Qi Qian

According to our database, Qi Qian authored at least 58 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model.

Anwen Hu, Yaya Shi, Haiyang Xu, Jiabo Ye, Qinghao Ye, Ming Yan, Chenliang Li, Qi Qian, Ji Zhang, Fei Huang

CoRR, 2023

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration.

Qinghao Ye, Haiyang Xu, Jiabo Ye, Ming Yan, Anwen Hu, Haowei Liu, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou

CoRR, 2023

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model.

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

CoRR, 2023

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding.

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

CoRR, 2023

Graph Convolution Based Efficient Re-Ranking for Visual Retrieval.

Yuqi Zhang, Qi Qian, Hongsong Wang, Chong Liu, Weihua Chen, Fan Wang

CoRR, 2023

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks.

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

CoRR, 2023

ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human.

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

CoRR, 2023

Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP.

Qi Qian, Yuanhong Xu, Juhua Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.

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

Proceedings of the International Conference on Machine Learning, 2023

HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training.

Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improved Visual Fine-tuning with Natural Language Supervision.

Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Stable Cluster Discrimination for Deep Clustering.

Qi Qian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training.

Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang

CoRR, 2022

FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation.

Jianlong Yuan, Qi Qian, Fei Du, Zhibin Wang, Fan Wang, Yifan Liu

CoRR, 2022

Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation.

Jianlong Yuan, Jinchao Ge, Qi Qian, Zhibin Wang, Fan Wang, Yifan Liu

CoRR, 2022

Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization.

Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li

CoRR, 2022

An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation.

Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, Antoni B. Chan

CoRR, 2022

Improved Knowledge Distillation via Full Kernel Matrix Transfer.

Qi Qian, Hao Li, Juhua Hu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Improved Fine-Tuning by Better Leveraging Pre-Training Data.

Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Semantic Data Augmentation based Distance Metric Learning for Domain Generalization.

Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Graph Convolution for Re-Ranking in Person Re-Identification.

Yuqi Zhang, Qi Qian, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin

Proceedings of the IEEE International Conference on Acoustics, 2022

RBGNet: Ray-based Grouping for 3D Object Detection.

Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Visual Representation Learning by Online Constrained K-Means.

Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice.

Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Antoni B. Chan, Rong Jin

CoRR, 2021

Why Does Multi-Epoch Training Help?

Yi Xu, Qi Qian, Hao Li, Rong Jin

CoRR, 2021

A Theoretical Analysis of Learning with Noisily Labeled Data.

Yi Xu, Qi Qian, Hao Li, Rong Jin

CoRR, 2021

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition.

Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin

CoRR, 2021

Dash: Semi-Supervised Learning with Dynamic Thresholding.

Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin

Proceedings of the 38th International Conference on Machine Learning, 2021

Weakly Supervised Representation Learning with Coarse Labels.

Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition.

Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework.

Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

WeMix: How to Better Utilize Data Augmentation.

Yi Xu, Asaf Noy, Ming Lin, Qi Qian, Hao Li, Rong Jin

CoRR, 2020

Efficient Kernel Transfer in Knowledge Distillation.

Qi Qian, Hao Li, Juhua Hu

CoRR, 2020

Semi-Anchored Detector for One-Stage Object Detection.

Lei Chen, Qi Qian, Hao Li

CoRR, 2020

Neural Architecture Design for GPU-Efficient Networks.

Ming Lin, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin

CoRR, 2020

Towards Understanding Label Smoothing.

Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin

CoRR, 2020

Representation Learning with Fine-grained Patterns.

Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu

CoRR, 2020

Hierarchically Robust Representation Learning.

Qi Qian, Juhua Hu, Hao Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DR Loss: Improving Object Detection by Distributional Ranking.

Qi Qian, Lei Chen, Hao Li, Rong Jin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.

Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin

CoRR, 2019

Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement.

Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning.

Hesen Chen, Ming Lin, Xiuyu Sun, Qian Qi, Hao Li, Rong Jin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning to Rank Proposals for Object Detection.

Zhiyu Tan, Xuecheng Nie, Qi Qian, Nan Li, Hao Li

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.

Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Robust Optimization over Multiple Domains.

Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee.

Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Large-Scale Distance Metric Learning With Uncertainty.

Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Finding multiple stable clusterings.

Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu

Knowl. Inf. Syst., 2017

The Opensesame NIST 2016 Speaker Recognition Evaluation System.

Gang Liu, Qi Qian, Zhibin Wang, Qingen Zhao, Tianzhou Wang, Hao Li, Jian Xue, Shenghuo Zhu, Rong Jin, Tuo Zhao

Proceedings of the Interspeech 2017, 2017

2015

Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD).

Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu

Mach. Learn., 2015

Towards Making High Dimensional Distance Metric Learning Practical.

Qi Qian, Rong Jin, Lijun Zhang, Shenghuo Zhu

CoRR, 2015

Similarity Learning via Adaptive Regression and Its Application to Image Retrieval.

Qi Qian, Inci M. Baytas, Rong Jin, Anil K. Jain, Shenghuo Zhu

CoRR, 2015

Fine-grained visual categorization via multi-stage metric learning.

Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization.

Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin

CoRR, 2014

Distance metric learning using dropout: a structured regularization approach.

Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion.

Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian, Anil K. Jain

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Building Decision Trees for the Multi-class Imbalance Problem.

T. Ryan Hoens, Qi Qian, Nitesh V. Chawla, Zhi-Hua Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012