Qian, Qi

31 publications

ICLR 2026 MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs Sixun Dong, Juhua Hu, Mian Zhang, Ming Yin, Yanjie Fu, Qi Qian

ICLR 2026 RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data Zhengkang Guo, Wenhao Liu, Mingchen Xie, Jingwen Xu, Zisu Huang, Muzhao Tian, Jianhan Xu, Yuanzhe Shen, Qi Qian, Muling Wu, Xiaohua Wang, Heda Wang, Yao Hu, Changze Lv, Xuanjing Huang, Xiaoqing Zheng

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

NeurIPS 2024 Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning Jiawei Yao, Qi Qian, Juhua Hu

CVPR 2024 Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering Jiawei Yao, Qi Qian, Juhua Hu

ECCV 2024 Online Zero-Shot Classification with CLIP Qi Qian, Juhua Hu

ECCV 2024 SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning Qi Qian, Yuanhong Xu, Juhua Hu

CVPR 2024 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

ICCV 2023 HiTeA: Hierarchical Temporal-Aware Video-Language Pre-Training Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang

ICCV 2023 Improved Visual Fine-Tuning with Natural Language Supervision Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian

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

ICCV 2023 Stable Cluster Discrimination for Deep Clustering Qi Qian

ICML 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

NeurIPSW 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

NeurIPS 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

CVPR 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

CVPR 2022 Unsupervised Visual Representation Learning by Online Constrained K-Means Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin

ICML 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

CVPR 2021 Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li

ICCV 2021 Weakly Supervised Representation Learning with Coarse Labels Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu

ICCV 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

CVPR 2020 DR Loss: Improving Object Detection by Distributional Ranking Qi Qian, Lei Chen, Hao Li, Rong Jin

CVPR 2020 Hierarchically Robust Representation Learning Qi Qian, Juhua Hu, Hao Li

ICCV 2019 Learning to Rank Proposals for Object Detection Zhiyu Tan, Xuecheng Nie, Qi Qian, Nan Li, Hao Li

AAAI 2019 Robust Optimization over Multiple Domains Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li

ICCV 2019 SoftTriple Loss: Deep Metric Learning Without Triplet Sampling Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin

AAAI 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

CVPR 2018 Large-Scale Distance Metric Learning with Uncertainty Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin

MLJ 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

CVPR 2015 Fine-Grained Visual Categorization via Multi-Stage Metric Learning Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin

ICML 2013 Semi-Supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian, Anil Jain