Qi Qian

89 papers A* 29A 3Misc 1Journal 51Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs.
CoRR
Sixun Dong, Juhua Hu, Mian Zhang, Ming Yin, Yanjie Fu, Qi Qian
2025 A* conf
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.
ICLR
Jiabo Ye, Haiyang Xu, Haowei Liu, Anwen Hu, Ming Yan, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou
2024 A* conf
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning.
NeurIPS
Jiawei Yao, Qi Qian, Juhua Hu
2024 J jnl
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning.
CoRR
Jiawei Yao, Qi Qian, Juhua Hu
2024 J jnl
Efficient Personalized Text-to-image Generation by Leveraging Textual Subspace.
CoRR
Shian Du, Xiaotian Cheng, Qi Qian, Henglu Wei, Yi Xu, Xiangyang Ji
2024 J jnl
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval.
IEEE Trans. Multim.
Yuqi Zhang, Qi Qian, Hongsong Wang, Chong Liu, Weihua Chen, Fan Wang
2024 A* conf
Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering.
CVPR
Jiawei Yao, Qi Qian, Juhua Hu
2024 J jnl
Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering.
CoRR
Jiawei Yao, Qi Qian, Juhua Hu
2024 — conf
Online Zero-Shot Classification with CLIP.
ECCV (77)
Qi Qian, Juhua Hu
2024 J jnl
Online Zero-Shot Classification with CLIP.
CoRR
Qi Qian, Juhua Hu
2024 — conf
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning.
ECCV (78)
Qi Qian, Yuanhong Xu, Juhua Hu
2024 J jnl
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning.
CoRR
Qi Qian, Yuanhong Xu, Juhua Hu
2024 J jnl
SimInversion: A Simple Framework for Inversion-Based Text-to-Image Editing.
CoRR
Qi Qian, Haiyang Xu, Ming Yan, Juhua Hu
2024 A conf
Text-Guided Mixup Towards Long-Tailed Image Categorization.
BMVC
Richard Franklin, Jiawei Yao, Deyang Zhong, Qi Qian, Juhua Hu
2024 J jnl
Text-Guided Mixup Towards Long-Tailed Image Categorization.
CoRR
Richard Franklin, Jiawei Yao, Deyang Zhong, Qi Qian, Juhua Hu
2024 A* conf
mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration.
CVPR
Qinghao Ye, Haiyang Xu, Jiabo Ye, Ming Yan, Anwen Hu, Haowei Liu, Qi Qian, Ji Zhang, Fei Huang
2024 J jnl
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.
CoRR
Jiabo Ye, Haiyang Xu, Haowei Liu, Anwen Hu, Ming Yan, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou
2024 A* conf
mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model.
ACM Multimedia
Anwen Hu, Yaya Shi, Haiyang Xu, Jiabo Ye, Qinghao Ye, Ming Yan, Chenliang Li, Qi Qian, Ji Zhang, Fei Huang
2023 J jnl
ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human.
CoRR
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
2023 J jnl
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval.
CoRR
Yuqi Zhang, Qi Qian, Hongsong Wang, Chong Liu, Weihua Chen, Fan Wang
2023 A* conf
HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training.
ICCV
Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang
2023 A* conf
Improved Visual Fine-tuning with Natural Language Supervision.
ICCV
Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian
2023 J jnl
Improved Visual Fine-tuning with Natural Language Supervision.
CoRR
Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian
2023 A* conf
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP.
NeurIPS
Qi Qian, Yuanhong Xu, Juhua Hu
2023 J jnl
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP.
CoRR
Qi Qian, Yuanhong Xu, Juhua Hu
2023 A* conf
Stable Cluster Discrimination for Deep Clustering.
ICCV
Qi Qian
2023 — conf
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model.
EMNLP (Findings)
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
2023 J jnl
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model.
CoRR
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
2023 J jnl
Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks.
CoRR
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
2023 A* conf
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.
ICML
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
2023 J jnl
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.
CoRR
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
2023 J jnl
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration.
CoRR
Qinghao Ye, Haiyang Xu, Jiabo Ye, Ming Yan, Anwen Hu, Haowei Liu, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou
2023 J jnl
mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model.
CoRR
Anwen Hu, Yaya Shi, Haiyang Xu, Jiabo Ye, Qinghao Ye, Ming Yan, Chenliang Li, Qi Qian, Ji Zhang, Fei Huang
2022 J jnl
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation.
CoRR
Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, Antoni B. Chan
2022 J jnl
FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation.
CoRR
Jianlong Yuan, Qi Qian, Fei Du, Zhibin Wang, Fan Wang, Yifan Liu
2022 Misc conf
Graph Convolution for Re-Ranking in Person Re-Identification.
ICASSP
Yuqi Zhang, Qi Qian, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin
2022 J jnl
HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training.
CoRR
Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang
2022 J jnl
Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization.
CoRR
Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li
2022 A* conf
Improved Fine-Tuning by Better Leveraging Pre-Training Data.
NeurIPS
Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin
2022 A conf
Improved Knowledge Distillation via Full Kernel Matrix Transfer.
SDM
Qi Qian, Hao Li, Juhua Hu
2022 A* conf
RBGNet: Ray-based Grouping for 3D Object Detection.
CVPR
Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang
2022 J jnl
RBGNet: Ray-based Grouping for 3D Object Detection.
CoRR
Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang
2022 J jnl
Reconstruction Task Finds Universal Winning Tickets.
CoRR
Ruichen Li, Binghui Li, Qi Qian, Liwei Wang
2022 A* conf
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization.
ACM Multimedia
Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li
2022 A* conf
Unsupervised Visual Representation Learning by Online Constrained K-Means.
CVPR
Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin
2021 J jnl
A Theoretical Analysis of Learning with Noisily Labeled Data.
CoRR
Yi Xu, Qi Qian, Hao Li, Rong Jin
2021 A* conf
Dash: Semi-Supervised Learning with Dynamic Thresholding.
ICML
Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yufeng Li, Baigui Sun, Hao Li, Rong Jin
2021 J jnl
Dash: Semi-Supervised Learning with Dynamic Thresholding.
CoRR
Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yufeng Li, Baigui Sun, Hao Li, Rong Jin
2021 J jnl
Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice.
CoRR
Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Antoni B. Chan, Rong Jin
2021 A* conf
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework.
CVPR
Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li
2021 J jnl
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework.
CoRR
Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li
2021 J jnl
Unsupervised Visual Representation Learning by Online Constrained K-Means.
CoRR
Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin
2021 A* conf
Weakly Supervised Representation Learning with Coarse Labels.
ICCV
Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu
2021 J jnl
Why Does Multi-Epoch Training Help?
CoRR
Yi Xu, Qi Qian, Hao Li, Rong Jin
2021 J jnl
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition.
CoRR
Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin
2021 A* conf
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition.
ICCV
Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin
2020 A* conf
DR Loss: Improving Object Detection by Distributional Ranking.
CVPR
Qi Qian, Lei Chen, Hao Li, Rong Jin
2020 J jnl
Efficient Kernel Transfer in Knowledge Distillation.
CoRR
Qi Qian, Hao Li, Juhua Hu
2020 A* conf
Hierarchically Robust Representation Learning.
CVPR
Qi Qian, Juhua Hu, Hao Li
2020 J jnl
Neural Architecture Design for GPU-Efficient Networks.
CoRR
Ming Lin, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin
2020 J jnl
Representation Learning with Fine-grained Patterns.
CoRR
Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu
2020 J jnl
Semi-Anchored Detector for One-Stage Object Detection.
CoRR
Lei Chen, Qi Qian, Hao Li
2020 J jnl
Towards Understanding Label Smoothing.
CoRR
Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin
2020 J jnl
WeMix: How to Better Utilize Data Augmentation.
CoRR
Yi Xu, Asaf Noy, Ming Lin, Qi Qian, Hao Li, Rong Jin
2019 J jnl
DR Loss: Improving Object Detection by Distributional Ranking.
CoRR
Qi Qian, Lei Chen, Hao Li, Rong Jin
2019 J jnl
Hierarchically Robust Representation Learning.
CoRR
Qi Qian, Juhua Hu, Hao Li
2019 A* conf
Learning to Rank Proposals for Object Detection.
ICCV
Zhiyu Tan, Xuecheng Nie, Qi Qian, Nan Li, Hao Li
2019 A* conf
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement.
KDD
Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin
2019 J jnl
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement.
CoRR
Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin
2019 A* conf
Robust Optimization over Multiple Domains.
AAAI
Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li
2019 A* conf
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.
ICCV
Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin
2019 J jnl
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.
CoRR
Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin
2019 A* conf
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee.
AAAI
Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin
2019 J jnl
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee.
CoRR
Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin
2018 A* conf
Large-Scale Distance Metric Learning With Uncertainty.
CVPR
Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin
2018 J jnl
Large-scale Distance Metric Learning with Uncertainty.
CoRR
Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin
2018 J jnl
Robust Optimization over Multiple Domains.
CoRR
Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li
2017 J jnl
Finding multiple stable clusterings.
Knowl. Inf. Syst.
Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu
2017 A conf
The Opensesame NIST 2016 Speaker Recognition Evaluation System.
INTERSPEECH
Gang Liu, Qi Qian, Zhibin Wang, Qingen Zhao, Tianzhou Wang, Hao Li, Jian Xue, Shenghuo Zhu, Rong Jin, Tuo Zhao
2015 J jnl
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD).
Mach. Learn.
Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu
2015 A* conf
Finding Multiple Stable Clusterings.
ICDM
Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu
2015 A* conf
Fine-grained visual categorization via multi-stage metric learning.
CVPR
Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin
2015 J jnl
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval.
CoRR
Qi Qian, Inci M. Baytas, Rong Jin, Anil K. Jain, Shenghuo Zhu
2015 J jnl
Towards Making High Dimensional Distance Metric Learning Practical.
CoRR
Qi Qian, Rong Jin, Lijun Zhang, Shenghuo Zhu
2014 J jnl
An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization.
CoRR
Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin
2014 A* conf
Distance metric learning using dropout: a structured regularization approach.
KDD
Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu
2013 J jnl
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD)
CoRR
Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu
2013 — conf
Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion.
ICML (3)
Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian, Anil K. Jain
2012 — conf
Building Decision Trees for the Multi-class Imbalance Problem.
PAKDD (1)
T. Ryan Hoens, Qi Qian, Nitesh V. Chawla, Zhi-Hua Zhou