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ORCIDQi Qian 0001
Person information
- affiliation: Alibaba Group, Machine Intelligence Technology Lab, Bellevue, WA, USA
- affiliation (PhD 2015): Michigan State University, Department of Computer Science & Engineering, East Lansing, MI, USA
- affiliation (until 2011): Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China
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2020 – today
- 2023
[c31]Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Lin, Fei Huang:
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. EMNLP (Findings) 2023: 2841-2858- [c30]Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian:
Improved Visual Fine-tuning with Natural Language Supervision. ICCV 2023: 11865-11875 - [c29]Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang:
HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training. ICCV 2023: 15359-15370 - [c28]Qi Qian:
Stable Cluster Discrimination for Deep Clustering. ICCV 2023: 16599-16608 - [c27]Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou:
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. ICML 2023: 38728-38748 - [c26]Qi Qian, Yuanhong Xu, Juhua Hu:
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. NeurIPS 2023 - [i41]Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou:
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. CoRR abs/2302.00402 (2023) - [i40]Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian:
Improved Visual Fine-tuning with Natural Language Supervision. CoRR abs/2304.01489 (2023) - [i39]Junfeng Tian, Hehong Chen, Guohai Xu, Ming Yan, Xing Gao, Jianhai Zhang, Chenliang Li, Jiayi Liu, Wenshen Xu, Haiyang Xu, Qi Qian, Wei Wang, Qinghao Ye, Jiejing Zhang, Ji Zhang, Fei Huang, Jingren Zhou:
ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human. CoRR abs/2304.07849 (2023) - [i38]Haiyang Xu, Qinghao Ye, Xuan Wu, Ming Yan, Yuan Miao, Jiabo Ye, Guohai Xu, Anwen Hu, Yaya Shi, Guangwei Xu, Chenliang Li, Qi Qian, Maofei Que, Ji Zhang, Xiao Zeng, Fei Huang:
Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks. CoRR abs/2306.04362 (2023) - [i37]Yuqi Zhang, Qi Qian, Hongsong Wang, Chong Liu, Weihua Chen, Fan Wang:
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval. CoRR abs/2306.08792 (2023) - [i36]Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Yuhao Dan, Chenlin Zhao, Guohai Xu, Chenliang Li, Junfeng Tian, Qian Qi, Ji Zhang, Fei Huang:
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding. CoRR abs/2307.02499 (2023) - [i35]Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Alex Lin, Fei Huang:
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. CoRR abs/2310.05126 (2023) - [i34]Qi Qian, Yuanhong Xu, Juhua Hu:
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. CoRR abs/2310.19752 (2023) - [i33]Qinghao Ye, Haiyang Xu, Jiabo Ye, Ming Yan, Anwen Hu, Haowei Liu, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou:
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration. CoRR abs/2311.04257 (2023) - [i32]Anwen Hu, Yaya Shi, Haiyang Xu, Jiabo Ye, Qinghao Ye, Ming Yan, Chenliang Li, Qi Qian, Ji Zhang, Fei Huang:
mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model. CoRR abs/2311.18248 (2023) - 2022
- [c25]Haiyang Wang, Shaoshuai Shi, Ze Yang
, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang:
RBGNet: Ray-based Grouping for 3D Object Detection. CVPR 2022: 1100-1109 - [c24]Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin:
Unsupervised Visual Representation Learning by Online Constrained K-Means. CVPR 2022: 16619-16628 - [c23]Yuqi Zhang, Qi Qian, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin:
Graph Convolution for Re-Ranking in Person Re-Identification. ICASSP 2022: 2704-2708 - [c22]Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li:
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization. ACM Multimedia 2022: 3214-3223 - [c21]Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin:
Improved Fine-Tuning by Better Leveraging Pre-Training Data. NeurIPS 2022 - [c20]Qi Qian, Hao Li, Juhua Hu:
Improved Knowledge Distillation via Full Kernel Matrix Transfer. SDM 2022: 612-620 - [i31]Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang:
RBGNet: Ray-based Grouping for 3D Object Detection. CoRR abs/2204.02251 (2022) - [i30]Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, Antoni B. Chan:
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation. CoRR abs/2205.12753 (2022) - [i29]Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li:
Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization. CoRR abs/2208.02803 (2022) - [i28]Jianlong Yuan, Jinchao Ge, Qi Qian, Zhibin Wang, Fan Wang, Yifan Liu:
Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation. CoRR abs/2208.11499 (2022) - [i27]Jianlong Yuan, Qi Qian, Fei Du, Zhibin Wang, Fan Wang, Yifan Liu:
FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation. CoRR abs/2208.14143 (2022) - [i26]Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang:
HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training. CoRR abs/2212.14546 (2022) - 2021
- [c19]Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li:
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework. CVPR 2021: 4081-4090 - [c18]Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition. ICCV 2021: 337-346 - [c17]Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu:
Weakly Supervised Representation Learning with Coarse Labels. ICCV 2021: 10573-10581 - [c16]Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin:
Dash: Semi-Supervised Learning with Dynamic Thresholding. ICML 2021: 11525-11536 - [i25]Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition. CoRR abs/2102.01063 (2021) - [i24]Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li:
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework. CoRR abs/2103.11402 (2021) - [i23]Yi Xu, Qi Qian, Hao Li, Rong Jin:
A Theoretical Analysis of Learning with Noisily Labeled Data. CoRR abs/2104.04114 (2021) - [i22]Yi Xu, Qi Qian, Hao Li, Rong Jin:
Why Does Multi-Epoch Training Help? CoRR abs/2105.06015 (2021) - [i21]Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin:
Unsupervised Visual Representation Learning by Online Constrained K-Means. CoRR abs/2105.11527 (2021) - [i20]Yuqi Zhang, Qian Qi, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin:
Graph Convolution for Re-ranking in Person Re-identification. CoRR abs/2107.02220 (2021) - [i19]Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin:
Dash: Semi-Supervised Learning with Dynamic Thresholding. CoRR abs/2109.00650 (2021) - [i18]Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Antoni B. Chan, Rong Jin:
Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice. CoRR abs/2111.12292 (2021) - 2020
- [c15]Qi Qian, Juhua Hu, Hao Li:
Hierarchically Robust Representation Learning. CVPR 2020: 7334-7342 - [c14]Qi Qian, Lei Chen, Hao Li, Rong Jin:
DR Loss: Improving Object Detection by Distributional Ranking. CVPR 2020: 12161-12169 - [i17]Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu:
Representation Learning with Fine-grained Patterns. CoRR abs/2005.09681 (2020) - [i16]Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin:
Towards Understanding Label Smoothing. CoRR abs/2006.11653 (2020) - [i15]Ming Lin, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin:
Neural Architecture Design for GPU-Efficient Networks. CoRR abs/2006.14090 (2020) - [i14]Lei Chen, Qi Qian, Hao Li:
Semi-Anchored Detector for One-Stage Object Detection. CoRR abs/2009.04989 (2020) - [i13]Qi Qian, Hao Li, Juhua Hu:
Efficient Kernel Transfer in Knowledge Distillation. CoRR abs/2009.14416 (2020) - [i12]Yi Xu, Asaf Noy, Ming Lin, Qi Qian, Hao Li, Rong Jin:
WeMix: How to Better Utilize Data Augmentation. CoRR abs/2010.01267 (2020)
2010 – 2019
- 2019
- [c13]Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. AAAI 2019: 4312-4319 - [c12]Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. AAAI 2019: 4739-4746 - [c11]Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin:
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. ICCV 2019: 6449-6457 - [c10]Zhiyu Tan, Xuecheng Nie, Qi Qian, Nan Li, Hao Li:
Learning to Rank Proposals for Object Detection. ICCV 2019: 8272-8280 - [c9]Hesen Chen, Ming Lin, Xiuyu Sun, Qian Qi, Hao Li, Rong Jin:
MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning. ICCV Workshops 2019: 2943-2952 - [c8]Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin:
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. KDD 2019: 2838-2847 - [i11]Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee. CoRR abs/1901.11149 (2019) - [i10]Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin:
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. CoRR abs/1906.01095 (2019) - [i9]Qi Qian, Lei Chen, Hao Li, Rong Jin:
DR Loss: Improving Object Detection by Distributional Ranking. CoRR abs/1907.10156 (2019) - [i8]Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin:
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. CoRR abs/1909.05235 (2019) - [i7]Qi Qian, Juhua Hu, Hao Li:
Hierarchically Robust Representation Learning. CoRR abs/1911.04047 (2019) - 2018
- [c7]Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin:
Large-Scale Distance Metric Learning With Uncertainty. CVPR 2018: 8542-8550 - [i6]Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. CoRR abs/1805.07588 (2018) - [i5]Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin:
Large-scale Distance Metric Learning with Uncertainty. CoRR abs/1805.10384 (2018) - 2017
- [j2]Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu:
Finding multiple stable clusterings. Knowl. Inf. Syst. 51(3): 991-1021 (2017) - [c6]Gang Liu, Qi Qian, Zhibin Wang, Qingen Zhao, Tianzhou Wang, Hao Li, Jian Xue, Shenghuo Zhu, Rong Jin, Tuo Zhao:
The Opensesame NIST 2016 Speaker Recognition Evaluation System. INTERSPEECH 2017: 2854-2858 - 2015
- [j1]Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu:
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD). Mach. Learn. 99(3): 353-372 (2015) - [c5]Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin:
Fine-grained visual categorization via multi-stage metric learning. CVPR 2015: 3716-3724 - [c4]Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu:
Finding Multiple Stable Clusterings. ICDM 2015: 171-180 - [i4]Qi Qian, Rong Jin, Lijun Zhang, Shenghuo Zhu:
Towards Making High Dimensional Distance Metric Learning Practical. CoRR abs/1509.04355 (2015) - [i3]Qi Qian, Inci M. Baytas, Rong Jin, Anil K. Jain, Shenghuo Zhu:
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval. CoRR abs/1512.01728 (2015) - 2014
- [c3]Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu:
Distance metric learning using dropout: a structured regularization approach. KDD 2014: 323-332 - [i2]Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin:
An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization. CoRR abs/1402.0453 (2014) - 2013
- [c2]Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian, Anil K. Jain:
Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion. ICML (3) 2013: 1400-1408 - [i1]Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu:
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD). CoRR abs/1304.1192 (2013) - 2012
- [c1]T. Ryan Hoens, Qi Qian, Nitesh V. Chawla, Zhi-Hua Zhou:
Building Decision Trees for the Multi-class Imbalance Problem. PAKDD (1) 2012: 122-134
Coauthor Index
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