Building Decision Trees for the Multi-class Imbalance Problem. - T. Ryan Hoens; Qi Qian 001; Nitesh V. Chawla; Zhi-Hua Zhou (PAKDD (1), 2012)

Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion. - Jinfeng Yi; Lijun Zhang 005; Rong Jin 001; Qi Qian 001; Anil K. Jain 001 (ICML (3), 2013)

Distance metric learning using dropout: a structured regularization approach. - Qi Qian 001; Juhua Hu; Rong Jin 001; Jian Pei 001; Shenghuo Zhu (KDD, 2014)

An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization. - Qi Qian 001; Rong Jin 001; Shenghuo Zhu; Yuanqing Lin (CoRR, 2014)

Fine-grained visual categorization via multi-stage metric learning. - Qi Qian 001; Rong Jin 001; Shenghuo Zhu; Yuanqing Lin (CVPR, 2015)

Similarity Learning via Adaptive Regression and Its Application to Image Retrieval. - Qi Qian 001; Inci M. Baytas; Rong Jin 001; Anil K. Jain 001; Shenghuo Zhu (CoRR, 2015)

Towards Making High Dimensional Distance Metric Learning Practical. - Qi Qian 001; Rong Jin 001; Lijun Zhang 005; Shenghuo Zhu (CoRR, 2015)

Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD). - Qi Qian 001; Rong Jin 001; Jinfeng Yi; Lijun Zhang 005; Shenghuo Zhu (Mach. Learn., 2015)

The Opensesame NIST 2016 Speaker Recognition Evaluation System. - Gang Liu; Qi Qian 001; Zhibin Wang 004; Qingen Zhao; Tianzhou Wang; Hao Li 030; Jian Xue; Shenghuo Zhu; Rong Jin 001; Tuo Zhao (INTERSPEECH, 2017)

Finding multiple stable clusterings. - Juhua Hu; Qi Qian 001; Jian Pei 001; Rong Jin 001; Shenghuo Zhu (Knowl. Inf. Syst., 2017)

Large-Scale Distance Metric Learning With Uncertainty. - Qi Qian 001; Jiasheng Tang; Hao Li 030; Shenghuo Zhu; Rong Jin 001 (CVPR, 2018)

Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. - Ming Lin 002; Shuang Qiu; Jieping Ye; Xiaomin Song; Qi Qian 001; Liang Sun 001; Shenghuo Zhu; Rong Jin 001 (AAAI, 2019)

Robust Optimization over Multiple Domains. - Qi Qian 001; Shenghuo Zhu; Jiasheng Tang; Rong Jin 001; Baigui Sun; Hao Li 030 (AAAI, 2019)

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. - Qi Qian 001; Lei Shang; Baigui Sun; Juhua Hu; Tacoma Tacoma; Hao Li 030; Rong Jin 001 (ICCV, 2019)

Learning to Rank Proposals for Object Detection. - Zhiyu Tan; Xuecheng Nie; Qi Qian 001; Nan Li 019; Hao Li 030 (ICCV, 2019)

MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning. - Hesen Chen; Ming Lin 002; Xiuyu Sun; Qian Qi 001; Hao Li 030; Rong Jin 001 (ICCV Workshops, 2019)

Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. - Ming Lin 002; Xiaomin Song; Qi Qian 001; Hao Li 030; Liang Sun 001; Shenghuo Zhu; Rong Jin 001 (KDD, 2019)

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. - Qi Qian 001; Lei Shang; Baigui Sun; Juhua Hu; Hao Li 030; Rong Jin 001 (CoRR, 2019)

DR Loss: Improving Object Detection by Distributional Ranking. - Qi Qian 001; Lei Chen; Hao Li 030; Rong Jin 001 (CVPR, 2020)

Hierarchically Robust Representation Learning. - Qi Qian 001; Juhua Hu; Hao Li 030 (CVPR, 2020)

Representation Learning with Fine-grained Patterns. - Yuanhong Xu; Qi Qian 001; Hao Li 030; Rong Jin 001; Juhua Hu (CoRR, 2020)

Towards Understanding Label Smoothing. - Yi Xu 008; Yuanhong Xu; Qi Qian 001; Hao Li 030; Rong Jin 001 (CoRR, 2020)

Neural Architecture Design for GPU-Efficient Networks. - Ming Lin 002; Hesen Chen; Xiuyu Sun; Qi Qian 001; Hao Li 030; Rong Jin 001 (CoRR, 2020)

Semi-Anchored Detector for One-Stage Object Detection. - Lei Chen; Qi Qian 001; Hao Li 030 (CoRR, 2020)

Efficient Kernel Transfer in Knowledge Distillation. - Qi Qian 001; Hao Li 030; Juhua Hu (CoRR, 2020)

WeMix: How to Better Utilize Data Augmentation. - Yi Xu 008; Asaf Noy; Ming Lin 002; Qi Qian 001; Hao Li 030; Rong Jin 001 (CoRR, 2020)

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework. - Qiang Zhou 001; Chaohui Yu; Zhibin Wang 004; Qi Qian 001; Hao Li 030 (CVPR, 2021)

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition. - Ming Lin 002; Pichao Wang; Zhenhong Sun; Hesen Chen; Xiuyu Sun; Qi Qian 001; Hao Li 030; Rong Jin 001 (ICCV, 2021)

Weakly Supervised Representation Learning with Coarse Labels. - Yuanhong Xu; Qi Qian 001; Hao Li 030; Rong Jin 001; Juhua Hu (ICCV, 2021)

Dash: Semi-Supervised Learning with Dynamic Thresholding. - Yi Xu 008; Lei Shang; Jinxing Ye; Qi Qian 001; Yufeng Li 008; Baigui Sun; Hao Li 030; Rong Jin 001 (ICML, 2021)

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition. - Ming Lin 002; Pichao Wang; Zhenhong Sun; Hesen Chen; Xiuyu Sun; Qi Qian 001; Hao Li 030; Rong Jin 001 (CoRR, 2021)

A Theoretical Analysis of Learning with Noisily Labeled Data. - Yi Xu 008; Qi Qian 001; Hao Li 030; Rong Jin 001 (CoRR, 2021)

Why Does Multi-Epoch Training Help? - Yi Xu 008; Qi Qian 001; Hao Li 030; Rong Jin 001 (CoRR, 2021)

Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice. - Ziquan Liu; Yi Xu 008; Yuanhong Xu; Qi Qian 001; Hao Li 030; Antoni B. Chan; Rong Jin 001 (CoRR, 2021)

Unsupervised Visual Representation Learning by Online Constrained K-Means. - Qi Qian 001; Yuanhong Xu; Juhua Hu; Hao Li 030; Rong Jin 001 (CVPR, 2022)

RBGNet: Ray-based Grouping for 3D Object Detection. - Haiyang Wang; Shaoshuai Shi; Ze Yang 003; Rongyao Fang; Qi Qian 001; Hongsheng Li 001; Bernt Schiele; Liwei Wang 001 (CVPR, 2022)

Graph Convolution for Re-Ranking in Person Re-Identification. - Yuqi Zhang 001; Qi Qian 001; Chong Liu 002; Weihua Chen; Fan Wang 019; Hao Li 030; Rong Jin 001 (ICASSP, 2022)

Semantic Data Augmentation based Distance Metric Learning for Domain Generalization. - Mengzhu Wang; Jianlong Yuan; Qi Qian 001; Zhibin Wang 004; Hao Li 030 (ACM Multimedia, 2022)

Improved Fine-Tuning by Better Leveraging Pre-Training Data. - Ziquan Liu; Yi Xu 008; Yuanhong Xu; Qi Qian 001; Hao Li 030; Xiangyang Ji; Antoni B. Chan; Rong Jin 001 (NeurIPS, 2022)

Improved Knowledge Distillation via Full Kernel Matrix Transfer. - Qi Qian 001; Hao Li 030; Juhua Hu (SDM, 2022)

Reconstruction Task Finds Universal Winning Tickets. - Ruichen Li; Binghui Li; Qi Qian 001; Liwei Wang 001 (CoRR, 2022)

An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation. - Ziquan Liu; Yi Xu 008; Yuanhong Xu; Qi Qian 001; Hao Li 030; Rong Jin 001; Xiangyang Ji; Antoni B. Chan (CoRR, 2022)

Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization. - Mengzhu Wang; Jianlong Yuan; Qi Qian 001; Zhibin Wang 004; Hao Li 030 (CoRR, 2022)

FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation. - Jianlong Yuan; Qi Qian 001; Fei Du; Zhibin Wang 004; Fan Wang 019; Yifan Liu 001 (CoRR, 2022)

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. - Jiabo Ye; Anwen Hu; Haiyang Xu 001; Qinghao Ye; Ming Yan 008; Guohai Xu; Chenliang Li; Junfeng Tian; Qi Qian 001; Ji Zhang 011; Qin Jin; Liang He 001; et al. (EMNLP (Findings), 2023)

Stable Cluster Discrimination for Deep Clustering. - Qi Qian 001 (ICCV, 2023)

Improved Visual Fine-tuning with Natural Language Supervision. - Junyang Wang 001; Yuanhong Xu; Juhua Hu; Ming Yan 008; Jitao Sang; Qi Qian 001 (ICCV, 2023)

HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training. - Qinghao Ye; Guohai Xu; Ming Yan 008; Haiyang Xu 001; Qi Qian 001; Ji Zhang 011; Fei Huang 002 (ICCV, 2023)

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. - Haiyang Xu 001; Qinghao Ye; Ming Yan 008; Yaya Shi; Jiabo Ye; Yuanhong Xu; Chenliang Li; Bin Bi; Qi Qian 001; Wei Wang 225; Guohai Xu; Ji Zhang 011; et al. (ICML, 2023)

Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. - Qi Qian 001; Yuanhong Xu; Juhua Hu (NeurIPS, 2023)

ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human. - Junfeng Tian; Hehong Chen; Guohai Xu; Ming Yan 008; Xing Gao; Jianhai Zhang; Chenliang Li; Jiayi Liu 004; Wenshen Xu; Haiyang Xu 001; Qi Qian 001; Wei Wang 225; et al. (CoRR, 2023)

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality. - Qinghao Ye; Haiyang Xu 001; Guohai Xu; Jiabo Ye; Ming Yan 008; Yiyang Zhou; Junyang Wang 001; Anwen Hu; Pengcheng Shi; Yaya Shi; Chenliang Li; Yuanhong Xu; et al. (CoRR, 2023)

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks. - Haiyang Xu 001; Qinghao Ye; Xuan Wu; Ming Yan 008; Yuan Miao; Jiabo Ye; Guohai Xu; Anwen Hu; Yaya Shi; Guangwei Xu; Chenliang Li; Qi Qian 001; et al. (CoRR, 2023)

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding. - Jiabo Ye; Anwen Hu; Haiyang Xu 001; Qinghao Ye; Ming Yan 008; Yuhao Dan; Chenlin Zhao; Guohai Xu; Chenliang Li; Junfeng Tian; Qian Qi 001; Ji Zhang 011; et al. (CoRR, 2023)

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration. - Qinghao Ye; Haiyang Xu 001; Jiabo Ye; Ming Yan 008; Anwen Hu; Haowei Liu; Qi Qian 001; Ji Zhang 011; Fei Huang 002; Jingren Zhou 001 (CoRR, 2023)

Text-Guided Mixup Towards Long-Tailed Image Categorization. - Richard Franklin; Jiawei Yao; Deyang Zhong; Qi Qian 001; Juhua Hu (BMVC, 2024)

Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering. - Jiawei Yao; Qi Qian 001; Juhua Hu (CVPR, 2024)

mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration. - Qinghao Ye; Haiyang Xu 001; Jiabo Ye; Ming Yan 008; Anwen Hu; Haowei Liu; Qi Qian 001; Ji Zhang 011; Fei Huang 002 (CVPR, 2024)

Online Zero-Shot Classification with CLIP. - Qi Qian 001; Juhua Hu (ECCV (77), 2024)

SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning. - Qi Qian 001; Yuanhong Xu; Juhua Hu (ECCV (78), 2024)

mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model. - Anwen Hu; Yaya Shi; Haiyang Xu 001; Jiabo Ye; Qinghao Ye; Ming Yan 008; Chenliang Li; Qi Qian 001; Ji Zhang 011; Fei Huang 002 (ACM Multimedia, 2024)

Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning. - Jiawei Yao; Qi Qian 001; Juhua Hu (NeurIPS, 2024)

Efficient Personalized Text-to-image Generation by Leveraging Textual Subspace. - Shian Du; Xiaotian Cheng; Qi Qian 001; Henglu Wei; Yi Xu 008; Xiangyang Ji (CoRR, 2024)

SimInversion: A Simple Framework for Inversion-Based Text-to-Image Editing. - Qi Qian 001; Haiyang Xu 001; Ming Yan 008; Juhua Hu (CoRR, 2024)

Graph Convolution Based Efficient Re-Ranking for Visual Retrieval. - Yuqi Zhang 001; Qi Qian 001; Hongsong Wang; Chong Liu 002; Weihua Chen; Fan Wang 019 (IEEE Trans. Multim., 2024)

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models. - Jiabo Ye; Haiyang Xu 001; Haowei Liu; Anwen Hu; Ming Yan 008; Qi Qian 001; Ji Zhang 011; Fei Huang 002; Jingren Zhou 001 (ICLR, 2025)