN-Lite: Semantic Reasoning for Intent-Aware UAV Swarm Recovery in 6G Networks. | Jiaqi Lin, Qijie Qian, Qi Liu, Xiang Li, Senbai Zhang, Chunhui Cheng, Jinpeng Ran, Zhen Qin, Xudong Zhong |
| 2025 | HCI | Research and Analysis of Risky Behavior in College Students' Sewing Craft Teaching. | Zhen Qin, Hanze Ge, Zejun Huang |
| 2025 | ICASSP | CPSNet: Comprehensive Enhancement Representation for Polyp Segmentation Task. | Jiati Cai, Xiaogang Liu, Hongjie Yang, Yi Ding, Ting Zhong, Zhen Qin |
| 2025 | ICASSP | Multi-scale Graph Convolution with Corrective Contrastive Learning for Skeleton-based Action Recognition. | Tianming Zhuang, Erqiang Zhou, Hanwen Zhang, Yi Ding, Ji Geng, Zhen Qin |
| 2025 | ICDCS | IB-SC: Simplify Key Management to Enable Quick Start for Short-session Path Validation. | Keji Miao, Xinghai Wei, Dongqi Han, Jie Yuan, Zhen Qin, Qun Li, Haiguang Wang, Tieyan Li |
| 2025 | ICLR | RRM: Robust Reward Model Training Mitigates Reward Hacking. | 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 | ICLR | Building Math Agents with Multi-Turn Iterative Preference Learning. | 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 | ICLR | DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity. | Zhen Qin, Zhuqing Liu, Songtao Lu, Yingbin Liang, Jia Liu |
| 2025 | ICLR | Inference Scaling for Long-Context Retrieval Augmented Generation. | Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky |
| 2025 | ICML | LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. | Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan . Arik |
| 2025 | ICML | MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition. | Ning Wang, Zekun Li, Tongxin Bai, Man Yao, Zhen Qin, Guoqi Li |
| 2025 | NAACL | LiPO: Listwise Preference Optimization through Learning-to-Rank. | 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 | SIGIR | Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation. | Krisztian Balog, Don Metzler, Zhen Qin |
| 2025 | SIGIR | Optimizing Compound Retrieval Systems. | Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang |
| 2024 | AAAI | Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective. | Zhen Qin, Feiyi Chen, Chen Zhi, Xueqiang Yan, Shuiguang Deng |
| 2024 | AAAI | Exploring Transformer Extrapolation. | Zhen Qin, Yiran Zhong, Hui Deng |
| 2024 | ACL | Predicting Text Preference Via Structured Comparative Reasoning. | 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 | ACL | Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. | Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky |
| 2024 | ACL | PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. | Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang |
| 2024 | EMNLP | Multilingual Fine-Grained News Headline Hallucination Detection. | Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky |
| 2024 | EMNLP | Scaling Laws for Linear Complexity Language Models. | Xuyang Shen, Dong Li, Ruitao Leng, Zhen Qin, Weigao Sun, Yiran Zhong |
| 2024 | EMNLP | Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. | Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis |
| 2024 | HCI | Standardizing and Early Warning of Sewing Beginners' Posture Based on CNN Visual Recognition Technology. | Zejun Huang, Zhen Qin, Hanze Ge |
| 2024 | ICDE | Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. | Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng |
| 2024 | ICLR | CO2: Efficient Distributed Training with Full Communication-Computation Overlap. | Weigao Sun, Zhen Qin, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong |
| 2024 | ICML | Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. | Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng |
| 2024 | ICML | Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention. | Zhen Qin, Weigao Sun, Dong Li, Xuyang Shen, Weixuan Sun, Yiran Zhong |
| 2024 | INFOCOM | Reverse Engineering Industrial Protocols Driven By Control Fields. | Zhen Qin, Zeyu Yang, Yangyang Geng, Xin Che, Tianyi Wang, Hengye Zhu, Peng Cheng, Jiming Chen |
| 2024 | KDD | Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. | Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky |
| 2024 | NAACL | Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. | 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 | NAACL | Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. | Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky |
| 2024 | WCNC | Efficient Pipeline Collaborative DNN Inference in Resource-Constrained UAV Swarm. | Weiqing Ren, Yuben Qu, Zhen Qin, Chao Dong, Fuhui Zhou, Lei Zhang, Qihui Wu |
| 2024 | WWW | LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection. | Feiyi Chen, Zhen Qin, Mengchu Zhou, Yingying Zhang, Shuiguang Deng, Lunting Fan, Guansong Pang, Qingsong Wen |
| 2024 | WWW | BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework. | Zhen Qin, Xueqiang Yan, Mengchu Zhou, Shuiguang Deng |
| 2024 | SIGIR | Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? | Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky |
| 2023 | CIKM | Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. | Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2023 | CVPR | Fine-grained Audible Video Description. | Xuyang Shen, Dong Li, Jinxing Zhou, Zhen Qin, Bowen He, Xiaodong Han, Aixuan Li, Yuchao Dai, Lingpeng Kong, Meng Wang, Yu Qiao, Yiran Zhong |
| 2023 | EMNLP | PaRaDe: Passage Ranking using Demonstrations with LLMs. | Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui |
| 2023 | EMNLP | Accelerating Toeplitz Neural Network with Constant-time Inference Complexity. | Zhen Qin, Yiran Zhong |
| 2023 | ICLR | Encoding Recurrence into Transformers. | Feiqing Huang, Kexin Lu, Yuxi Cai, Zhen Qin, Yanwen Fang, Guangjian Tian, Guodong Li |
| 2023 | ICLR | Toeplitz Neural Network for Sequence Modeling. | Zhen Qin, Xiaodong Han, Weixuan Sun, Bowen He, Dong Li, Dongxu Li, Yuchao Dai, Lingpeng Kong, Yiran Zhong |
| 2023 | KDD | FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity. | Zhen Qin, Shuiguang Deng, Mingyu Zhao, Xueqiang Yan |
| 2023 | KDD | Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. | Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2023 | VTC | A Variable Step-Size l0-PRLS Algorithm and its Application in Sparse Channel Estimations. | Yu Wang, Zhen Qin, Jun Tao, Ming Jiang |
| 2023 | SIGIR | RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. | Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky |
| 2022 | ACL | ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. | Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Ccero Nogueira dos Santos, Yi Tay, Donald Metzler |
| 2022 | AISTATS | On the Value of Prior in Online Learning to Rank. | Branislav Kveton, Ofer Meshi, Masrour Zoghi, Zhen Qin |
| 2022 | EMNLP | The Devil in Linear Transformer. | Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong |
| 2022 | ICASSP | Learning Approach For Fast Approximate Matrix Factorizations. | Haiyan Yu, Zhen Qin, Zhihui Zhu |
| 2022 | ICLR | cosFormer: Rethinking Softmax In Attention. | Zhen Qin, Weixuan Sun, Hui Deng, Dongxu Li, Yunshen Wei, Baohong Lv, Junjie Yan, Lingpeng Kong, Yiran Zhong |
| 2022 | ICLR | Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. | Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler |
| 2022 | ISCC | BC-MCSDT: A Blockchain-based Trusted Mobile Crowdsensing Data Trading Framework. | Weiwei Hu, Bo Gu, Jinming Li, Zhen Qin |
| 2022 | KDD | Rax: Composable Learning-to-Rank Using JAX. | Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork |
| 2022 | KDD | Scale Calibration of Deep Ranking Models. | Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | WCNC | DQN-based Computation-Intensive Graph Task Offloading for Internet of Vehicles. | Jinming Li, Bo Gu, Zhen Qin, Ziqi Lin, Yu Han |
| 2022 | WCNC | Channel-Occupation-Aware Resource Allocation in LoRa Networks: a DQN-and-Optimization-Aided Approach. | Zhen Qin, Jinming Li, Bo Gu |
| 2022 | SIGIR | On Optimizing Top-K Metrics for Neural Ranking Models. | Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | SIGIR | Revisiting Two-tower Models for Unbiased Learning to Rank. | Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | ACL | Are Pretrained Convolutions Better than Pretrained Transformers? | Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Vamsi Aribandi, Dara Bahri, Zhen Qin, Donald Metzler |
| 2021 | CIKM | Flexible O&M for Telecom Networks at Huawei: A Language Model-based Approach. | Shuang Wu, Zhen Qin, Zhen Wang, Siwei Rao, Qiang Ye, Xingyue Quan, Guangjian Tian |
| 2021 | ICLR | Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? | Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | ICML | OmniNet: Omnidirectional Representations from Transformers. | Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler |
| 2021 | ICTIR | Ensemble Distillation for BERT-Based Ranking Models. | Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | KDD | Bootstrapping Recommendations at Chrome Web Store. | Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | WWW | Diversification-Aware Learning to Rank using Distributed Representation. | Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky |
| 2021 | WWW | Cross-Positional Attention for Debiasing Clicks. | Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen |
| 2021 | WSDM | Improving Cloud Storage Search with User Activity. | Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork |
| 2021 | WSDM | Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction. | Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang |
| 2020 | EMNLP | Diversify Question Generation with Continuous Content Selectors and Question Type Modeling. | Zhen Wang, Siwei Rao, Jie Zhang, Zhen Qin, Guangjian Tian, Jun Wang |
| 2020 | ICML | Do RNN and LSTM have Long Memory? | Jingyu Zhao, Feiqing Huang, Jia Lv, Yanjie Duan, Zhen Qin, Guodong Li, Guangjian Tian |
| 2020 | ICSOC | TD-EUA: Task-Decomposable Edge User Allocation with QoE Optimization. | Guobing Zou, Ya Liu, Zhen Qin, Jin Chen, Zhiwei Xu, Yanglan Gan, Bofeng Zhang, Qiang He |
| 2020 | KDD | Improving Recommendation Quality in Google Drive. | Suming J. Chen, Zhen Qin, Zac Wilson, Brian Calaci, Michael Rose, Ryan Evans, Sean Abraham, Donald Metzler, Sandeep Tata, Mike Colagrosso |
| 2020 | KDD | Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. | Zhen Qin, Suming J. Chen, Donald Metzler, Yongwoo Noh, Jingzheng Qin, Xuanhui Wang |
| 2020 | KDD | Multitask Mixture of Sequential Experts for User Activity Streams. | Zhen Qin, Yicheng Cheng, Zhe Zhao, Zhe Chen, Donald Metzler, Jingzheng Qin |
| 2020 | WWW | Training Machine Learning Models With Causal Logic. | Ang Li, Suming J. Chen, Jingzheng Qin, Zhen Qin |
| 2020 | WWW | Stabilizing Neural Search Ranking Models. | Ruilin Li, Zhen Qin, Xuanhui Wang, Suming J. Chen, Donald Metzler |
| 2020 | WWW | Matching Cross Network for Learning to Rank in Personal Search. | Zhen Qin, Zhongliang Li, Michael Bendersky, Donald Metzler |
| 2020 | WSDM | Parameter Tuning in Personal Search Systems. | Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler |
| 2019 | ICWS | DeepWSC: A Novel Framework with Deep Neural Network for Web Service Clustering. | Guobing Zou, Zhen Qin, Qiang He, Pengwei Wang, Bofeng Zhang, Yanglan Gan |
| 2019 | KDD | Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. | Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler |
| 2019 | WWW | Personalized Online Spell Correction for Personal Search. | Jai Prakash Gupta, Zhen Qin, Michael Bendersky, Donald Metzler |
| 2019 | VCIP | Hybrid Regularization with Elastic Net and Linear Discriminant Analysis for Zero-Shot Image Recognition. | Zhen Qin, Yan Li |
| 2018 | AAAI | Hawkes Process Inference With Missing Data. | Christian R. Shelton, Zhen Qin, Chandini Shetty |
| 2018 | CIKM | Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. | Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler |
| 2018 | ICA3PP | An Improvement of PAA on Trend-Based Approximation for Time Series. | Chunkai Zhang, Yingyang Chen, Ao Yin, Zhen Qin, Xing Zhang, Keli Zhang, Zoe Lin Jiang |
| 2018 | Interspeech | Long Distance Voice Channel Diagnosis Using Deep Neural Networks. | Zhen Qin, Tom Ko, Guangjian Tian |
| 2016 | RecSys | A Scalable Approach for Periodical Personalized Recommendations. | Zhen Qin, Ish Rishabh, John Carnahan |
| 2015 | UAI | Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models. | Zhen Qin, Christian R. Shelton |
| 2015 | VCIP | Improving tag matrix completion for image annotation and retrieval. | Zhen Qin, Chun-Guang Li, Honggang Zhang, Jun Guo |
| 2014 | CVPR | An Online Learned Elementary Grouping Model for Multi-target Tracking. | Xiaojing Chen, Zhen Qin, Le An, Bir Bhanu |
| 2014 | ICMLC | Documents clustering based on max-correntropy nonnegative matrix factorization. | Le Li, Jianjun Yang, Yang Xu, Zhen Qin, Honggang Zhang |
| 2014 | ICPR | Confidence Estimation and Reputation Analysis in Aspect Extraction. | Yan Li, Hui Wang, Zhen Qin, Weiran Xu, Jun Guo |
| 2014 | SmartComp | Demographic information prediction based on smartphone application usage. | Zhen Qin, Yilei Wang, Yong Xia, Hongrong Cheng, Yingjie Zhou, Zhengguo Sheng, Victor C. M. Leung |
| 2013 | ICIP | Ordered histogram of shapemes: An ordered bag-of-features based shape descriptor for efficient shape matching. | Lunshao Chai, Zhen Qin, Qun Li, Honggang Zhang, Jun Guo |
| 2013 | ICIP | Representative reference-set and betweenness centrality for scene image categorization. | Qun Li, Zhen Qin, Lunshao Chai, Honggang Zhang, Jun Guo, Bir Bhanu |
| 2012 | CVPR | Improving multi-target tracking via social grouping. | Zhen Qin, Christian R. Shelton |
| 2012 | ICIP | Re-ranking using compression-based distance measure for Content-based Commercial Product Image Retrieval. | Lunshao Chai, Zhen Qin, Honggang Zhang, Jun Guo, Christian R. Shelton |
| 2009 | HIS | Optimizing the QoS Performance of Fast Rerouting. | Xin Li, Zhen Qin, Tao Yu |
| 2009 | ICTAI | Proactive Routing for Congestion Avoidance in Network Recovery under Single-Link Failures. | Roberto Rojas-Cessa, Zhen Qin |
| 2007 | SNPD | A Framework for Reliability Computation of the IP Network. | Tao Yu, Shanzhi Chen, Ming Ai, Xin Li, Yuhong Li, Zhen Qin |
| 2006 | UIC | A New Model to Optimize the Cost Efficiency of Broadcast in Mobile Ad Hoc Networks. | Xin Li, Shanzhi Chen, Zhen Qin, Bo Hu |