Qi Qian
32 papers · 2013–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
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Cross-Pollinator
(14)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(66)
π
Grand Slam
π€
Dynamic Duo
(13)
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Conference Pioneer
π₯
Unstoppable
(9)
π
Century Club
(31)
π
Trend Setter
ποΈ
Keyword Collector
(156)
β‘
Prolific Year
(6)
Conferences
CVPR (9)
ICCV (7)
EMNLP (3)
ICML (3)
NIPS (3)
AAAI (2)
ECCV (2)
ACL (1)
ICLR (1)
INTERSPEECH (1)
Top co-authors
Keywords
representation learning
(5)
distance metric learning
(4)
image classification
(3)
transfer learning
(3)
pseudo labeling
(2)
object detection
(2)
multiple clustering
(2)
data augmentation
(2)
ranking loss
(2)
zero-shot learning
(2)
embedding learning
(2)
foundation model
(2)
large language model
(2)
multi-task learning
(1)
semi-supervised learning
(1)
robust optimization
(1)
metric learning
(1)
model quantization
(1)
federated learning
(1)
catastrophic forgetting
(1)
Papers
Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term HumanβAgent Interaction
ACL 2026
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
ICLR 2025
Enhancing Model Privacy in Federated Learning with Random Masking and Quantization
EMNLP 2025
Searching for Best Practices in Retrieval-Augmented Generation
EMNLP 2024
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning
ECCV 2024
Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering
CVPR 2024
Online Zero-Shot Classification with CLIP
ECCV 2024
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
CVPR 2024
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
NIPS 2024
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model
EMNLP 2023
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP
NIPS 2023
HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training
ICCV 2023
Stable Cluster Discrimination for Deep Clustering
ICCV 2023
Improved Visual Fine-tuning with Natural Language Supervision
ICCV 2023
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
ICML 2023
Unsupervised Visual Representation Learning by Online Constrained K-Means
CVPR 2022
Improved Fine-Tuning by Better Leveraging Pre-Training Data
NIPS 2022
RBGNet: Ray-Based Grouping for 3D Object Detection
CVPR 2022
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition
ICCV 2021
Weakly Supervised Representation Learning With Coarse Labels
ICCV 2021
Dash: Semi-Supervised Learning with Dynamic Thresholding
ICML 2021
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
CVPR 2021
DR Loss: Improving Object Detection by Distributional Ranking
CVPR 2020
Hierarchically Robust Representation Learning
CVPR 2020
Learning to Rank Proposals for Object Detection
ICCV 2019
Robust Optimization over Multiple Domains
AAAI 2019
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling
ICCV 2019
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee
AAAI 2019
Large-Scale Distance Metric Learning With Uncertainty
CVPR 2018
The Opensesame NIST 2016 Speaker Recognition Evaluation System
INTERSPEECH 2017
Fine-Grained Visual Categorization via Multi-Stage Metric Learning
CVPR 2015
Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion
ICML 2013